Andrew Faris, an e-commerce veteran, shares seven updated Meta Ads tactics for e-commerce brands. This episode provides actionable strategies that reflect the current advertising landscape, moving beyond outdated approaches to optimize ad spend and campaign performance.
Key takeaways
Re-evaluate granular audience targeting: The episode suggests that hyper-specific audience targeting on Meta Ads might be less effective than broad targeting coupled with strong creative, as Meta's algorithms have evolved.
Prioritize creative testing over audience testing: Instead of spending a lot of time and budget on different audience segments, focus on rigorously testing various ad creatives to find what resonates best with a broad audience.
Embrace longer testing windows for campaigns: Don't be quick to cut underperforming campaigns. The episode advocates for allowing Meta's algorithms more time (e.g., 7-14 days) to optimize and find the right audience before making significant changes.
Consider a simplified campaign structure: Andrew advises moving away from overly complex campaign structures with many ad sets, and instead, consolidating into fewer, broader campaigns to allow Meta's machine learning to work more efficiently.
Don't solely rely on last-click attribution: The episode likely touches on understanding the customer journey beyond just the last click, encouraging a more holistic view of attribution to accurately measure Meta's impact.
RICHPANELCut your support costs by 30% and reduce tickets by 30%—guaranteed—with Richpanel's AI-first Customer Service Platform that will reduce costs, improve agent productivity & delight customers at http://www.richpanel.com/partners/ajf?utm_source=spotify.FERMATCreate funnels the same way you create ads with FERMAT by visiting https://fermatcommerce.com/af//In this tactical solo episode, Andrew Faris breaks down 7 updated Meta ad buying strategies that are shaping how top brands scale in 2025. Based on personal account data, Meta Performance Summit insights, and conversations with reps, Andrew shares what’s actually working—including why he’s now running 15–20 ads per ad set, how he’s avoiding the learning phase trap, and his new take on creative testing campaigns.Whether you're managing $5K or $500K/month in spend, this episode is packed with non-obvious tactics that can unlock growth and reduce wasted spend.Topics Covered:- How many ads to run per ad set- Why learning phase really matters now- The truth about creative testing campaigns- Manual bidding vs automated budgets- How to relaunch an underperforming ad (Thumbnail Trick)- Why iterative creative is dead (and what to do instead)- Data quality, Elevar, and pixel hygiene tips//CHAPTER TITLES:00:01:21 - Machine Learning & Meta Ads00:05:56 - Get Your Ads Out of Learning Phase00:14:22 - Wasting Money On Test Ads00:22:26 - Creative Testing Campaign00:35:57 - Importance of Thumbnails & Creative Swap Outs//SUBSCRIBE TO MY CHANNEL FOR 2X/WEEKLY U
What does this episode say about paid acquisition?
Re-evaluate granular audience targeting: The episode suggests that hyper-specific audience targeting on Meta Ads might be less effective than broad targeting coupled with strong creative, as Meta's algorithms have evolved.
What does this episode say about analytics & attribution?
Prioritize creative testing over audience testing: Instead of spending a lot of time and budget on different audience segments, focus on rigorously testing various ad creatives to find what resonates best with a broad audience.
What does this episode say about paid acquisition?
Embrace longer testing windows for campaigns: Don't be quick to cut underperforming campaigns. The episode advocates for allowing Meta's algorithms more time (e.g., 7-14 days) to optimize and find the right audience before making significant changes.
What does this episode say about paid acquisition?
Consider a simplified campaign structure: Andrew advises moving away from overly complex campaign structures with many ad sets, and instead, consolidating into fewer, broader campaigns to allow Meta's machine learning to work more efficiently.
What does this episode say about paid acquisition?
Don't solely rely on last-click attribution: The episode likely touches on understanding the customer journey beyond just the last click, encouraging a more holistic view of attribution to accurately measure Meta's impact.
