How do I find which product features drive retention with iDBQuery?

Product teams build a lot; knowing which features actually keep customers is what should guide the roadmap. iDBQuery answers it by joining feature usage to retention outcomes.

• It compares retention or churn between customers who adopt a feature and those who do not
• It ranks features by their association with staying, not just by how often they are used
• It lets you segment the analysis by plan, cohort or customer size
• Every figure is a cited answer traceable to usage and billing records

Ask *which features do our retained customers use that churned customers did not?* iDBQuery returns a ranked view of the features most linked to retention. Follow up with *what share of new customers adopt that feature in their first month?* to find an onboarding gap worth closing.

Because iDBQuery builds one live model across product analytics and billing, it connects behaviour to the business outcome that matters, something a usage dashboard alone cannot do. Cited answers give product a defensible reason to prioritise, protect and promote the features that keep customers, and to reconsider the ones that do not earn their keep. Product and growth teams use this to steer the roadmap and onboarding toward what demonstrably drives loyalty.