App Ranking Analytics: How to Track App Store Rankings and Find Growth Gaps
Table of Content:
- What is app ranking analytics?
- App ranking tracker vs app ranking analytics
- Understanding the why behind app ranking movements
- What ranking data to check daily, weekly, and monthly
- How to diagnose a ranking drop before touching metadata
- Ranking patterns that reveal growth gaps
- 4 practical ASO moves when rankings go sideways
- 6 pro tips from AppFollow ASO experts
- How AppFollow turns ranking movement into a fix list
- FAQ about app ranking analytics
- Read also
If your app slips from #6 to #11 for a keyword that drives installs, the position tells you what happened. It doesn't tell you why.
First, check the same keyword, country, and store. Did one term move, or did the whole cluster slide? Match the date against metadata edits, the latest release, review sentiment, ratings, competitor movement, and search demand. That sequence helps you avoid fixing a listing that may not be the problem.
That's what app ranking analytics is for: move from a rank change to a defensible ASO decision. I'll show you what to track daily, how to diagnose a decline, and when a ranking move is actually worth an experiment.
Quick answer: An app ranking tracker records your position for a particular keyword, store, country, and date. App ranking analytics connects that position with search visibility, downloads, releases, reviews, ratings, and competitor activity, so you can decide what to investigate and what to change next.
What is app ranking analytics?
App ranking analytics is the practice of tracking where an app appears in App Store and Google Play search, then checking whether that visibility produces downloads. One rank number is a starting point; the useful insight comes from comparing position, demand, broader discovery, and actual acquisition.
Five signals help you make sense of that relationship:

- Keyword Ranking. Where the app appears for a specific query, store, and country. A move from #12 to #8 is worth investigating; it isn't automatically a growth win.
- Search Visibility Score. A broader measure of organic discoverability. Compare it with individual rankings to see whether a drop is isolated or affects more of your keyword portfolio.
- Search Popularity. A measure of demand. A #1 ranking for a low-interest term can be worth less than a mid-page position for a relevant, high-demand one.
- Impressions vs Installs. Are store visitors converting? Check store-console acquisition data before blaming a rank shift for weak installs.
- Organic Uplift. The additional organic downloads associated with better visibility or conversion. Treat it as an outcome to measure, not an automatic consequence of moving up a few positions.
Here is a real case on how app ranking analytics works from our ASO guru Yaroslav Rudnitskiy:
I worked with a mobile finance app that was stuck at #12 for “budget planner.” Good click-throughs, decent visibility, but installs…ice cold.
So the ASO manager pulled up AppFollow and went hunting. First stop: keyword ranking trends. The app had hovered in the no-man’s-land of positions #10–13 for weeks. High enough for impressions, too low for real conversions.
Next, they checked the Search Visibility Score by country. US visibility was sinking. That’s when we popped into rating analytics and spotted it: the app’s average rating dropped below 4.0 right after a new UX release. Dozens of 1-star reviews flagged “confusing signup” and “crashes.”
Using AppFollow’s Review Analysis, they filtered reviews by date and keyword tags. Turns out, onboarding was buggy after the update, and it scared off new users.
In this practitioner example, the team prioritized the onboarding bug and review response before another metadata rewrite. The lesson isn't that a rating dip mechanically causes a precise ranking loss; it's that a rank change can expose a product issue worth investigating.
So which signals should you check before you touch your keywords?
App ranking tracker vs app ranking analytics
An app ranking tracker answers one narrow question: where did this app rank for this keyword, in this country, on this store, on this date? That's essential data. But it isn't a diagnosis.
If “expense tracker” moves from #4 to #9, start with Keyword Tracking to verify the trend. Then check Search Visibility Score for the wider picture. If other finance keywords hold steady, you're dealing with a different problem from a cluster-wide visibility drop.
Next, look at keyword download contribution and reviews around the same dates. Did search downloads change? Did a competitor take the spot? Did the release introduce a bug? The answer determines whether to edit metadata, investigate a conversion issue, or simply watch another few days.
| What you need | Use | What it answers |
|---|---|---|
| A quick snapshot of live search results | Keyword Live Ranking | Where your app appears for this keyword, store, and country right now |
| A ranking trend, not a one-off check | Keyword Tracking | Whether the position change persists across dates |
| Broader discovery context | Search Visibility Score | Whether visibility changed across the keyword portfolio |
| Acquisition impact | Keyword download share and Downloads by Keywords | Whether the affected terms matter for search downloads |
Checker vs tracker: a rank checker is useful for a quick position lookup; a tracker records the changes. Analytics puts those changes in context so you can choose the next action.
Understanding the why behind app ranking movements
App store positions move for more than one reason. Store relevance, user behavior, demand, and competition can all be involved. The danger is treating every correlation as a confirmed ranking factor.
Apple describes App Store search in terms of text relevance and customer behavior, including downloads, ratings, and reviews. It does not publish a formula that lets you attribute any particular keyword drop to one screenshot, review, or release.
Here's how I would investigate the signals you can actually observe.
- Metadata (Title, Subtitle, Keywords)
App names, subtitles, keyword fields, and other store-specific listing text help establish relevance. Check the exact indexed field you changed and compare related queries before deciding to roll an edit back.
For example, if an app replaces “workout planner” in its iOS subtitle and subsequently loses positions for that phrase, inspect keyword history, related terms, and search demand. The timing suggests a hypothesis, not a guaranteed cause.
- Ratings & Reviews
Watch ratings and review themes, particularly after a release. Low ratings can hurt user confidence, and Apple names ratings and reviews among search considerations. But there is no universal 4.0-star threshold that automatically triggers a ranking loss.
If “expense tracker” falls while 1-star reviews mentioning crashes rise, use Rating Analysis and review tags to investigate the product issue. Fixing a bug may improve user experience; measure any subsequent ranking recovery rather than promising it.
- Install Velocity & Retention
Paid acquisition can create an install spike without sustainable organic growth. Use Organic Dashboard and Channel Analytics to separate traffic sources. Retention belongs in your product analytics: it helps diagnose onboarding quality, but it is not a proven seven-day ranking lever.
- Update Cadence & Stability
A release date is a useful marker. Compare app updates with keyword history and reviews by version to see whether problems or listing changes appeared at the same time.
Publishing more updates isn't a ranking strategy on its own. Better QA and clear measurement matter more than an arbitrary release cadence.
- Keyword-to-Install Correlation
You can rank well for a keyword and still earn few search downloads from it. In Keyword Tracking, the % of Search Downloads column provides relative keyword contribution even without a store connection; absolute search download numbers require an App Store Connect or Google Play ASO connection.
The dedicated Downloads by Keywords page requires an ASO Report integration. Use it to compare keyword download share and available acquisition numbers before reallocating metadata space from one term to another.
With these signals side by side, a ranking decline becomes a specific question you can test, not another reason to rewrite the entire listing.
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What ranking data to check daily, weekly, and monthly
Some metrics are alarms. Others are patterns. And some only become useful after enough days pass. Check them at the same frequency and you'll end up optimizing for noise.
Here's the operating rhythm I recommend:
| Cadence | What to check | What it tells you | Don't overreact to |
|---|---|---|---|
| Daily | Priority keywords, key markets, notable competitor moves | Where to investigate | A one-day swing on a low-demand query |
| Weekly | Visibility Score, keyword download share, review themes, competitor changes | Whether the movement affected broader discovery or acquisition | A lone keyword slide with a stable portfolio |
| Monthly | Metadata tests, screenshot changes, localization, category trends | Which larger ASO changes deserve another iteration | Rewriting the whole listing after one weak week |
Daily: track keyword positions for core queries
Start with your strategic keywords - the ones with high search popularity and high conversion potential. Use AppFollow’s Keyword Ranking dashboard to spot micro-shifts in ranking for each market.

Keyword Tracking dashboard at AppFollow. Explore AppFollow.
For example, if “speak english” drops from #3 to #10 overnight in the US, check if there’s a sudden dip in visibility, review sentiment, or if a competitor just updated their metadata.
Daily tracking helps you catch movement early. Treat the change as a reason to investigate before you update creatives or keywords.
Weekly: monitor regional ranking volatility
Compare Search Visibility Score and important keyword clusters across countries. If Brazil weakens while the rest of LATAM holds steady, check the Portuguese listing, local reviews, competitors, and any market-specific release or demand shift.
Then ask the question that determines priority: did the drop affect high-intent searches or meaningful download contribution, or did one low-impact term move?
Monthly: analyze the impact of changes to assets and releases
Listing changes can affect relevance or conversion, but the impact is rarely clear from one day's data. Use App Update Timeline with keyword rankings, reviews, and store-console acquisition metrics. Where possible, isolate changes instead of testing everything at once.

ASO dashboard at AppFollow. Explore AppFollow.
After each change, look at:
- Keyword ranking change (especially top-5 and top-10)
- App Store impressions vs installs
- Review volume spikes and sentiment shifts
Yaroslav Rudnitskiy, ASO guru:
“I had a case with a productivity app. Once they found that their minimal new icon led to a 19% drop in CVR, users thought the app had been deprecated. Monthly analysis helps you isolate what changes worked… and which ones tanked performance.”
Monthly: compare keyword rankings with competitors
Go deep with Compare Discovery. Choose your five most important keywords and stack your app against direct competitors.

Compare Discovery dashboard at AppFollow. Explore AppFollow.
Look at:
- Changes to visible store metadata, screenshots, and positioning
- Ratings and recurring review themes
- App updates and changes in competitor keyword coverage
Yaroslav Rudnitskiy, ASO guru:
“A finance app once spotted their biggest competitor slipping from #2 to #6 for “budget planner.” A flood of 1-star reviews after a UI overhaul. Our client doubled down on visual clarity, tuned their keywords, and responded to 93% of new reviews in under 24h - they climbed to #3 and held it for three straight months.”
The point of this routine is to recognize a pattern early without treating every move as a proven algorithm change.
Now let's turn that pattern into a diagnosis.
How to diagnose a ranking drop before touching metadata
When a keyword falls, I start with the shape of the decline. One term sliding, several related terms falling together, and a single country underperforming call for different checks.
| What changed | What to investigate | Check first |
|---|---|---|
| One keyword falls but visibility holds | Narrow relevance shift, competing app, or volatility | Keyword history and live search results |
| Related keywords fall together | Broader discovery or listing-relevance change | Search Visibility Score and metadata history |
| One country falls while others hold | Local demand, localization, competition, or user experience | Country rankings and reviews by locale |
| Drop follows a release | Version-related issue or another coincident change | Release timeline and reviews by version |
| Rank holds but downloads fall | Search demand or store-page conversion issue | Keyword contribution and store-console data |
Confirm the keyword, store, country, and dates first. Then compare related rankings and visibility. Check acquisition impact before treating the issue as urgent. Only after that should you inspect changes to the listing, competitors, releases, and reviews.
Decision rule: if you can't show the affected keyword group, market, and acquisition impact, you probably don't have enough evidence to rewrite metadata yet.
Ranking patterns that reveal growth gaps
Red flags often arrive quietly: a soft visibility decline, a sudden post-release spike in complaints, or improved positions without new installs. The question is what to verify before the issue grows.
These are three patterns worth watching. The customer results below come from published case studies; the diagnostic scenarios are examples, not claims that a specific ranking movement happened to those customers.
Sudden Ranking Dip After an App Update
Start by comparing the release date with the ranking trend, then filter reviews by version and topic. Multiple complaints about crashes or login failures warrant a product investigation even if the ranking change has another cause.
Here's what the Flo case study actually shows:
Flo used AppFollow Auto-tags to classify around 2,000 Android and iOS reviews, spot recurring problems, and route useful feedback to product teams. Its average review response time improved by 30% on iOS and 35% on Android.
For ASO teams, the takeaway is practical: when rankings change around a release, review tags can help separate recurring product issues from isolated complaints. Then measure rankings and acquisition separately.
One Market Quietly Dragging Down Global Visibility
It's tempting to react to an overall Search Visibility Score decline with one global metadata change. First, check whether the movement is concentrated in a particular country or language.
Azur Games shows what multilingual review operations look like at scale:
In its published AppFollow story, Azur Games reported 88% of review responses automated across a set of 175,000 reviews for hyper-casual games. It is a strong example of handling localized feedback at scale, alongside country-level ranking analysis.
For your own app, compare rankings and reviews by country first. If only Italy is declining, review Italian-language complaints, localized assets, and competing listings before touching other markets.
Keyword Spike Without Install Growth
One of the most misleading signals is a ranking gain that doesn't produce more installs. Start by checking the keyword's search demand and contribution, then compare store acquisition and conversion data.
The published James Delivery case study links ranking work to acquisition:
Over approximately six weeks of keyword experiments and metadata iterations, James Delivery reported a 5.6% increase in Search Visibility Score on iOS and 5.3% on Android. Search downloads increased 11.5% and 23.4%, respectively.
The result matters because it links ASO experiments to both wider discoverability and downloads. A ranking win alone would tell you much less.
Read rankings as a signal, visibility as the wider pattern, and search downloads as the acquisition result. Each answers a different question.
That's the discipline behind the next four decisions.
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4 practical ASO moves when rankings go sideways
Each of these is an illustrative diagnosis you can apply to your own data. The keyword movements are examples, not additional undocumented AppFollow customer outcomes.
You Drop 10+ Positions Overnight
Say “meditation timer” drops from #3 to #14. Before you rewrite everything, compare the keyword history with related queries and the broader visibility trend.
First check: is this one keyword, one country, or the whole portfolio?
If the movement begins near a release, review app version feedback and any changes to listing metadata. The timing is a clue, not a causal verdict.
Open the reviews by version and rating. Repeated session-freeze complaints would call for QA, while a stable review trend would push the investigation elsewhere.

Reviews dashboard at AppFollow platform. Explore AppFollow
When a product issue is confirmed, prioritize a fix and communicate with affected users. Then compare the same keywords, markets, and acquisition metrics afterward.
If the ranking rebounds, record it as an observed result; don't assume the hotfix was the only factor unless you can isolate the effect.
Lesson: cross-reference updates with sentiment and keyword shifts before editing metadata.
You Removed a Keyword from the Subtitle - and Dropped 8 Positions
A metadata edit is easy to make and easy to blame. Compare the before-and-after evidence first.
Consider an educational app that removes “study planner” from its subtitle. If positions for that term decline soon afterward, compare its keyword history and the surrounding portfolio.
Check the previous and current store text using Compare Meta or App Update Timeline. The removed wording is one plausible explanation worth testing.
Next, check its download contribution. The % of Search Downloads column in Keyword Tracking provides a relative view; absolute numbers need the connected store data.
If it was both relevant and valuable, test restoring the phrase in the appropriate indexed field. Remember that iOS subtitles and Google Play short descriptions are different listing fields.
Takeaway: before removing a keyword, check relevance, search demand, and download contribution, then compare the impact of the change.
A New Competitor Steals Your Top Spot
Your app has held a top-three position for “budget tracker.” Then another finance app moves above it. That's a reason to inspect the market, not copy the competitor's title.
Start with Compare Discovery and the actual search results.
Check who gained positions and how that app presents its budgeting workflow. Compare visible metadata, screenshots, ratings, and release notes with your own listing.
Then inspect your review themes and acquisition performance. Are people asking for functionality that your screenshots barely mention?
Here's a practical shortlist:
- Identify which features matter most to people searching for the keyword
- Test clearer screenshots or value propositions where appropriate
- Use review tags to surface actual product issues
- Make store-specific metadata changes only when relevance evidence supports them
Measure the same keywords and acquisition metrics after the test. One higher position doesn't prove which change worked.
Moral of the story: competitor movement is context for a hypothesis, not a template to copy.
Ranking Improves, but Downloads Stay Flat
You break into the top three for a high-intent term. The dashboard looks better, but search downloads stay flat. That's when you check demand and conversion instead of optimizing for rank alone.
James Delivery offers a documented example of tracking the full outcome:
The team monitored its ASO Dashboard daily and used keyword experiments to improve both discoverability and search downloads. Its published results include increased visibility and search downloads across iOS and Android, making it a good benchmark for outcome-based ASO reporting.
In your own app, use Downloads by Keywords and store-console data to distinguish better rankings from more acquisition.

Downloads by Keywords dashboard at AppFollow. Explore AppFollow.
If acquisition is weak, compare your first screenshots and value proposition with what searchers expect. For a grocery app, speed and service coverage might matter more than promotional visuals. That's a testable hypothesis, not a guaranteed diagnosis.
What should you test?
- Whether the listing communicates the task users searched for
- Whether screenshots make the most relevant features immediately clear
- Whether repeated review feedback exposes a mismatch between the listing and experience
Measure search conversion and downloads afterward, not just the position.
Moral of the story: ranking creates an opportunity to be found. Store listing conversion determines whether that opportunity becomes acquisition.
The most useful ASO moves are the ones tied to a specific observed pattern, a measurable outcome, and a recheck date.
6 pro tips from AppFollow ASO experts
Keep the parts of your process that make results repeatable: sensible alert thresholds, broader visibility checks, download contribution, and controlled changes. The practitioner examples below show how teams reason through the data. They are observations, not guarantees about store algorithms.
Set up drop alerts before the next important keyword slip
A meaningful decline is easier to diagnose when you catch it early. Configure alerts for your highest-value keywords and relevant markets, with thresholds based on their normal volatility.
Alerts show you what to investigate. They don't tell you whether a release, a competitor, or the store algorithm caused the movement.
Use this setup checklist in AppFollow:
1. Choose the keyword alerts available in your workspace and select the terms that matter for acquisition.
2. Set a meaningful threshold, for example 5+ positions on a closely monitored keyword, and adjust for each term's usual volatility.
3. Segment by market. Check each important country rather than treating one global movement as the whole story.
4. Configure supported notifications for your team's workflow, such as email and available integrations. Confirm the exact alert destination in your plan.
5. Pair keyword alerts with rating and review monitoring. Coinciding movements help you prioritize an investigation but don't establish causation.

Example of an AppFollow email alert. Explore AppFollow.
That turns a notification into a useful next step instead of another dashboard panic.
Keep the alert actionable: affected keyword, country, date, visibility context, and owner.
Compare visibility score with keyword position
If you’re only watching individual keyword positions, you’re missing the bigger play. I always tell clients: open up app ranking analytics and compare your Visibility Score to your keyword rankings.
Ilia Kukharev, Product Manager:
“I had one client ranking top 3 for branded terms - but their Visibility Score was barely moving. Why? They weren’t ranking for discovery keywords users search.
Here’s how to dig in: In AppFollow, head to Keyword Rankings, pick your store and locale, and toggle the Visibility Score chart. Then filter by Search Popularity and export your top 10–20 keywords. Map them to actual install volumes using Downloads by Keywords.
That combo shows if you're building visibility on low-impact queries - or if there’s room to swap in higher-converting terms.”
Use retention to investigate product quality, not to promise a ranking lift
Retention can reveal friction after a release. It's valuable product data, but neither store publishes a rule that a small D1 or D7 retention improvement will lift keyword positions within seven days.
Veronika Bocharova, Customer Success Manager
“I worked with a client whose app was stuck at #9 for a high-volume keyword. Everything else looked solid - ratings, reviews, CTR. But when we layered in data from Downloads by Keywords and Organic Dashboard, we spotted a dip in D1 retention post-update. Users were downloading... and leaving.
We made one simple fix: tightened onboarding and added a “skip intro” button. No design overhaul. No keyword changes.
Within 7 days, retention ticked up by 6%. Ranking - moved to #5.
The reported onboarding change is worth learning from, but the concurrent ranking move does not prove retention caused it. Check retention in product analytics, reviews and rankings in AppFollow, and evaluate them as related but separate signals.
High rankings mean nothing if no one taps “Install”
Karen Taborda, Customer Growth Team Lead:
“Teams obsess over hitting top 5 for a keyword, then wonder why installs don’t move. Ranking without conversion is a loud signal that your store page isn’t landing.
One client I worked with was ranking #3 for “habit tracker” - great, right? But when we pulled up app ranking analytics in AppFollow and matched Keyword Rankings with Impressions vs Installs, the drop-off was brutal. Users saw the app, clicked, and ran.
We audited the screenshots. Turns out, the visuals didn’t match the search intent. No mention of streaks, reminders, or progress tracking.”
Here's what to do: use Downloads by Keywords to identify valuable high-rank terms, then check acquisition and product-page conversion in the connected store console. Compare the first screenshots with the intent behind those queries. Improve listing copy or creatives where evidence supports it; don't use review replies for keyword stuffing.
Ranking is how they find you. Conversion is how they choose you.
Be careful with low-volume keywords
Dzianis Shalkou, Senior Professional Services Manager:
“Ranking #1 for a keyword feels amazing. When that keyword gets 200 searches a month, the win doesn’t move the needle. I worked with a client who hyper-optimized for niche, long-tail terms. They were dominating positions 1–3 across the board…but installs were stuck.
We pulled up Search Popularity and Downloads by Keywords in AppFollow, and there it was - all that visibility was on low-volume terms with weak install potential. High effort, low reward.
Here’s what we did:
- Sorted tracked keywords by Search Popularity
- Cross-referenced that with Impressions vs Installs
- Flagged which terms converted, and which ones were vanity fillers
- Rebuilt the keyword list around discovery and mid-funnel terms with better intent
Within two weeks, their Visibility Score jumped, and organic installs followed.”
Don't discard every long-tail term, but spend most of your effort on keywords with relevant demand and real acquisition potential.
Measure the impact of every change
Every time you change a subtitle, screenshots, or the app itself, write down the date and the outcome you're trying to improve. Otherwise even a real lift can be difficult to attribute.
Here’s what to do:
Review the App Update Timeline around the rollout date, then compare Keyword Ranking History, Search Visibility Score, store-console acquisition, and reviews for a suitable before-and-after window. Account for competing changes and seasonality.
That's how you judge whether the test was useful rather than inferring cause from a single chart.
The end product should be a decision log, not a screenshot collection.
How AppFollow turns ranking movement into a fix list
When a keyword changes position, the most useful AppFollow workflow starts with a question, not a sales pitch: which market moved, did discovery or downloads change, and what can we test?

- Confirm the position. Open Keyword Live Ranking for the same store, keyword, device, and country. Check nearby competing apps.
- Measure broader visibility. Compare the affected keyword with Search Visibility Score and related terms. Don't treat one isolated drop like a portfolio-wide decline.
- Check the download impact. Use relative % of Search Downloads in Keyword Tracking. For the dedicated Downloads by Keywords page, an ASO Report integration is required; absolute numbers need the appropriate connected store data.
- Read reviews around the change. Filter by version, country, rating, and recurring topics. Look for bugs, onboarding friction, payment issues, or localization problems.
- Compare competitors. Open Compare Discovery and check whether competing apps gained visibility, changed listings, or moved into the same keyword space.
- Assign a next action. Record the keyword, market, date, visibility and download impact, competing changes, suspected cause, action owner, and date to recheck.
Some cases call for metadata changes. Others point to screenshots, localization, reviews, or a product problem. A stable metric is also a useful finding: it can save the team from an unnecessary edit.
Explore AppFollow ASO tools to connect ranking history with keyword research, competitive context, and search acquisition. For a public market-level view, compare the US iPhone app analytics rankings with your own tracked keyword performance; category charts are not a substitute for keyword history.
The output is a fix list, not another dashboard screenshot. That's when app ranking analytics earns its place in your ASO process.
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FAQ about app ranking analytics
What is app ranking analytics?
App ranking analytics tracks where an app appears for target keywords, categories, countries, and stores, then connects ranking movement to visibility, downloads, ratings, reviews, releases, and competitor activity. The goal is to understand what changed and what to investigate next.
What is an app ranking tracker?
An app ranking tracker records an app's position for selected keywords in the App Store or Google Play over time, usually by store, country, keyword, and date. It helps teams spot sustained movement instead of relying on manual spot checks.
How do I check my app ranking?
Choose a store, country, device, and keyword, then check the current search results with a rank checker such as AppFollow Keyword Live Ranking. Use historical keyword tracking to see whether the position changed over time.
How often should I track app rankings?
Check priority keyword positions daily, review visibility and download impact weekly, and make larger metadata or creative decisions monthly. Use a shorter review cycle around major launches, but don't change a listing based on one noisy day.
Why did my app ranking drop?
Possible explanations include competitor movement, keyword relevance changes, seasonality, listing conversion, releases, user feedback, or store-side volatility. Check the keyword cluster, store, country, search visibility, downloads, reviews, and competitor results before changing metadata.
What is the difference between a keyword ranking and Search Visibility Score?
A keyword ranking is one position for one query in one market. Search Visibility Score reflects broader discoverability across multiple keywords. One keyword can lose positions while the app's overall search visibility remains stable.
Read also
- What Is Review Management: Ultimate Guide To Managing App Store Reviews
- Expert Guide to Navigating App Store Review Guidelines
- Online Review Management Reputation Software: 15 Tools Review
- Mastering Reputation Management: Strategies, Tools, and Insights to Boost Your Brand
- Top 9 Mobile App Analytics Best Practices from Real Pros
- Crack App Analytics: Expert Guide to Win the App Store Game
- Guide to App Store Analytics: Find the Data, Follow the Clues, Grow