MoEngage Reviews

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.

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.

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.

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.

I have been using MoEngage for the last one year.

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.

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.

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.

I have not previously used any other solution; I directly used MoEngage after conducting research and receiving recommendations from a few colleagues.

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.

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.

Before choosing MoEngage, I evaluated several other options but ultimately decided to proceed with MoEngage. We considered CleverTap, WebEngage, Braze, and Salesforce Marketing Cloud.

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.

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.

My main use case for MoEngage is user behavioral analysis and the trigger of campaigns based on the user's behavior that MoEngage provides.

A specific example of how I use MoEngage for user behavioral analysis or campaign targeting is that we have integrated MoEngage's SDK with our mobile application. When a user launches the mobile application, whatever journey or path the user takes, we have configured the respective events and custom events within MoEngage, which gives us the ability to do funnel analysis and provides us with clickstream data. Based on the key actions on the mobile application, we trigger various cross-channel campaigns such as push notification campaigns, WhatsApp campaigns, email campaigns, or SMS campaigns.

MoEngage's best features are its structured approach to everything, from creating user profiles to deciding the system attributes and custom attributes. How the events are defined, both system events and custom events, is another excellent aspect, making it a new-age platform which allows users to configure everything through profile APIs and event APIs.

MoEngage has positively impacted my organization because before MoEngage's onboarding, we were not having behavioral data or the behavioral analysis of our users in a single platform. Google Analytics was available, but it is somewhat user-agnostic. When we onboarded MoEngage, we could gather a lot of clickstreams and event data of whatever user profiles were created, and that has given us insights about the behaviors of the users which have positively impacted the business decisions that the marketing team or the business team makes.

MoEngage can be improved in the sense that while it is aligned to a mobile-first business strategy, bigger organizations with multiple business entities have complex requirements. Although MoEngage is great for having user behavioral data as the core of the platform, it should try to build the channels in-house. For example, the email channel relies on integrations with third-party service providers, which can create issues when there are integration glitches as MoEngage does not take ownership of those channels.

I have been using MoEngage for close to five years.

MoEngage is stable. It does not own any channels, so it remains stable.

Regarding MoEngage's scalability, it is quite scalable, but the only issue is that when user profiles created in MoEngage increase, the cost also rises, sometimes creating a mismatch between scalability and engagement.

MoEngage's customer support is good, and they have a dedicated customer success manager and integration expert. However, since they do not own actual channels, many queries are redirected to third-party service providers such as Netcore or SendGrid, which can lead to challenges as MoEngage does not take ownership of those services.

We have not used a different solution before using MoEngage.

We did not purchase MoEngage through AWS Marketplace. Instead, we connected with MoEngage's sales team, and they guided us through the agreement and onboarding process, with integration experts helping us get started.

Specific outcomes that show how MoEngage has impacted my organization include real-time triggers that it offers, enabling real-time campaigns that have increased the engagement rate. For example, when we started, our active user base was around 2 to 2.5 lakh users, which in 2.5 years has crossed a million now. The engagement rate, or what I would say, active monthly users has grown from 2 to 2.5 lakhs to over a million in around 30 months.

We have managed to increase campaign execution efficiency by 30%, as earlier, a campaign used to take around three days to rollout to actual users, but now it can be done in a day or maximum 10 to 12 hours.

My experience with MoEngage's pricing, setup cost, and licensing is that the pricing is reasonable. It is not too costly or too cheap, but when considering the overall cost, as it is a new-age platform, the tech team must be available to push data events and attributes into the platform consistently, making the total overall cost comparable to that of Salesforce Marketing Cloud for their enterprise edition.

Before choosing MoEngage, we evaluated a couple of options, including Gupshup and WebEngage, alongside MoEngage.

Regarding MoEngage's AI capabilities, I think its governance and security are quite good and standard as offered across other platforms. Their capabilities are good and easy to use and help marketers improve their campaign execution efficiency with those features.

Regarding the accuracy and reliability of MoEngage's AI output, I note that since it is an AI feature, it comes with a learning curve. Although MoEngage claims that it provides a well-trained AI model, we have reservations as sometimes the data it collects may not be accurate due to the specific format required for user attributes and events, which creates challenges for providing input data conveniently.

My advice to others looking into using MoEngage is that if your business model operates on a mobile-first strategy, then MoEngage is a good platform for getting user behavior and user engagement. However, it can be challenging to integrate with your in-house CRM if your sales teams are using CRMs such as Salesforce CRM or Microsoft Dynamics, as that integration requires significant tech resources. I would rate my overall experience with MoEngage as a 7 out of 10.

MoEngage is primarily used for campaigning through push notifications and in-app notifications. Additionally, I heavily utilize the flows project that MoEngage launched in 2024 as part of orchestrated campaigning.

A specific example of how MoEngage is used for campaigning involves seller onboarding in IndiaMART. When a seller registers in the IndiaMART app, they complete an onboarding journey consisting of three different steps. If a seller completes only two steps and does not complete the third step, which is the most important step to complete their registration, MoEngage is used to inform the user after a certain time that they have completed two steps and only one step remains to complete the registration. A push notification is sent to the user informing them about the drop-off and encouraging them to complete the registration process as soon as possible in order to use IndiaMART and its features to grow their business.

In addition to push notifications, in-app notifications are used heavily in MoEngage by the marketing team. For instance, if there is a New Year offer on buy leads, which is very important for the subscription model purchased by paid sellers, multiple offers and promotions are shared while the user is using the app. This is an excellent use case for in-app notifications, and good conversions are achieved using MoEngage.

MoEngage's best feature is that it itself functions as an analytics engine. It is not just a notification service provider; it provides features to push notifications, show in-apps, and create flows. Having access to analytics helps in conducting valuable case studies. For example, I can analyze all users who came to the app, viewed the buy lead screen, but did not purchase the buy lead. Having this data allows for analysis of the problems that may have prevented the user from making a purchase. MoEngage's analytics engine is an important feature, along with the flows that allow creation of a complete web based on user journeys.

MoEngage has positively impacted the organization in three ways. First, there has been an increase in notification delivery rate by five to eight percent on Chinese OEMs, which typically have battery-aggressive operating systems. MoEngage has partnerships with these Chinese OEMs, enhancing the delivery of push notifications, leading to better user engagement.

One area where MoEngage could improve is by providing a feature that allows the app to maintain a persistent connection with internal organization servers. MoEngage claims partnerships with OEMs to ensure their processes are not killed when the app is in the background. If this feature were implemented, it could help run background services, engage users who have not been active on the app for days, and collect valuable information.

I have been using MoEngage for about five years.

MoEngage is quite stable overall. Some issues were encountered during the last quarter of 2023 due to GDPR changes implemented by Google, which required MoEngage to alter its architecture. This resulted in a slight dip in delivery rates, but it did not affect any key performance indicators significantly. Overall, MoEngage's performance remains smooth, and their status is consistently 200 OK.

MoEngage's scalability is impressive, as it can easily handle growing workloads and user numbers. With 2.2 million users per month served, this figure is not even close to the peak capacity MoEngage can manage. It can handle millions of users and hundreds of millions of events per month, making it a robust product utilized by many top companies in the market.

I have had positive experiences with MoEngage's customer support. There is a direct way to reach them, and about a year and a half ago, they established a ticketing system for help and support, which I find to be a significant improvement. Tickets can now be raised in MoEngage's help and support section, and communications are reflected in email automatically, making the entire support experience much more streamlined.

My advice to others looking into using MoEngage is to consider whether you are using it on the app side or API side. If using it on the app side, ensure that the unique MoEngage profile is created using the user account rather than the Google Advertiser ID. Using the user account helps in identifying users and reduces the number of profiles created, leading to lower costs. This is a crucial metric that can greatly benefit organizations in their monthly invoices and allow them to achieve more events and reach more users.

Having used MoEngage for five years, I have many thoughts about it. I have observed its ups and downs and the innovations it has undertaken over time. MoEngage's scope as an analytics engine is significant. I am confident that it will provide insights to product managers to improve their products, and I encourage everyone to try it.

Regarding MoEngage's governance and security related to its AI capabilities, I find that MoEngage takes care of every compliance and privacy law, including GDPR compliance.

MoEngage's accuracy and reliability of AI output have met my expectations. For example, when creating campaigns through push notifications or in-app notifications, content is crucial. MoEngage utilizes its Merlin AI to generate campaigns that yield maximum conversions. If data fed into the system contains PII, MoEngage flags it and ensures data privacy. High-performing campaigns have been successfully created using their AI, and there has been a conversion increase of ten to twelve percent compared to previous click rates.

I provide this review a rating of nine out of ten.

My main use case is nudging customers and bringing them to the top of the funnel to improve lifecycle marketing and customer retention. I use it to segment the user base on behavior and engagement, build automated customer journeys, and deliver personalized communications across emails, push notifications, WhatsApp, and in-app channels.

In our use case, we can discuss the option of bill payments. Bill payments is one of our products for which we are taking care. We send different types of push notifications and nudges regarding that, including sticky push notifications, emails, and in-app notifications. We have also been working with WhatsApp and RCS channels to improve efficiency and reduce drop-offs to get better results and conversion.

My main use case would be from onboarding and activating users, as well as moving them through to retention and re-engagement. I use it to build automated journeys and create behavioral segments. For example, if a member has dropped off while about to pay a bill, I nudge them within a certain timeframe, perhaps within ten to fifteen minutes, saying something like, "Oh, you have missed the payment. Are you facing any issues? If not, then please continue with our payments." This has improved customer behavior and has been working for us, improving click-through rates as well as conversions by thirty-five percent.

I have been using MoEngage for around two point six years now, and it is a beautiful tool for nudging customers accordingly. It is quite an effective tool that I have been using.

When I discuss the best features, the segmentations are pretty great. The UI on the platform is quite tremendous. It has also helped us segregate the data when we want to integrate our day-to-day uses for CRM strategy as well as segmentation building. The insights and analytics part is commendable work done by MoEngage. It helps us with day-to-day dashboard creations. There are certain dashboards which we create, and it also maintains the data management side. If we are passing the limit of events, it gives us an alert, which is quite a tremendous thing. The AI support of Merlin is absolutely fantastic. Overall, I am looking forward to utilizing MoEngage more and getting the best use out of it.

There are some areas which I feel MoEngage can improve. One area which I personally feel is on the reporting and analytics part. While the platform provides robust campaign metrics, I would like to see deeper customizations and more flexible dashboards. I would really like to take a step forward here and answer complex business questions without relying on external tools or BI solutions.

Another area is journey management. As an organization scales, customer journeys can become quite complex. Enhanced visualizations would be helpful. For example, if I have created a journey, I need to check whether the rules which I have added or the events which I have added are correct and whether the users which I want are flowing in the MoEngage automated journey. Previously, I used Iterable, and I found a small feature there that was quite useful. They added a MoEngage ID feature where you add an ID and it goes through all the rules which you have added in the journey and visualizes accordingly that a specific user has to flow through that journey. MoEngage does not have a certain setup where you can check if the members are flowing in the journey if you have added that journey and checked the rules. This visualization is missing from MoEngage.

Overall, I think MoEngage is a powerful platform with pretty good analytics and journey governance. The AI is still an upcoming thing, but it has the potential to become even more effective. Enterprise CRM tools are competing with it, but from what I have seen over time, MoEngage is still better than other tools which I have seen so far.

I would like to see more advanced reporting and deeper journey diagnostics as well as even stronger AI-driven recommendations. The platform is already very capable, but these enhancements could improve efficiency and decision-making for CRM teams at scale.

I have been using MoEngage for around two point six years now, and it is a beautiful tool for nudging customers accordingly.

We hardly find any difficulties or downtime in MoEngage, rather than what usually happened in Iterable. I think MoEngage works around the clock and is pretty stable. Our campaigns get delivered properly on time.

In terms of scalability, I have seen MoEngage scale quite highly. One of its strengths is the ability to handle large customer bases, real-time events, and high-volume campaigns executing across multiple channels. That is one of the reasons it is widely adopted by growing enterprise-scale scaling businesses.

Customer support is commendable. The CSM is doing a great job, and I give kudos to the CSM assigned to us. The tickets have been resolved on time. The touchpoint of the customer on our issues is getting pinpointed in barely two to three hours, and it gets a perfect solution to our business requirements. It is quite useful and comes in handy when support comes from customer service.

Previously, we were using Iterable, and we had to switch because we were restricted and not able to send certain types of push notification campaigns. We needed sticky push notifications, colored text, images, and media in push notifications with better segmentation. At that time, I think Iterable was not having the AI engine, but we constantly required that feature. The journey support was better in MoEngage, and the predictive models were stronger. The waterfall model in the analytics part is commendable work done by MoEngage. We also found that the in-app notifications were quite well designed in this setup. These are the few things which led us to switch from Iterable to MoEngage.

MoEngage has been helping us by enabling batch and blast communications to highly targeted and automated customers engaging through behavioral segments and personalized journeys. We are able to deliver more relevant messages at the right time, to the right person, with the right communication. The platform has helped improve key metrics such as activations, retargeting basis, and retention. The automated journey reduces the manual efforts of the CRM team, where we can work on other pieces and get the work done accordingly and act on upcoming products. It also has a very perfect analytics department. Experimentation capabilities have allowed us to continuously optimize our campaigns through A/B testing.

The experience in the pricing, setup cost, and licensing involved some rounds of discussions while we were discussing the cost and all the details. However, our IT team, engineering team, and overall as a CRM manager, I think we discussed internally the things we exactly required, and MoEngage stood out in delivering what we exactly required.

There was a demo which was shared directly with us. We reached out to MoEngage sales team, and they shared a demo with us. We did not use the AWS Marketplace personally, but the sales teams and the integration part of MoEngage team handled what we required while we use MoEngage.

I would not mention the ROI specifically, but I can mention the time saved. The time which we usually took on ad-hoc campaigns has been reduced by using journey flows, which has saved us considerable time. We can now focus on what we should focus upon, which is products and how we can optimize the products from the CRM side. It has also reduced the human effort which we usually draw to using the campaign. It has helped a lot.

There were certain options like CleverTap and Mailchimp, which are options. There is also a tool called Braze, which we were thinking about, but I think it is quite costly. Salesforce was another option, which again was quite heavy operationally. MoEngage worked pretty well for us.

I would say regarding MoEngage capabilities, there are some improvement areas. Accuracy is important to me. In the Hindi region, regarding the content which I have to send to my users, I still feel there is a need for improvement. Whatever content which I share in Hindi still shows me results in English. That is one sad drop which I see. The accuracy and reliability are parts which need to be worked upon. Some parts where the predictive models on the data side should be viewed as decision support tools rather than absolute truth. In my experience, capabilities such as predictive segmentations, churn predictions, and conversion propositions are mostly valuable for prioritizing the targeting. They help me identify highly potential audiences more efficiently than manual methods.

As a CRM manager, I would not blindly trust the AI recommendations. I need to fully verify the data. When I double-verify the data, I could get the accuracy around ninety to ninety-five percent in terms of my data retention and data predictions. I would consider AI as a reliable model, but I would definitely take a step back and double-check the data which MoEngage has been sharing with us to make sure the data which has been shared is real-time data which has been coming to us and been fed. I need to be sure on that.

When I talk about AI capabilities and governance, from my perspective, I would say MoEngage has taken a responsible approach to AI by keeping AI capabilities integrated with the broader customer engagement platform rather than operating a black box system. Features like predictive segmentations and engagement recommendations are generally designed to support marketer decision-making rather than being fully automated. From a governance standpoint, I appreciate that the organization retains control over audience selections and customer communications. Human oversight remains an important part of the process. On the security side, I would expect an enterprise platform handling customer data to have stronger control around access permissions and encryptions when AI features are eventually implemented. I would like transparency around how models use customer data and how permissions have been properly taken. Overall, I would say MoEngage AI is a useful decision support tool, but governance, data privacy, and human review should always remain key components of the CRM.

I would say if you are having a certain audience, my advice regarding the campaign execution tool is that bigger value can be used in building a strong lifecycle marketing program rather than simply sending messages. Before implementing, invest time in defining the customer journey success and building an audience. That is one of the key points. The quality of segmentation and personalization will depend heavily on the quality of the data. I would also recommend starting with a few high-impact use cases such as onboarding and activations or re-engagement journeys and then expanding from there. This demonstrates the value quickly by building the organization. Strong customer data combined with clear lifecycle strategies and MoEngage automation capabilities tend to see the best results.

I would rate this review an eight out of ten.

I send day-to-day campaigns and journeys through email, push, RCS, and other channels to our user base, as well as maintaining event-triggered journeys.

My day-to-day tasks include sending promotional campaigns where I target users who have booked with us previously last year but have not booked with us this year or are no longer booking with us recently. We also use RFM segments to be more precise with our database, identifying users who are looking at our website pages and checking out hotels but are not booking with us. RFM segments help us check which users have been our loyal customers or which have been recent users, which helps us target users more accurately. For journey-based campaigns, we currently focus on users who have already been added to our loyalty tier membership. Once they are eligible, they receive communications based on events that trigger in MoEngage.

I use MoEngage extensively on a day-to-day basis. For example, I send push notifications twice a day, in the morning and evening, to our targeted users. Because it is cost-effective, we try to use it more frequently. I have also used Merlin AI to generate images so I am not dependent on the brand team for that. MoEngage is the main tool I use on a day-to-day basis, and there are many capabilities available. For example, I do promotional WhatsApp campaigns as well as connecting directly through an API to MoEngage.

The best feature I would suggest is the Merlin AI one because it really helps when I just give the prompt and I get exactly what I want. Additionally, the HTML in email campaigns helps a lot. I have used Merlin AI quite frequently for push notifications.

On a day-to-day campaign basis, I believe that not only the retention marketing team but other teams are also using MoEngage. Sending out daily campaigns or using the same format of campaigns saves a lot of time. Connecting with our business partners, vendors, and customers, MoEngage has been a primary tool for sending communications across all of these factors. I think it is helping us very positively right now, and we hope to continue with it in the future.

I have noticed one drawback while doing some emailers. Whenever there is a text-based emailer and I want some design to be the background, I have noticed an issue because it does not align with the images above or below properly, as we have envisioned it. This feedback has already been shared with the team, and I am waiting for an update from them.

There are scenarios where we want to add personalized database information, such as the user's name, past booking hotels, and which city it was, but we need it on that image. HTML does not help with personalization while adding a row background image. We have to keep it solid and cannot use gradients or design-based backgrounds. This is one major drawback I have found in MoEngage, specifically for promotional emailers.

I feel this is the main area that needs work right now. As a retention marketer, I have noticed this issue affecting B2B teams as well as our vendors' communications. We have to use a workaround where we have to use solid backgrounds only if we want to use personalization and nothing else. As a retention marketer where I have to send promotional campaigns three or four times in a single day, every single day, these kinds of features would enhance the user experience significantly. If I am sending a design emailer where I have added personalization to a mobile user, they will see it completely differently than desktop users. I would appreciate if this gets improved as a priority.

If the issue I spoke about earlier had been corrected, it would be a ten out of ten. However, because that issue exists, and there are still features that are quite useful, handy, and time-saving, I would rate it at a nine.

I have been using MoEngage for one year and six months.

I think it is quite secure because I have been working with MoEngage for one and a half years, and the databases and everything are quite accurate. I have not seen any other user facing a challenge. It is the one that we are only asking them to track. If there is any issue, there are always minor issues, and our account manager is always available to contact and get a resolution.

I would say it is not one hundred percent accurate at all times. There has been a situation because of an issue we are facing right now that has been discussed with our account manager. We have been facing issues with duplicate users quite a lot. What happens is that at times we do get incorrect data because one account, for example, I am the user and I have three different accounts. One is my primary account and the other two are duplicate accounts. All three accounts will have different information. I am not talking about phone number or contact information, but rather their tier membership or which was the last hotel they were checking out. Whenever we are sending campaigns, the AI is not able to recognize which is the accurate account of the users. At times that creates an issue.

Our account manager is great and is always available whenever we require help.

Treebo Hospitality Ventures previously used WebEngage, but there they were facing some template or technical issues because of which they switched to MoEngage.

I would say to go ahead and give MoEngage a try. It is actually helpful for us because it has saved our time. We have been able to create journeys in most scenarios. It was quite handy for us. I would rate this review at a nine out of ten.

My main use case for MoEngage is building journeys in the Automation Studio and conducting segmentation work for different types of audiences.

I have used MoEngage for different types of audiences, especially for B2B and B2C, where I segmented audiences based on different sectors such as retail, healthcare, and educational sectors. I had a particular campaign that was supposed to be deployed to all sectors available in the market, using different types of creative content for the same campaign, and I used MoEngage for segmenting the audiences.

MoEngage is an excellent tool for A/B testing of the subject line and A/B testing of campaigns, and I especially use it for audience segmentation. It is a great tool for segmentation and testing, including A/B testing of content, pre-header, subject line, and everything related to campaigns.

In my opinion, the best features MoEngage offers are segmentation and the user-friendly terminologies used for the user experience, which are really great and not confusing like other tools used for campaigns. The terminologies used for the user side are simple to understand, and it is a self-explanatory tool to deploy campaigns, segment campaigns, and handle everything else.

Regarding the segmentation feature, I appreciate that MoEngage is very effective in segmenting a large number of audiences, and it has an automatic filter that recognizes the retail sector. When I use it for campaigns, I use the email IDs of particular individuals, and the individual email IDs are associated with the particular organization or association they work for. MoEngage automatically drags the particular sector email IDs, so if you specify a healthcare sector email ID, it will completely drag the email ID to the healthcare sector, and in a similar way for the educational sector. Millions of emails are segregated automatically based on the sector and are attached to the campaign, which is deployed in seconds.

MoEngage has positively impacted my organization because the delivery rate from MoEngage is really high, and I receive a very low amount of bounce-back rates and undeliverable email IDs because it has an automatic feature of segregating nullable and invalid email IDs. I notice a very minimal bounce-back rate and high deliverability, resulting in a high open rate, as it completely targets the open rate in the inbox.

I recall a specific campaign that was only selected for the healthcare sector, where I achieved a 92% open rate, a 50 to 60% click rate on average, and a bounce rate of just one percent, with undeliverable rates at 0.09%. That was a very significant achievement in my entire career using MoEngage.

MoEngage can be improved because although the platform is really user-friendly, it sometimes becomes slow when I click and enter. In a single dashboard, you can find all the features, and while it is user-friendly, segregating the interface would be really helpful. For example, if I need to go to a journey, I could click on the journey and then place it in the Automation Center or segmentation center. Having this segregation would make the experience better.

I have been using MoEngage for more than two years.

MoEngage is a stable platform for me as it runs smoothly, and I appreciate the customer contact because whenever any bugs are escalated, we receive immediate support.

MoEngage can handle growing amounts of data and users easily, and its scalability is impressive.

I rate the customer support 9 out of 10 because they provide great email support, and if the bug is critical and needs priority attention, we have contact numbers to get in touch with the team.

I have previously used different types of ESPs such as Mailmodo and Mailchimp before switching to MoEngage.

I do not have a specific example of return on investment, but as a Senior Campaign Analyst, I see that whenever reports are circulated across the team after campaigns are deployed, the analysis shows a 30% reduction in OPEX costs. My role is limited to campaign analytics, while the return on investment is handled by a different team.

My experience with pricing, setup cost, and licensing is limited because this is handled by a different department in my organization, specifically the accounts section and sales. They handle different pricing aspects and deals, while I focus on the user experience.

Our sales team is responsible for evaluating options before onboarding an ESP, and I only provide my user experience reporting and pricing details. Factors such as pricing comparison and ROI are handled by a different team, which decides on onboarding the ESP for the organization.

MoEngage is deployed in my organization on a private cloud, and we use Oracle as our cloud provider.

Regarding MoEngage's AI capabilities, I think it is pretty good for creating content for campaign subject lines, and the security is safe. I do not see any drawbacks using AI integrated with MoEngage.

Regarding MoEngage's AI capabilities, I sometimes feel that the answers I get from the AI are completely automated, as I have to provide keywords and frame questions to receive accurate answers. More analysis for specific questions would be really helpful for getting the exact answers I need.

I can definitely say that if you are considering using MoEngage for segmentation and A/B testing of the subject line, pre-header, and campaign body, it is a very nice tool. You do not need to do anything manually. You just have to set up a journey by providing the subject line and pre-header, and then the campaign gets automatically segregated. You just have to set up the journey and click to deploy, and it will be completed.

I think MoEngage is a very smooth platform that really matches the quality of the campaign market nowadays and fits well in the media and market environment. I give this review an overall rating of 8 out of 10.

I primarily use MoEngage for creating cohorts and executing campaigns, as well as creating automation journeys. I identify specific cohorts for products, such as determining how many customers purchased product X in the last six months or twelve months, and how many customers purchased the same product twice within six months. I create these cohorts on MoEngage and use automation journeys for abandoned cart, abandoned checkout, product view, and birthday campaigns. Beyond automation journeys, I utilize MoEngage for overall marketing efforts.

MoEngage offers excellent customer engagement features. For personalization, I can use the customer's name and the exact product a customer was viewing on the website, allowing me to send personalized WhatsApp messages with the customer's preferred product, name, and preferred time of opening the message. These types of automations have been highly effective. Through the automation journeys I created for abandoned cart, abandoned checkout, and product view, I achieved significant customer retention improvements, with my retention rate increasing from fifteen to twenty percent before MoEngage to nearly thirty-five to forty percent after implementation. I measured this retention increase and other positive results by checking the retention rate through Shopify data, confirming that customers return to the website and make purchases. Revenue has increased through the CRM, old buyers generate additional revenue, customer lifecycle value has increased, and this demonstrates how MoEngage has helped the business.

MoEngage could be improved by adding the ability to target anonymous users. When a customer visits the website without providing a mobile number or email ID and views a product before leaving, there is currently no way to target those customers. If MoEngage could add a feature to target anonymous users through WhatsApp, SMS, or email, this would be very impactful.

I have been using. MoEngage for almost two to three years.

MoEngage is stable and performs reliably.

MoEngage has good scalability and can easily handle growth and increased demand. When there are many customers in a single month, it can manage the data effectively.

Customer support is excellent. I have reached out multiple times when executing new campaigns or implementing new personalization features. I would rate customer support as nine on a scale of one to ten.

Previously, I was using WebEngage, but switched to MoEngage because MoEngage offers better personalization, better segmentation, and better cohorts, allowing me to create better analysis and reports.

Monthly pricing was approximately two point five lakhs, which I considered a bit high for the amount of data being handled at that time. The setup cost was acceptable and negotiable, but the monthly pricing was high. Licensing terms are good.

I have seen a return on investment. Previously, customer relationship management was handled manually by three or four people.

Monthly pricing was approximately two point five lakhs, which I considered a bit high for the amount of data being handled at that time. The setup cost was acceptable and negotiable, but the monthly pricing was high. Licensing terms are good.

Before choosing MoEngage, I evaluated other options, and CleverTap is very expensive.

I advise others looking into using MoEngage to leverage its personalization feature, which is excellent, and to use the module that provides better insight into customer behavior. I would rate this review as eight on a scale of one to ten.

My main use case for MoEngage is to drive user engagement via MoEngage campaigns and MoEngage flows feature and also track the user touchpoints across the app since we are a mobile-based company.

A specific example of how I use MoEngage to drive engagement or track user touchpoints is by offering extra savings if customers use the balance they have invested on our app to shop with brands, involving a flow that tracks users from onboarding to brand redemption and incentivizes them along the way.

In a campaign where we have app maintenance every second week, we send one push notification and one email notifying users that the app will not be available for thirty minutes during that specific time, utilizing the campaign feature for this one-time notification.

The best features MoEngage offers, in my experience, include the Flow, which allows me to set up user engagement strategies, as well as Behavior and RFM, which help me understand the funnel setup and target users based on their recency, frequency, and monetization behavior to potentially increase revenue.

MoEngage positively impacts my organization as it is one of the core business activities; my marketing team relies heavily on MoEngage to run campaigns and ongoing flows independently.

I have seen specific outcomes, such as time saved and an increase in redemptions and payments, where using a combination of email, push notifications, SMS, and WhatsApp through MoEngage led to a two percent conversion from a notification sent to around seven thousand users.

While the combinations of Flows, behavioral analytics, and RFM are good, I would also appreciate the ability to record user behavior on screen as a product manager, to analyze what users focus on before making interactions.

I wish MoEngage could provide screen recordings of user behavior, allowing me to define a user's journey through events and see how much time they spend before making decisions, such as from brands onboarding to brand redemption.

Improvements for MoEngage could include providing extra benefits without additional charges while ensuring the AI capabilities are released faster and improved in quality.

MoEngage's AI capabilities could improve, especially in helping me determine how to target certain user groups effectively rather than sending broad notifications to all users.

The accuracy and reliability of MoEngage's AI capabilities are acceptable; they are neither exceptional nor poor.

I have been using MoEngage for about five years.

MoEngage is stable in my experience.

MoEngage's scalability depends on the business requirements and the features desired, indicating it is pretty decent but also reliant on the budget available.

Customer support for MoEngage is good and is one of the reasons we chose to go with them. I would rate the customer support at MoEngage an eight point five out of ten.

We started with MoEngage and have not used any other version or considered moving to another solution in the future. Before choosing MoEngage, we did evaluate CleverTap, which is another popular user engagement tool, but decided to proceed with MoEngage.

With MoEngage, I have realized a return on investment through time saved and fewer employees needed, as only two people actively use it while others track the funnels.

My experience with MoEngage's pricing, setup cost, and licensing indicates they are in line with expectations.

My advice for those considering using MoEngage is to review their educational tutorials; however, MoEngage may not be suited for everyone, particularly those not in marketing or product roles. I have additional thoughts regarding MoEngage, particularly my interest in how they utilize their newly deployed capital. I would rate this review an eight out of ten.

My main use case for MoEngage is for sending communications to our target users.

I have primarily executed three kinds of CRM campaigns on MoEngage for sending communications to our target users. One is emails, then I have done push notifications, and I have also integrated WhatsApp. We have done different campaigns for various scenarios. For example, with a fintech brand, when a user signs up and has not completed verification, we send a specific flow of communications or a specific sequence of messages. It could be one-time, it could be automated, or a combination of all.

MoEngage has been very useful, and I have had the opportunity to try out many features.

The best features MoEngage offers include a very good support system, which has always been responsive whenever I have faced any kind of issues. Issues get resolved quickly.

Beyond support, I find the flow part of the campaign automation particularly valuable. It is really good because it is a one-time setup and the success rate is also really great.

MoEngage has positively impacted my organization by helping us improve our retention from approximately 40% to 70% and activation from 9% to 33%.

MoEngage contributed to those improvements in retention and activations mainly by targeting the target audience and trying to target people who have not opened the campaign yet, having those attributes and features on MoEngage that help us make our campaigns successful. The fact that we could add specific campaigns that are created by us through the backend to MoEngage is also something that is really great.

So far, I have not faced many issues with MoEngage. It would be great if you could improve the impression rate of push messages, but I know that is not within your control.

What makes MoEngage just shy of a perfect ten for me includes slight things that could be improved, such as the impression rate. Additionally, when I download the report, it has a lot of unwanted content that is not necessary. That could be one area for improvement.

Regarding MoEngage's AI capabilities, I think there is something to improve. I have not used that much, so I am not the right person to comment on it comprehensively. MoEngage's AI is in a beta version, and there are probably some features to improve. AI is not there yet, in my personal opinion.

I have been using MoEngage for about two years.

MoEngage is stable.

MoEngage's scalability is great and has a lot of potential.

The customer support is a ten out of ten.

I rate customer support at ten on a scale of one to ten.

I did not previously use a different solution on a larger scale. However, I have tried Mailchimp, but on a larger scale, it has always been MoEngage.

I have seen a return on investment with MoEngage, and it has helped us tremendously and improved our business significantly.

MoEngage improved my business by improving retention from 40 to 70% and activation from 9 to 33%.

My experience with pricing, setup cost, and licensing is good.

I evaluated Mailchimp before choosing MoEngage, but I prefer MoEngage more.

My advice for others looking into using MoEngage is to use it and have fun. I would rate this review at 9.5 out of 10.