Should I test personalized vs. non-personalized versions?

Yes, testing personalized versus non-personalized versions is essential validation:

Personalization is not automatically better. Some audiences find it creepy or invasive. Poorly executed personalization (wrong name, irrelevant recommendations) can hurt performance.

Test the assumption that personalization helps. Many marketers implement personalization without ever validating its impact for their specific audience.

Segment the analysis: Personalization may work for some segments but not others. New subscribers might respond differently than loyal customers.

Consider data quality: If your personalization data is incomplete or inaccurate, non-personalized versions may actually perform better.

Test each personalization type separately: Name personalization might help while behavioral personalization hurts, or vice versa.

Personalization is a hypothesis, not a fact. Test it like any other hypothesis before committing resources.