Case Study: MentSpot boosts user engagement and retention with Stormly

How MentSpot made it's product more engaging by implementing a recommender model

MentSpot used Stormly’s AI-powered analytics to make its advice platform more engaging and intuitive. The company wanted to keep users coming back more often, and it focused on understanding what behaviors were linked to better week-2 retention.

Using Stormly’s online recommender and A/B testing tools, MentSpot deployed a model that personalized mentor recommendations based on factors like time of day, device, location, and other signals. The result was an 18% higher conversion rate for users shown personalized recommendations versus randomly selected mentors, helping improve retention and engagement.

MentSpot