How does iDBQuery help a demand generation manager?
A demand-gen manager can use iDBQuery to track MQLs, pipeline contribution and cost per lead in plain language across ad platforms, marketing automation and the CRM, with cited answers in seconds. It joins those sources into one live model so campaign performance is measurable end to end without manual exports.
Demand generation is judged on pipeline, not clicks — but connecting a campaign to the revenue it created means stitching ad platforms, marketing automation and the CRM together. iDBQuery does that in one live model and answers in plain language, citing every figure to its source.
Questions a demand-gen manager asks iDBQuery: - What is our cost per MQL and cost per opportunity by campaign this quarter? - How many leads from last month's webinar converted to pipeline, and worth how much? - Which channels are producing leads that sales actually accepts?
Ad and automation platforms connect through iDBQuery's REST API connector and join cleanly with CRM data, so you can follow a lead from first touch to closed revenue in a single answer. Every figure cites its source row, so your funnel metrics stand up to scrutiny from sales and finance. Turn the view into a live dashboard for weekly reviews, ask follow-ups that keep context, and export to Excel or a shareable report. You get a full-funnel picture without ETL, a data request, or a spreadsheet marathon.
Updated 2026-06-22