Securely integrate PostgreSQL with CleverTap
With more than 15 years of active development, PostgreSQL has become one of the most powerful open source object-relational database systems available.
CleverTap allows users to analyze both business analytics and user engagement on one single platform. This gives CleverTap users insight into app user activity, allowing them to see where users have taken action, what information they find compelling, and where they drop off. This information can help businesses improve their long-term strategies, running clever campaigns, sending personalized push notifications, and creating both triggered and scheduled marketing campaigns.
Popular Use Cases
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CleverTap's End Points
Gather data about cohorts, or groups of users who have taken certain actions in your app. Measure retention, engagement and a variety of business metrics for a cohort of users on a daily, weekly and monthly basis.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather segmentation data that is filtered based on an array of properties, such as past behavior and profile attributes. Then, use that filtered data to get deeper, more detailed analytics into your product performance or to reach users with personalized, contextualized messaging.
CleverTap People Analytics
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
CleverTap API Endpoints
Use CleverTap’s APIs for events, user profiles, dashboard counts and push notifications to filter your data and gather key insights.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, feed that data into your analytics to provide a more comprehensive view of your retention trends over time.