Learn how Tinder uses Interana's behavioral analytics for product development, improving the matching algorithm, and measuring marketing campaigns to deliver the best experience to their tens of millions of users.

Read this case study to learn how Tinder uses Interana to:

  • Segment users by specific behaviors, characteristics, or demographics to improve its recommendation algorithm resulted in an increase quality of its matches.
  • Correct usage issues by developing and testing new features to ensure Tinder was engaging to everyone.
  • Measure the impact of new features, like Tinder’s “Super Like”, across different cohorts of users for insights into adoption, engagement and user experience.
  • Bonus: Learn about their struggles to get the behavior-based insights from Hadoop to develop the right strategies to make Tinder the best social discovery application to its users.
Tinder Case Study

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Tinder empowers users around the world to create new connections that otherwise might never have been possible. They build products that bring people together.