Tim Bornholdt
In an era of subscription overload, apps with subscription revenue models have their work cut out for them acquiring (and retaining) subscribers. That’s why Dan Burcaw founded Nami ML, a machine-learning company focused on helping app developers grow mobile subscription businesses by reducing churn and focusing on the core user experience. Dan joins the show to share his insights on the plight of a subscription-fatigued economy, how data collection and user privacy don’t have to be enemies, and how the app landscape has changed since the launch of the App Store in 2008.
In this episode, you will learn:
- Why the subscription era exists and why subscriptions are difficult for digital product owners to manage
- How subscriptions help freemium apps find their best users
- How on-device machine learning works compared to traditional machine learning
- Why privacy-friendly products are the future
- Examples of mobile-first apps doing subscription models well (and not so well)
- What makes something complex to develop
- How the App Store has evolved since inception and its influence on the app ecosystem
This episode is brought to you by The Jed Mahonis Group, where we make sense of mobile app development with our non-technical approach to building custom mobile software solutions. Learn more at https://jmg.mn.
Recorded February 8, 2021 | Edited by Jordan Daoust | Produced by Jenny Karkowski
Show Notes:
