Dataset

app-store-intelligence

App Usage & Downloads Platform 1 source

Modeled app-download, revenue and engagement estimates for the Apple App Store and Google Play. Sensor Tower's current App Performance Insights offering has product-specific access and export entitlements.

Dataset card

Reviewed

This entry covers Sensor Tower's app-store market estimates, now described on its App Performance Insights page. The service estimates downloads, revenue and engagement across the Apple App Store and Google Play; these are modeled market measures, not each publisher's audited internal records.

What this dataset contains

The product FAQ lists estimated downloads, revenue, active users, engagement, retention signals and store rankings, with breakdowns by country, category and platform. Sensor Tower's wider advertising products are separate capabilities; a subscription to app-performance data should not be assumed to include all advertising metrics or raw panel records. Free registration is available, while full access depends on paid entitlements.

Structure and fields

The public product page identifies metric families and breakdowns but does not establish a single export schema for every subscription. Request exact identifiers, currency and revenue definitions, time zones, aggregation intervals, update schedules and API/export limits. The methodology overview describes panel observations combined with first-party and public information, then modeled to estimate broader behavior. It does not establish uniform precision for every app or country.

How analysts use it

Researchers can compare app adoption and monetization trends, provided the metric definitions and coverage are comparable. Downloads are not necessarily distinct or active users, and app revenue estimates need not equal an issuer's reported revenue. The product FAQ describes a combined Sensor Tower/data.ai pipeline launched in 2025; assess resulting revisions and retain historical vintages before backtesting. Benchmark against first-party disclosures where available rather than assuming a change in the estimate is entirely a change in the business.

Documentation & references 4
  1. Sensor Tower/app-store-intelligence: listing on the provider website
  2. Sensor Tower: official website
  3. https://sensortower.com/solutions/store-intelligence
  4. https://sensortower.com/responsibly-sourced-data

Further reading

All guides
  • Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
  • Alt data delivery formats and pipelinesAPI, S3, Snowflake, Parquet, webhooks: how datasets are actually delivered, what each format costs operationally, and how to design ingestion that survives schema drift and vendor quirks.
  • Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.

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