Personalization Customer Success Marketing Automation CRM

DataBrain

Proactive Customer Success for hyper-growth startups

Wraps your unified customer data record and predicts churn, conversion and retention and sends alerts when key metrics change to help you save money and time.
Leverages Machine Learning to generate a Customer Health Score that’s proactive and also evolves with product and user behavior changes.
Monitors user behavior, subscription and billing information and many more.
Leverages customer data across multiple tools to provide outlier detection when churn like behavior occurs including product usage, subscription and billing information, CRM conversation, support, tickets and more.

How DataBrain works

DataBrain is a fully data driven tool that helps fast growing startups to proactively manage their customers. DataBrain leverages the power of Machine Learning to proactively alert you when churn like behavior, retention or conversion occurs in your app. You can leverage our 1-click integrations with several tools and send data to DataBrain.

Get weekly or monthly alerts for at-risk accounts. View overall health of all your customers broken down by health score.

Get a list of users that are at-risk of churning. We predict who is likely to cancel or who is likely to stop using the product.

Automatically group users into clusters based on propensity to perform any action, likely to churn or likely to convert. Specifically target clusters of users via email or send NPS surveys.

Get more out of DataBrain with Segment

Using Segment makes it easy to instrument product usage data that helps DataBrain analyze user behavior. By simply signing up for DataBrain you can integrate Segment in our integrations page and start piping data immediately to us. We process data real time and will provide insights like segmentation and correlation from your data and display it in our dashboard. You need not hire a developer, a data scientist or write custom code to start getting value from our tool.

We also have capabilities to handle historical data imports of Segment data.This helps us cross reference our insights with past data thus improving the accuracy of our algorithms immensely by helping us train our models faster.