MoEngage - Intelligent Customer Engagement Platform

In my current organization, we are using MoEngage  to engage with our customers, improve our funnel metrics, and onboard new users from our unpaid to paid category of business.

MoEngage  is currently live on our MathUp app, which is a math gaming app for kids. There are users who come into our funnel from different sources, and we use MoEngage to increase the DAU and MAU and ultimately reach out to them through in-app popups and push notifications to pitch them our math and English program, which is a paid program. This is how we use MoEngage; it is one of the revenue-generating channels for us.

There are a couple more ways that we use MoEngage. For example, we recently came across a lower rating on our application, and we are using MoEngage to run a campaign on the active user base who are on the application to take them to the Play Store and App Store to get their reviews. Since we do not have the bandwidth of our current product managers to enable a feature on the app, we are using MoEngage push notifications as well as in-app popups as a way to redirect the user to the Play Store and App Store for the ratings.

I think the best features MoEngage offers, in my experience, are send time optimization and the recent AI insights that are very helpful.

Send time optimization is beneficial since Bhanzu is serviceable across the globe, and there are different behavior patterns from users in different geographies. By using send time optimization, it helps us capture more eyes and increase our user interaction across different geographies. Additionally, AI insights help us optimize the campaign; we also get suggestions in terms of the creatives and the content. MoEngage has been a good platform so far, and I think it is very useful for keeping our users engaged on the application, which ultimately turns into a revenue channel. The more users engage with my platform, the more they will end up buying my product, which is the actual math course. MoEngage helps me reach out to these users very actively based on their activity, and hyper-personalization combined with reaching the audience at the right time helps me improve the end-to-end funnel and create more revenue opportunities.

Our MAU has increased from 10,000 users to 35,000 users in India, and we were also able to run a championship through our MathUp application, wherein we generated almost one crore of revenue across different verticals in the last year through various campaigns and championships that we run on the MathUp application.

I think MoEngage's AI capabilities comply with all the security norms.

Regarding the accuracy and reliability of MoEngage's AI capabilities, I think it takes a lot of time to learn and can be optimized. There is definitely scope for improvement, and the better data you feed into it, the better it gets. However, it can learn more, and the speed can be improved.

I think there are more tools available in the market that are very competitive and similar to MoEngage. MoEngage is a bit on the expensive side considering the features available, especially since similar features are available in the market. If there is something that can be worked around to bring down the cost, it will definitely increase the ROI for the users of MoEngage.

I have been working in my current field for 11 years.

I would suggest considering the different use cases for MoEngage. It definitely enables use cases that are not practically possible in-house, in terms of hyper-personalization, real-time notification, event-based cards, and other capabilities. MoEngage also has a feature called LPs, landing pages, where you can create your own landing pages, customize them, and make modifications to go live. You can explore multiple use cases with MoEngage and should discuss your business objectives with the MoEngage SPOC for different alternatives and available use cases that you might not have thought of. I give this review an overall rating of 7.

I used MoEngage  from October to December 2025. My primary use case for MoEngage  has been customer engagement and lifecycle communication. I used it to create and manage multi-channel campaigns across email, WhatsApp, push notification, and in-app messages. I worked on defining the target audience, user segmentation, campaign objectives, messaging, and success metrics while partnering with marketing and CRM  teams for execution. I also analyzed campaign performance through metrics such as open rate, click-through rate, conversions, and engagement to optimize future campaigns.

One example was a feature adoption campaign. I noticed that many users were signing up but were not exploring some of our newer HR features after onboarding. I used MoEngage to segment users based on their product behavior, such as users who had completed onboarding but had not used a specific feature within a set timeframe. I designed a multi-channel journey using email and in-app messages to educate users about the feature, highlighting its benefits and providing a direct call-to-action to try it. I worked on defining the target audience, user journey, campaign objectives, and the success metrics. While partnering with the marketing team, I was able to make it a better use case. I tracked metrics such as open rate, click-through rate, and feature adoption conversion. After iterating on the messaging and timing, I saw approximately a 15% improvement in engagement and higher adoption of the targeted feature.

Another memorable campaign I worked on at Housing.com focused on improving user engagement for the Housing community feature. I wanted to encourage users who had registered but were not actively participating in discussions. I segmented users based on their behavior, such as users who had signed up but had not posted or interacted with the community within the first week. Using MoEngage, I created an engagement journey with push notification and email highlighting relevant discussions, trending topics, and prompts to ask the first question. As a product manager, I worked on defining the user journey, segmentation criteria, campaign objective, and success metrics. I monitored metrics such as click-through rate, returning users, and community engagement. The campaign helped increase user participation and improve overall engagement within the community feature. I collaborated closely with the CRM  or marketing team, and my responsibility was defining the product use case, user segment journey, and key performance indicators.

Beyond campaign execution, I primarily viewed MoEngage as a product insight and customer engagement platform. I used it to understand user behavior, identify drop-offs in key journeys, and validate whether product changes were improving engagement. I collaborated closely with the marketing, design, and engineering teams to ensure the right events were tracked and users were segmented correctly. While I was not a dedicated CRM manager, I was hands-on in defining user journey, segmentation logic, campaign objective, and success metrics. I also analyzed campaign performance and used those insights to iterate on both the product experience and customer communication.

The features I find most valuable in MoEngage are behavioral segmentation. It allows me to create dynamic user segments based on action, demographic, lifecycle change, and product usage, enabling highly targeted engagement. The customer journey feature is also very interesting to me. The visual journey builder makes it easy to automate personalized, multi-step engagement flow. Omni-channel messaging is another valuable aspect. It supports email, push notification, in-app messages, SMS, and WhatsApp, allowing a consistent experience across channels.

Personalization is another important feature. Messages can be tailored using user attributes, events, and recommendations. A/B testing is one of the most important parts in my day-to-day work. It is easy to experiment with different messaging, content, timing, and channels to improve campaign performance. Event tracking and integration is one of the mostly used features by me because MoEngage integrates well with the product analytics and data dashboards. This makes it easier to capture user events and trigger real-time campaigns. The dashboard with funnels, cohorts, and campaign analytics from analytical insights and actions is another area which I use daily.

MoEngage had a measurable impact on user engagement and feature adoption in our organization through better behavioral segmentation, personalized messaging, and automated customer journeys. I improved engagement by around 15% for the campaigns I was involved with. It also helped me to improve feature adoption by reaching the right users at the right stage of their journey. While these results were the result of collaboration across product, marketing, and engineering, MoEngage was a key platform that enabled me to execute, measure, and continuously optimize our customer engagement strategy.

Overall, I think MoEngage is a strong platform, especially for customer engagement and lifecycle marketing. If I had to suggest a few improvements, they would be to simplify advanced journey configurations. As journeys become more complex with multiple branches and conditions, they can become difficult to manage. Better visualization and debugging would help.

I would also like more customizable dashboards. While the analytics are comprehensive, I would appreciate more flexibility to create role-specific dashboards for product, marketing, and leadership teams. Additionally, deeper artificial intelligence-powered recommendations would be beneficial. Suggestions for the best channel, optimal send time, or the next-best action based on user behavior would make campaign optimization even easier. These are enhancements rather than shortcomings. Overall, I found MoEngage to be a robust and easy-to-use platform that supported our engagement and product goals very well.

MoEngage is one of the stable platforms I used. In my experience, MoEngage was a stable platform. I used it regularly for customer segmentation, automated journeys, and more. Like any SaaS platform, there were occasional major issues or delays, but nothing that affected our day-to-day operations in a meaningful way. Overall, I found it dependable for running campaigns and analyzing performance, which is why I rated it highly.

In my experience, MoEngage is highly scalable. As our user base and engagement campaigns grew, the platform handled larger customer segments, multiple automated journeys, and omni-channel communication without requiring changes to how we worked.

Customer support at MoEngage is really great. My experience with customer support was positive. Whenever I had questions related to platform usage, campaign configuration, or anything else, the support team was responsive and helpful. I would rate customer support between 8 to 10.

By the time I joined, MoEngage was already the customer engagement platform in place, so I was not involved in evaluating or migrating from another solution. I worked with MoEngage throughout my tenure for segmentation, customer journey, and campaign analytics.

MoEngage was deployed as a public cloud SaaS solution in our organization. I accessed it through the web interface, and it integrated with our product analytics stack through software development kits and application programming interfaces. I did not manage the underlying infrastructure myself. The platform was cloud-hosted, which made it easy to scale and maintain. As a product manager, my focus was on configuring user journeys, segmentation, event tracking, and analyzing campaign performance, while the infrastructure and platform management was handled by MoEngage and our engineering team.

MoEngage was used as a cloud-hosted SaaS platform on Amazon Web Services . I was not involved in the infrastructure decision, but from my product perspective, I accessed it as a managed SaaS solution and integrated it with our product through application programming interfaces and software development kits.

I definitely saw a positive return from using MoEngage, although I was not responsible for calculating the financial return on investment. From the product perspective, I saw around a 15% improvement in engagement for the campaigns I optimized through better segmentation and personalized customer journeys. I also saved significant time by automating lifecycle campaigns that would otherwise have required manual execution. Instead of repeatedly creating and sending campaigns, the journeys ran automatically based on user behavior, allowing the marketing and product team to focus on optimization rather than operation.

I was not involved in the procurement or vendor purchasing process. From my perspective, I used MoEngage as a SaaS platform, but the commercial agreement and licensing were handled by our procurement, IT, or finance team. I cannot confidently say whether it was purchased through Amazon Web Services  Marketplace. I was not directly involved in pricing negotiation, licensing, or commercial discussions. Those were managed by our procurement and leadership team.

I was not involved in the vendor evaluation process, so I cannot say with certainty which other platforms were considered. By the time I joined, MoEngage had already been selected and implemented. My role was focused on using the platform to drive customer engagement and product outcomes rather than evaluating vendors.

My advice would be to first define your business goals before implementing MoEngage, whether you are trying to improve onboarding, increase feature adoption, boost retention, or reduce churn. I also would recommend investing time in event tracking and data quality. Start with a few high-impact use cases, measure the results, and iterate. Finally, treat MoEngage as more than a campaign tool. I would rate this overall experience a 9.

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The marketing team with help of an chatbot is offering dollars worth of reward for the reviews and once the reviews are posted, the bot just wont respond..

MoEngage  found a fraud way to get reviews..

A specific example of how I used the reports for media performance in CRM  is by observing the results of the campaigns through the trackings and using the funnel report dashboards, retention report, and prediction reports with MoEngage .

Regarding the funnel report, I would highlight that it is a report that has several possible perspectives regarding CRM attributions and it helps significantly in decision-making for upcoming communications and day-to-day strategies.