Attribution & Conversion Measurement Questions
Measuring what drives a conversion: event tracking and instrumentation, attribution models (first-touch, last-touch, multi-touch), and connecting user actions to outcomes. Covers the analytics plumbing for reliable conversion measurement and the limits of each attribution approach. The scope is the measurement layer for conversions, not the creative or channel strategy that generates them.
HardTechnical
41 practiced
Explain how to attribute conversion uplift to a product experiment when users interact with multiple marketing touchpoints (email, ads) during the experiment window. Discuss use of holdout groups, mediation analysis, and experimental designs that isolate product effects from marketing incrementality.
MediumTechnical
36 practiced
Write SQL to compute last-non-direct-touch attribution for conversion events using UTM-based campaign fields and a sessions/events table:Return the attributed campaign for each purchase where 'direct' should be ignored in favor of the last non-direct campaign within the lookback window.
sessions(session_id, user_id, session_start, source, medium, campaign)
events(event_id, session_id, user_id, event_name, event_time)MediumTechnical
33 practiced
Explain cross-domain attribution challenges between shop.example.com and checkout.examplepayments.com. Discuss cookie behavior, UTM preservation, referral overrides, and technical approaches (linker parameters, first-party cookies, server-side forwarded identifiers) to maintain user identity and campaign attribution.
HardTechnical
36 practiced
A third-party vendor provides an attribution dataset that conflicts with your internal metrics. Outline a detailed audit plan: reconciliation checks you would run (unique users, conversions by date/channel), timestamp and timezone alignment, deduplication checks, sampling differences, and manual log-sampling tests. List which statistical tests and visualizations you'd use to communicate discrepancies to the vendor.
MediumTechnical
60 practiced
A product manager wants to understand the incremental effect of promo codes on orders. Describe an attribution approach to estimate incremental orders and revenue generated by promotions versus orders that would have happened anyway. Include experimental and observational approaches and what instrumentation and tagging you would require.
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