How is iDBQuery used by gaming studios?
Gaming studios use iDBQuery to ask plain-language questions across player, session, monetisation and live-ops data, getting cited answers in seconds without SQL. It builds one live model over your game database and analytics so teams track retention, ARPU and engagement without pipelines or a data team.
Game studios track players across game databases, analytics events, payment systems and live-ops tools. iDBQuery builds one live model across them so product, live-ops and monetisation teams ask plain-language questions and get a cited answer.
Examples:
- What is D1/D7/D30 retention by cohort and acquisition channel?
- Show ARPU, ARPPU and conversion-to-payer by segment.
- Which levels or features have the biggest drop-off (funnel)?
- What is revenue by in-app purchase and by live-ops event?
- How did the last update affect session length and retention?
iDBQuery connects the game database, analytics exports and payment CSVs together with no pipeline, joins them, and cites each figure to the source row, so studio and publisher reporting is trustworthy. The Analyst agent can investigate a retention drop after a release on its own.
Deployment is flexible: cloud, your own VPC, or the Desktop app with query-in-place to keep player and revenue data local. The differentiator over stitching together dashboards or waiting on a data team is that designers and producers get instant, cohort-level answers across every source at once, each number traceable back to source, so live-ops decisions rest on trustworthy numbers.
Updated 2026-06-22