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How do you use A/B testing to refine channel mix decisions?
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Counterpart Marketing Lead | Formerly Issuu, OpenText, Webroot • March 26
A/B testing helps optimize performance, but not everything is worth testing. Prioritize high-impact areas like:
Messaging & positioning: Which key value props resonate most?
Channel selection: Does LinkedIn drive higher engagement than Google Ads?
Audience targeting: Are broader or more niche segments performing better?
While testing is important, some decisions require a strategic bet rather than waiting on perfect data. The balance is knowing when to test and when to trust experience.
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