The industry repeats this like a rule. The data breaks it. In Productivity, direct buyers are worth $56.95 vs $49.13 for trial users. In Lifestyle, it’s even wider: trial users end up 21% less valuable than direct buyers. Trials are a quality filter in some categories and a churn magnet in others.

The question founders should ask is not “should we offer a trial” but “what does a converted trial user look like in our category compared to a direct buyer.” If you’re in Productivity and you’re pushing trials hard, you might be actively acquiring your worst subscribers.

Pricing is one of the most important growth levers for any subscription business. I’ve consistently seen pricing optimizations accelerate revenue growth by 5-15%, and yet many startups continue to get pricing wrong, often by undervaluing their subscriptions. Adapty’s report highlights why this is such a big mistake:

• Median subscription prices grew by 7-10% from 2023-2025, with annual subscription plans seeing the most significant increases
• “High-priced” subscriptions drove 1.5-5x more Revenue per Install (RPI) vs. “low-priced” subscriptions, despite generally having lower subscriber conversion rates

AI has made pricing optimization more important than ever for two reasons:

• Vibe coding has led to a flood of new apps, making strong unit economics essential for sustaining distribution through increasingly competitive ad networks and app stores
• Developers of AI-powered apps need to ensure ARPU is high enough to offset the non-trivial underlying costs of supporting features that depend on LLMs

All of this indicates that app developers should be making pricing optimization a top priority. This means using statistical techniques like Van Westendorp and Gabor-Granger to better understand underlying user willingness to pay, not just overall but for specific user segments, and ultimately A/B testing different prices in the product to understand which perform best.

It usually isn’t.

In my experience, conversion is really a belief problem.

By the time someone reaches a paywall, three questions are already floating around in their head: will this actually work for me, do I understand how to use it yet, and do I trust this company enough to start a billing relationship?

A lot of apps show the paywall before those questions are answered. When that happens, the paywall becomes a moment of doubt rather than momentum.

The apps that convert well tend to do something different. They create a small experience before the paywall that proves the product is useful. That might be a quick win, personalised results, visible progress, or simply showing the user something that feels tailored to them.

Where teams lose conversion is usually earlier than they think (77% of people will never come back to your app after the first day). I often see onboarding flows that explain the product features instead of letting people experience it.

The best products also introduce a bit of positive friction. They slow things down just enough to ask a few questions, understand what the user wants, and shape the experience around that. It builds trust and gives the product enough context to show something genuinely useful.

Timing matters too. A paywall that appears before any progress creates skepticism. One that appears right after progress feels like continuation.

Where teams get into trouble is when they treat conversion like a pure funnel metric. Move the paywall earlier. Add discounts. Push harder.

But if you ask someone to commit before they trust you, you’re building a fragile business.

Once someone feels progress, understands the value, and trusts the product fits their life, the paywall stops feeling like a decision. It just feels like they're continuing their journey.

• The top 10% of apps now capture 94.5% of all subscription revenue (up from 92.7% two years ago)
• 31% more apps launched in 2025 while median revenue per new app dropped 22%

But there’s still hope for challengers. Pick a specific niche within a competitive category and experiment with monetization to find your unlocks: base pricing (more than discounts), plan durations (particularly weekly) and trial/no-trial (watch retention closely). It’s not all about monetization tactics, though: don’t forget the key roles of onboarding/messaging and product iterations.

With AI lowering the effort required, consider localizing for growing markets like Japan (not the easiest localization!), Mexico, and Turkey. If you do, optimize your paywall and pricing accordingly.

That number hasn't really moved. Which tells me the industry has figured out that trials work — but hasn't fully figured out why.

Here's what I find interesting: 90% of trial starts happen on Day 0. The user opens the app, hits the paywall, and decides in that moment. There's no 'I'll think about it and come back.' And yet most onboarding flows are built like the user has all the time in the world. They don't. That first session is pretty much the whole game.

The discount thing is worth mentioning too, because it surprises people. Nine in ten subscriptions sell at full price.

Discounts are still rare — only 14% of Education apps use them, and that's the highest of any category. Utilities barely discount at all. However, I've seen discounting work when timed well. The best time to offer a discount is when a user is most likely to convert but needs a little push to get over the hurdle.