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Google Analytics & Attribution Flashcards

7 cards from real CPM practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Google Analytics & Attribution flashcards as text
  1. In GA4, what is a 'BigQuery export' used for?

    Answer: Exporting raw, unsampled event-level data for custom analysis

    GA4's BigQuery export streams raw, event-level data to BigQuery, enabling unsampled custom analysis and integration with other data sources.

  2. What problem does 'cookie-less tracking' address in modern attribution?

    Answer: Measuring conversions when third-party cookies are blocked by browsers or privacy regulations

    Cookie-less tracking methods such as server-side tagging and modeled conversions help measure attribution when browsers block third-party cookies, preserving measurement accuracy.

  3. Which GA4 feature uses machine learning to fill measurement gaps caused by users who decline cookie consent?

    Answer: Conversion modeling

    GA4's conversion modeling uses machine learning to estimate conversions from users who declined consent, helping maintain accurate reporting despite consent gaps.

  4. A marketer wants to compare which attribution model gives the most credit to paid social. Which GA4 section provides this comparison?

    Answer: Model comparison tool in the Advertising section

    GA4's Advertising section includes a model comparison tool that shows how different attribution models distribute conversion credit across channels side by side.

  5. What is 'position-based attribution' (also called U-shaped)?

    Answer: Assigning 40% credit to the first and last touchpoints and distributing the remaining 20% across middle interactions

    Position-based (U-shaped) attribution assigns 40% credit each to the first and last touchpoints and spreads the remaining 20% among all middle interactions.

  6. What does 'server-side tagging' improve compared to client-side tagging in GA4 implementations?

    Answer: It improves data accuracy and privacy compliance by processing tags on the server before sending to analytics platforms

    Server-side tagging moves tag execution from the user's browser to a server, improving data accuracy by bypassing ad blockers and giving more control over what data is shared with third parties.

  7. In the context of GA4 attribution, what is the benefit of 'user-ID tracking'?

    Answer: It allows GA4 to track users across devices and sessions by linking behavior to a consistent identifier

    User-ID tracking assigns a consistent identifier to logged-in users, allowing GA4 to stitch together cross-device and cross-session behavior for more accurate attribution and journey analysis.