How is iDBQuery used by online marketplaces?

Marketplaces have to watch two sides at once, supply and demand, plus transactions, payouts and product usage. iDBQuery builds one live queryable model across your application database and analytics so product, ops and finance ask plain-language questions and get a cited answer.

Common questions:

• What is GMV, take rate and net revenue by category and region?
• Show new versus returning buyer mix and repeat rate by cohort.
• Which sellers drive the most GMV, and where is seller churn rising?
• What is match/fill rate and time-to-first-transaction for new users?
• Where is liquidity thin (demand without supply, or vice versa)?

iDBQuery connects MySQL, Postgres or MongoDB plus analytics exports and payment CSVs together with no pipeline, joins them, and cites each figure to the source row, so board and investor metrics are trustworthy. The Analyst agent can investigate a drop in liquidity or conversion on its own, and the Embedded SDK can even surface analytics to sellers inside your product.

Deployment is flexible: cloud, your own VPC, or query-in-place to keep sensitive transaction data local. The differentiator over generic BI is that non-technical teammates get instant, two-sided answers across every source, each number auditable back to source, with no analyst bottleneck.