Personalization isn’t laborious due to a scarcity of know-how. It’s laborious as a result of buyer engagement doesn’t occur in a single place or at one second in time.
That actuality has guided how we’ve constructed MoEngage, usually via classes discovered alongside prospects as they scaled and tailored.
I’m happy to share that MoEngage has been named a Visionary within the 2026 Gartner® Magic Quadrant™ for Personalization Engines. We’re grateful for the popularity. Greater than that, we consider it displays long-term work completed in shut partnership with prospects who pushed us to construct thoughtfully, not shortly.
Your Roadmap, Our Shared Course
Our view on personalization has all the time been formed by one perception. The very best methods are constructed with prospects, not for them.
That perception continues to information how we take into consideration the longer term. Our focus isn’t simply on fixing right this moment’s use instances, however on constructing capabilities that assist groups adapt as buyer expectations, channels, and information environments evolve.
Personalization with AI Decisioning at The Core
AI has been a part of personalization for years. What has modified is how intentionally it’s utilized.
With Merlin AI, prospects use generative brokers to create on-brand content material, construct journeys, and transfer sooner with out sacrificing high quality. The place we see the most important shift, nonetheless, is in decisioning.
Decisioning brokers assist groups decide what ought to occur subsequent for every buyer, based mostly on historic habits, real-time exercise, and predicted outcomes. These choices are made within the second, not after the actual fact.
The objective isn’t automation for its personal sake. It’s serving to groups make higher choices persistently, at the same time as quantity and complexity develop.
Dive into how we see this evolving over time.
A Warehouse-native Method to Personalization
Most shopper manufacturers have already got huge quantities of buyer information, from transactional historical past to web site interactions and app utilization. The problem isn’t entry to information. It’s turning that information into one thing helpful, with out including complexity.
Too usually, useful data sits siloed throughout warehouses and exterior methods, making it laborious to behave on in actual time. With MoEngage’s Warehouse Segments, manufacturers can activate their current warehouse information instantly, with out shifting or copying it into the personalization engine.
This method permits groups to construct nuanced, real-time segments based mostly on who the shopper is utilizing warehouse information, what they’re doing proper now via behavioral information, and what they’re prone to do subsequent utilizing predictive information.
The intent is straightforward. Meet groups the place their information already lives, cut back friction, and make personalization extra dependable as scale will increase.
Analytics That Powers Personalization
All of this solely works if groups can see what’s taking place and perceive why.
Our platform offers in-depth analytics throughout experiences, journeys, habits, funnels, and cohorts, giving entrepreneurs an entire image of how their personalization efforts are performing. As a substitute of switching dashboards or stitching collectively stories, groups can see what’s working, the place prospects are dropping off, and the place there’s room to enhance, multi functional place.
The intent isn’t extra reporting. It’s creating a transparent suggestions loop, so groups repeatedly enhance the shopper expertise as scale and complexity enhance.
Learn critiques on Gartner Peer Insights™ right here, right here, and right here.
This Imaginative and prescient Belongs to You
The whole lot we construct at MoEngage is formed by our prospects. From midsize groups to world enterprises, your real-world wants proceed to information the platform’s evolution.
That partnership exhibits up not simply in what we construct, however in the way it’s used on daily basis. You may see this in motion via the 1,350+ shopper manufacturers worldwide who’re bringing their personalization targets to life.
Thanks for the belief and collaboration. We’re excited to maintain constructing what comes subsequent, collectively.
Gartner, Magic Quadrant for Personalization Engines, Penny Gillespie, Jason Daigler, Michael Ro, Ross Cosner, 3 February 2026
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