Data is everywhere. App Store Connect has dashboards. Every social platform has its own analytics tab. If you're spending more time staring at graphs than actually improving your app or your content, something's off.
Here's how to cut through the noise and focus on numbers that actually tell you something useful.
The Two Data Streams You're Working With
When you're promoting an iOS app, you're dealing with two separate worlds of analytics:
- App Store Connect data — what happens after someone finds your app (downloads, revenue, retention, reviews)
- Social media metrics — what happens with the content you're publishing to promote your app (views, likes, comments, shares)
These two streams answer different questions. Mixing them up — or only watching one — is where most app creators go wrong. You need both, and you need to read them separately before drawing any connections.
What to Actually Track in App Store Connect
App Store Connect surfaces a lot of numbers. Most of them are interesting. Only a few are genuinely actionable.
Downloads over time — This is your headline metric, but don't just watch the total. Watch the shape of the curve. A spike followed by a drop is a different story than slow, steady growth. Spikes usually trace back to a specific event: a feature, a post that went viral, a press mention. Flat lines tell you your organic discovery needs work.
Proceeds and revenue trends — If your app has paid tiers or subscriptions, track revenue alongside downloads. A week where downloads doubled but revenue stayed flat could mean a pricing issue, or that a different audience is finding your app. Either way, it's worth investigating.
Subscription data — New subscribers, renewals, and churn. Churn is the one most app creators ignore until it becomes a crisis. If you're losing subscribers faster than you're gaining them, no amount of social promotion fixes that. This is a product problem first.
Customer reviews — Not a pure analytics metric, but review velocity (how many reviews you're getting and when) correlates with App Store visibility. A sudden drop in reviews after an update is a signal worth catching early.
MakePost syncs all of this directly from App Store Connect, so you're not logging into a separate dashboard just to check if yesterday moved the needle.
What to Track on Social Media
Here's the honest version: social media metrics are engagement signals, not download counters. They tell you what content resonates, not whether it directly caused a download.
Views — Top of the funnel. A post that gets high views but no engagement usually means your hook worked but your content didn't deliver. Useful for testing thumbnails and opening lines.
Likes and saves — Saves in particular are underrated. On Instagram and Pinterest, a save means someone wants to come back to this. That's a different quality of interest than a passive like.
Comments — The highest-signal metric on almost every platform. If someone took the time to type something, you made them feel something. Read your comments. They're free user research.
Shares — The metric that tells you whether your content is worth spreading. A post about your app that people share with "you need this" in the caption is doing more work than any ad you could buy.
What to largely ignore: Follower count, especially in the short term. Follower counts are a lagging indicator. They go up when you consistently produce good content over time. Chasing followers before you've found content-market fit is a distraction.
Connecting the Two Streams
This is where the real insight lives — but it requires patience and honest reasoning.
Look for timing correlations. If your App Store downloads spiked two days after a video performed unusually well, that's worth noting. Do it again. See if it happens again. One data point is a coincidence. A pattern is a signal.
Look at which platforms drive your most engaged audiences. If your LinkedIn posts consistently get comments from people who ask thoughtful questions about your app's features, that audience might be higher-intent than a TikTok audience that just likes the entertainment value. MakePost lets you compare engagement metrics across all platforms per app, so you can actually see this side by side instead of toggling between nine separate apps.
Don't assume correlation is causation, but don't dismiss it either. Use these signals to decide where to invest your next round of content effort.
Metrics That Feel Important But Aren't (Yet)
Impressions without context — Impressions going up while engagement rate drops usually means the algorithm pushed your content to a less relevant audience. More eyeballs, less impact.
Platform-level follower benchmarks — Having 500 followers who are exactly your target user is worth more than 10,000 who followed you for an unrelated viral moment.
Daily fluctuations in anything — Daily numbers are noisy. Look at weekly averages at minimum. Monthly trends are where the real story is.
Build a Simple Weekly Habit
Pick one number from App Store Connect and one from social to review every Monday. Write a one-line note about what changed and what you think caused it. After a month, you'll have a rough map of what's actually working.
Analytics are only useful if they change what you do next. If you're tracking something and it's never influenced a decision, it's decoration.
If you want App Store Connect and your social metrics in one place, MakePost connects both. Worth checking out at makepost.com.