Apptopia provides institutional investors and analysts with real‑user mobile app performance metrics and behavioral analytics from a proprietary panel of over 15 million devices.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OACFounders
Product
Problem
Investors and equity analysts lack timely, granular data on mobile app usage and consumer behavior, making it difficult to model company performance, validate forecasts, and execute short‑term trading strategies without introducing look‑ahead bias.
Solution
Apptopia delivers real‑user mobile app performance metrics and behavioral analytics sourced from a proprietary panel of over 15 million devices. The platform provides timestamped, historically stored data refreshed as often as every four hours, enabling accurate backtesting and model validation. Users can segment audiences, track engagement trends across more than 3,500 publicly traded tickers, and access predictive usage models to compare actual app performance against market expectations. Data is delivered via API, S3, or custom integrations, supporting seamless incorporation into existing analytics pipelines. The service is positioned for institutional investors seeking high‑frequency, high‑resolution mobile consumer intelligence.
Target Audience
Primary customers are institutional investors, equity research analysts, and quantitative trading teams that require up‑to‑date mobile app usage data to inform investment decisions and model validation.
Features
- Proprietary panel of 15 M+ real‑user devices with continuous behavioral tracking
- Core app metrics (downloads, active users, engagement, churn) refreshed up to every 4 hours
- Timestamped historical archive for bias‑free backtesting and forecast validation
- Granular user‑segment insights across verticals such as fintech, transportation, social media, and gaming
- Coverage of 3,500+ publicly listed tickers, enabling ticker‑level performance analysis
- Predictive consumer usage models that benchmark app metrics against market expectations
- Data delivery via API, Amazon S3, or custom integration pipelines for enterprise workflows