How does iDBQuery help a marketing analyst?
iDBQuery lets a marketing analyst measure campaign performance, channel ROI and attribution across ad platforms, web analytics, CRM and spreadsheets by asking in plain language, returning cited charts and tables without stitching exports together or waiting on the data team.
Marketing data is scattered across ad platforms, web analytics, the CRM and a pile of exported spreadsheets, and joining it is usually the analyst's least favourite part of the job. iDBQuery pulls those sources into one live model so you can ask a marketing question end to end.
Questions a marketing analyst asks iDBQuery: - Which channels drove the most pipeline per dollar spent last quarter? - What is our cost per qualified lead by campaign this month versus target? - How does trial-to-paid conversion differ by acquisition source?
iDBQuery connects to ad-platform and analytics data through REST APIs, warehouses or CSV exports, joins it to the CRM, and writes the SQL for you. Instead of rebuilding a spend-versus-pipeline spreadsheet every week, you ask the question and get a chart or live dashboard back.
The differentiator that keeps analysts credible: every figure is cited back to its source row, so a ROI or attribution number can be traced to the exact spend and conversion records rather than taken on faith. That matters when a channel owner disputes their cost per lead.
iDBQuery does not replace your analytics stack; it lets you interrogate everything at once, prototype metrics fast, and hand simple self-serve questions back to the marketing team so you can focus on the analysis that changes budget decisions.
Updated 2026-06-22