SAMPLE Trends 360 - App Session Data APAC | Event Level (1st Party Data w/90M+ records) | User ...

The App Session Data (APAC) dataset delivers comprehensive insights into mobile app usage, user engagement, and behavioral patterns across the Asia-Pacific region. Collected through AI-modeled, OS-level keyboard applications, it represents one of the largest and most reliable sources of first-party, consented mobile session intelligence.

Our applications operate at the OS level, enabling continuous, privacy-safe data collection with an average of 170+ sessions per user per day. Each session is tracked with precise open and close timestamps, allowing for granular measurement of session duration, engagement frequency, and app usage behavior. The dataset is daily refreshed, ensuring high data freshness and relevance.

📊 Key Features & Attributes:
• MAID-Based App Usage Data: Includes hashed Mobile Advertising IDs (GAID) for privacy-compliant user-level analysis.
• App Metadata: App package name, category, and app name — enabling detailed segmentation by vertical (e.g., social, video, shopping).
• Session Events: Includes open_timestamp, close_timestamp, and session_duration to measure precise engagement intervals per user.
• Mobile Attribution Data: Captures device manufacturer, model, carrier, OS type/version, device language, and user agent for deep device-level intelligence.
• Geolocation Data: Includes country, region, and city attributes derived from GPS/IP-based signals for contextual analytics.
• Demographic Layer: Consented and AI-verified gender data linked with hashed device identifiers.
• Daily Refreshed: Ensures up-to-date visibility into app engagement and behavior across millions of active users.

🌍 Geographic & Temporal Coverage:
Covers active users across major APAC markets including India, Indonesia, Malaysia, Thailand, and the UAE. Each user has up to 10+ location updates and 170+ session events per day, providing a dynamic and temporal view of engagement patterns.

⚙️ Use Cases:
• Ad-Tech & Attribution: Enhance MAID-based audience targeting and campaign measurement.
• Behavioral Analytics: Analyze session duration, frequency, and app usage across device types and categories.
• App Intelligence: Benchmark user engagement and session performance across verticals.
• Geospatial Insights: Combine location, app, and device data for regional behavioral mapping.
• Fraud & Identity Verification: Detect abnormal device patterns and session anomalies.