CleverTap lets you build reports to understand the impact of your campaigns on your users. You can use these reports to analyze your user engagement and guide product decisions.
We have two categories of reports:
- Dashboards: These are pre-built dashboards to help you answer general questions about your app usage.
Uninstall View Example
The Uninstall View can show you how many users recently uninstalled your app.
- Analytics: These are custom analytics to help you answer specific questions about your app usage and business metrics.
Funnel View Example
The Funnel View can help you understand cart abandonment by analyzing the drop-off between the number of users who added an item to their cart to the number of users who completed the cart checkout process.
The various dashboards include:
The Today View gives you a snapshot and trend analysis of your active and engaged users and their activities in your application across your apps and website.
Mobile App View
The Mobile App View provides various metrics related to app usage, user retention, engagement, and conversion across mobile platforms.
The Uninstalls View presents data on the number of users uninstalling your app, the number of new activations (first-time app launches), and the net number of new installs.
The Revenue View tracks customer purchases.
The various analytics include:
A funnel is a way of grouping users who take a specific event in your app and comparing how many of those users go on to take a second event in your app in a specified period of time.
Funnel Analysis Example
You might construct a funnel analyzing the users in your app who added an item to cart, then went on to complete the cart checkout process.
For more information, refer to Funnels.
Cohort analysis is a way of grouping users who perform a certain event in your app and tracking their behavior over time. Cohorts are commonly used to understand user retention or churn by measuring how long it takes users who have launched your application to come back and launch it in a subsequent time.
With the flexibility we provide, you are able to create a cohort of users based on any event in your system and measure the time it takes them to perform any other subsequent event.
Some examples include:
- First App Launch to next App Launch (retention).
- First App Launch to Purchase (initial conversion).
- Video Played to next Video Played (engagement).
For more information, refer to Cohorts.
Trends analysis is the process of comparing events over time to identify patterns.
Trend Analysis Example
Identifying and analyzing event patterns in your app can help you assess how well you are doing in encouraging specific user behavior over time.
You can use the Trends View to see trend analysis on specific events in your application. You can also filter by specific properties of those events, user attributes, or device models.
For more information, refer to Trends.
The Pivots analysis tool summarizes your data and helps you slice it and dice it with the help of tables and other data visualizations. A pivot analysis is especially useful when you are dealing with a large volume of data as it can create incisive summaries and view custom reports to gain insights.
A pivot analysis helps answer questions, such as:
- At what time of the day and which categories of my products are selling best?
- In which city are my sales for Nike Shoes the lowest?
- How many minutes of sports content do my platinum customers consume each day of the week?
For more information, refer to Pivots.
Flows let you understand all the ways a user navigates through your app giving you a broad view of the common paths users follow as well as where they get stuck.
Flows provides you with three convenient modes of analysis to determine:
- What users did after a starting event (such as Launching the App)
- What users did before an ending event (such as App Uninstall)
- How users perform a specific (selected) set of events
For more information, refer to Flows.
For further information, you can watch the following video on analytics and insights:
Updated 8 days ago