Integrating every data source helps dating services improve retention


Dating services live and die on the quality of their recommendations. A great way to improve match quality is by performing cohort analysis according to acquisition channels; even down to specific campaigns. This allows dating apps to serve up pre-qualified sets of active profiles to new users based on the campaign they responded to, dramatically improving both the  initial experience and long term retention. 

But it’s only possible when all your data is integrated and accessible in a single source of truth.

Learn about Tailoring Recommendations, Custom Analytics and Spam Prevention in this impactful case study.

Learn How to Improve Retention

What our customers are saying

Susan Holcomb

Susan Holcomb

Head of Data Science

“In the early stages of data analysis, running many queries to understand data is important. Treasure Data has been great for that. The only tool that provided the flexibility we needed.”

Ted Cardenas

Ted Cardenas

VP of Marketing, Car Electronics

“The partnership with Treasure Data was really about the scale...Treasure Data became involved over the past year as we expanded considerably the number of vehicles we have out there collecting this data, and Treasure Data was important as we increased the market size from five or six years with tens of thousands of vehicles to now millions of data points.”

Danny Zhang

Danny Zhang

Co-Founder

“Our engineers no longer worry about maintaining analytics infrastructure... Instead, they focus on how to use the logged data to make our products better.”