Store listings change quietly, and you find out months later if at all.
Free plan, no card. Five widely tracked apps come with the account, already carrying history.
Click through the sections. This is the real interface.
| Keyword | Store | Traffic | Difficulty | Effectiveness | Rank | Chg | Best | History |
|---|---|---|---|---|---|---|---|---|
| meditation | us | 2 | ▲1 | 2 | ||||
| sleep sounds | us | 5 | = | 4 | ||||
| meditation | de | 2 | ▲3 | 2 | ||||
| schlaf app | de | 3 | ▲2 | 3 | ||||
| méditation | fr | 6 | ▼2 | 4 | ||||
| games | us | out | = | - |
| duolingo | 1 | US |
| language learning | 1 | US |
| learn spanish free | 2 | US |
| sprachen lernen | 3 | DE |
| apprendre l'anglais | 4 | FR |
| language app | 7 | US |
| 🇺🇸 United States | $69.99 | 1.00× |
| 🇩🇪 Germany | 38,99 € | 0.63× |
| 🇬🇧 United Kingdom | £39.99 | 0.76× |
| 🇲🇽 Mexico | MX$804 | 0.66× |
| 🇧🇷 Brazil | R$99.90 | 0.28× |
| 🇹🇷 Türkiye | ₺174.99 | 0.05× |
The cheapest ranking real estate there is.
One subtitle rewrite, not six separate jobs.
Winnable at your size.
| Field | Severity | Why it matters |
|---|---|---|
| Name | high | 30 indexed characters. A rename is a repositioning. |
| Subtitle | high | 30 more indexed characters, and the field most often quietly rewritten. Apple's JSON API does not expose it, so AsoTheory reads it from the public listing page. |
| Price | high | Per storefront. Catches trial removals, regional experiments and paywall repricing. |
| Icon | high | Icon swaps usually accompany a brand or positioning shift. |
| Primary category | high | A category move is a deliberate play for a different ranking pool. |
| Description | medium | Diffed with added and removed terms, not just a character count. |
| Screenshot count | medium | The first two or three screenshots carry most of the conversion decision. |
| Install bucket | medium | Google Play only. Crossing from 10M+ to 50M+ is a growth event you can date. |
| Version, release notes, minimum OS, size, content rating | low | Shipping cadence and platform decisions, kept out of the way until you want them. |
We estimate app revenue from multiple datasets, monitoring apps continuously for changes in rankings, performance and monetization signals. The models combine those inputs to help you spot trends, compare opportunities and validate ideas faster.
Apps are captured daily, so estimates rest on a dated record rather than one look.
Ranking movement, published pricing, store-reported figures and category behaviour.
A deliberately wide band with the confidence stated, because a single number would imply an accuracy nobody in this category has.
The inputs that drive the estimate can be changed, so you can test your own assumptions instead of taking ours.
An app we have only seen once gets no estimate at all, because there is nothing to compare against and a number produced anyway would be a guess wearing a decimal point. Confidence is labelled on every figure. Where a store publishes a real number, such as install counts on Google Play, it is reported as fact and labelled as reported. Where nothing is published, as on iOS, the interface says the figure is estimated.
Market intelligence in this category starts in the hundreds per month and climbs into annual contracts. This does not.
Apple's public iTunes Lookup and Search APIs for listing metadata and live search rank, plus the public App Store product page for the subtitle and Apple's own similar-apps list. Google publishes no metadata API, so Play data is parsed from the public store pages. No API key, no authenticated scraping, no private endpoints.
No, and neither does anyone else without an advertiser account. Apple exposes volume only through the Search Ads API; Google exposes nothing. Rather than invent an authoritative looking number, the Traffic column is an explicit proxy: how hard competitors are choosing to fight for the term, measured by what share of the top results spend their own indexed name characters on it. Comparable between terms, meaningless as an absolute.
We estimate app revenue using multiple datasets and continuously monitor apps for changes in rankings, performance and monetization signals. Our models combine those inputs to produce revenue estimates that help you spot trends, compare opportunities and validate ideas faster.
Estimates are directionally useful rather than precise, the band is deliberately wide, and confidence is labelled on every figure. Accuracy improves the longer an app is tracked.
Because there isn't any. Change tracking is inherently forward-looking: the first capture is the baseline, and value compounds from there. Every new account starts with five widely tracked apps that have been collected here for a while, so you can see the shape of a mature timeline on day one while your own apps start accumulating.
Yes, both stores, tracked independently, with a switch in the search bar and a filter on the workspace. Play brings one thing the App Store cannot: Google publishes install counts, so on Android the install figure is reported fact rather than an estimate.
Calm and Duolingo already tracked on both stores across six storefronts, with live keyword ranks and a working change timeline. No signup, no card.