Targeted lifecycle journeys have boosted engagement and have improved retention continuously
What is our primary use case?
My main use case for MoEngage is to primarily focus on driving user engagement, retention, and lifecycle optimization. MoEngage has been a highly effective platform for enabling data-driven customer engagement strategies across our multiple channels. The key feature we use is user segmentation and personalization, excelling in behavioral segmentation. We create cohorts based on real-time and historical actions, allowing us to target users very precisely. From a product standpoint, it helps me deliver contextual communication, improving conversion rates, reducing churn, and leveraging personalization capabilities based on user attributes, activities, and preferences, which are especially powerful when running lifecycle campaigns.
A specific example of how we've used MoEngage for user engagement is during new user onboarding on our platform. We assist users in their onboarding journey, addressing the significant drop-off between user sign-up and first key actions. The problem we noticed was a large percentage of users signing up but not completing the initial onboarding steps required to experience the core value of the product. We used MoEngage to identify drop-off points through behavioral data and created segments of users who did not complete onboarding within the first 24 hours. We designed a multi-level automated journey targeting these users, built a lifecycle flow, included push notifications reminding users to complete the onboarding, provided in-app messages guiding users step by step when they reopen their apps, and followed up with emails containing clear value propositions and quick start tips. We also implemented A/B testing on messaging to optimize performance. As a result, we saw significant improvements in onboarding completion rates, increased activation rates within the first 48 hours, and better early-stage user retention.
Overall, MoEngage enables us to move from generic communication to highly contextual, behavioral-driven engagement, which directly impacts product adoption and retention.
How has it helped my organization?
We have definitely seen a positive impact on our organization since we started using MoEngage. I have seen measurable improvements across several key product and business metrics, particularly in user engagement, retention, and operational efficiencies. The first impact I noticed is improved user engagement on our platform, which is one of the most immediate effects, significantly increasing user engagement across our channels. By leveraging behavioral segmentations and personalized messaging, we deliver more relevant push notifications and in-app messages, improving our open rates and click-through rates and enhancing overall interaction with core product features. This shift from generic to targeted communication made our engagement strategy much more effective than before. Additionally, we have observed higher user retention and reduced churn rates, playing a critical role in strengthening our retention strategy. Through automated lifecycle campaigns such as onboarding, re-engagement, and inactivity nudges, we reduced early-stage drop-offs and increased retention from day one to day seven, recovering a portion of inactive users. This ability to trigger timely, behavioral-based communication helps maintain user engagement throughout their lifecycle.
Regarding engagement metrics, we observed a push notification open rate increase of roughly 25 to 30% due to better targeting and personalization features. The click-through rates improved by 15 to 25% across our campaigns, and in-app messages engagement improved by over 20%, especially during onboarding flows. These improvements were mainly driven by behavioral segmentation and A/B testing. We have also seen retention and churn reduction after using MoEngage: Day one to day seven retention improved by approximately 10 to 20%, and re-engagement campaigns helped recover around 8 to 12% of inactive users. Overall churn reduced by about 10 to 15% over a few months after using MoEngage. The automated lifecycle journey played a key role in achieving this.
What is most valuable?
In my opinion, MoEngage provides numerous features, but the best one I find is Advanced Segmentation and Customer Insights because it offers a 360-degree view of users and enables deep behavioral segmentation. We can segment users based on real-time and historical behavior, build cohorts using multiple attributes and events, and analyze funnels, retention, and user paths. This allows us to move beyond generic campaigns and deliver highly targeted, data-driven engagement strategies, which directly improve conversion and retention rates for our organization. Additionally, I appreciate the Omnichannel Engagement feature because it enables seamless communication across different channels including push notifications, email, SMS, and in-app messaging from a single platform. From a product manager standpoint, this is extremely valuable as it ensures consistent messaging across touchpoints, reduces dependency on multiple tools, and helps design a unified customer journey. Another feature that stands out is the Customer Journey Builder, which is an automation process by MoEngage. It allows us to create automatic workflows based on user behaviors, add conditional logic, and trigger real-time engagement. All of this helps us scale lifecycle campaigns including onboarding, retention, and re-engagement with minimal manual efforts.
Out of these features, I think AI-Powered Insights and Predictions have the biggest impact on my work because it helps predictively identify users who are likely to churn or convert, which is extremely useful for proactive engagement. For example, it predicts users likely to uninstall or become inactive, identifies highly convertible users, and triggers campaigns based on predictive behaviors. This shifts our strategy from reactive to proactive product growth. Additionally, the personalization capabilities of the platform allow for deep personalization using attributes, preferences, and past interactions. We can customize messages dynamically and show personalized product recommendations, tailoring communications based on lifecycle stages. These have significantly improved engagement rates and user experience.
Another feature that stands out is the analytics and reporting aspect. It provides strong analytics tools such as funnel analysis, retention tracking, and user behavior insights. These insights help my product team continuously optimize campaigns, identify drop-offs, and make data-driven decisions.
What needs improvement?
There is definitely room for improvement in MoEngage. A few challenges and pain points I have experienced include the learning curve for advanced features. Although the basic interface is user-friendly, some advanced capabilities such as complex segmentations, journey logic, and event configuration can present a steeper learning curve. Our new users require training to fully utilize the platform, and debugging complex journeys is not always intuitive. Improvement in guided workflows or more interactive onboarding would help us make better use of MoEngage.
While the platform provides solid analytics, there are limitations regarding deep customization and advanced reporting, with limited flexibility in creating highly custom reports. We have noted that exporting and combining data for deeper analysis sometimes requires external tools, so enhancing analytics capabilities or offering more customizable dashboards would significantly add value to the platform. Additionally, we have observed minor delays in real-time data syncing when managing large user volumes, and event-based triggers may occasionally face delays. While these are not major issues, improving real-time responsiveness would strengthen time-sensitive campaigns on our platform.
One improvement would be UI/UX enhancements in campaign management because, while the UI is generally clean, managing multiple campaigns and journeys at scale can feel slightly cluttered. Navigating between campaigns and flows can be optimized, and better visualization for complex journeys would help us significantly. A more streamlined interface for large-scale operations would enhance usability.
I believe one area for further development could be more advanced AI-driven automation. For example, smarter recommendations for campaign timing, audience selection, or next best actions would be beneficial. While the current predictive features are useful, further maturity would make the platform even more proactive and reduce manual optimization efforts.
For how long have I used the solution?
I have been using MoEngage for the last one year.
What do I think about the stability of the solution?
In my experience, MoEngage is quite stable, and we have not encountered any major downtime. From a technical standpoint, the platform is designed to operate at scale with capabilities such as processing massive data volumes and maintaining around 99.9% uptime, reflecting a strong reliability standard. Based on our team's status and observations, we noticed nearly 100% uptime over the recent period, indicating well-maintained infrastructure. Thus far, we have not experienced any significant downtime or reliability issues.
What do I think about the scalability of the solution?
MoEngage effectively handles our growing needs. As our product scales, we have seen a steady increase in monthly active users, event volumes, and campaign frequency. MoEngage is designed to manage monthly tracked users and event volumes, which makes it inherently stable as users grow. We have been able to expand our user segment from thousands to millions while running campaigns across large audiences without performance degradation and maintaining consistent delivery across channels.
How are customer service and support?
My experience with customer support for MoEngage is quite good. They are knowledgeable whenever we need assistance. I have reached out to the support team multiple times, especially during onboarding and while setting up complex campaigns. The response time has generally been quick and reliable, with queries addressed efficiently within reasonable timeframes. They provide a dedicated account manager to streamline communication and ensure easy access to support channels. They have been helpful in resolving campaign issues, debugging journeys, offering best practices for segmentation and lifecycle strategies, and assisting with implementation challenges.
Which solution did I use previously and why did I switch?
I have not previously used any other solution; I directly used MoEngage after conducting research and receiving recommendations from a few colleagues.
How was the initial setup?
My experience with pricing, setup cost, and licensing for MoEngage has been positive, especially considering the value it delivers, though there are nuances worth mentioning. The pricing model follows a customer user-based pricing mechanism, primarily based on monthly tracked users and feature tiers. The pricing is not fixed and depends on scale, features, and channels employed. It typically offers plans including Growth and Enterprise tiers, with additional features as add-ons in the billing cycle. From a product perspective, this flexible model scales well as the business grows. Regarding cost versus value, I feel the pricing is justified for the capabilities provided by MoEngage, especially when considering improved engagement and retention, reduced engineering dependencies, and consolidation of multiple tools into one platform. While it may not always be the cheapest solution on the market, it provides strong value for mid-to-range products. In terms of setup and implementation cost, the initial setup requires investment, particularly in SDK integration and event tracking, which necessitates time to define user events and data structure. Initial onboarding and configuration efforts do require investment, but once implemented, the platform becomes largely self-serve for product and marketing teams, offsetting the upfront costs over time.
What was our ROI?
We have seen a positive return on investment after using MoEngage, impacting revenue and operational efficiency. From a business perspective, it has significantly improved the efficiency of our marketing spend due to campaign targeting enhancements that lead to a rough uplift of 10 to 15% in campaign-driven revenue. Better segmentation reduces wasteful outreach, improving overall marketing ROI by approximately 20 to 30%. We also observed a 10 to 12x ROI uplift with a 40% reduction in spend for similar revenue outcomes. These metrics clearly show how personalization and automation translate directly into financial returns. Regarding cost savings, we see reduced dependency on multiple tools, saving around 15 to 25% in total costs, while better audience segmentation lowers customer acquisition costs over time. Regarding time savings, campaign creation time has been cut by about 50 to 70%. What previously took several days can now be completed in just hours or even minutes, and campaign execution time has dropped from seven to eight days to under an hour since adopting MoEngage.
Which other solutions did I evaluate?
Before choosing MoEngage, I evaluated several other options but ultimately decided to proceed with MoEngage. We considered CleverTap, WebEngage, Braze, and Salesforce Marketing Cloud.
What other advice do I have?
As an experienced user, my advice for others considering MoEngage is to define their use case early. Before implementing MoEngage, they should clearly identify their key goals, such as optimizing user onboarding, reducing retention and churn, implementing feature adoption, and planning re-engagement campaigns. Understanding that MoEngage is more effective when aligned with specific lifecycle objectives rather than just ad hoc messaging will be beneficial. Investing in proper event tracking is essential, and starting simply and scaling gradually is a good approach. They should leverage automation and journey builders, use A/B testing, and make data-driven iterations. Finally, they should train their teams early to increase cross-stream collaboration among product, marketing, and analytics personnel and utilize MoEngage support and documentation for best results.
MoEngage is not just a messaging tool but a strategic product growth platform that significantly enhances user engagement and retention when used effectively. I would rate this review an overall 8 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
MoEngage Turns Raw Event Data into Actionable, Visual Campaign Journeys
What do you like best about the product?
MoEngage makes it easy to move from raw event data to actionable campaigns without too much dependency on engineering. Segments feel very dynamic, you can define user groups based on behavior, time windows, and custom properties.
I like how quickly you can validate whether events are flowing correctly using real-time data. Campaign journeys can be built visually, which helps understand how users move across touchpoints.
It’s useful not just for marketing, but also for QA to verify tracking logic during feature releases. It connects analytics and execution in a way that feels usable day-to-day.
What do you dislike about the product?
Managing a large number of events and attributes requires strict naming discipline. Some reports take time to load when datasets grow. Advanced configurations are not always intuitive for new users. Debugging incorrect event data can take effort without proper tracking standards. Not blockers, but noticeable in ongoing usage.
What problems is the product solving and how is that benefiting you?
Helps identify how users actually interact with features instead of relying on assumptions. Enables precise targeting instead of sending generic campaigns to all users. Improves campaign effectiveness by using behavioral triggers. Allows quick validation of tracking during QA cycles. Reduces dependency on multiple tools by combining analytics and engagement. The biggest benefit is better decision-making based on real user behavior.
Powerful Segmentation and Intuitive Campaigns with Clear Funnel Insights
What do you like best about the product?
MoEngage makes it easy to track user behavior and convert it into meaningful campaigns.
The segmentation engine is powerful, you can target users based on real actions, timing, and custom attributes.
Funnels give clear visibility into drop-offs across onboarding, checkout, or feature adoption flows.
Campaign creation (push, email, in-app) feels intuitive and doesn’t require heavy technical support. Real-time event tracking helps validate whether integrations are working correctly during QA.
What do you dislike about the product?
Complex segments can become difficult to manage without strict naming discipline.
What problems is the product solving and how is that benefiting you?
Helps identify where users drop off and why, using funnel insights. Enables targeted campaigns instead of broad, generic messaging. Reduces guesswork by relying on behavioral data instead of assumptions. Improves user engagement through personalized communication. Speeds up campaign execution without heavy engineering dependency. The biggest benefit is smarter engagement, reaching the right users with the right message at the right time.
MoEngage Makes Customer Data Actionable with Easy Segmentation and Personalization
What do you like best about the product?
MoEngage does a great job of turning customer data into action. It’s easy to segment, personalize, and iterate without heavy dependency on tech teams.
What do you dislike about the product?
The platform is powerful, but it can feel overwhelming at first. There’s a learning curve before you fully unlock its potential.
What problems is the product solving and how is that benefiting you?
MoEngage solves the problem of scattered customer data and disconnected engagement. It helps me understand user behavior in one place and act on it quickly with relevant, timely communication.
Efficient Notification with Room for Improvement
What do you like best about the product?
I use MoEngage for push notifications on different events, like engaging users, sharing updates, and transaction messages. I like the user segmentation and campaign automation since they simplify creating push notification campaigns for targeted audiences, reducing manual efforts. Its features help us target the right users and improve notification engagement for specific events. Basic push notifications were working quickly with minimal effort, making the setup easy.
What do you dislike about the product?
I find the dashboard and reporting lacking clear insights. Better documentation and examples would be more helpful for quick understanding and getting started. I wish for more customizable reporting and templates, a simplified segmentation UX, and a better A/B testing experience.
What problems is the product solving and how is that benefiting you?
I use MoEngage to send timely push notifications and updates, which helps reduce drop-offs. Its user segmentation and campaign automation simplify targeting, improving engagement and reducing manual efforts.
Boosts Campaign Efficiency with Multi-Channel Support
What do you like best about the product?
I like the interactive campaigns we can have at different stages of the order journey and the number of channels it supports, including WhatsApp and email. The ease of platform use and customization at different stages of the order journey made us choose MoEngage. The initial setup was quite seamless with dedicated support from the tech team.
What do you dislike about the product?
MoEngage is not able to conversationally interact with customers, meaning it doesn't rely on customer responses, and its WABA connectivity could be improved. It should support more WABA providers and help in integration with conversational platforms like DevRev and Verloop.
What problems is the product solving and how is that benefiting you?
MoEngage automates marketing campaigns at the order journey level, helping us improve customer interaction and loyalty by reaching customers at relevant touchpoints and increasing conversions with triggers like cart abandonment and checkout failure.
Reliable Event Tracking and Powerful Segmentation
What do you like best about the product?
Event tracking is reliable and easy to validate during QA cycles. Segments are extremely useful for grouping users based on real actions, not just static attributes. We regularly use segments to confirm whether users enter the correct cohorts after specific flows. Real-time segment updates make it easy to catch tracking issues early. Funnels combined with segments give a clear picture of user drop-offs and intent
What do you dislike about the product?
Segment conditions can become complex and hard to maintain if naming conventions aren’t strict.
What problems is the product solving and how is that benefiting you?
Helps validate whether events are firing correctly across key user journeys. Segments ensure campaigns and analysis target the right users. Reduces dependency on engineering for analytics validation. Helps catch missing or misfiring events before they impact campaigns. Gives product and QA teams a shared, data-driven understanding of user behavior.
Effortless Funnel Building and Real-Time Segmentation
What do you like best about the product?
Funnels are extremely easy to build, you just pick the events and MoEngage instantly shows drop-offs, conversion rates, and time taken between steps. Great for both QA validation and product decision-making.
Segments update in real time, which makes it simple to verify whether users are entering or exiting a segment after specific actions.
The ability to filter funnels by device type, location, user properties, or custom attributes gives a much richer understanding of problem areas.
Segments can be reused across campaigns, which means once you define a behavioral pattern (like “added to cart but never purchased”), it's available everywhere.
What do you dislike about the product?
Funnels with very high data volume sometimes take a bit longer to load. If event names are not standardized well, funnel building becomes messy, this puts pressure on teams to maintain strict naming discipline.
What problems is the product solving and how is that benefiting you?
Funnels reveal exactly where users drop off in key flows like onboarding, checkout, or feature adoption, making it easier to prioritize fixes. Funnels instantly highlight if an event in the sequence is missing or misfiring after a deployment. Segments help target the right users with campaigns and personalization, e.g., “users who viewed vs. users who completed an action.” Behavioral segmentation helps validate whether campaigns are reaching the intended audience, especially during A/B tests. Together, funnels + segments create a clear picture of user intent, which improves product roadmaps and testing strategies.
Powerful Segmentation and Intuitive Campaigns, Effortless User Journey Insights
What do you like best about the product?
The dashboard gives a very clean overview of user journeys, it's easy to trace how users move through different parts of the product. Event tracking is straightforward, and the real-time event stream helps verify instrumentation quickly during testing. Segmentation is incredibly powerful; you can slice users based on actions, timing, location, or behavior patterns. The campaign builder is intuitive, push notifications, emails, and in-app messages can be created without depending on engineering every time.
I appreciate how easy it is to validate events from both the browser and MoEngage console during QA cycles.
What do you dislike about the product?
The UI can feel slightly slow when switching between heavy analytics reports. Event names and attributes need strict consistency, any naming mismatch becomes confusing quickly.
What problems is the product solving and how is that benefiting you?
It validates whether events are firing correctly across different user flows, critical for downstream analytics and personalization. Helps catch missing or duplicate events during QA before they reach production. Gives product teams deeper insights into user drop-offs, engagement patterns, and campaign effectiveness. Reduces dependency on engineering for small marketing or retention campaigns. Enables faster debugging because you can trace the entire chain - user action then event then segmentation and finally campaign trigger.
