MoEngage Recognized as a Visionary in the 2026 Gartner® Magic Quadrant™ for Personalization Engines

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Personalization isn’t hard because of a lack of technology. It’s hard because customer engagement doesn’t happen in one place or at one moment in time.

That reality has guided how we’ve built MoEngage, often through lessons learned alongside customers as they scaled and adapted.

I’m pleased to share that MoEngage has been named a Visionary in the 2026 Gartner^® Magic Quadrant for Personalization Engines. We’re grateful for the recognition. More than that, we believe it reflects long-term work done in close partnership with customers who pushed us to build thoughtfully, not quickly.

Your Roadmap, Our Shared Direction

Our view on personalization has always been shaped by one belief. The best systems are built with customers, not for them.

That belief continues to guide how we think about the future. Our focus isn’t just on solving today’s use cases, but on building capabilities that help teams adapt as customer expectations, channels, and data environments evolve.

Personalization with AI Decisioning at The Core

AI has been part of personalization for years. What has changed is how deliberately it’s applied.

With Merlin AI, customers use generative agents to create on-brand content, build journeys, and move faster without sacrificing quality. Where we see the biggest shift, however, is in decisioning.

Decisioning agents help teams determine what should happen next for each customer, based on historical behavior, real-time activity, and predicted outcomes. These decisions are made in the moment, not after the fact.

The goal isn’t automation for its own sake. It’s helping teams make better decisions consistently, even as volume and complexity grow.

Dive into how we see this evolving over time.

A Warehouse-native Approach to Personalization

Most consumer brands already have vast amounts of customer data, from transactional history to website interactions and app usage. The challenge isn’t access to data. It’s turning that data into something useful, without adding complexity.

Too often, valuable information sits siloed across warehouses and external systems, making it hard to act on in real time. With MoEngage’s Warehouse Segments, brands can activate their existing warehouse data directly, without moving or copying it into the personalization engine.

This approach allows teams to build nuanced, real-time segments based on who the customer is using warehouse data, what they are doing right now through behavioral data, and what they are likely to do next using predictive data.

The intent is simple. Meet teams where their data already lives, reduce friction, and make personalization more reliable as scale increases.

Analytics That Powers Personalization

All of this only works if teams can see what’s happening and understand why.

Our platform provides in-depth analytics across experiences, journeys, behavior, funnels, and cohorts, giving marketers a complete picture of how their personalization efforts are performing. Instead of switching dashboards or stitching together reports, teams can see what’s working, where customers are dropping off, and where there’s room to improve, all in one place.

The intent isn’t more reporting. It’s creating a clear feedback loop, so teams continuously improve the customer experience as scale and complexity increase.

Read reviews on Gartner Peer Insights here,  here, and here.

This Vision Belongs to You

Everything we build at MoEngage is shaped by our customers. From midsize teams to global enterprises, your real-world needs continue to guide the platform’s evolution.

That partnership shows up not just in what we build, but in how it’s used every day. You can see this in action through the 1,350+ consumer brands worldwide who are bringing their personalization goals to life.

Thank you for the trust and collaboration. We’re excited to keep building what comes next, together.

Gartner, Magic Quadrant for Personalization Engines, Penny Gillespie, Jason Daigler, Michael Ro, Ross Cosner, 3 February 2026

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