Case Study: Crunchbase improves user targeting and product insights with Heap by Contentsquare

Crunchbase uses Contentsquare to cut tracking deployment from 3-4 weeks with automatic product analytics

Crunchbase, a major platform for company and investment data, struggled to understand how users interacted with their site. Their previous analytics tools, including Google Analytics, required lengthy manual tracking processes that took weeks to implement and were unreliable. This gap in user behavior data hindered their marketing and product teams from effectively driving engagement and optimizing their platform. They turned to Contentsquare's Heap product analytics service for a solution.

By implementing Contentsquare's Heap, which automatically tracks all user behavior, Crunchbase gained a complete dataset without needing constant engineering support. The solution provided meaningful user segmentation, revealed unknown user behavior patterns, and became a single source of truth for the entire team. As a result, Contentsquare enabled Crunchbase to rapidly optimize product usability, design effective user flows, and build targeted marketing campaigns that better convert.

Crunchbase