How He 3X’d Install-to-Paid in a Niche Fitness App Category

In this episode, we break down a real app growth case study with Michael Durst, Founder of FaithFull AI Nutrition Tracker, focused on helping users improve their health through AI-powered tracking and smart insights.

Michael will share the real strategies he used to increase his app’s install-to-paid conversion from 2.25% to 6.81% in just 6 months. This is a deep dive into the exact strategies, experiments, and psychology behind that growth, including onboarding, A/B testing, paywalls, and Meta Ads.

If you want to increase revenue without increasing installs, this is the playbook

You will discover:

✅ The onboarding system that helped 3X conversions

✅ A/B testing frameworks that impact real revenue

✅ Paywall optimization: pricing, framing & positioning

✅ Why small tweaks can lead to massive growth

✅ Meta Ads strategies that bring in high-converting users

✅ How to align ads → onboarding → paywall for better LTV

Learn More :

Website:

www.faithfull.ai

LinkedIn:

https://www.linkedin.com/in/michaelkdurst/

Instagram:

https://www.instagram.com/mike.k.durst

Work with us to grow your apps faster & cheaper:

https://www.appmasters.com/

You can also watch this video here:

https://youtube.com/live/4JtMp7Hkwb8

*********************************************

SPONSORS

Want to know what ads your competitors are running right now?

SocialPeta gives you access to real ad creatives and market insights across apps, games, and emerging content formats, so you can stay ahead without endless trial and error.

Check it out at

https://www.socialpeta.com/

*********************************************

Ready to take action? Start exploring AppsFlyer's deep linking suite -  coming soon as a standalone solution, independent of their measurement packages → ⁠

https://bit.ly/46O7Wgd

*********************************************

Follow us:

YouTube: ⁠AppMasters.com/YouTube⁠
Instagram: ⁠@App Masters
Twitter: ⁠@App Masters
TikTok: ⁠@stevepyoung⁠
Facebook: ⁠App Masters⁠

*********************************************