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Adjust is a mobile measurement and marketing analytics platform. Its connector exposes a single configurable reporting endpoint that returns daily KPI rows; the business objects below represent the metric and dimension families available within that report.
The core daily KPI report joining selected metrics to selected dimensions. The grain is one row per day per dimension combination, forming the fact table that all mobile marketing analysis is built on.
Install volume and attribution outcomes such as installs, paid/organic installs, non-organic installs, reattributions, and deattributions. Used to measure user acquisition and channel attribution effectiveness.
Marketing cost metrics including ad spend (cost, network_cost, adjust_cost), install cost, click cost, and impression cost. Used to track campaign budgets and feed efficiency analysis.
Click and impression engagement metrics (clicks, paid_clicks, impressions, paid_impressions, network_clicks, network_impressions) plus conversion rates (CTR, CCR, ICR). Used to evaluate top-of-funnel ad performance.
Per-action cost and yield ratios such as eCPC, eCPI, eCPM, IPM, revenue-to-cost ratio, and limit-ad-tracking rates. Used to compare cost-effectiveness across networks and campaigns.
Monetization and return metrics including revenue, ad_revenue, all_revenue, cohort revenue variants, gross profit, ROAS (ad/iap/all), ROI, and ARPDAU. Used to tie marketing spend to revenue outcomes.
App usage and event metrics such as sessions, base_sessions, total events, revenue_events, and average active users (DAUs, WAUs, MAUs). Used to measure ongoing user engagement and retention.
App dimension fields identifying the application: app, app_token, store_id, store_type, and app_network. Used to segment reporting by product and app store.
Ad hierarchy dimensions covering network, campaign, adgroup, creative, source, and partner (including network-reported names and IDs). Used to attribute performance down to the creative and partner level.
Audience and context dimensions including country, country_code, region, os_name, device_type, currency, and currency_code. Used to break down performance by location, platform, and device.
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