Top Customer Engagement Platforms for Marketing & Real-Time Needs 2026

Search "customer engagement platform" and the category looks enormous, dozens of vendors, all describing themselves in nearly identical language: omnichannel, personalized, AI-powered, real-time. The category is genuinely crowded, but the products underneath that shared vocabulary solve meaningfully different problems, and the differences matter more once you're evaluating one for a specific industry rather than reading a features page.<h2 class="">What a Customer Engagement Platform Actually Needs to Do</h2>Stripped down, a customer engagement platform exists to do one thing: connect what a business knows about a customer to what it actually says or does next, across whatever channel that customer happens to be using. Email, SMS, push, in-app, WhatsApp, web, call center. The channel list on most vendor pages looks similar. What varies enormously is what happens between the customer signal arriving and the platform acting on it.Some platforms are built primarily as sending infrastructure: strong channel coverage, solid campaign tooling, decent personalization at the segment level. Others are built around a real decisioning layer: evaluating a live signal, checking eligibility and prior responses, and deciding the next action in the moment rather than from a pre-built campaign. Both get marketed as "customer engagement platforms." Only one of them can actually respond to a customer signal while it's still relevant.<h2 class="">What Separates One Platform From Another</h2>A handful of questions cut through the shared marketing language faster than a features comparison does.How fast is the decision actually made, not just the send. A platform can have excellent delivery speed and still be deciding on stale data if the underlying logic only refreshes on a schedule. The real question is whether the platform evaluates a signal the moment it happens or works from a periodic segment refresh.How deep does the platform go in your specific industry. A platform built primarily for retail or SaaS engagement often lacks native support for banking-grade eligibility and suppression logic, or telecom-scale event volume, as a baseline capability rather than a custom build.What deployment options actually exist. Most of this category is multitenant SaaS by default, which fits most industries fine. Regulated industries, banks especially, often need private cloud or on-premise deployment for data residency reasons a pure SaaS architecture can't accommodate without real compromise.Who can actually change the logic once it's live. Some platforms require engineering involvement for meaningful changes to targeting or triggers. Others are built so a marketing or CVM team can adjust journeys directly, which affects total cost of ownership far more than the license price does.<a href="https://share.hsforms.com/1dlbicz0CSB6IgCR4GKQHUQ347on" target="_blank"><img src="https://cms.evam.com/Uploads/Content/cd64dc5b9e214271a3c9f08ac91a3f46.webp" style="width: 100%;"></a> <h2 class="">How the Major Platforms Compare</h2><table class="table table-bordered"><tbody><tr><td>Platform </td><td>Real-Time Decisioning </td><td>Industry Depth </td><td>Deployment Options </td><td>Who Can Edit Live Journeys </td></tr><tr><td>Evam (evamX) </td><td>Sub-second, event-driven via the NBX engine </td><td>Purpose-built for banking, telecom, and retail with native eligibility and suppression logic </td><td>Cloud, private cloud, on-premise, hybrid </td><td>Business teams, via Journey Designer and Evo AI </td></tr><tr><td>Braze </td><td>Fast, cross-channel messaging with growing AI-driven triggers </td><td>Strong in retail, media, and app-first brands, less built around regulated-industry compliance </td><td>Multitenant SaaS </td><td>Marketer-friendly, geared toward campaign and lifecycle messaging </td></tr><tr><td>Salesforce </td><td>Decisioning layered on top of a CRM-first architecture </td><td>Broad reach across industries rather than deep banking or telecom specialization </td><td>Multitenant SaaS </td><td>Strong no-code tooling, though real-time depth varies by module </td></tr><tr><td>HubSpot </td><td>Primarily campaign and workflow automation rather than live-signal decisioning </td><td>Broad horizontal reach, built around combined marketing and sales use cases </td><td>Multitenant SaaS </td><td>Marketer-friendly, oriented around inbound and CRM-driven workflows </td></tr><tr><td>MoEngage </td><td>Strong mobile-first, real-time triggering, notably in WhatsApp-heavy and international markets </td><td>Deep in mobile-first consumer brands, less specialized in banking-grade compliance needs </td><td>Multitenant SaaS </td><td>Marketing-led, positioned around ease of use for growth teams </td></tr></tbody></table>None of these are weak platforms. Each is a legitimate, widely deployed choice for the use case it was built around. The mismatch shows up when a bank or telecom operator picks a platform built primarily for retail or SaaS engagement and then spends the next year building the compliance and latency requirements that should have been there from the start.<h2 class="">Where Evam Fits, and Where It Doesn't</h2><img src="https://cms.evam.com/Uploads/Content/98638d2ad086443cb2c5fab93f0c1e5f.webp" style="width: 100%;"> Evam is built specifically for industries where an engagement decision has to be fast, compliant, and coordinated across channels a typical retail-first platform doesn't prioritize, ATM, IVR, call center, and core banking or telecom systems alongside the usual app, web, and messaging channels. That focus is a genuine strength for banking, telecom, and retail operators managing high-volume, real-time decisions, and a genuine mismatch for a brand whose engagement needs stop at email and app push.For a closer look at what this looks like inside a specific industry, our piece on <a href="https://evam.com/blog/customer-engagement-in-banking" target="_blank">customer engagement in banking</a> covers what actually drives engagement quality once channel count stops being the differentiator, and our <a href="https://evam.com/blog/top-customer-journey-orchestration-platforms-compared" target="_blank">customer journey orchestration platform comparison</a> covers the closely related orchestration layer this same architecture powers.<h2 class="">Where to Go Next</h2>The honest way to choose between these platforms isn't reading feature lists that all use the same words. It's asking how each one handles the specific decision that matters most in your business, and how fast it can actually make that decision when it counts.If you want to see what real-time customer engagement looks like against your own systems, our team is glad to walk through it with you. Reach out through our contact page or explore the <a href="https://evam.com/product-demo-hub" target="_blank">Product Demo Hub</a> directly.<a href="https://evam.com/request-demo" target="_blank"><img src="https://cms.evam.com/Uploads/Content/14023e27e3b14b0caf894a435e0918be.webp" style="width: 100%;"></a>

Table of Content<ul><li>What a Customer Engagement Platform Actually Needs to Do</li><li>What Separates One Platform From Another</li><li>How the Major Platforms Compare</li><li>Where Evam Fits, and Where It Doesn't</li><li>Where to Go Next</li></ul>

Reading Time: 8 min,customer engagement platform,customer engagement software,top customer engagement platforms,best customer engagement platform,customer engagement platform comparison

Top Customer Engagement Platforms Compared (2026)

August 12, 2026

Most customer engagement platforms were built for marketing teams sending campaigns. Here's how the major options compare for real-time, regulated industries.

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Frequently Asked Questions (FAQ)

Customer Engagement in Banking: What Actually Drives It

Ask a bank how it measures customer engagement and the answer is usually a channel inventory: mobile app, online banking, branch, call center, ATM, all present, all technically "engaged." That inventory says almost nothing about whether the bank is actually engaging well, because being present on a channel and responding to what a customer is doing on it are two different capabilities, and most banks only have the first one.Customer engagement in banking is decided less by which channels exist and more by how fast the gap closes between a customer signal and the bank's response to it. A customer who checks a loan calculator and closes the tab without applying is a signal. A customer who declines an offer at the ATM and logs into the app minutes later is a signal. Whether that signal turns into a stronger relationship or a missed one depends entirely on what happens in the minutes right after it, not on how many channels the bank happens to operate.<h2 class="">Why Most Banks Measure Engagement the Wrong Way</h2>The default metrics, app downloads, login frequency, channel adoption, describe activity, not engagement. A customer can be highly active across every channel a bank offers and still receive interactions that feel generic, delayed, or disconnected from what they were actually doing a moment ago. The more useful question isn't how many people opened the app. It's how a specific journey performed, where customers dropped off, what triggered a re-engagement, and whether the response happened while it still mattered, the kind of view a channel-adoption number can't answer on its own.The deeper problem is architectural. Most banks run engagement through separate systems for each channel, a marketing platform for campaigns, a CRM for service history, a core banking system for transactions, each with its own view of the customer and its own schedule for acting on what it sees. A customer's behavior gets fragmented across these systems, which means no single one of them ever has the full picture at the moment a decision needs to be made. Good engagement isn't possible from a fragmented view of the customer, no matter how sophisticated any one system is on its own.<h2 class="">What a Real Customer Engagement Platform for Banks Needs to Do</h2>A genuine <a href="https://evam.com/real-time-customer-engagement-platform" target="_blank">customer engagement platform</a> for banks has to clear three bars that a generic marketing tool, built for retail or e-commerce, usually doesn't.It has to unify context across every banking touchpoint, not just digital ones. A decision made from app behavior alone, ignoring what happened at the branch or through the call center that same week, is working from an incomplete picture. Banking customers move across channels constantly, and the platform has to follow them, not just watch whichever channel it was built for.It has to respect compliance and eligibility as a first-class requirement, not an afterthought bolted onto a generic decisioning engine. A relevant offer that a customer isn't actually eligible for isn't engagement, it's a problem waiting to surface in an audit. This is the single biggest reason retail-first engagement tools tend to struggle when deployed inside a bank.It has to act inside the moment, not around it. A system that reviews engagement weekly and adjusts a campaign for next month is still fundamentally reactive to the past. The moments that actually shape a banking relationship, a large withdrawal, a declined transaction, a support call about a fee, are moments, not trends, and they require a response inside the same session, not the next planning cycle.<h2 class="">Where Engagement Actually Gets Won or Lost</h2>Banking engagement rarely breaks in dramatic moments. It breaks in small, repeated ones: a notification that doesn't reflect what the customer just did, an offer repeated after it was already declined, a service issue that gets resolved on one channel and then followed up on again through another as if it never happened.<img src="https://cms.evam.com/Uploads/Content/8e3bca2b796d403ca6ba5ebd7fa4fdbb.webp" style="width: 100%;"> Each of these individually looks minor. Compounded across dozens of interactions a year, they're what separates a bank a customer feels understood by from one they merely use. This is also where contextual, real-time offers do the heaviest lifting, turning a moment that would otherwise pass unnoticed, a login, a transaction, a hesitation, into a specific, relevant next step instead of a missed opportunity. Our piece on how <a href="https://evam.com/blog/next-best-offer-banking-ai" target="_blank">next-best-offer decisioning works in banking</a> covers this specific mechanism in depth, including why most banks' attempts at it break down architecturally rather than strategically.<h2 class="">What This Looks Like in Practice</h2>Home Credit Kazakhstan rebuilt its engagement approach around real-time, event-based response rather than scheduled bulk campaigns, and the results were substantial: <a href="https://evam.com/success-story/home-credit-bank-kazakhstan?_gl=1*t7qle9*_gcl_au*MjExMzI4NDMzOS4xNzg0NjM2ODY1LjEwNjU2NDMwNS4xNzg1OTMwODU0LjE3ODU5MzM5NzkuMTM4OTE3NzU1LjE3ODU5MTg1NzUuMTc4NTkzMzk4NA..*_ga*MTA3Njc1OTU3MC4xNzY5MDc1MzI5*_ga_BKKGDG2912*czE3ODU5MjY2MjkkbzQ3MiRnMSR0MTc4NTkzMzk4NCRqNTkkbDAkaDgwNjY5MjE1OCRkczQycmRKN1BuYl9TR25Pa1F2QVNMVlU4TTUwS05VVzNGQQ.." target="_blank">a 6x higher conversion rate and dormant customers reactivated through timing rather than a better offer.</a> Alfiya Khussainova, the bank's Director of Customer Value Management and Cross-Selling, described the shift as turning ideas into reality fast enough to reach customers at the moment that mattered, not after it had passed.Kapital Bank shows what this looks like sustained at scale. <a href="https://evam.com/success-story/kapital-bank-turned-data-into-growth" target="_blank">Running 96 active real-time scenarios and processing more than 2 million customer events daily</a>, the bank grew incremental deposit sales by 16 percent, a result that depends on engagement staying relevant across millions of daily interactions rather than degrading into noise as volume grows.Neither result came from adding a channel or a bigger campaign budget. Both came from shortening the distance between a customer signal and the bank's response to it.<a href="https://share.hsforms.com/1mJnvJGHMSk-KNuIy8LR_xw347on" target="_blank"><img src="https://cms.evam.com/Uploads/Content/2fbd8def23ab409c9ee9114ee4f201d9.webp" style="width: 100%;"></a> <h2 class="">How evamX Powers Customer Engagement in Banking</h2><img src="https://cms.evam.com/Uploads/Content/1f44980a37ce4f84bea6bd437f96df1d.webp" style="width: 100%;"><a href="https://evam.com/evamx" target="_blank"> </a><a href="https://evam.com/evamx" target="_blank">evamX</a> unifies signals from across the banking environment, core banking, card transactions, mobile app, call center, branch, into a single real-time decisioning layer, so a customer's context travels with them from channel to channel instead of resetting at each one. The <a href="https://evam.com/products/nbx-decisioning" target="_blank">NBX decisioning engine</a> evaluates each signal against eligibility, compliance rules, and the customer's full history, then acts in the moment rather than on a review cycle, through whichever channel the customer is actually using.Suppression and priority logic run across every channel simultaneously, so an offer declined on one doesn't get repeated on another, and a resolved issue doesn't generate a redundant follow-up. <a href="https://evam.com/products/journey-designer" target="_blank">Journey Designer</a> gives CVM and marketing teams direct control over the rules governing these interactions, without an engineering ticket for every adjustment.<a href="https://evam.com/product-demo-hub" target="_blank"><img src="https://cms.evam.com/Uploads/Content/2e2b0160bb16416981bd2f7c3f87c450.webp" style="width: 100%;"></a> Closing the loop matters just as much as reacting quickly. evamX's <a href="https://evam.com/products/customer-feedback" target="_blank">Customer Feedback</a> module lets a bank trigger a short survey directly inside a journey right after the moment that matters, a completed transfer, a resolved support call, a card activation, while the experience is still fresh rather than through a generic survey days later that arrives disconnected from what actually happened. Because responses link back to the same journey and channel, a low satisfaction score isn't just a number in a quarterly report. It's a signal the same decisioning layer can act on directly. For a broader view of how this fits into the wider shift happening across banking, our piece on AI in banking covers the trends driving this shift industry-wide.<h2 class="">Where to Go Next</h2>Home Credit Kazakhstan and Kapital Bank didn't win engagement with a bigger rewards catalog or another channel. They won it by closing the gap between what a customer just did and how fast the bank responded to it.If you want to see what this looks like against your own customer base, our team is glad to walk through it with you. Reach out through our contact page or explore the <a href="https://evam.com/product-demo-hub" target="_blank">Product Demo Hub</a> directly.<a href="https://evam.com/request-demo" target="_blank"><img src="https://cms.evam.com/Uploads/Content/9d16428b249844a2b9253020e1fd0d08.webp" style="width: 100%;"></a>

Table of Content<ul><li>Why Most Banks Measure Engagement the Wrong Way</li><li>What a Real Customer Engagement Platform for Banks Needs to Do</li><li>Where Engagement Actually Gets Won or Lost</li><li>What This Looks Like in Practice</li><li>How evamX Powers Customer Engagement in Banking</li><li>Where to Go Next</li></ul>

Reading Time: 7 min,customer engagement in banking,digital customer engagement banking,customer engagement platform for banks,bank customer engagement,banking customer engagement strategy

Customer Engagement in Banking Isn't a Channel Count. It's a Response Time.

August 3, 2026

Most banks measure customer engagement by channel count. The banks actually winning it measure something different: how fast they respond to what a customer just did.

Top Customer Journey Orchestration Platforms Compared (2026)

Search "customer journey orchestration platform" and nearly every result says roughly the same thing: connect every touchpoint, orchestrate the journey in real time, personalize at scale. The category has converged on identical language faster than the products underneath it have converged on identical capability, which makes the actual differences hard to see from a features page alone.Those differences matter more in some industries than others. A retail brand orchestrating email and app notifications has different requirements than a bank orchestrating a decision that has to respect lending regulations, or a telecom operator orchestrating a decision across a network with millions of daily events. The platform that's a great fit for one is often a poor fit for the other, even though both get marketed with the same vocabulary.<h2 class="">Why Every Platform in This Category Sounds the Same</h2>Most customer journey orchestration platforms trace back to one of two starting points: a marketing automation tool that added real-time triggers, or a customer data platform that added execution capability. Both paths lead to a product that can reasonably claim to do orchestration. Neither path guarantees the platform can make a decision in the time a compliance-sensitive industry actually needs, or coordinate that decision across channels like IVR, ATM, and call center that a typical retail-first platform never had to support.The result is a category where the marketing language flattens real differences in architecture, industry depth, and decisioning speed. Comparing platforms on their homepage claims tells you almost nothing. Comparing them on decisioning latency, industry-specific compliance handling, and deployment flexibility tells you most of what you actually need to know.<h2 class="">What Actually Separates One Platform From Another</h2>How fast a decision actually gets made. Some platforms marketed as real-time refresh recommendations on an hourly or daily cycle, which is faster than a human-run campaign but not the same as evaluating a live signal in milliseconds. The gap only shows up under real usage, not on a spec sheet.Whether industry-specific rules are native or bolted on. A platform built for retail campaign orchestration can usually add eligibility and suppression logic for banking or telecom as a custom project. A platform built around that logic from the start handles it as a baseline capability, which shows up in implementation time and long-term maintenance cost.Deployment flexibility. Multitenant SaaS is the default for most of this category, which works well for many industries. Banks in particular often need private cloud or on-premise options for data residency reasons a pure SaaS architecture can't always satisfy.Who can actually change a journey once it's live. Some platforms require a technical team for meaningful changes to live logic. Others are built so a marketing or CVM team can adjust triggers, rules, and channel logic directly, which matters far more to total cost of ownership than the sticker price of the license.<h2 class="">How the Major Platforms Compare</h2><table class="table table-bordered"><tbody><tr><td>Platform	 </td><td>Real-Time Decisioning </td><td>Industry Depth </td><td>Deployment Options </td><td>Who Can Edit Live Journeys </td></tr><tr><td>Evam (evamX) </td><td>Sub-second, event-driven via the NBX engine </td><td>Purpose-built for banking, telecom, and retail with native eligibility and suppression logic </td><td>Cloud, private cloud, on-premise, hybrid </td><td>Business teams, via Journey Designer and Evo AI </td></tr><tr><td>Adobe </td><td>Strong via Adobe Journey Optimizer, built on top of a broader experience cloud </td><td>Broad horizontal reach across many industries rather than banking or telecom-specific depth </td><td>Primarily cloud-based, enterprise-tier </td><td>Marketing teams, with more technical setup for complex logic </td></tr><tr><td>Braze</td><td>Fast, cross-channel messaging with growing AI-driven triggers </td><td>Strong in retail, media, and app-first brands, less built around regulated-industry compliance </td><td>Multitenant SaaS </td><td>Marketer-friendly, geared toward campaign and lifecycle messaging </td></tr><tr><td>Salesforce </td><td>Decisioning layered on top of a CRM-first architecture </td><td>Broad reach across industries rather than deep banking or telecom specialization </td><td>Multitenant SaaS </td><td>Strong no-code tooling, though real-time depth varies by module </td></tr><tr><td>Optimove </td><td>Strong in predictive modeling and campaign optimization, with orchestration built around that core </td><td>Notable strength in gaming and retail, less specialized for banking-grade compliance needs </td><td>Cloud-based SaaS </td><td>Marketing-led, positioned around ease of use for CRM teams </td></tr><tr><td>Genesys </td><td>Strong in real-time interaction management, historically contact-center-first </td><td>Deep in customer service and contact center orchestration, less centered on marketing journey use cases </td><td>Cloud, hybrid</td><td>Often requires more technical configuration given its contact-center roots </td></tr></tbody></table>None of these are weak platforms. Each is a legitimate, widely deployed choice for the use case it was built around. The mismatch happens when a bank or telecom operator picks a platform built primarily for retail campaign orchestration and then spends the next year building the compliance and latency requirements that should have been there from the start.<h2 class="">Where Evam Fits, and Where It Doesn't</h2>Evam is built specifically for industries where a journey decision has to be fast, compliant, and coordinated across channels a typical retail-first platform doesn't prioritize, ATM, IVR, call center, and core banking or telecom systems alongside the usual app, web, and messaging channels. That focus is a genuine strength for banking, telecom, and retail operators managing high-volume, real-time decisions, and a genuine mismatch for a brand whose orchestration needs stop at email and app push. <img src="https://cms.evam.com/Uploads/Content/6075de07f0d04796aa96d72d88b837f4.webp" style="width: 100%;"> Our <a href="https://evam.com/customer-journey-orchestration" target="_blank">customer journey orchestration platform</a> page covers the full architecture, the capture, decide, and act model that underlies every journey <a href="https://evam.com/evamx" target="_blank">evamX</a> runs. For a closer look at what real orchestration looks like in practice, our piece on <a href="https://evam.com/blog/event-triggered-journeys-from-signup-to-renewal-in-real-time" target="_blank">customer journey orchestration from signup to renewal</a> walks through specific examples, and our piece on <a href="https://evam.com/blog/banking-journey-orchestration-real-time-use-cases" target="_blank">banking journey orchestration</a> covers what this looks like inside real banks running it today.<h2 class="">Where to Go Next</h2>The honest way to choose between these platforms isn't by comparing marketing pages. It's by asking how each one handles the specific decision that matters most in your business, and how fast it can actually make that decision when it counts.<a href="https://evam.com/product-demo-hub" target="_blank"><img src="https://cms.evam.com/Uploads/Content/abc95ed819834c38a1b07c3732690b8e.webp" style="width: 100%;"></a> If you want to see what real-time customer journey orchestration looks like against your own systems, our team is glad to walk through it with you. Reach out through our <a href="https://evam.com/request-demo" target="_blank">contact page</a> or explore the <a href="https://evam.com/product-demo-hub" target="_blank">Product Demo Hub</a> directly.

Table of Contents<ul><li>Why Every Platform in This Category Sounds the Same</li><li>What Actually Separates One Platform From Another</li><li>How the Major Platforms Compare</li><li>Where Evam Fits, and Where It Doesn't</li><li>Where to Go Next</li></ul>

Reading Time: 8 min,customer journey orchestration platforms,journey orchestration platform,customer journey orchestration software,journey orchestration tools,best journey orchestration platforms

Most Customer Journey Orchestration Platforms Were Built for a Different Customer Than Yours

July 30, 2026

Most customer journey orchestration platforms were built for retail campaign teams. Here's how the major options compare for banking, telecom, and other real-time-critical industries.

Best Next-Best-Action Software for Banking & Telecom

Next-best-action software has become a crowded category, and most of it was built for the same use case: a marketing team picking the next email or push notification to send from a fixed content calendar. That's a legitimate job. It is not the job banking and telecom actually need done.A bank deciding whether to intercept a large withdrawal with a retention offer, or a telecom operator deciding whether a data-cap warning should trigger an upgrade offer instead of a generic alert, needs a decision made in the time it takes a screen to load, evaluated against real eligibility rules, compliance constraints, and a live picture of that specific customer. Most platforms marketed as "next-best-action" software can recommend a segment-level message. Far fewer can make a compliant, explainable decision in real time and act on it across every channel a bank or telecom actually operates.<h2 class="">What Next-Best-Action Software Is Actually Supposed to Do</h2>Strip the category down to what it needs to do well, and three things matter more than any individual feature list.It has to decide in the moment, not on a schedule. A next-best-action engine that only refreshes its recommendation once a day is really a segmentation tool with a better name. The value of a next-best action comes from how closely it tracks what the customer is doing right now.It has to apply real business rules, not just a predictive score. In banking and telecom specifically, a recommendation has to respect eligibility, regulatory constraints, and suppression logic, not just rank offers by predicted click-through rate. A technically well-targeted offer that a customer isn't actually eligible for isn't a next best action. It's a compliance problem.It has to execute across every channel the customer might be in, not just the one the tool was built for. A next-best-action decision made for email doesn't help if the moment that matters happens on a call with the contact center, at an ATM, or inside a mobile app.<h2 class="">What to Look For, If You Work in Banking or Telecom</h2>Generic marketing platforms are usually evaluated on channel breadth and ease of use for marketing teams, reasonable criteria for a retail or media brand. Banking and telecom buyers need a different lens, because the stakes and constraints are different.Decisioning speed matters more than dashboard polish. Ask whether the platform evaluates and acts on a signal in milliseconds, or whether "real-time" actually means an hourly or daily refresh cycle labeled as real time.Industry-specific eligibility and compliance logic matters more than generic segmentation. A platform built primarily for retail and e-commerce often lacks native support for the eligibility, suppression, and regulatory rules banking and telecom require as a baseline, not an add-on.Deployment flexibility matters more than it does for a typical SaaS marketing tool. Banks in particular often need private cloud or on-premise deployment options for data residency and regulatory reasons that a pure multi-tenant SaaS platform can't always accommodate.Business-user autonomy matters for total cost of ownership. A platform that requires an engineering ticket for every new trigger or rule change costs far more over time than the license fee suggests, regardless of how sophisticated the underlying model is.<h2 class="">How the Major Platforms Compare</h2><table class="table table-bordered"><tbody><tr><td>Platform </td><td>Real-Time Decisioning </td><td>Banking &amp; Telecom Depth </td><td>Deployment Options </td><td>Business-User Control </td></tr><tr><td>Evam (evamX)</td><td>Sub-second, event-driven decisioning via the NBX engine </td><td>Purpose-built for banking, telecom, and retail, with native eligibility, suppression, and compliance logic </td><td>Cloud, private cloud, on-premise, and hybrid </td><td>Journey Designer and Evo AI let business teams build and adjust journeys without engineering tickets </td></tr><tr><td>Pegasystems </td><td>Strong decisioning heritage, historically built around case management and rules engines </td><td>Broad enterprise reach across financial services and telecom, often paired with wider BPM deployments </td><td>Hosted, private cloud, on-premise </td><td>Powerful but typically requires more technical configuration for complex rule changes </td></tr><tr><td>Salesforce </td><td>Decisioning capabilities layered on top of a CRM-first architecture </td><td>Broad horizontal reach across industries rather than banking or telecom-specific depth </td><td>Multitenant SaaS </td><td>Strong no-code tooling for marketers, though real-time decisioning depth varies by add-on module </td></tr><tr><td>Braze </td><td>Built for fast, cross-channel messaging with growing AI-driven decisioning features </td><td>Strong in retail, media, and app-first brands, less specialized in regulated banking and telecom compliance needs </td><td>Multitenant SaaS </td><td>Marketer-friendly, geared toward campaign and lifecycle messaging rather than deep eligibility logic </td></tr><tr><td>SAS </td><td>Deep analytics and decisioning heritage, historically stronger in batch and near-real-time scoring than sub-second execution </td><td>Long-standing presence in banking risk and analytics, less focused on omnichannel real-time engagement </td><td>Hosted, private cloud, on-premise </td><td>Powerful for data science teams, typically requires more specialized skills than a marketing-led setup</td></tr></tbody></table>This isn't a claim that any of these platforms are weak. Each is a credible, widely used vendor in its own right. The differences that matter are about fit: a platform built primarily for retail campaign management and a platform built for sub-second, compliant decisioning inside a bank's core systems are solving genuinely different problems, even when both get called "next-best-action software." For a deeper look at what next-best-action actually means as a concept before comparing vendors, our piece on <a href="https://evam.com/blog/next-best-action-engine" target="_blank">how AI decides the next best action in milliseconds</a> breaks down the four layers a real NBA system needs. Our piece on n<a href="https://evam.com/blog/next-best-action-marketing" target="_blank">ext-best-action marketing</a> covers the strategic side of putting this to work once you've picked a platform.<a href="https://share.hsforms.com/1mJnvJGHMSk-KNuIy8LR_xw347on" target="_blank"><img src="https://cms.evam.com/Uploads/Content/6d83a35a77334b679e3d4e348bb8eb02.webp" style="width: 100%;"></a> <h2 class="">Inside evamX: How a Decision Actually Gets Mad</h2><a href="https://evam.com/evamx" target="_blank">evamX</a> is built around three pillars that map directly to what banking and telecom actually need from a next-best-action engine: AI-powered decisioning, an ecosystem-ready platform that connects to existing core systems rather than replacing them, and business-owned orchestration that doesn't require an engineering team for every change.<img src="https://cms.evam.com/Uploads/Content/2ceb4aef2fad4896a2be0cec380fa1c7.webp" style="width: 100%;"> In practice, a decision moves through three stages. Capture pulls in streaming events from any source system, core banking, card transactions, CDRs, DPI, CRM, call center and IVR interactions, web and mobile apps, without duplicating data or waiting on a batch job. Decide is where the <a href="https://evam.com/products/nbx-decisioning" target="_blank">NBX engine</a> evaluates that event in context: real-time intent capture, contextual and behavioral decisioning, offer catalog matching, and suppression logic, all resolved in sub-second time. Act delivers the decision across whichever channel the customer is actually in, email, SMS, USSD, WhatsApp, Viber, in-app, push, IVR, or agent screen, so the same decision reaches the customer no matter where they show up next.A concrete version of this shows up constantly in telecom. A customer checks their data balance and sees they're close to their cap. NBX captures that moment in real time and evaluates it alongside recent usage patterns and eligibility, rather than waiting for a nightly batch job to flag the account. Instead of a generic low-data alert, NBX recommends a top-up bundle sized to that customer's actual usage pattern, delivered the moment the balance check happens, through the same app the customer is already looking at.<h2 class="">Where to Go Next</h2>The honest answer to "what's the best next-best-action software" depends on what you're deciding and how fast that decision needs to happen. If the moment that matters is a marketing email going out on a weekly cadence, several platforms on this list will serve you well. If the moment that matters is a declining balance, a failed payment, or a customer about to churn, and it needs a compliant, explainable decision inside milliseconds, that's specifically the problem evamX was built to solve.<a href="https://evam.com/product-demo-hub" target="_blank"><img src="https://cms.evam.com/Uploads/Content/6a361b69d5d4478495460df7fb63c6ac.webp" style="width: 100%;"></a>See real scenarios for your industry in the <a href="https://evam.com/product-demo-hub" target="_blank">Product Demo Hub</a>, or reach out through our <a href="https://evam.com/request-demo" target="_blank">contact page</a> to walk through what this would look like against your own systems.

Table of Content<ul><li>What Next-Best-Action Software Is Actually Supposed to Do</li><li>What to Look For, If You Work in Banking or Telecom</li><li>How the Major Platforms Compare</li><li>Inside evamX: How a Decision Actually Gets Made</li><li>Where to Go Next</li></ul>

Reading Time: 8 min,next-best-action software,real-time decisioning platform,customer engagement platform for banks,next best action engine,ai decisioning platform

Most Next-Best-Action Software Wasn't Built for Real Time

Most "Next-Best-Action" Software Guesses. Ours Decides in Milliseconds.

Most next-best-action software was built for generic marketing, not banking or telecom's real-time, compliance-heavy reality. Here's how the real options compare.

Building a Connected Modern Marketing Technology Stack for Success

Most marketing technology stacks look complete on paper. A <a href="https://evam.com/glossary/glossary-c/customer-data-platform-cdp" target="_blank">CDP</a> for data. A CRM for relationships. An email platform for campaigns. A push notification tool for mobile. An analytics suite for measurement. Each tool does its job well in isolation.The problem is what happens between the tools, not within them. A customer's behavior changes in the CRM, but the email platform doesn't know for another six hours. The push notification tool sends an offer the CDP would have suppressed if the two systems actually talked to each other in real time. The analytics suite reports on what happened last week, by which point three more campaigns have already gone out built on outdated assumptions.This is the defining failure mode of modern marketing technology stacks: not a lack of tools, but a lack of connection between them. And it is becoming more visible as customer expectations for relevance and timing continue to rise.<h2 class="">Why More Tools Has Stopped Meaning More Capability</h2>The martech landscape has expanded dramatically. Most enterprise marketing teams now manage a stack with a dozen or more distinct tools, each addressing a specific function: segmentation, content management, journey orchestration, predictive analytics, social engagement, SMS, push, email, in-app messaging.For years, the assumption was that adding capability meant adding tools. A new channel emerged, a new point solution was acquired to address it. The result, across much of the industry, is a stack that has grown wide but not necessarily strong: many specialized tools, each operating on its own data refresh cycle, its own customer profile, its own decisioning logic, stitched together by integrations that were built after the fact rather than designed in from the start. This architecture creates a specific and costly limitation. Each tool can only act on the data it has access to, refreshed at the interval its own pipeline allows. When a customer's situation changes, that change has to propagate through every connected tool before the stack as a whole reflects reality. In practice, this propagation rarely happens in real time. It happens in batches, on schedules, with lag measured in hours rather than seconds.The cost of this lag is not abstract. It is the offer that arrives after the customer has already churned. The campaign that ignores a service complaint logged twenty minutes earlier. The <a href="https://evam.com/glossary/glossary-p/personalization" target="_blank">personalization</a> that recommends a product the customer purchased that same morning through a different channel. Each of these is a stack failure, not a tool failure. The individual tools are working as designed. The architecture connecting them is not.<h2 class="">The Question That Actually Matters: What Holds the Stack Together</h2>Evaluating a marketing technology stack by counting its tools misses the question that determines whether the stack delivers results: what serves as the connective layer between them.A stack without a unifying architecture is a collection of point solutions, each with a partial view of the customer, acting on whatever data happened to reach it most recently. A stack with a genuine connective layer behaves differently. Every tool draws from the same live customer context. Every decision reflects what is happening now, not what happened at the last data sync. Every channel, regardless of which specific tool is executing the message, acts on the same understanding of the customer.This connective layer is built on three capabilities that most individual point solutions were never designed to provide.<img src="https://cms.evam.com/Uploads/Content/113273fc519c432780a55068dcfcb9a4.webp" style="width: 100%;"> The first is event streaming as the data foundation. Rather than each tool pulling data from a warehouse on its own schedule, a connected stack ingests behavioral, transactional, and operational events as they occur, from every source system, and makes them available to every connected tool simultaneously. No tool is working from a stale snapshot while another works from current data.The second is centralized real-time decisioning. In a fragmented stack, each tool makes its own decisions independently: the email platform decides what to send based on its own logic, the push tool decides separately, often without visibility into what the other has already done. A connected stack centralizes the decision: a single engine evaluates eligibility, suppression, and priority across the full customer context, and that decision is what every channel acts on. This is what prevents a customer from receiving the same offer twice through different channels, or receiving a promotional message while a service issue is actively being resolved.The third is unified execution across channels. Even with good decisioning, value is lost if the channels themselves do not share state. A connected stack ensures that when a customer responds on one channel, that response is reflected everywhere else immediately: a conversion closes the offer in every pending queue, a complaint pauses promotional activity across every channel, a preference update applies instantly rather than after the next scheduled sync.<h2 class="">Where Agentic AI Fits Into the Stack</h2>The newest layer being added to marketing technology stacks is agentic AI: systems that do not just analyze data or recommend actions, but autonomously execute multi-step marketing tasks with limited human intervention. This represents a meaningful shift from how AI has typically been used in martech. Earlier generations of AI in marketing stacks were primarily assistive: a model would score a lead, predict a churn risk, or recommend a next-best-offer, and a human would decide what to do with that information. Agentic AI extends this further: an AI agent can build a journey from a natural-language brief, generate and test content variants, monitor a campaign's performance in real time, and adjust targeting or messaging autonomously based on what is working, all without a human manually executing each step.The value of agentic AI in a stack is directly tied to the connective architecture beneath it. An AI agent operating on top of a fragmented stack can only act on the fragment of data the specific tool it lives in can see. An AI agent operating on top of a connected stack, with access to the full live customer context across every channel and system, can make decisions and take actions that reflect the complete picture. This is the difference between an AI agent that optimizes one channel in isolation and one that can genuinely orchestrate across the entire customer relationship.This is also where the limitations of a tool-by-tool approach to AI become most visible. Adding an AI feature to each individual point solution in a fragmented stack produces a set of AI agents that are each smart in isolation but blind to what the others are doing, replicating the same coordination problem that AI was meant to solve.<h2 class="">Why This Matters More in Regulated, Complex Environments</h2>The cost of stack fragmentation scales with the complexity of the environment it operates in. For a direct-to-consumer retail brand with a relatively contained set of systems, a loosely connected stack of best-of-breed tools may function adequately. For organizations operating in telecommunications, banking, and other regulated, infrastructure-heavy industries, the stakes are considerably higher.In these environments, the customer touchpoints a marketing stack needs to connect to extend well beyond typical martech: core banking or billing systems, card and account platforms, ATM and branch networks, IVR and call center infrastructure, legacy systems that were never designed for real-time integration. A marketing stack that only connects to modern, API-first systems leaves out a substantial portion of where customer interactions actually happen. This is also where the question of deployment flexibility becomes material. Many enterprise marketing teams in regulated sectors cannot simply route customer data through a third-party cloud platform without significant compliance review. A stack that only operates as a fully managed SaaS product, with no option for private cloud, on-premise, or hybrid deployment, is a stack that many regulated organizations cannot fully adopt regardless of its technical capabilities.The organizations succeeding with marketing technology in these environments are not the ones with the most tools. They are the ones whose stack architecture was designed from the start to connect to complex, legacy-heavy infrastructure without requiring that infrastructure to be replaced first.<h2 class="">What to Evaluate When Assessing a Marketing Technology Stack</h2>For marketing and technology leaders reviewing their current stack or evaluating new investments, a useful framework is to ask not what each tool does, but how the tools relate to each other.Does data flow between systems in real time, or does it move on batch schedules that introduce hours of lag between an event and the stack's awareness of it? Is decisioning centralized, with a single source of truth for eligibility and priority, or does each tool make independent decisions that can conflict? Does a customer action on one channel immediately affect what happens on every other channel, or does that propagation take time? Can AI agents operating within the stack access the full customer context, or are they confined to whatever data the specific tool they live in happens to have?And for organizations in regulated or infrastructure-heavy industries: does the stack connect natively to core systems, legacy infrastructure, and offline touchpoints, or does it assume a green-field, cloud-native environment that does not reflect the reality of the organization's technology landscape?These questions matter more than any individual feature comparison. A stack with fewer tools but a genuinely connected architecture will consistently outperform a stack with more tools and no connective layer between them.<h2 class="">evamX: The Connective Layer for the Marketing Stack</h2><a href="https://evam.com/evamx" target="_blank">evamX</a> is built as the connective architecture a modern marketing technology stack requires, not as another point solution to add to an already fragmented set of tools.At its foundation is event-based streaming that ingests live data from message brokers, APIs, mobile and web SDKs, and legacy system connectors, enabling sub-second decisioning the moment something happens anywhere in the <a href="https://evam.com/products/journey-designer" target="_blank">customer journey</a>. This includes native connectivity to core banking and telecom systems, CRM, card platforms, legacy infrastructure, and third-party data sources, without requiring data migration or custom ETL pipelines.The platform centralizes decisioning through the <a href="https://evam.com/products/nbx-decisioning" target="_blank">NBX engine</a>, evaluating eligibility, suppression, and priority across the full customer context in milliseconds, so every channel acts on the same decision rather than operating independently. Evo AI, evamX's purpose-built AI layer for marketers, includes agentic capabilities such as the Maker Agent for journey creation and the Creator Agent for content generation, each with access to the complete connected customer context rather than a fragment of it.evamX deploys on cloud, private cloud, on-premise, or hybrid infrastructure, built specifically for the compliance and integration requirements of regulated, infrastructure-heavy environments like telecommunications and banking.<a href="https://evam.com/request-demo" target="_blank"><img src="https://cms.evam.com/Uploads/Content/4fad00656677421b8c563b5844a1af43.webp" style="width: 100%;"></a>

Table of Content<ul><li>Why More Tools Has Stopped Meaning More Capability</li><li>The Question That Actually Matters: What Holds the Stack Together</li><li>Where Agentic AI Fits Into the Stack</li><li>Why This Matters More in Regulated, Complex Environments</li><li>What to Evaluate When Assessing a Marketing Technology Stack</li><li>evamX: The Connective Layer for the Marketing Stack </li></ul>

Reading Time: 7 min,marketing technology stack,ai marketing agents,agentic ai marketing,telecom marketing platform,enterprise marketing platform,martech integration

What Belongs in a Modern Marketing Technology Stack

June 30, 2026

Most marketing technology stacks are a collection of disconnected tools. Learn what actually separates a connected, real-time stack from one that just looks complete.

Salesforce CRM Integration with Evam | Real-Time Decisioning

It's one of the first questions we hear in almost every enterprise sales conversation: "Does Evam integrate with Salesforce?" The short answer: yes.<img src="https://cms.evam.com/Uploads/Content/afa3e7f102364dcb9400fcc72f5cab31.webp" style="width: 100%;"> The longer answer — and the more important one — is this: Evam was architected from day one around the assumption that your technology stack already exists, already works, and already holds years of valuable customer data. Our job isn't to replace it. Our job is to finally make it act in real time.This post breaks down exactly how Evam connects to Salesforce and the broader enterprise ecosystem — event brokers, databases, CDPs, core banking systems, telecom BSS/OSS, e-commerce platforms, loyalty engines, and beyond. No jargon. No hand-waving. Just a clear explanation of how integration works and why it matters for your business.<h2 class="">The Real Problem Isn't Integration. It's Activation.</h2>Most enterprise organizations don't have a data problem. They have an activation problem.Salesforce holds your CRM records — customer history, account attributes, service interactions. Your data warehouse holds transactional history and behavioral segments. Your core banking system streams every deposit, loan repayment, and card swipe in real time. Your CDP holds unified customer profiles built from dozens of sources.<img src="https://cms.evam.com/Uploads/Content/9f896853a8c849708c39d3bbcf8b93c6.webp" style="width: 100%;"> None of these systems, on their own, can take that data and do something with it at the exact moment a customer is engaging — logging into their mobile app, completing a transaction, triggering a churn signal, or responding to an offer.That's the gap Evam closes.Evam connects to your existing data infrastructure and transforms it into a real-time decision engine — without moving your data, duplicating it, or requiring custom ETL pipelines.The result: every customer signal your systems already capture finally gets used at the moment it matters.<h2 class="">Evam + Salesforce: Turning CRM Records Into Real-Time Moments</h2>Salesforce is one of the most widely deployed CRM platforms in the enterprise world, and it's typically one of the richest sources of customer relationship data in any organization. But by design, CRM systems are record-keeping platforms — they capture what happened. They're not built to act on what's happening right now.Evam integrates with Salesforce to bridge that gap. Here's what that looks like in practice:<h2 class="">What Evam Reads from Salesforce</h2>Customer account attributes and lifecycle stageContact history and service interaction recordsOpportunity and product ownership data Custom objects and segmentation fields your team has builtLead scoring and qualification flags<h2 class="">What Evam Does with That Data</h2>Enriches real-time event context — so when a customer triggers an event in your mobile app, Evam knows their full CRM profile immediatelyPowers eligibility and suppression logic — CRM-defined segments and product ownership inform which offers a customer can or cannot receiveFeeds decisioning rules — value tier, tenure, engagement history all become live inputs into Evam's Next Best Experience engineWrites back outcomes — engagement results, campaign responses, and journey completions can be surfaced back into Salesforce records<h2 class="">Example: Upsell at the Moment of Intent</h2>A retail banking customer logs into mobile banking after receiving their salary. Evam captures the salary credit event from core banking in real time, enriches it with their Salesforce CRM profile (product gap: no savings product), applies NBX decisioning, and delivers a personalized savings offer inside the mobile app within milliseconds — before the customer has navigated away from the dashboard. No batch run. No next-day campaign. Real time.<img src="https://cms.evam.com/Uploads/Content/866f2a487dbe4566b16ac05baf28016e.webp" style="width: 100%;"> <h2 class="">How Evam Connects to Any Enterprise System</h2>Salesforce is one integration point. The architecture that supports it supports your entire stack. Evam is built on a zero-copy, event-driven integration model — meaning your data stays in your systems, and Evam operates on live streams and on-demand queries rather than duplicated datasets.There are three primary integration patterns Evam uses:<h3 class="">1. Event-Based Streaming (Real-Time)</h3>Evam ingests live event streams from message brokers and REST APIs, enabling sub-second decisioning the moment something happens — in core banking, in your mobile app, or anywhere along the customer journey.Kafka / Kinesis / RabbitMQ — high-throughput message queuesHTTP / HTTPS Listener — RESTful API push endpointsSOAP Listener — legacy web services (common in telecom and banking)ActiveMQ / Pub-Sub — message bus patternsMobile &amp; Web SDK — in-app and browser event streams<h3 class="">2. Database &amp; Storage Connectors (Enrichment &amp; Segmentation)</h3>Evam pulls structured data for profile enrichment, segmentation, and eligibility checks from any relational, columnar, or cloud data store — on-premise or cloud-native.Microsoft SQL Server, Oracle, PostgreSQL, Vertica, MySQL / Sybase DB, Cassandra, Teradata, Amazon RDS<h3 class="">3. File &amp; Batch Transfer (Historical Data)</h3>For systems that don't expose real-time APIs, Evam supports scheduled data ingestion — bringing in historical segments, model scores, and batch-processed attributes that enrich real-time decisions.SFTP / FTP file ingestion, Scheduled database exports, CSV / JSON / XML batch imports<h2 class="">The Full Enterprise Ecosystem Evam Works With</h2><table class="table table-bordered"><tbody><tr><td>System Type </td><td>Examples </td><td>What It Enables in Evam </td></tr><tr><td>CRM </td><td>Salesforce, Microsoft Dynamics, custom CRM </td><td>Customer profile enrichment, product ownership, lifecycle stage, suppression </td></tr><tr><td>Core Banking System </td><td>Temenos, Finastra, Oracle FLEXCUBE, Misys </td><td>Real-time transaction events, account balance triggers, loan lifecycle signals </td></tr><tr><td>CDP </td><td>Segment, Tealium, mParticle, Adobe Experience Platform </td><td>Unified customer profiles, behavioral segments, identity resolution </td></tr><tr><td>Data Warehouse </td><td>Snowflake, Redshift, BigQuery, Teradata, Vertica </td><td>Historical segments, ML model scores, batch enrichment attributes </td></tr><tr><td>Telecom BSS/OSS </td><td>Amdocs, Comverse, Netcracker </td><td>Subscriber events, usage triggers, plan expiry, roaming signals </td></tr><tr><td>Loyalty &amp; Rewards </td><td>Custom loyalty engines, points platforms </td><td>Tier status, reward balance, points expiry triggers for real-time offers </td></tr><tr><td>E-commerce Platform </td><td>Shopify, Magento, custom platforms </td><td>Browse events, cart abandonment, purchase history, product affinity </td></tr><tr><td>Mobile Banking / App </td><td>Custom iOS/Android apps via SDK </td><td>In-app behavior, screen visits, session depth, feature engagement </td></tr><tr><td>Messaging Providers </td><td>Twilio, Sinch, Vonage, Firebase, APNs </td><td>SMS, push notification, WhatsApp delivery and engagement tracking </td></tr><tr><td>Marketing Automation </td><td>Braze, HubSpot, Adobe Campaign </td><td>Cross-platform journey handoffs, suppression sync, audience sharing </td></tr><tr><td>Call Center / IVR </td><td>Genesys, Avaya, Cisco, custom IVR </td><td>Inbound call triggers, complaint events, agent screen decisioning </td></tr><tr><td>ATM / Kiosk / POS </td><td>NCR, Diebold, custom terminal networks </td><td>Physical touchpoint events for real-time in-session personalization </td></tr></tbody></table><h3 class="">Zero-Copy Architecture: Why It Matters for Enterprise IT</h3>Integration projects fail in enterprises for a predictable reason: they require data to move. Data migration, duplication, and transformation create compliance risk, latency, maintenance overhead, and political friction between IT and business teams.Evam's zero-copy architecture eliminates this entirely.Your data never leaves your environment — Evam subscribes to events and queries data stores on demand, but no data is replicated into a separate Evam-managed layerNo custom ETL pipelines — Evam's native connectors handle transformation at the edge, without requiring a dedicated data engineering buildNo middleware required — Evam operates directly on your event brokers (Kafka, Kinesis, etc.) and databases (Oracle, SQL Server, Teradata, etc.)Deployment flexibility — on-premise, private cloud, public cloud, or hybrid. Evam fits around your IT governance model, not the other way around<h3 class="">Security &amp; Compliance Note</h3>Evam is ISO 27001 and ISO 27034 certified. All data in transit is encrypted via TLS 1.2/1.3, with mTLS for internal service-to-service communication. PII fields are encrypted at rest with AES-256. For regulated industries (banking, telecom), Evam supports fully on-premise deployment with no external data dependencies. For full security documentation, visit trust.evam.com.<h2 class="">The Business Value of an Integrated Stack</h2>Technical architecture is only half the story. The reason organizations invest in integration is outcomes. Here's what a fully connected Evam deployment delivers:<h3 class="">Faster Time-to-Value</h3>Because Evam works with your existing systems rather than requiring data migration, implementation timelines are measured in weeks, not quarters. Your CRM data, your customer profiles, your transaction feeds — all immediately available as inputs to real-time decisioning from day one.<h3 class="">Higher ROI on Existing Technology Investments</h3>Salesforce didn't become valuable because it stored data. It became valuable because it organised it. Evam makes that data productive in real time — so your Salesforce investment, your CDP investment, your data warehouse investment all compound rather than sit in silos.<h3 class="">Real Personalisation at Scale</h3>Personalisation at scale requires three things: rich customer data, real-time signals, and the ability to decide and act in milliseconds. Integration is what connects all three. When Evam has access to your full data ecosystem — CRM attributes, transaction history, behavioral signals, loyalty tier — every decision becomes genuinely contextual, not just segmented.<h3 class="">Reduced Operational Complexity</h3>A single platform that connects to your entire stack means fewer point-to-point integrations to maintain, fewer data quality issues from duplicated datasets, and fewer handoff failures between systems. One event. One decision. One orchestration layer.<h2 class="">How Integration Works in Practice: What to Expect</h2>For prospects evaluating Evam, integration is typically the first technical question and the last blocker. Here's what a standard integration process looks like:Discovery workshop (1-2 days): Evam's integration team maps your existing data sources, event brokers, and system architecture. We identify which connectors apply and what event schemas need to be defined.Connector configuration (1-3 weeks): Native connectors are configured to your Salesforce instance, core banking system, event brokers, and data stores. No custom development required for standard integrations.Event schema definition (1-2 weeks): Business and technical teams align on which events to capture, what attributes they carry, and how they map to decisioning rules. Evam's event catalog accelerates this process.Go-live and hypercare (30 days): Dedicated engineering support post go-live, with SLA-backed incident response (P1: 30-minute response, 4-hour resolution).<h2 class="">The Bottom Line</h2>Enterprise software should never operate in isolation. The value of any platform — Salesforce, Evam, or anything else — is multiplied when it works with the systems around it.Evam was built to be the decisioning and orchestration layer on top of your existing data investments. Whether your customer data lives in Salesforce, a core banking system, a CDP, a data warehouse, a telecom BSS/OSS, or all of the above — Evam can connect to it, activate it, and turn it into real-time customer experiences.You don't need to replace your technology to create better customer experiences. You need to make the technology you already have act in real time.That's what Evam does.<a href="https://evam.com/request-demo" target="_blank"><img src="https://cms.evam.com/Uploads/Content/2b9c0405f15142ce80e8c9e5a54438f7.webp" style="width: 100%;"></a>

Table of Content<ul><li>The Real Problem Isn't Integration. It's Activation.</li><li>Evam + Salesforce: Turning CRM Records Into Real-Time Moments</li><li>What Evam Reads from Salesforce</li><li>What Evam Does with That Data</li><li>Example: Upsell at the Moment of Intent</li><li>How Evam Connects to Any Enterprise System</li><li>The Full Enterprise Ecosystem Evam Works With</li><li>The Business Value of an Integrated Stack</li><li>How Integration Works in Practice: What to Expect</li><li>The Bottom Line </li></ul>

Reading Time: 10 min,salesforce-crm-integration,enterprise-system-integration,enterprise-data-integration,real-time-decisioning,zero-copy-architecture,event-driven-integration,core-banking-integration,cdp-integration,customer-data-activation,omnichannel-customer-engagement

Salesforce CRM Integration: How Evam Turns CRM Data Into Real-Time Action

June 29, 2026

Does Evam Integrate With Salesforce? Yes. And That's Just the Beginning.

Evam integrates with Salesforce to turn CRM records into real-time customer moments. Zero-copy architecture, no data migration, no custom ETL. See how it works.

Real-Time Decisioning Guide: NBO, NBA & NBX Explained

Most organisations have never known more about their customers. And yet customers consistently feel unseen, served the wrong offer, on the wrong channel, at the moment they've already moved past.The problem isn't data. It's the gap between what a business knows and what actually reaches the customer at the moment they appear. This guide is written for the leaders responsible for closing that gap, CMOs, Heads of CX and Digital, CVM Directors, and Banking and Telecom Executives, who are asking why engagement investment isn't translating into commercial results.It introduces real-time inbound decisioning: what it actually is, why it's architecturally different from what most organisations already have, and how to start building it.<h2 class="">What You'll Learn</h2>1. Why data-rich organisations are still decision-poor, and what that costs2. The real difference between next best offer, next best action, and next best experience, and why getting this wrong caps your ambition3. The four principles that govern every real-time decision4. How a single request passes through four gates, eligibility, suppression, priority, delivery, in the customer's attention window5. What cross-channel coordination actually requires: shared memory, shared context, shared logic6. Real use cases in banking, including the Credit Limit Moment and the Service-First Moment7. Real use cases in telecom and ecosystem operators, including six ecosystem journeys and the Silent Churn Prevention case8. A maturity model and a five-question diagnostic to see where your own organisation stands<h2 class="">Why This Matters Right Now</h2>Every repeated, irrelevant offer isn't a neutral event. It's a withdrawal from the trust account, and in financial services and telecom, trust accounts are difficult to rebuild.Most engagement architectures were built channel by channel, mobile app, ATM, website, call centre, each with its own logic, its own data, its own rules. No channel knows what any other has done. That's why a customer can decline an offer at the ATM and see the identical offer on mobile four minutes later.Organisations running unified, real-time decisioning see the difference in the numbers: 3 to 5x higher cross-sell conversion uplift, 30 to 40 percent lower churn in multi-service households, and 2 to 4x higher margin contribution from customers who are engaged across more than one product.The gap isn't more technology. It's a governed decisioning layer that turns every inbound moment into a decision, instead of a missed one.<h2 class="">What's Inside the Guide</h2>1. The Problem: Data-Rich, Decision-Poor. Why more data hasn't meant better decisions, and where most enterprises actually sit on the signal-richness-versus-signal-utilisation matrix.2. The Framework: NBO, NBA, NBX. The real definition of next best offer, next best action, and next best experience, what NBX is not, and the four principles that govern every decision: every decision is individual, context is not history, suppression is respect, and business judgment, not algorithmic mystery.3. How It Works: From Signal to Action in Milliseconds. The four-gate pipeline, eligibility, suppression, priority, delivery, and what true cross-channel coordination requires: shared memory, shared context, and shared logic.4. Proof: Real Use Cases in Banking. A day in the life of one customer across five inbound moments, plus two moments that define the relationship: the Credit Limit Moment, where the signal says yes, and the Service-First Moment, where the best decision is sometimes not commercial at all.5. Proof: Real Use Cases in Telecom and Ecosystem Operators. Six ecosystem journeys from signal to outcome, wallet activation, unified inbound offers, spend-triggered offers, silent churn prevention, convergence and family bundles, and gaming bundles, plus the full Silent Churn Prevention case.6. Why Context Beats History. The difference between data that tells you who a customer has been and decision-moment attributes that tell you what's happening right now, and where AI actually fits in that pipeline.7. Where Most Decisioning Programmes Fail. A four-stage maturity model, the five traps that kill decisioning programmes, over-scoping, data completeness, IT dependency, wrong metrics, and channel-first thinking, and a five-question diagnostic to test whether your own architecture is genuinely unified.<h2 class="">Ready to turn ecosystem signals into growth?</h2>Download the guide and see what real-time inbound decisioning looks like in practice, and how leading operators like Turkcell, Vodafone, Jazz, tbi bank, Onic, and Moldcell are already running it.

<ul><li>What You'll Learn</li><li>Why This Matters Right Now</li><li>What's Inside the Guide </li>
</ul>

Cross-Industry,evamX,NBX Decisioning,Real-Time Decisioning,NBO NBA NBX,Decision Intelligence,Banking & Telecom Decisioning

Why Real-Time Decisioning Is Now Business-Critical for Enterprises

August 19, 2026

Why real-time decisioning is now business-critical for enterprises. A practical guide to NBO vs NBA vs NBX, the four-gate pipeline, and real use cases in banking and telecom.

Telco CVM 2026: AI-Driven Ecosystem Monetization Guide

The next growth era for telecom will not come from selling a better plan. Operators that win in 2026 will be those who orchestrate every customer moment across wallets, content, smart home, fintech, and partner ecosystems, in real time, driven by AI, and measured beyond ARPU.This guide unpacks the shift from campaign execution to ecosystem value orchestration. You'll learn why traditional CVM models are no longer sufficient, how AI-driven decisioning unlocks six revenue pools from a single base, and how leading operators are activating real-time journeys that compound customer lifetime value across every touchpoint.Download the guide to see what the new telco CVM operating model looks like in practice and how your team can move fast.<h2 class="">What You'll Learn </h2>1. Why connectivity-centric CVM is leaving revenue on the table2. How ecosystem growth changes telecom economics and KPI ownership3. The three structural shifts making modern CVM urgent in 20264. How AI-powered next-best-action decisioning replaces static segmentation5. Six ready-to-activate ecosystem journeys with real business outcomes6. The metrics modern CVM teams should track beyond single-product conversion7. A 90-day playbook to operationalize ecosystem CVM with speed and focus8. How operators like Vodafone, Turkcell, and T-Mobile are growing multi-service revenue<h2 class="">Why This Matters in Telco Right Now </h2>Telcos are sitting on more customer data than ever yet most CVM teams are still running monthly batch campaigns against static segments.The problem isn't data. It's orchestration.Customers anchored across multiple services generate 2–4x higher margin contributionMulti-service households show 30–40% lower churn than single-product subscribersAI-driven real-time journeys deliver 3–5x cross-sell conversion upliftYet most operators still measure CVM success on a single-product conversion metricThe operators pulling ahead aren't launching new products. They're connecting the products they already have using real-time signals, AI decisioning, and coordinated journeys to move each customer toward higher ecosystem value. This is not a new tool. It's a new operating model.<h2 class="">What's Inside the Guide </h2>1. The Strategic Shift: From Tariff Optimization to Ecosystem Monetization: Why the connectivity-centric growth model has reached its ceiling, and what replaces it. A full breakdown of how the business model, decisioning model, and operating model must evolve together.2. The Underlying Forces Making This Shift Urgent: Three structural changes, more interactions, more intent signals, more value moments and the measurable business impact each one creates for CVM teams.3. One Intelligence Layer Across the Business:&nbsp;How the modern operator unifies connectivity, wallet, entertainment, home IoT, and partner signals into a single AI decisioning layer and why fragmented data is the root cause of missed revenue.4. Real-Time Execution: The Millisecond That Moves KPIs:&nbsp;How a single customer signal triggers a personalized bundle, lifts ARPU, and drops churn risk all in real time.5. Six Ecosystem Journeys Operators Can Activate Today:&nbsp;Wallet activation, unified inbound offers, spend-triggered cross-sell, convergence and family bundles, silent churn prevention, and persona-driven gaming monetization, each with triggers, decisions, and measurable outcomes.6. The Metrics Modern CVM Teams Actually Track:&nbsp;Why single-product KPIs measure the old game. The five ecosystem metrics that define the new one: penetration, engagement, ecosystem ARPU, retention depth, and journey velocity.7. The 90-Day Ecosystem CVM Playbook:&nbsp;A structured roadmap to identify the right journeys, launch pilots with measurable KPIs, and scale what proves value, one proven journey at a time.Ready to move beyond campaign execution?Download the guide and see how leading operators are building real-time ecosystem CVM today.

<ul><li>What You'll Learn</li><li>Why This Matters in Telco Right Now</li><li>What's Inside the Guide </li>
</ul>

Telecommunication,evamX,Telecom CVM 2026,AI-Driven CVM,Ecosystem Monetization Telecom,Customer Value Management Telecom

June 2, 2026

Winning Customer Value in the Multi-Business Ecosystem

Discover how telcos grow ARPU, reduce churn and unlock 6 ecosystem revenue streams with AI-driven CVM. Download the 2026 industry guide by Evam.

Telco Privacy Paradox Guide | Personalization & Trust

Personalization is the most powerful growth lever in telecom. But it comes with a tension every CVM and marketing leader knows too well.Customers want experiences tailored to their needs, yet 81% feel they have no real control over how their data is collected and used. This is the privacy paradox. And for telecom operators sitting on some of the richest behavioral data in any industry, getting this balance wrong has real consequences: eroded trust, regulatory exposure, and churn that no campaign can reverse.This guide provides a practical framework for delivering hyper-personalized, real-time customer engagement, without compromising privacy or customer trust.Download the guide to learn how leading telecom operators are turning data into deeper relationships, not just targeted offers.<h2 class="">What You'll Learn</h2>1. What the privacy paradox is and why it's uniquely critical in telecom2. How shifting consumer expectations are raising the bar for data transparency3. The three building blocks of the Telecom Trust Framework: transparency, consent, and security4. How to operationalize trust across every customer interaction — not just in policy documents5. Practical strategies for personalizing experiences without invasive data practices6. How AI and machine learning enable predictive personalization within privacy limits7. Why context is the most underused tool in avoiding the perception of surveillance8. How journey mapping delivers personalized experiences for both anonymous and identified customers9. The role of real-time engagement platforms in unifying data without compromising integrity10. How Evam's end-to-end platform helps telecom leaders master this balance at scale<h2 class="">Why This Matter in Telco Right Now</h2>Telecom companies hold more customer data than almost any other industry, location, usage, transactions, device behavior, and more.That depth of data is a competitive advantage. But it is also a responsibility that customers are increasingly aware of.81% of customers feel a lack of control over how companies collect and use their data80% are more loyal to brands that deliver a positive data-gathering experience82% would willingly share personal data but only for a genuinely better experienceThe gap between what's technically possible and what customers will actually trust is where most personalization strategies fail.Telecom operators that close this gap, through transparent consent models, privacy-first technology, and context-aware engagement, don't just avoid risk. They build the kind of customer relationships that are genuinely hard to displace.Personalization should feel like a service, not surveillance.<h2 class="">What's Inside The Guide</h2>1. Understanding the Privacy Paradox:&nbsp;The dual challenge facing every telecom operator: customers demand tailored experiences while growing increasingly sensitive about how their data is used. Where the tension lives — and why it cannot be ignored.2. Consumer Expectations and Digital Awareness:&nbsp;How today's customers have shifted from passive data subjects to active participants who expect control, transparency, and genuine value in exchange for their data.3. The Telecom Trust Framework:&nbsp;A comprehensive strategy built on three pillars, transparency, consent, and security, designed to balance personalization with privacy standards and cement long-term customer loyalty.4. Operationalizing Trust:&nbsp;How to embed trust into every customer interaction through customer education, privacy-by-design principles, two-way dialogue, and measurable KPIs that go beyond compliance.5. Personalizing Without Compromising Privacy:&nbsp;Practical strategies including subtle personalization, anonymized data techniques, opt-in culture design, predictive analytics, and context-aware engagement that feels helpful rather than intrusive.6. Tech &amp; Trust Synergy:&nbsp;How real-time engagement platforms, unified customer data layers, privacy-first technologies, and AI-driven decisioning enable deep personalization without exposing sensitive data.7. Mastering Engagement with Evam:&nbsp;How Evam's end-to-end platform, including the Marketing Module, Digital Studio, and Survey Manager, equips telecom leaders with the tools to deliver real-time, privacy-respecting customer journeys at scale.

<ul><li>What You'll Learn</li><li>Why This Matter in Telco Right Now</li><li>What's Inside The Guide </li>
</ul>

Telecommunication,Privacy Paradox,Personalization,Customer Engagement,Customer Experience

August 26, 2024

The Privacy Paradox is reshaping telecom customer engagement.

Learn how telcos balance personalization with privacy using real-time engagement, trust frameworks, and privacy-first strategies. Download the guide.

Decisioning 2.0 Guide for Banks | Real-Time AI & Analytics

The banking industry is no longer deciding between digital transformation and the status quo. That decision has already been made by customers, by challengers, and by the market.The real question now is whether your bank is making decisions fast enough, smart enough, and personally enough to stay relevant.This guide introduces Decisioning 2.0, a fundamental shift from reactive, segment-based marketing to proactive, AI-driven customer intelligence. You'll learn how leading banks are using real-time data, predictive analytics, and machine learning to anticipate customer needs, reduce risk, and deliver personalized experiences at scale.Download the guide to understand what modern decisioning looks like in practice and how your bank can move from broad strokes to precision.<h2 class="">What You'll Learn</h2>1. Why the banking landscape is being disrupted and what it means for customer loyalty2. The shift from Decisioning 1.0 to Decisioning 2.0 and why the difference is strategic, not just technological3. How data-driven strategies are replacing intuition-based decision-making across every banking domain4. How predictive analytics enables banks to anticipate customer needs before customers themselves realize them5. The transformative impact of AI decisioning across marketing, risk management, fraud prevention, and product development6. The measurable business benefits of AI-driven decisioning, from faster loan processing to significant reductions in credit losses7. The five most common barriers to banking innovation and how to overcome each one8. How to build a real-time marketing and decisioning capability without disrupting existing operations<h2 class="">Why This Matters in Banking Right Now</h2>Traditional banks are no longer just competing with each other. They are competing with agile fintechs, digital-first challengers, and tech platforms that have built customer loyalty through hyper-personalization from day one.The gap is growing and it shows in the numbers:- 60% of customers say personalized experiences lead them to repeat purchases- Companies focused on improving customer experience saw 17% annual revenue growth- Highly satisfied customers are 2.5x more likely to open new accounts with their existing bank- The global predictive analytics in banking market is projected to reach $5.43 billion by 2026Yet most banks are still sending the same credit card offer to every customer. Still running campaigns built on static segments. Still reacting to churn instead of preventing it. Decisioning 2.0 changes this. Not by adding another tool but by transforming how every customer decision gets made, across every channel, in real time.<h2 class="">What's Inside The Guide</h2>1. The Floating Landscape of the Banking Revolution: How agile challengers are disrupting traditional banking, why customer loyalty has become the ultimate competitive prize, and what legacy institutions must do to stay in the race.2. A Deep Understanding of Decisioning: What decisioning actually means in a modern banking context and the critical difference between Decisioning 1.0 (reactive, segment-based) and Decisioning 2.0 (proactive, AI-powered, hyper-personalized).3. Data-Driven Strategies: The Heart of Decisioning: How banks are aggregating data across transactions, service records, and behavioral signals to make smarter, faster, and more customer-centric decisions with a real-world example of how one regional bank transformed its credit card strategy.4. Predictive Analytics for Proactive Decisioning:&nbsp;How predictive models identify cross-sell and upsell opportunities, forecast churn risk, and allow banks to act before a customer even recognizes their own need.5. The Transformative Impact Across Banking Domains: How AI decisioning reshapes five critical areas: marketing strategy, risk management, fraud prevention, customer insight generation, and agile product development.6. The Benefits of AI-Driven Decisioning: A practical breakdown of nine measurable outcomes, from faster loan processing and reduced credit losses to improved customer targeting and higher employee productivity.7. Overcoming Barriers to Innovation:&nbsp;The five most common roadblocks, data silos, legacy systems, privacy compliance, cultural resistance, and technology pace and how forward-thinking banks are navigating each one.8. Real-Time Marketing &amp; Decisioning with Evam:&nbsp;How Evam's platform brings real-time data processing, AI-driven insights, and cross-channel engagement together in one integration-ready hub, built for banks that are serious about the next era of customer relationships.

<ul><li>What You'll Learn</li><li>Why This Matters for Modern Banks</li><li>Why This Matters in Banking Right Now</li><li>What's Inside The Guide </li>
</ul>

Banking,Decisioning in Banking,Real-Time Decisioning,AI Decisioning for Banks,Personalization,Customer Engagement

December 20, 2023

The Big Bank Theory of Decisioning 

Discover how banks use real-time decisioning, AI, and predictive analytics to improve personalization, reduce risk, and boost revenue. Download the guide.

Telco Customer Engagement Guide | Real-Time Personalization

Boosting ARPU in a saturated telco market is one of the hardest problems in the industry. Markets are full. Prices are under pressure. Traditional voice and SMS revenue is declining. And customers have never been easier to lose or harder to win back.The answer isn't another campaign. It's a fundamentally different approach to customer engagement.This guide explores the real challenges holding telcos back from profitability, unpacks the shift from mass marketing to real-time, customer-centric interaction management, and shows how hyper-personalization powered by RTIM and CVM transforms engagement and revenue, at scale.Download the guide to learn how top telcos decode customer engagement and deliver value in the moments that matter most.<h2 class="">What You'll Learn</h2>1. Why boosting profitability and ARPU is so difficult in today's telco market2. The five structural challenges holding telcos back from revenue growth3. Practical profit-boosting strategies from bridging legacy systems to diversifying revenue streams4. What today's customers actually expect and why one poor experience drives 82% to consider alternatives5. Why the shift from segment-of-masses to segment-of-one is now a commercial necessity6. How RTIM (Real-Time Interaction Management) enables hyper-personalization at scale7. How CVM maximizes value across every stage of the customer lifecycle8. What it takes to create ultimate customer experiences in real time9. The six platform capabilities every telco martech stack must have10. Real-world use case: How Turkcell doubled its next-best-offer acceptance rate<h2 class="">Why This Matters in Telecom Right Now</h2>Most telcos are sitting on enormous amounts of customer data. Yet that data is trapped in silos, processed in batches, and turned into campaigns that reach the wrong customer at the wrong time with the wrong offer.The cost of getting this wrong is significant:- Customer churn costs the telco industry up to $65 million every month- Only 5% of telco companies are unlocking the full potential of personalization- Telcos that excel at personalization generate 40% more revenue than competitors- Hyper-personalized experiences increase engagement by 20–30%- Event-triggered offers are 5x more effective than non-personalized campaigns- Analytics-driven base management can reduce churn by 15%The gap between what's technically possible and what most telcos are actually doing is where revenue is being lost every single day.Real-Time Interaction Management closes that gap, by turning customer signals into relevant, timely actions across every channel, every touchpoint, and every moment in the customer journey.<h2 class="">What's Inside The Guide</h2>1. Understanding the Telco Landscape: Why Boosting Profitability and ARPU is Challenging:&nbsp;A clear-eyed look at the five forces making growth difficult: market saturation, price wars, traditional service substitution, infrastructure costs, and the shift in consumer behavior toward digital.2. Profit-Boosting Strategies for Telcos: Four practical paths forward, bridging legacy systems with next-gen technology, enhancing customer experience, embracing digital transformation, and diversifying into new revenue streams like IoT, cloud, and smart home.3. Emerging Customer Expectations:&nbsp;Why the modern telco customer expects seamless, personalized, real-time experiences and how the transition from batch marketing to event-driven, customer-centric journeys makes the difference.4. Why Unlocking the Full Potential of Personalization is Crucial: The business case for personalization in telco, with hard numbers on churn cost, revenue upside, and the competitive gap between operators who personalize and those who don't.5. Leveraging CVM to Maximize Engagement&nbsp;How Customer Value Management maximizes lifetime value from acquisition through cross-sell to retention and why RTIM is the engine that makes CVM work at scale.6. How to Create Ultimate Experiences in Real-Time:&nbsp;Three real-world engagement scenarios: roaming package upsell triggered at the airport, prepaid top-up cross-sell with next-best-offer logic, and proactive churn prevention through outbound care, each with measurable revenue outcomes.7. Capabilities You Need to Keep at Your Fingertips: The six non-negotiable platform capabilities for modern telco engagement: scalable agile architecture, sub-50ms real-time processing, incremental machine learning, easy integration, full journey optimization, and smart business decisioning.8. Use Case: Turkcell:&nbsp;How Turkey's leading telco with 45% market share processed 1.8 billion events, ran 200 complex real-time CX scenarios, deployed 100+ automated personalization strategies, and doubled mobile customers' next-best-offer acceptance rate.

<ul><li>What You'll Learn</li><li>Why This Matters in Telecom Right Now</li><li>What's Inside The Guide </li>
</ul>

Telecommunication,Customer Engagement,Personalization,Customer Experience,Customer Journey Orchestration

The Ultimate Guide for Customer Engagement in the Telco Industry

Explore how telcos boost ARPU, reduce churn, and drive real-time customer engagement with AI, CVM, and hyper-personalization. Download the full guide.

Banking Engagement Guide | Real-Time Interaction Marketing

Banking is no longer just about storing money or facilitating transactions. To stay competitive, banks must become full-time trusted financial advisors to their customers, anticipating their exact needs and delivering hyper-personalized experiences in real time.<h2 class="">What You'll Learn</h2>1. Why banks must adopt an RTIM approach2. The current expectations of customers and why understanding them is critical3. The challenges of providing hyper-relevant experiences4. How to manage billions of data points while serving millions of customers5. How to build future-proof digitally assisted channel strategies6. How to optimize contextual relevance with digital intelligence7. A road map for seizing the next big moments in real time<h2 class="">Why This Matters for Banks Right Now</h2>60% of B2C customers say personalized experiences lead them to repeat purchases32% of banks are already using AI technologies such as predictive analytics to gain a competitive advantageReal-time offers can be up to 10x more effective than traditional outbound campaignsEvent-triggered offers can be 5x more effective than non-personalized campaigns<h2 class="">What's Inside the Guide</h2>1. The Hows and Whys of Seizing the Next Big Moment with RTIM:&nbsp;Why banks must deliver exceptional customer experiences beyond mere transactions, and how RTIM technology makes it possible to gain a competitive edge over fintech and technology giants.2. Emerging Customer Expectations: Why Understanding Them is So Critical: How the shift from mass segmentation to segment-of-one marketing drives higher revenue, loyal customers, and optimized marketing spending.3. The Maze of Operational Challenges in Pursuit of the Ultimate Experience: A deep dive into data silos, expensive legacy integration, day-old DWH data, and the complexity of creating real-time multichannel journeys.4. 4-Step Road Map to Building a Background for Seizing the Next Big Moment: Envision ideal journeys, define technology gaps, choose vendors with care, and embrace testing before full deployment.5. How to Create Ultimate Experiences in Real-Time: How RTIM marketing solutions with AI and data-processing capabilities enable banks to identify and capitalize on the next big action instantly.6. Capabilities You Need to Keep at Your Fingertips: Scalable platform design, actual real-time data processing under 50ms, incremental machine learning, and high adaptability for easy integration.7. Use Case: Pre-emptive Retention &amp; Upsell: How a declined transaction becomes a loyalty moment, a saved sale, and an upsell opportunity, all triggered and resolved in real time.

<ul><li>What You'll Learn</li><li>Why This Matters for Banks Right Now</li><li>What's Inside the Guide </li>
</ul>

Banking,Customer Engagement,Next Best Experience,Real-Time Banking Personalization,Digital Transformation,Customer Journey Orchestration

April 27, 2023

The Ultimate Guide for Banks to Seize the Next Big Moment

Discover how banks use real-time interaction marketing (RTIM), AI, and customer-centric journeys to increase loyalty, reduce churn, and seize the next big moment.

Ufone Wins Best SMS Marketing Campaign at Pakistan Digital Awards 2026 | Evam

We are proud to celebrate the success of our customer, Ufone, who has been awarded Best SMS Marketing Campaign at the Pakistan Digital Awards 2026.<img src="https://cms.evam.com/Uploads/Content/e009418761444dc487af7403561dabbe.webp" style="width: 100%;"> The recognition highlights the impact of a customer engagement strategy built on relevance, timing, and personalization, demonstrating how meaningful communication can create stronger customer relationships and measurable business results.At a time when customers expect more personalized and contextual experiences, Ufone has successfully transformed SMS from a traditional communication channel into a powerful engagement tool. By leveraging customer insights and delivering the right message at the right moment, the team has created experiences that drive value for both customers and the business.This achievement reflects a simple but powerful principle: every customer interaction matters. Every message is an opportunity to engage, create value, and strengthen customer relationships.We are honored that Evam has been part of this journey, helping enable real-time, data-driven customer engagement at scale. Together, Ufone and Evam have worked to deliver more relevant communications, improve customer experiences, and create stronger connections throughout the customer lifecycle.The award is particularly meaningful as it comes during a year in which Evam was also recognized by users worldwide in the latest G2 Summer 2026 reports, earning leadership positions across multiple categories, including SMS Marketing. These recognitions reinforce the growing importance of intelligent, personalized engagement strategies that go beyond traditional campaign execution.At Evam, we believe customer engagement should be driven by customer behavior, context, and intent, not static campaign calendars. Ufone's success demonstrates the impact organizations can achieve when they combine customer-centric thinking with real-time engagement capabilities.We congratulate the entire Ufone team on this well-deserved achievement and thank them for their continued partnership. We look forward to building on this success and creating even more impactful customer experiences together.Congratulations to Ufone on winning Best SMS Marketing Campaign at the Pakistan Digital Awards 2026.<div> </div>

Customer Success,SMS Marketing,Awards,Telecom,Pakistan,Ufone,Pakistan Digital Awards,Real-Time Engagement,Customer Engagement

Ufone Wins Best SMS Marketing Campaign Award with Evam-Powered Customer Engagement

June 18, 2026

Ufone has been awarded Best SMS Marketing Campaign at Pakistan Digital Awards 2026, powered by Evam's real-time customer engagement platform. Read the full story.

Evam Earns 117 G2 Summer 2026 Badges | #1 Highest Performer

Evam has achieved its strongest G2 performance yet in the Summer 2026 reports, earning 117 badges across global and regional categories, a reflection of growing customer trust, product momentum, and Evam’s continued leadership in real-time customer engagement.<img src="https://cms.evam.com/Uploads/Content/ec4a54269a9848158e330c83787ec3e8.webp" style="width: 100%;"> Among the standout achievements, Evam was recognized as the #1 Highest Performer and named an Enterprise Grid Leader in Marketing Automation, reinforcing its position as a trusted enterprise platform for intelligent customer engagement.The Summer 2026 results also highlight Evam’s momentum across multiple categories, with recognition spanning Marketing Automation, Customer Journey Analytics, Mobile Marketing, SMS Marketing, Push Notifications, and Personalization.<h2 class="">Key Highlights</h2>•	117 G2 badges earned globally&nbsp;•	#1 Highest Performer in Marketing Automation&nbsp;•	Enterprise Grid Leader in Marketing Automation&nbsp;•	Momentum Leader across key customer engagement categories&nbsp;•	Recognized for Ease of Use, Best Relationship, and Customer Satisfaction&nbsp;•	Strong presence across EMEA, Europe, Middle East &amp; Africa, and APAC reports&nbsp;Because G2 rankings are based entirely on verified customer reviews, these recognitions reflect real user experiences and measurable business impact.<h2 class="">Recognition Across Core Categories</h2>EVAM received Leader recognition in:•	Marketing Automation&nbsp;•	Customer Journey Analytics&nbsp;•	SMS Marketing&nbsp;•	Mobile Marketing&nbsp;Momentum Leader recognition included:•	Marketing Automation&nbsp;•	Mobile Marketing&nbsp;•	Push Notifications&nbsp;•	Personalization&nbsp;•	Customer Journey Analytics&nbsp;•	SMS Marketing&nbsp;Beyond category leadership, Evam also earned badges highlighting customer experience excellence, including recognitions for Ease of Use, Best Relationship, Best Meets Requirements, and Ease of Doing Business.<h2 class="">Built for Real-Time Enterprise Engagement</h2>These results reflect Evam’s continued focus on helping enterprises move from disconnected engagement to real-time, intelligent customer decisioning.From orchestrating cross-channel journeys to delivering next-best actions in milliseconds, Evam continues to help banks, telecom operators, retailers, and digital businesses create more relevant customer experiences at scale.<h2 class="">A Milestone — and Momentum for What’s Next</h2>This recognition marks more than a strong quarter. It signals growing market momentum for platforms built around real-time engagement, decisioning, and AI-powered customer orchestration.As enterprises continue to move beyond batch marketing and disconnected experiences, Evam remains focused on building what comes next.Recognized by customers. Built for what’s next. <div> </div>

<div>Table of Content</div><ul><li>Key Highlights</li><li>Recognition Across Core Categories</li><li>Built for Real-Time Enterprise Engagement</li><li>A Milestone — and Momentum for What’s Next </li></ul>

Evam Earns 117 G2 Summer 2026 Badges, Ranked #1 Highest Performer in Marketing Automation

June 9, 2026

117 G2 Badges. One Clear Signal.

Evam earned 117 G2 Summer 2026 badges, ranked #1 Highest Performer and Enterprise Leader in Marketing Automation. See what customers are saying.

EVAM Named in Forrester CCMH Landscape, Q2 2026

EVAM has been named in Forrester Research's Cross-Channel Marketing Hubs Landscape, Q2 2026, an overview of 28 vendors shaping the cross-channel marketing hubs (CCMH) market globally.<img src="https://cms.evam.com/Uploads/Content/7c14bf67d7f44855a94aef806ae90e8d.webp" style="width: 100%;"> The report maps the CCMH landscape as an established market where AI innovation is reshaping competitive dynamics&nbsp; enabling midmarket and specialist vendors to compete effectively against legacy enterprise suites. Forrester identifies agentic AI as the top market disruptor, shifting the role of CCMHs from campaign coordination tools to always-on intelligence platforms that autonomously sense, decide, and act across customer touchpoints in real time.EVAM is recognized in the report for its EMEA and APAC presence and industry focus across financial services, retail, and telecommunications, with extended use case strengths in contextually relevant customer experiences, personalized offers and recommendations, and unified customer journey orchestration."Being recognized in this Forrester Landscape reflects what we've been building from the start: a platform that doesn't just support marketing decisions, but makes them&nbsp; in real time, in context, at scale. The shift to agentic AI isn't coming; it's already live with our customers. This recognition signals that the market is converging on the architecture we've committed to all along." — Doruk Mutlu, CEO, EVAMThe full report is available to Forrester subscribers or for purchase at <a href="https://www.forrester.com/report/RES195991" target="_blank">Forrester</a>.

EVAM Named in Forrester's Cross-Channel Marketing Hubs Landscape, Q2 2026

June 4, 2026

EVAM is recognized in Forrester's Cross-Channel Marketing Hubs Landscape, Q2 2026 — among 28 global vendors shaping AI-driven marketing orchestration.

Evam Named Forrester Customer Journey Orchestration 2026

EVAM has been named in Forrester Research’s Customer Journey Orchestration Platforms Landscape, Q2 2026, an overview of 21 vendors shaping the customer journey orchestration (CJO) market globally.<a href="https://www.forrester.com/report/the-customer-journey-orchestration-platforms-landscape-q2-2026/RES194410?ref_search=4440701_1777975817341" target="_blank"><img src="https://cms.evam.com/Uploads/Content/64ad1774ed8f496da0d40763ac49f68f.webp" style="width: 100%;"></a> The report highlights a critical shift underway in the CJO market: organizations are moving from managing customer journeys to enabling AI to act on them autonomously in real time, and with measurable business impact. Forrester identifies agentic AI as the top market disruptor, compressing journeys and raising the bar for traceability, regulatory compliance, and outcome-driven decisioning.EVAM is recognized in the report for its EMEA presence and industry focus across financial services, retail, and telecommunications with extended use case strengths in AI-powered and agentic journey orchestration, customer and business value optimization, and customer-driven, AI-powered journey decisioning."We built EVAM on the belief that AI wouldn’t just assist decisions it would make them, in real time, at scale. The market is now catching up to that vision. Agentic AI is no longer a roadmap item; it’s in production with our customers today. Being recognized in this Forrester Landscape is a reflection of the architecture we’ve been committed to from day one: real-time context, autonomous decisioning, and outcomes that are measurable and accountable." — Doruk Mutlu, CEO, EVAMThe full report is available to Forrester subscribers or for purchase at <a href="https://www.forrester.com/report/the-customer-journey-orchestration-platforms-landscape-q2-2026/RES194410?ref_search=4440701_1777975817341" target="_blank">Forrester</a>

EVAM Named in Forrester’s Customer Journey Orchestration Platforms Landscape, Q2 2026

May 5, 2026

EVAM recognized in Forrester's Customer Journey Orchestration Platforms Landscape, Q2 2026. Leading agentic AI for real-time autonomous journey decisioning across financial services, retail, and telecommunications.

Evam G2 Spring 2026: 127 Badges, 153 Reports | Evam

Across 153 reports and 9 product categories, Evam delivers its strongest G2 season yet — sweeping Momentum Leadership in four categories simultaneously.<img src="https://cms.evam.com/Uploads/Content/e02289927c564598a6e0b8ce19f636bd.webp" style="width: 100%;"><h2>Momentum Leadership Across Four Categories — Simultaneously</h2>Istanbul, March 2026 — Evam has achieved its strongest G2 performance to date in the Spring 2026 Grid® Reports, earning 127 badges across 153 category reports worldwide. From the Middle East to Asia Pacific, this season's results reflect the growing enterprise demand for real-time customer engagement and the deepening trust of organizations relying on Evam to orchestrate customer experiences at scale.Spring 2026 marks a new milestone: Evam now appears in more G2 reports than ever before, with 30 brand-new report entries and rank improvements across more than 51 existing positions. Critically, every badge and ranking is driven entirely by verified customer reviews — making this recognition a direct reflection of the experiences our customers have every day.Evam earned #1 Momentum Leader in Marketing Automation, SMS Marketing, Personalization, Push Notification, and Customer Journey Analytics — all in the same G2 season.Beyond momentum, Evam earned Leader and Regional Leader recognition in categories and regions where customer satisfaction scores rank us among the very top platforms globally.<img src="https://cms.evam.com/Uploads/Content/c197e50685294c7a97219ced795f858a.webp" style="width: 100%;"> Evam earned the High Performer badge 79 times this season — across every region and market segment we compete in. High Performer status on G2 reflects both high satisfaction scores and strong market presence, and achieving it consistently across nine product categories is a testament to the breadth and reliability of the platform.<img src="https://cms.evam.com/Uploads/Content/79cef7cc7d68474fb6ca6ec6ba6ec317.webp" style="width: 100%;">Usability is often where enterprise platforms fall short. This season, Evam's customers told a different story. In the G2 Usability Indexes — which measure how easy a platform is to use, administer, and whether it meets business requirements — Evam ranked at the very top.<img src="https://cms.evam.com/Uploads/Content/265f907510c9421aaebb399643429054.webp" style="width: 100%;">G2's Relationship Index measures something beyond product features: the quality of the partnership between vendor and customer. It captures how easy it is to work with a platform, the responsiveness of support teams, and whether customers would recommend the solution to peers. This season, Evam ranked #1 across multiple Relationship Indexes.<img src="https://cms.evam.com/Uploads/Content/65e061d24b604d9787a2a3dff94d0539.webp" style="width: 100%;">and Push Notification, first-time Asia Pacific entries in Mobile Marketing, Personalization, and Marketing Analytics, and new Enterprise segment Usability and Results reports across multiple categories.Across the Middle East and Middle East &amp; Africa — regions where Evam has long-established enterprise relationships — the platform continued to rank in the top two or three positions in nearly every applicable category. The EMEA footprint spans 21 reports, the largest of any region.<h2>Driven Entirely by Customer Feedback</h2>Every badge and ranking in the G2 Spring 2026 Reports is based on verified reviews submitted by real Evam customers. There are no sponsored placements, no analyst scores, no vendor-controlled inputs. This makes the recognition especially meaningful — each badge is a direct signal of the experiences enterprises are having with the platform, the support teams, and the partnerships we build together."Enterprises choosing Evam need real-time engagement that works at scale, across channels, and across regions. These G2 results reflect not just what our platform does — but how our customers experience working with us every day."— Doruk Mutlu CEO EvamAs organizations continue moving from batch-based campaigns toward real-time, event-driven customer engagement, Evam's G2 Spring 2026 performance positions the platform clearly among the fastest-growing and most trusted solutions in the market. <div> </div>

evam g2 spring 2026,g2 spring 2026 marketing automation,g2 marketing automation leader,real-time customer engagement platform,customer journey orchestration platform

Evam's G2 Spring 2026 Highlights: 127 Badges, 153 Reports

March 23, 2026

Evam earns 127 badges across 153 G2 Spring 2026 reports, leading in marketing automation, personalization, and real-time customer engagement.

Hamkor Bank Officially Joins evamX Real-Time Customer Engagement Platform

We’re excited to announce a new milestone with Hamkor Bank as they officially join the <a href="https://evam.com/evamx" target="_blank">evamX</a> platform.<img src="https://cms.evam.com/Uploads/Content/f3a9456bf5fd482c964173f1db8f6f66.webp" style="width: 100%;"> This partnership marks a strong alignment around using real-time data and AI to create more relevant, personalized customer experiences across digital touchpoints. With evamX, Hamkor Bank will be able to orchestrate customer journeys in real time, activate insights instantly, and scale personalization with AI-powered decisioning.We’re looking forward to building impactful use cases together and turning real-time engagement into measurable business outcomes.More to come soon.Pictured: Evam CEO Doruk Mutlu with Hamkor Bank CEO Jo’rayev Baxtiyorjon Tuymuratovich (Uzbekistan).

Real-Time Customer Engagement Platform,AI-Powered Journey Orchestration,Banking Marketing Automation,Digital Transformation for Banks

Hamkor Bank Officially Joins evamX Platform

February 16, 2026

Hamkor Bank partners with Evam to deliver AI-powered real-time customer engagement, personalized journeys, and smarter banking experiences.

Send Personalized Real-Time SMS Messages | Evam

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Onic: From Manual Campaigns to Real-Time CLM at Scale | Evam

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Onic is PTCL Group's next-generation digital telco, built for the mobile-first era. With a rapidly growing subscriber base and a fully digital customer experience, spanning onboarding, plan management, recharge, and support, Onic needed more than better campaigns. It needed a CLM engine that could grow with the business.The challenge was structural. Customer data was siloed across systems, channels operated independently with no unified journey logic, and every campaign required manual execution. Segmentation was slow, A/B testing was limited, and the result was engagement that consistently lagged behind real customer behaviour.Onic partnered with Evam to rebuild its entire customer engagement stack from the ground up. Evam's real-time streaming architecture meant every activation, recharge, or inactivity signal triggered an immediate, personalised response, not hours later in a batch run. A no-code journey builder gave Onic's marketing team direct control over campaign logic, removing engineering dependency and cutting time-to-launch in half. And a flexible scenario engine let the team move from idea to live campaign in days, not sprints.With Evam in place, Onic deployed behaviour-triggered journeys across every stage of the customer lifecycle, onboarding nudges for incomplete steps, recharge reminders tied to balance thresholds, win-back flows for inactive subscribers, and CX journeys linked to SIM activation and plan expiry. Systematic A/B testing across message content and send timing made every campaign progressively sharper.The results were business-critical across every dimension: 44% overall engagement improvement, direct ARPU uplift from targeted recharge campaigns, a 2x increase in campaign turnaround speed, and 1.2% churn reduction among 90-day inactive users, with 100% of journeys running as fully automated, behaviour-driven flows.44% Engagement Uplift: Behaviour-triggered journeys replaced static, calendar-based campaigns across the full subscriber lifecycle.Direct ARPU Uplift: Targeted recharge campaigns drove measurable revenue impact at the subscriber level.2× Faster Campaigns: No-code journey building eliminated engineering dependency and cut time-to-launch.100% Automated: Every active journey runs on real-time triggers, no manual execution required.<div style="text-align: center; display:flex; justify-content:center;"></div>

How Onic achieved success with Evam

Onic

Success Story

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EVAM has played a key role in enabling Onic's customer lifecycle strategy. The platform gave us the agility to move from manual, one-off campaigns to real-time, behaviour-driven engagement at scale. It has significantly improved how we engage and retain customers, while reducing operational overhead for our teams.

Head of Product, Onic

Ehsan Rashid

44% engagement uplift. 2x faster campaigns. 100% automated journeys. Onic now runs its entire CLM strategy in real time with Evam.

See how Onic used Evam to transform its customer lifecycle strategy—achieving 44% engagement growth, direct ARPU uplift, and 2x faster campaign turnaround with real-time, behaviour-driven journeys.

Moldcell: Real-Time Marketing 4x Faster with Evam | Evam

Moldcell transformed its marketing operations with Evam, a real-time customer engagement and journey orchestration platform. Evam ingests live customer signals—app interactions, web events, payments, usage, and service triggers—then maintains up-to-date context for every subscriber. Using AI decisioning together with eligibility, suppression, and prioritization rules, the platform selects the next-best action and launches personalized offers, alerts, and journeys across SMS, push, in-app, IVR, and web in milliseconds.By shifting from batch campaigns to event-driven orchestration, Moldcell’s teams ship campaigns 4× faster, target 10× smarter through precise audiences and rule-based controls, and operate 100% in real time. Reusable journey templates and centralized governance reduce manual work, while API-level integrations with existing systems make changes safe and auditable at scale. The outcome is timely, relevant interactions for millions of subscribers—fewer generic blasts, more context-aware moments that improve customer experience and operational efficiency.4× Faster: From idea to live campaign in a fraction of the time with reusable journeys and automation.10× Smarter: AI decisioning + eligibility/suppression rules choose the right offer for each subscriber.100% Real-Time: Event-driven orchestration across all channels, reacting as customers act.Controlled at Scale: Governance, prioritization, and telco-grade performance for millions of interactions.<div style="text-align: center; display:flex; justify-content:center;"></div>

How Moldcell achieved success with Evam

Moldcell

In today’s fast-moving telecom landscape, the ability to act on real-time data and deliver personalized engagement across all channels isn’t just a competitive advantage - it’s a necessity. Breaking down silos and enabling end-to-end automation is key to scaling meaningful customer interactions.

Marketing Team

Moldcell JSC

4× faster. 10× smarter. 100% real-time Moldcell now turns every customer signal into the right action with Evam.

See how Moldcell used EvamX to deliver 100% real-time engagement—launching campaigns 4x faster and targeting 10x smarter with AI-driven journey orchestration.

LCW Boosts Conversions with Real-Time Engagement | Evam

As a leading fashion brand operating in over 50 countries, LC Waikiki needed more than just traffic—they needed action. Facing a growing gap between user intent and conversions, the team partnered with Evam to unlock the power of real-time behavioral engagement and close the loop between browsing and buying.Using Evam’s real-time engagement platform, LC Waikiki began delivering hyper-personalized promotions triggered by real customer behavior. Whether a shopper abandoned a cart or favorited a product without purchasing, Evam responded instantly—automating time-sensitive campaigns across mobile push, email, and omnichannel channels.The impact was immediate. LC Waikiki saw a 20% increase in average order value (AOV) and successfully re-engaged 794,000 users. Behavioral triggers helped recover 4% of abandoned carts and convert 4.4% of favorited products into purchases, contributing to 3% of total weekly sales. With over 100,000 customers engaged each week, LC Waikiki scaled both loyalty and revenue—without increasing operational workload.This collaboration redefined what agility means in e-commerce, proving that real-time personalization is no longer a luxury—it’s a growth engine.<div style="text-align: center; display:flex; justify-content:center;"></div>

How LC Waikiki achieved success with Evam

LC Waikiki

Our collaboration with Evam enabled a significant breakthrough in real-time marketing. Personalized, timely campaigns boosted our customer conversions and satisfaction.

E-Commerce Global Growth Management Unit Manager, LC Waikiki

Fatih Türker

20% AOV growth by converting intent into action with real-time journeys.

Discover how LC Waikiki boosted conversions with Evam's real-time customer engagement platform, driving more sales through personalized, behavior-based campaigns.

Success Story - How tbi bank doubled conversions with real-time engagement

tbi bank, a digital-first challenger bank with 2.4M+ customers across Southeast Europe, partnered with Evam to elevate its real-time engagement and customer journey automation. Facing challenges in onboarding, partner integration, and market education, tbi selected Evam for its agile deployment and powerful real-time ETL capabilities.By leveraging over 100 automated scenarios with Evam’s Marketing Suite, tbi significantly improved onboarding success (up 12%), personalized customer interactions, and optimized campaign performance—doubling conversion rates and slashing communication costs by shifting 77% of traffic to low-cost digital channels.Evam enabled the team to scale from 200K to over 5M messages/month without increasing headcount—transforming how tbi bank drives growth, engagement, and operational efficiency.<div style="text-align: center; display:flex; justify-content:center;"><iframe width="1100" height="500" src="https://www.youtube.com/embed/4x5tFQFtdGk?si=Y6UBXyM0p6VvzpAX" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen=""></iframe></div>

How tbi bank achieved success with Evam

tbi bank

<div>Better data management and automated communications powered by advanced event processing are just a few benefits of our partnership with Evam. This collaboration enables us to enhance operations and customer experience in a increasingly complex environment. We remain committed to continuous growth and anticipating customer needs.</div>

Head of Reengagement Campaign Engineering, tbi bank

Igor Shumytskyi

77% cost reduction and 2x conversion rates by shifting from manual campaigns to real-time, automated journeys.

Discover how tbi bank scaled real-time engagement, cut communication costs, and doubled conversion rates with Evam’s Marketing Suite—achieving a 12% onboarding uplift and 11.9% triggered offer conversions.

ABB Bank: +150% Upsell Growth with Real-Time Engagement | Evam

Bank ABB, one of Azerbaijan’s leading financial institutions, partnered with Evam to revolutionize its customer engagement strategy. With over 30 million communications delivered monthly and 40+ active scenarios running, ABB Bank achieved remarkable results by leveraging real-time, data-driven solutions. Through hyper-personalized customer journeys and automated processes, Bank ABB increased customer satisfaction and achieved significant business impact. From automating routine tasks to delivering real-time campaign benefits, the results speak for themselves.<h2 style="text-align: justify; line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">What’s in the full story?</h2><h2 style="text-align: justify; line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">Learn how ABB achieved a 50% reduction in security-related call volume, saving 70,000 AZN annually.&nbsp;</h2><h2 style="text-align: justify; line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">See how real-time credit card upsell campaigns drove 12-15% of all upsells,increasing limits by 150%.&nbsp; </h2><h3 style="text-align: justify; line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">Discover how ABB Bank generated 25 million AZN in cash loan sales in just three months.</h3><ul>
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How Bank ABB achieved success with Evam

Evam delivers results. From seamless integration to real-time customer engagement, it’s a platform built for impact. What Evam provides is much more than just a tool, it’s a partnership that drives growth. Thanks to Evam, we’re now equipped to create smarter, faster, and more meaningful customer journeys.

Leading Product Owner, Bank ABB

Kamran Ismayilov

+150% upsell. −50% call center traffic. Real-time engagement at scale.

Learn how Bank ABB boosted upsell growth by 150%, reduced call center traffic by 50%, and achieved cost savings with Evam’s real-time customer engagement and marketing automation

Success Story - Turn Customer Data into Growth

<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Kapital Bank is Azerbaijan’s largest financial institution, serving more than <span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">5 million individuals<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> and <span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">22,000 businesses<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> through an extensive network of <span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">120 branches and 50 departments<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">. Despite its 150-year history in banking and its leadership, the bank faced challenges in leveraging vast customer data, as traditional tools struggled to deliver real-time insights while ensuring privacy, compliance, and scalability.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">To overcome these obstacles, Kapital Bank turned to <span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Evam<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> for a powerful real-time engagement solution. By integrating Evam’s cutting-edge capabilities into its systems, the bank was able to:<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;">Launch and manage <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; font-weight: 700; vertical-align: baseline;">96 active real-time scenarios<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;">, enabling hyper-personalized, cross-channel interactions.<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;">Drive <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; font-weight: 700; vertical-align: baseline;">+16% incremental deposit sales<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> compared to traditional bulk send-outs.<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;">Achieve a <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; font-weight: 700; vertical-align: baseline;">+2.5% uplift<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> in cash loan sales through well-timed, real-time offers.<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;">Boost app downloads by <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; font-weight: 700; vertical-align: baseline;">6% daily for first-time users<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> and <span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; font-weight: 700; vertical-align: baseline;">15% overall<span style="background-color: transparent; font-family: Arial, sans-serif; font-size: 11pt; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; white-space-collapse: preserve; vertical-align: baseline;"> through targeted outreach.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Fill out the form to download the success story and discover how Evam’s real-time solutions can deliver exceptional results for your customer engagement game.<ul>
</ul>

How Kapital Bank achieved success with Evam

Kapital Bank

EVAM is a great platform for building increment by configuring real-time scenarios based on events and actions, using multiple channels and logics.

Retail Products and Cross-Sales - Product Manager

Tarana Teymurova

Kapital Bank turned real-time data into +16% deposit growth with 96 active journeys.

Discover how Kapital Bank achieved +16% sales growth and transformed customer engagement with Evam’s real-time, data-driven solutions. Download the success story now!

In the Age of AI, Context Wins | Doruk Mutlu at Tech.EU London | Evam

At Tech.EU London, Evam CEO Doruk Mutlu delivered a keynote that cuts through the noise of an industry spending $200 billion a year on MarTech — yet still failing customers at a fundamental level.Only 8% of consumers feel truly understood by the brands they interact with. Not because companies lack investment, tools, or talent. Because the architecture was built to select from the past, not respond to right now.Doruk argues that in a world where AI has commoditized almost every capability, context is the last defensible advantage. Real-time signal detection, contextual decisioning, and instant action — not segmentation, not batch campaigns, not another integration.This talk covers:→ The gap between how brands see themselves and how customers actually feel→ Why most MarTech stacks are practicing "digital taxidermy" — storing dead data, missing live intent→ How Evam was architected around the customer moment from day one→ What comes next: autonomous agents, nano-signals, and the Contextual Experience Layer

Watch 12m,Real-Time Context AI Marketing,AI,evamX,Evam,Customer Experience

In the Age of AI, Context Wins | Doruk Mutlu, CEO of Evam | Tech.EU London 2026

May 6, 2026

Watch Evam CEO Doruk Mutlu's keynote at Tech.EU London. Discover why real-time context — not more tools or data — is the only competitive moat left in the AI era.

How Moldcell Reduces Churn with Real-Time Marketing | Evam

Real-time engagement is no longer optional for telecom brands.In this episode of EvamTalks, we sit down with Moldcell to explore how they use real-time marketing, emotional engagement, and proactive communication to reduce churn and build long-term customer trust.Instead of generic campaigns, Moldcell focuses on delivering the right message at the right moment based on real customer needs. This approach helps them prevent silent churn, increase transparency, and create meaningful customer experiences.You’ll learn:-&gt; Why real-time engagement is critical in telecom marketing-&gt; How proactive communication prevents customer churn-&gt; The role of emotion and trust in digital marketing strategies-&gt; Why “value first” thinking drives long-term revenueIf you're working in telecom, banking, or customer engagement, this conversation will give you a practical perspective on how to move from reactive campaigns to real-time, customer-centric marketing.

Watch 12m,Real-time Marketing,Telecom Marketing Strategy,Telco Churn Reduction,Evam,evamX

Evam Talks: Customer Value Management & Real-Time Marketing at Jazz

February 12, 2026

How Moldcell Uses Real-Time Engagement to Reduce Churn in Telecom

Discover how Moldcell uses real-time customer engagement to reduce churn, build trust, and improve telecom marketing performance.

Customer Value Management & Real-Time Marketing at Jazz

In this episode of Evam Talks, we explore how Jazz is redefining Customer Value Management (CVM) and real-time marketing at telecom scale. As customer expectations shift from simply receiving offers to experiencing relevance, timing, and contextual engagement, execution has become the true differentiator. This conversation dives deep into how large organizations can move beyond strategy documents and actually operationalize real-time decisioning across complex telco and fintech journeys.You’ll learn why implementation speed matters more than strategy, how AI acts as an enabler for faster and smarter execution, and why coordination across departments is often the biggest barrier to contextual marketing. The discussion also challenges traditional telecom KPIs and introduces the importance of customer-centric metrics by measuring not just revenue, but customer sentiment, engagement, and long-term loyalty.Whether you're a telecom executive, CVM leader, digital transformation strategist, or marketing professional, this session offers practical insights into building an always-on, data-driven customer engagement model. The key takeaway is simple. Winning in modern telecom marketing is not about having more data or more campaigns. It is about identifying the right moment, acting with accuracy, and delivering value at scale.

Watch 12m,Customer Experience,Real-Time Marketing,Customer Value Management,Evam

https://www.youtube.com/watch?v=0vplnh3pOS0

Discover how Jazz executes Customer Value Management, real-time marketing, and AI-driven decisioning at telecom scale.

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