Rakam

A warehouse-native product analytics tool to understand user behaviour and identify points of friction in the user journey.

Product Analytics

What need does Rakam fulfill?

Rakam addresses the need for a product analytics tool that natively integrates with a data warehouse. It allows data teams to build models on top of the data that is already available in the warehouse, enabling product, marketing, and growth teams to explore the modelled data using a visual interface.

The visual querying of data generates SQL that runs on your existing data warehouse without ever moving the data out of the warehouse. Rakam also supports CDI solutions like RudderStack, Segment Connections, and Snowplow, and offers reporting features similar to those offered by popular product analytics tools.

What are the benefits of using Rakam?

  See how your product is used to understand user behaviour
  Identify points of friction in the user journey
  Find common usage patterns amongst the most engaged users

What are the core features of Rakam?

  Funnel, Flow, and Retention Analysis
  Segmentation and Cohort Analysis
  Support for the Data Warehouse as a Data Source
  Support for dbt as the Data Modelling Layer

Which teams does Rakam cater to?

Product
Growth
Marketing

Authored By

Emre Semercioglu's profile on Data-led Academy

Emre Semercioglu

Product & Growth at Rakam