What is our primary use case?
My main use case for using CleverTap as a product manager is to drive user engagement, retention, and lifecycle optimization through data-driven insights and personalized communication. In the product ecosystem, CleverTap serves as a central platform to analyze user behavior and translate those insights into actionable engagement strategies. We use it extensively to track key user events across the product, such as onboarding completion, feature usage, drop-offs, and transaction patterns, which helps me understand how users interact with different parts of the product.
One of the core use cases is advanced user segmentation. We create dynamic cohorts based on behavioral patterns, engagement frequency, and lifecycle stages. This allows us to design highly targeted campaigns, for example, the onboarding flow for new users, feature adoption nudges for partial engagement users, and re-engagement campaigns for dormant users.
I can provide a quick example of how we use CleverTap in practice. A realistic, product-driven re-engagement campaign example demonstrates our typical usage. Our use case is the re-engagement of dormant users. One of the most impactful campaigns we run using CleverTap focused on re-engaging users who had become inactive after initial onboarding. We observed that a significant percentage of users were dropping off within seven to ten days after sign-up. While they completed the onboarding, they were not constantly returning to use the core features of the product. This was directly affecting our retention and long-term user values.
First, we identified the target segment. Using CleverTap's segmentation capabilities, we created a cohort of users who signed up in the last thirty days, completed the onboarding, and had no activity for the last seven days. We further refined this segment by analyzing the last active actions, which helped us understand where users were losing interest. We then researched behavioral insights. From CleverTap's event and funnel analysis, we discovered that many users drop off after exploring only one to two features. A key feature had very low adoption, and users who engaged with that feature had significantly higher retention rates. This insight shaped our entire campaign strategy.
Finally, we delivered measurable improvements, including an increase in the reactivation rate among dormant users. We saw a significant uplift in feature adoption for the target features and an improvement in fourteen and thirty-day retention metrics. The campaign was fully automated and required minimal ongoing manual efforts, making our features highly scalable.
How has it helped my organization?
We have seen a positive impact on our organization, especially in how we approach user engagement, retention, and product decision-making. One of the most measurable outcomes that has improved after using CleverTap is early-stage retention metrics. Before using CleverTap, we had limited visibility into why users were dropping off after the onboarding. With its behavior analytics and segmentation, we identified key drop-off points and implemented targeted interventions, such as onboarding nudges, feature discovery campaigns, and re-engagement workflows. As a result, we have seen a noticeable increase in Day Seven and Day Thirty retention along with a reduction in dormant users.
CleverTap has also helped us significantly improve the feature adoption rate, which is critical from a product perspective. By identifying users who had not explored certain high-value features, we were able to trigger contextual in-app messages, send personalized recommendations, and guide users through key functionalities. This has led to a higher percentage of users engaging with core features, which directly contributes to long-term retention and product stickiness.
We have also seen a major shift in how we make product decisions. Instead of relying on assumptions, we can now use funnel analysis to identify friction points, cohort analysis to measure retention trends, and event tracking to understand user behaviors. This has enabled faster and more confident decision-making, reducing the time spent on guesswork and increasing the success rate of our product initiatives.
What is most valuable?
The best features CleverTap provides us are advanced user segmentation, behavioral analysis, and real-time personalization with trigger-based campaigns.
The first feature is advanced user segmentation because it is one of the strongest capabilities of CleverTap. Its granular and dynamic segmentation engine has allowed us to group users based on their behaviors, demographics, properties, and real-time activities. For an instant example, we create a segment of users who signed up in the last seven days but did not complete a key action and target them immediately. CleverTap supports real-time and psychographic segmentation, enabling highly personalized engagement strategies. From a product standpoint, better segmentation equals better personalization, and better personalization equals higher retention.
CleverTap also provides a great feature of behavioral analysis. It provides robust analytics tools such as funnels, cohorts, trends, and event analysis. These features help us understand where users are dropping off, which features are driving engagement, and how different user groups behave over time. From a product manager's perspective, this is extremely valuable because it turns assumptions into data-backed product decisions.
The last feature is real-time personalization and trigger-based campaigns. CleverTap enables us to act on live user behavior. We can trigger a message immediately after a user drops off, recommend features based on recent activities, and send reminders based on inactivity. These real-time capabilities ensure that engagement is contextual and timely, which is far more effective than batch campaigns.
Out of these features, advanced user segmentation has helped me the most because it directly influences almost every product and engagement decision we make. As a product manager, segmentation is essentially the foundation layer for everything else, whether it is analytics, personalization, or campaign execution. In CleverTap, we use segmentation daily to break down our user base into meaningful and actionable cohorts instead of treating all users the same. For example, we continuously work with segments such as new users who have not completed the onboarding, power users who engage frequently with key features, dormant users at risk of churning, and users who performed a specific action but did not convert. This level of granularity allows us to prioritize product decisions and engagement strategies more effectively.
In practical terms, advanced segmentation helps us make better decisions. Whenever we analyze a feature or a drop, we do not look at overall metrics; we look at specific user segment trends. For instance, if a feature adoption rate is low, segmentation helps us answer questions such as whether the issue is with new users or only with existing users, whether it is limited to a specific geographic or device type, or whether there are certain behaviors leading to higher adoption. These questions allow us to move from generic assumptions to precise and data-backed insights.
For how long have I used the solution?
I have been using CleverTap for the last one year.
What do I think about the stability of the solution?
In my experience using CleverTap, it is quite stable. We have not experienced any downtime. CleverTap has been largely stable and reliable, especially for day-to-day operations such as campaign execution, user segmentation, event tracking, and dashboard reporting. We have not experienced any major prolonged outages that significantly disrupted the business operations of our organization.
What do I think about the scalability of the solution?
From a product manager's perspective, CleverTap handles growth quite effectively when implemented properly from the start. It is highly scalable and well-suited for growing products, whether moving from thousands to millions of users. Its architecture is designed to handle millions of users and real-time events, high volume of campaign delivery, and large-scale behavioral data processing. In my experience, it is quite scalable. We have not experienced any downtime, and it can handle growth and increasing users with ease.
How are customer service and support?
My experience with the support team is quite good. They are knowledgeable and always happy to help us. One point that stands out is that CleverTap does not provide only basic support. It offers a dedicated customer success structure, which includes onboarding managers, customer success managers, and technical account managers. They also provide implementation guidance, strategic advisory, and training in webinars. This structural approach helps the team get up to speed faster and extract value from the platform. They are very responsive with day-to-day support. The support team is generally responsible and knowledgeable. They are helpful in resolving common issues related to campaigns, segmentation, and integration. From my experience, the support team is quite supportive for our issues.
Which solution did I use previously and why did I switch?
As a product manager, I have previously used different solutions. I have used a combination of multiple tools rather than a single unified platform. Previously, my stack included a product analytics tool and a separate engagement platform for push notifications and emails. The challenges with our previous approach were that user behavior was scattered across different tools, and it was difficult to connect behavioral analytics with engagement actions. Decision-making often required manual data manipulation. These challenges prompted me to switch to CleverTap to overcome these issues.
How was the initial setup?
CleverTap's pricing is primarily based on monthly active users, data points, and events tracked, along with add-ons and channels. For example, in my company, which is a startup, the plan can start around seventy-five dollars per month as a rough idea for smaller monthly active user tiers, but pricing scales significantly as the user base and usage grows in my organization. CleverTap uses a tier-based licensing system rather than strict per-seat pricing. The team can allocate user tiers, and billing is calculated based on average monthly usage of licensed users. For example, if usage exceeds the allocated tier, it moves to the next pricing tier. This provides flexibility, but it also means that the organization needs to actively manage user access and usage to stay within the budget.
What about the implementation team?
We use public cloud to deploy CleverTap.
What was our ROI?
We have seen clear measurable return on investment after implementing CleverTap, both in terms of revenue impact and operational efficiency. From our internal observation, we have seen a double-digit improvement in retention, roughly a ten percent to fifteen percent uplift, and an increase in feature adoption directly contributed to higher user lifetime values. Re-engagement campaigns helped recover a portion of otherwise churned users. These improvements translated into better conversion rates and more consistent revenue growth. From an industry perspective, this aligns with broader findings of organizations using CleverTap. Our organization has reported improvements of up to thirty percent in customer retention and around a rough estimate of a thirty-five percent increase in conversion rates, with even a five hundred sixty-one percent overall return on investment over a compositing study period. Campaign creation and execution time reduced by roughly thirty to forty percent, and the team can now launch and optimize campaigns much faster. We have also saved around eight hours per day on campaign operations due to automation.
What's my experience with pricing, setup cost, and licensing?
From a product manager's perspective, CleverTap follows a usage-based and tier pricing model, which is fairly standard for customer engagement platforms, but it comes with both advantages and some complexity.
Which other solutions did I evaluate?
Before choosing CleverTap, I evaluated other options. The other options I evaluated are Mixpanel, WebEngage, and Firebase Analytics. Each of these platforms has strong capabilities, but they differ in terms of how well they balance analytics, engagement, and ease of use.
What other advice do I have?
My advice to those looking to use CleverTap is to start from basics. Approach CleverTap not just as a marketing or engagement tool, but as a strategic product growth platform. Before implementation, spend time defining key user events, important user properties, and success metrics aligned with product goals. Create a well-structured tracking plan to get better insights, more accurate segmentation, and more effective campaigns. Fixing event structure later can be complex, so getting this right early is critical. Also, define the product user journeys and key performance indicators. I would rate my overall experience with CleverTap as an eight out of ten.
