Case Study: Welmi.ai scales MRR from $60K to $200K with Adapty Attribution

A Adapty Case Study

Preview of the Welmi.ai Case Study

Welmi.ai scales MRR from $60K to $200K+ in 3 months with Adapty

Welmi.ai, a health and fitness AI app, faced significant growth constraints due to its fragmented infrastructure. Their attribution platform, Adjust, was costly and inflexible, preventing profitable testing on low-cost traffic channels and creating data silos that blocked a unified view of their revenue funnel. This pricing and agility problem was limiting their scaling ambitions.

By implementing Adapty Attribution, Welmi.ai unified its attribution and revenue stack into a single platform. This solution provided real-time ROAS tracking, customizable analytics, and a more favorable pricing model. As a result, Welmi.ai halved its attribution costs, achieved zero accuracy loss, and scaled its monthly recurring revenue from $60,000 to over $200,000 in just three months.


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