Paste a store URL. Get downloads, retention, sentiment, events, rankings, publisher portfolio, and 12+ months of history in one view. No enterprise contract required.
Features
One paste, one profile, one source of truth.
Estimates built from ranking data, category benchmarks, and partner panels. Confidence bands on every number so you know what's solid and what's directional.
Curves modeled from review velocity, update cadence, and rating decay. See whether an app is growing its base or churning users out the back door.
Sentiment over time, frequent topics, and the specific complaints driving one-star reviews — surfaced so you don't have to read 10,000 reviews yourself.
Every App Store in-app event an app has ever run. Spot the seasonal cadence, the hooks that pulled the most installs, and the launches you should be timing against.
See every app a publisher runs, their category mix, their cross-promotion patterns, and which titles are carrying the portfolio — in one click.
AppDrift ranks similar apps by keyword overlap and visual similarity, not just category. Find the real competitors — the ones actually stealing your traffic.
How it works
The profile is ready by the time you've scrolled past the hero.
Drop in any App Store or Google Play link. AppDrift instantly resolves the app and starts assembling the profile.
Downloads, retention, sentiment, events, rankings, screenshots, and history all render in one scrollable view.
Pin the app to keep a live profile, export to CSV for your team, or push it to your BI stack via API.
FAQ
Paste any App Store or Google Play URL and you get a full dossier: estimated downloads, retention curve, review sentiment breakdown, in-app event history, publisher portfolio, similar apps, featuring history, ranking trajectory, and complete metadata/screenshot snapshots across every market.
We model download volume from a blend of ranking data, category benchmarks, and partner panels. Retention is modeled from public review velocity, update cadence, and rating decay curves. Estimates are clearly flagged as modeled — we don't pretend they're direct Apple or Google data.
Any app on the App Store or Google Play. You don't need to own it, connect accounts, or get permission — it's all public listing data, enriched with AppDrift's modeling and history.
Most apps have 12+ months of AppDrift-collected snapshots, and category leaders have multi-year history. We show you the date each data point was captured so you can reason about what's fresh and what's archival.
Competitor Analysis is built around monitoring 10 rivals you've pinned to your app, with daily diffs and alerts. App Intelligence is built around profiling any one app end-to-end — a deep one-shot analysis rather than ongoing monitoring. Most teams use both.
Yes. Every profile view exports to CSV for spreadsheets, and higher-tier plans include a JSON API so you can pipe profiles into BI tools, Notion, or your own dashboards.
Sensor Tower and data.ai sell the same core capability for $5,000+/month as part of enterprise contracts. AppDrift App Intelligence starts at $9.99/month and is built into the same dashboard where you generate metadata, translate, and ship. The enterprise tools have deeper financial data; AppDrift is tuned for execution, not reporting.
Paste a URL. Get the full profile. Move on with your day.
Every app on the App Store and Google Play broadcasts enough public data to reconstruct a surprisingly detailed picture of its performance — if you know where to look and you have the modeling chops to turn rankings, ratings, and update cadence into download estimates and retention curves. Enterprise platforms like Sensor Tower and data.ai do exactly this, and they charge enterprise prices for it. AppDrift App Intelligence gives independent developers and small teams the same capability at indie pricing, inside the same dashboard where they optimize their own apps.
The workflow is deliberately simple. Paste any App Store or Google Play URL — yours, a competitor's, an app you're thinking about acquiring, an app a friend just shipped — and AppDrift renders a full profile: modeled downloads, revenue estimates, retention curve, review sentiment breakdown, full in-app event history, publisher portfolio, featuring and ranking trajectory, and 12+ months of metadata and screenshot history. What used to take a week of spreadsheet assembly now happens before your coffee cools.
AppDrift's estimates aren't direct Apple or Google data — that data isn't public, and any tool claiming otherwise is either lying or resampling Sensor Tower with extra steps. What AppDrift does is model downloads, retention, and revenue from a mix of ranking position, category benchmarks, review velocity, update cadence, and partner panel data. Every estimate carries a confidence band, and every screen tells you which numbers are modeled and which are direct. That honesty matters when you're making investment decisions off the data.
For head apps in tier-1 categories, our estimates typically track within 10-15% of the real numbers (measured against published MAU and download figures during category earnings calls). For long-tail apps, confidence widens, and the UI shows that. This is the part most enterprise intelligence tools obscure — and it's where AppDrift's transparency starts to matter the moment you need to defend a recommendation.
App Intelligence complements Competitor Analysis and Keyword Tracking. Competitor Analysis is built around monitoring a pinned list of rivals with daily diffs and alerts — it's the right tool for "watch my top ten competitors forever." App Intelligence is built around deep one-shot profiling — the right tool for "tell me everything about this app I just heard of." Most teams use both.
The data also flows directly into your own optimization workflow. Modeling reveals a competitor's retention is weakening? That's a signal your metadata positioning can lean into what they're weak on. Publisher portfolio shows a competitor launching three titles in your adjacent categories? That's a monitoring rule worth setting up. Good intelligence doesn't live as a PDF — it routes into execution.
Every profile exports to CSV for spreadsheet analysis. Higher-tier plans unlock a JSON API so you can pipe profiles into Notion, Looker, Tableau, or whatever BI stack your team lives in. Team workspaces mean you don't have to re-paste a URL to share a profile — you drop a link and a teammate sees the same live view. For a broader picture of how AppDrift stacks up against the enterprise intelligence tools, read our comparison of ASO tools in 2026.