How does iDBQuery help a paid media analyst?
A paid-media analyst can use iDBQuery to compare spend, ROAS and conversions across ad platforms in plain language and get cited answers in seconds. It joins Google, Meta and other ad data with CRM and revenue into one live model, so cross-channel performance is measurable without stitching spreadsheets.
Paid media lives across multiple ad platforms, each with its own dashboard and export — making a true cross-channel view painful to assemble. iDBQuery joins them, plus CRM and revenue data, into one live model and answers in plain language with citations behind every number.
Questions a paid-media analyst asks iDBQuery: - What is blended ROAS across Google, Meta and LinkedIn this month, by campaign? - Which ad sets have rising cost per acquisition week over week? - How much revenue did paid search drive versus paid social this quarter?
Ad platforms connect through iDBQuery's REST API connector and join with your CRM and finance data, so spend on one side and revenue on the other finally sit in the same answer. Every figure cites its source, so budget-shift recommendations rest on numbers you can defend. iDBQuery writes and shows its SQL, keeps context across follow-ups, and turns recurring analysis into a live dashboard for pacing reviews. You get a unified, revenue-anchored view of paid performance without exporting a single CSV or waiting on a data engineer to build a pipeline.
Updated 2026-06-22