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data.ai

data.ai aggregates daily download, revenue, and engagement data from major app stores into a unified data lake and provides KPI dashboards, cohort analysis, and competitive benchmarking tools. The platform offers a RESTful API and SDKs for integration with BI, attribution, and marketing systems, enabling app developers and publishers to automate reporting, detect anomalies, and optimize acquisition and product strategies.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

App developers and mobile publishers often lack timely, consolidated visibility into app store performance, user acquisition costs, and competitor activity, making it difficult to allocate marketing spend, optimize acquisition strategies, and track product health across multiple marketplaces.

Solution

data.ai aggregates download, revenue, and engagement metrics from major app stores into a single, continuously refreshed data repository. The platform delivers interactive dashboards, cohort analyses, and competitive benchmarking tools that translate raw store data into actionable insights. By exposing a RESTful API and SDKs, data.ai enables integration with internal business‑intelligence, attribution, and marketing systems, allowing teams to automate reporting and trigger alerts when key performance indicators shift. This data‑driven workflow helps developers and publishers refine ASO, optimize ad spend, and prioritize product roadmap decisions.

Target Audience

Primary customers are mobile app developers, publishers, and growth or product teams that need granular market intelligence to guide acquisition, retention, and competitive strategies.

Features

  • Unified data lake covering iOS App Store, Google Play, and emerging marketplaces, refreshed daily for near‑real‑time accuracy
  • KPI dashboards for downloads, revenue, active users, retention, and cost‑per‑install, with drill‑down by geography, device, and source
  • Competitive benchmarking engine that tracks rival app performance, keyword rankings, and release timelines
  • Cohort and funnel analysis tools for segmenting users by acquisition channel, in‑app events, and lifecycle stage
  • RESTful API and SDKs for programmatic data access, supporting integration with BI, attribution, and marketing platforms
  • Automated anomaly detection with email/webhook alerts for sudden changes in rankings, reviews, or spend efficiency
  • Exportable, white‑label reports and visualizations for stakeholder presentations
This profile is AI-generated and may contain inaccuracies.