When deciding on what kind of subscription you should use or what offers to show, you’re often left blindsided. Would introductory pricing work better than a trial? What if you shorten your trial to just 3 days? Recently, I’ve been trying to wrap my head around these questions, and after some time considering different approaches, I’ve decided to create a framework based on the value a regular user sees in apps across a whole array of verticals.

As publishers are looking for new revenue streams, pricing is often neglected. Most of the current pricing methods rely either on surveys, segmentation, or consulting approaches (which are over the budget for most of the smaller developers). There are also dynamic purchase predictions, which are fast, but not very reliable because they depend on black-box algorithms (Firebase predictions) or e-commerce based RFM analysis, which is not very helpful for most apps (like CleverTap’s RFM).

You’ve been in the app business for some time now. You’re doing ASO, CR, Retention Optimization, Ad-Revenue Optimization and the likes. But did you miss something? Yes, probably. Somewhere between Product, Marketing, and your Devs lies App Subscription Pricing, which can bring you additional revenue for no additional costs.

App Stores suck. At least when you want to know how to monetize better. Ever wondered how much could you make if your subscription price was $17 instead of $13/month? Or just wanted to test how people in Japan will purchase a 7-day trial period with yearly subscription?

What do you use to track your product and marketing growth experiments? If you’re serious, you probably track it somehow. In Sheets, an internal knowledge base, or simply leaving it as it is in each A/B testing platform. It’s cheap and if you do less than, say, 50 experiments per year, it’s probably fine.

High churn rates are a common problem in the mobile app world. Some users may abandon your app because of bad user-experience. Some might simply forget about your app. Sometimes, you just don’t know.