Sensor TowerInstall

Summary

Retrieve active user metrics for specified mobile apps over a defined time period.

Inputs

• OS — Select the operating system platform to query (iOS or Android). Defaults to iOS.
• App IDs (comma-separated) (required) — Comma-separated list of app IDs to retrieve active user data for.
• Time Period — Select the aggregation period for active users: day, week, or month. Defaults to day.
• Start Date (YYYY-MM-DD) (required) — The start date of the time range for the active users data, formatted as YYYY-MM-DD.
• End Date (YYYY-MM-DD) (required) — The end date of the time range for the active users data, formatted as YYYY-MM-DD.
• Countries (comma-separated) — Optional comma-separated list of countries to filter the active user data by.
• Data Model — Optional data model string to specify the format or schema of the returned data.

Output shape

A list of JSON objects containing active user statistics per specified app and time period.

The output reflects the Sensor Tower API response for active user metrics and includes data filtered by the provided parameters. Multiple app IDs are supported by comma separation. If countries are specified, data is filtered to those markets. The data model parameter affects the structure or details of returned data per API.

Examples

Example 1: Retrieve daily active users for multiple iOS apps in the US during January 2024.

Set OS to iOS, specify app IDs as '123,456', time period to 'day', start date to '2024-01-01', end date to '2024-01-31', and countries to 'US'.