Question: A digital marketing manager working with a national insurance provider is looking to support AI with first-party data. What's a question they'll need to answer before they can start using the data?
- How can our data collection policies encourage our customers to share as much as possible?
- How much data storage capability is available on each marketing team member's corporate device?
- How can we begin to use this data as quickly as possible, even if it means not aligning with other teams?
- How are we aligned with local regulations on data collection and user privacy to ensure we are using first-party data the right way?
Explanation
Using first-party data to support Google AI requires a privacy-safe foundation before activation. Data collection and use must align with applicable user consent, privacy, and regulatory requirements. This is especially important for sensitive industries because customer data must be handled responsibly. Strong governance improves data quality while protecting how customer signals are used in Google Ads.
Why the other options are incorrect
Speed without alignment can create privacy, compliance, and data quality risks.
Maximum data collection is not the goal because first-party data should be collected and used responsibly.
Device storage does not determine whether customer data is appropriate for AI-powered marketing.
Source for verification
https://support.google.com/google-ads/answer/6334160
https://support.google.com/google-ads/answer/13258081
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Ads AI-Powered Performance Ads Assessment" page.
