Apptopia delivers finance-grade mobile consumer data that integrates seamlessly into quantitative research workflows—offering a unique behavioral dataset to enhance signal discovery, support model validation, and inform tactical allocation decisions.
Apptopia is completely focused on providing the best in class, most accurate data for the investment community with over 10 years of experience providing consumer mobile data to over 200 financial institutions.
Track 3,500+ public tickers across 160+ countries, powered by eight years of history from two independent sources — app store intelligence and device-level panel data.
Purpose-built for institutional workflows, our datasets are stable, never restated, and ready for direct use in systematic models, backtests, and machine learning pipelines.
With a median correlation of 0.85 across key KPIs, Apptopia delivers industry-leading data quality and measurable forecasting strength across sectors.
Spot emerging shifts in consumer behavior and sector trends. Apptopia’s granular app data helps investors uncover signals that drive alpha.
See how user shifts from QSR apps to food delivery and ride-hailing platforms signal evolving consumer habits—and surface cross-sector rotation opportunities.
See how Gen Z re-engagement on Tinder (MTCH) signaled a broader recovery in user engagement in the dating sector.
Learn how weekly data on user engagement uncovered shifting momentum in the food delivery sector — identifying early inflections, category leaders, and potential earnings catalysts.
Discover how cross-app churn data quantified user migration from DIS to TUBI, exposing early signals of sector rotation in streaming ahead of reported subscriber shifts.
Core metrics refresh as often as every 4 hours, giving your teams relevant and timely insights to drive tactical trading decisions.
Leverage 8 years of validated historical app performance for trend analysis, backtesting, and model calibration to predict future market behavior.
Access time-series data, historical snapshots, and point-in-time records, delivered in industry-standard formats.
Seamlessly integrate with your existing workflow via S3, Snowflake, or REST API.
Work with our data science and integration teams to optimize delivery, signal extraction, and validation.
Apptopia delivers finance-grade mobile consumer data that integrates seamlessly into quantitative research workflows—offering a unique behavioral dataset to enhance signal discovery, support model validation, and inform tactical allocation decisions.
Apptopia is completely focused on providing the best in class, most accurate data for the investment community with over 10 years of experience providing consumer mobile data to over 200 financial institutions.
Track 3,500+ public tickers across 160+ countries, powered by eight years of history from two independent sources — app store intelligence and device-level panel data.
Purpose-built for institutional workflows, our datasets are stable, never restated, and ready for direct use in systematic models, backtests, and machine learning pipelines.
With a median correlation of 0.85 across key KPIs, Apptopia delivers industry-leading data quality and measurable forecasting strength across sectors.
Spot emerging shifts in consumer behavior and sector trends. Apptopia’s granular app data helps investors uncover signals that drive alpha.
See how user shifts from QSR apps to food delivery and ride-hailing platforms signal evolving consumer habits—and surface cross-sector rotation opportunities.
See how Gen Z re-engagement on Tinder (MTCH) signaled a broader recovery in user engagement in the dating sector.
Learn how weekly data on user engagement uncovered shifting momentum in the food delivery sector — identifying early inflections, category leaders, and potential earnings catalysts.
Discover how cross-app churn data quantified user migration from DIS to TUBI, exposing early signals of sector rotation in streaming ahead of reported subscriber shifts.
Core metrics refresh as often as every 4 hours, giving your teams relevant and timely insights to drive tactical trading decisions.
Leverage 8 years of validated historical app performance for trend analysis, backtesting, and model calibration to predict future market behavior.
Access time-series data, historical snapshots, and point-in-time records, delivered in industry-standard formats.
Seamlessly integrate with your existing workflow via S3, Snowflake, or REST API.
Work with our data science and integration teams to optimize delivery, signal extraction, and validation.