Store Analytics · Coming soon

From Impression to Revenue — in One Funnel, Both Stores

Unify App Store Connect, Google Play Console, and Apple Search Ads into a single ASO funnel. Every metric connected, every period comparable, every channel attributed. Currently in development — join the waitlist for early access.

Read-only integrationsBoth stores + ASACSV + scheduled exports
3-in-1
Stores Unified
4hr
Ad Refresh
90-Day
Revenue Forecast
Read-Only
Integrations

Features

Every metric, connected and comparable

The dashboard you wish App Store Connect and Google Play Console made together.

One Funnel, Both Stores

App Store Connect and Google Play Console in a single funnel view. Stop tab-switching to answer "why did installs drop?" — the answer's in one place.

Channel Attribution

Organic search, paid search, browse, referrer, and app referrer — all broken out per funnel step. Know exactly which channels are driving which behaviors.

Period-Over-Period Comparison

Compare any two periods side-by-side with percentage deltas at every funnel step. Did your new screenshots help? The chart tells you.

Revenue Forecasts

30- and 90-day forward revenue projections with confidence bands, modeled from the last 90 days. Catch trend breaks before they hit the P&L.

MMP Integrations

Read-only pulls from Adjust, AppsFlyer, Branch, Kochava, Singular, and Tenjin. Campaign-level attribution layered on top of your ASO funnel.

Exports & Scheduled Reports

Every chart exports to CSV. Any view can be scheduled as a weekly or monthly email — your growth team stops writing the same update by hand.

How it works

Three steps to a single source of truth

The slowest part is entering your API keys.

01

Connect Your Stores

App Store Connect API key, Google Play service account, Apple Search Ads OAuth. All read-only. Five minutes, done.

5 min setup
02

See One Unified Funnel

Impression → product page view → tap → install → retention → revenue. Every step, every store, one chart.

auto-refreshed
03

Forecast and Export

30- and 90-day revenue forecasts with confidence bands. Scheduled CSV and email exports for the whole team.

FAQ

Store Analytics, answered

Impressions, product page views, taps, installs, retention, revenue, and ad spend — pulled from App Store Connect, Google Play Console, and Apple Search Ads into a single cross-store funnel. You stop flipping between three dashboards to answer one question.

App Store Connect (API key), Google Play Console (service account), Apple Search Ads (OAuth), and read-only exports from mobile measurement partners: Adjust, AppsFlyer, Branch, Kochava, Singular, and Tenjin. All integrations are read-only.

Yes, at the channel level. You'll see how organic search, paid search, browse, referrer, and app referrer each contribute to your funnel. MMP integrations layer in campaign-level attribution if you route it to AppDrift.

Yes — any two periods, side-by-side. Compare last week vs. four weeks ago, or the week after a metadata change vs. the week before, and see percentage deltas at every step of the funnel.

Apple Search Ads pulls every 4 hours. App Store Connect and Google Play Console pull daily (Apple's and Google's data is itself delayed by ~24h, so a more frequent pull wouldn't add freshness). Refresh cadence is visible on every chart.

Yes. Based on the last 90 days of install and revenue data, AppDrift projects a 30- and 90-day forward revenue window with confidence bands. Useful for planning paid budgets and catching trend breaks early.

Mixpanel and Amplitude analyze in-app behavior. Store Analytics analyzes the pre-install funnel — everything that happens before a user is in your app. Most ASO and growth teams run both; they answer different questions.

Coming Q3 2026

Be first to see your full ASO funnel in one view

We're wiring up App Store Connect, Google Play Console, and Apple Search Ads into a single dashboard. Drop your email and we'll let you in as soon as it's ready.

Store Analytics: Why Your Funnel Shouldn't Live in Three Different Dashboards

Every ASO or growth team has the same ritual. You open App Store Connect to check yesterday's product page views. Then you open Google Play Console to see how Android held up. Then you open Apple Search Ads to see how your paid placements did. By the time you've pieced together the three views, you've lost the thread of what you were actually trying to figure out — and the numbers don't quite line up anyway because each dashboard aggregates the funnel differently. AppDrift Store Analytics fixes this by pulling all three into a single funnel, with consistent definitions and a single time axis.

The unified funnel goes from impression to product page view to tap to install to retention to revenue — every step visible for App Store and Google Play in one chart, with Apple Search Ads overlaid as a paid layer. You can see at a glance that your iOS conversion dropped 12% last week because your Search tab impression share fell, not because your screenshots got worse. That kind of causal clarity is almost impossible to reach inside Apple's and Google's separate tools.

Attribution That Actually Means Something

Channel attribution inside App Store Connect is coarse: organic, paid, browse, referrer. Useful, but it stops short of telling you which specific campaigns or content are driving which slice of your funnel. AppDrift layers mobile measurement partner data on top — Adjust, AppsFlyer, Branch, Kochava, Singular, or Tenjin — so your campaign-level attribution and your store-level funnel live in the same view. A spike in paid traffic that doesn't translate to retention is now one hover away from becoming a specific campaign you can pause.

Read-only is the default for every integration. AppDrift never has write access to your store accounts, your ad accounts, or your MMP data. This matters for security reviews and it matters for trust — nothing in the analytics surface can accidentally change a campaign or push a metadata update you didn't intend.

Revenue Forecasting Without the Spreadsheet Theater

Forecasting app revenue usually means a senior data analyst rebuilding the same Sheets file every quarter. AppDrift's forecast runs off the last 90 days of your actual install-to-revenue curve and projects the next 30 and 90 days with confidence bands. When the band narrows or widens unexpectedly, you know the underlying trend is shifting — usually a better leading indicator than raw DAU or download counts.

Forecasts pair especially well with the rest of the AppDrift stack. If the forecast dips after you ship a new metadata set, you see the causal link inside the same dashboard and roll back in one click. If the forecast improves after you launch a Custom Product Page targeted at a new audience, you see that too — with per-variant attribution flowing straight from the CPP module.

For Teams Who Already Use Mixpanel or Amplitude

Store Analytics doesn't replace in-app analytics. Mixpanel and Amplitude answer questions about what users do inside your app. AppDrift Store Analytics answers questions about what happens before they're ever in your app — the pre-install funnel, the channel attribution, the conversion-rate regressions. Most growth teams run both because they answer fundamentally different questions. For a deeper look at how AppDrift compares to the broader ASO stack, see our comparison of ASO tools in 2026 and our guide to what actually moves App Store rankings.