How does iDBQuery help a growth marketer?
A growth marketer can use iDBQuery to analyse funnels, cohorts and channel performance in plain language across product, CRM and ad data, with every figure cited to its source. It unifies those sources into one live model, so testing and optimisation stop being blocked on analyst bandwidth.
Growth work moves fast, but the data to guide it sits in product tables, the CRM, ad platforms and spreadsheets. iDBQuery joins them into one live model so a growth marketer can measure, segment and iterate in plain language, with citations behind every number.
Questions a growth marketer asks iDBQuery: - What is our signup-to-activation conversion rate, and where in the funnel do people drop off? - How do retention curves compare across acquisition channels for the last three monthly cohorts? - Which campaigns brought in users with the highest 90-day retention?
Because answers cite the exact rows, you can trust an experiment readout instead of second-guessing it, and drill from a headline conversion rate into the users behind it with a follow-up question. iDBQuery writes and shows its SQL, so if you know a little you can verify or tweak the logic, and if you don't, you never have to. It queries live data in place, so your funnel and cohort numbers are current rather than a stale export — letting you run more tests, read them faster, and act without waiting in the analytics queue.
Updated 2026-06-22