2/ At @MobileAnalytics.io we don’t just track vanity metrics. We help you see who sticks, pays, and grows with you.

Growth starts where the right users are. 🚀

You can see all of this in @MobileAnalytics.io in under 5 minutes.
Which one of these have you ignored for too long? 👀

3. Track conversion rates the right way.

2. Focus on the right market.

1. Optimise pricing tiers.

2/
📅 All the presets you need - every time range you might want, ready in one tap.
🎯 Custom ranges - see the exact dates you care about, no limits.

Faster comparisons. Quicker insights.
More time acting, less time picking dates.

🎥 See it in action:

Once the right plan is winning, keep momentum by improving what brings users in - and keeps them coming back.

- Prioritise what moves the needle most, only then revisit your plans occasionally with short tests. User sentiment toward short vs. long plans changes over time, and so do habits.

4. Avoid tunnel vision
- The plan and paywall are just one lever in your growth machine
- Onboarding, retention hooks, upgrade prompts, feature education, share mechanics - all could be your next big win

3. Make the winner obvious
- Put it first, larger card, higher contrast, de-emphasise others
- Add “Most popular” badge, show effective monthly % saving
- Preselect the plan, move others under “More options”
- You want to use every tool in your arsenal to help choose the “right plan”.

- Bend the rule: if your app grows via sharing, a slightly lower - LTV plan with much higher adoption can be the better bet
- Define a minimum acceptable LTV with a clear payback window

2. Check lifetime value (LTV)
- Look past conversion: do these customers renew more, refund less, and stick around longer?
- Rule of thumb: favour the plan with the highest LTV

1. Confirm it’s real
- Aim for 1,000 installs seeing the paywall
- At least 100 paid conversions on the top plan
- Smaller app? Go by time - watch it for 2 weeks before calling it

3/ Know what’s working. See where revenue is coming from. Understand how changes impact real users.

When your data makes sense, your decisions do too.

2/ Too often, we’re flying blind trying to figure out what to prioritise. Or worse, buried in spreadsheets with no actionable takeaways.

That’s why we built Mobile Analytics to turn raw AppStore data into clear, actionable insights.

3/ We extract the available data and present it in a way that makes sense.
Because dev time is precious. And you shouldn’t need to rebuild your app just to understand it.

2/ With Mobile Analytics, there’s no SDK, no code changes, and no waiting.

Just connect your App Store account and instantly:
📈 See how your app is performing
📊 Track trials, subscriptions, and revenue
🔎 Spot real trends across all countries and apps