This episode challenges the common approach to Meta (Facebook) ads, advocating for a strategy that maximizes creative diversity and leverages cost caps to efficiently identify winning ad content. It emphasizes letting Meta's machine learning optimize ad spend rather than relying on human assumptions about what constitutes a 'good' ad, ultimately leading to greater scalability and profitability for ecommerce brands.
Key takeaways
Prioritize launching a high volume of diverse creative assets into Meta ads; don't filter based on assumptions or past performance of a single creative type.
Implement aggressive cost caps, setting them 30-50% below your current CPA, to force Meta's algorithm to identify the most efficient ad creative for your target cost.
Gradually increase cost caps every 24-48 hours once ads start spending, continually optimizing for profitability and identifying new scaling opportunities.
Do not try to outsmart Meta's machine learning; instead, provide it with maximum creative options and leverage its bidding strategies to find what truly resonates with your audience.
Recognize that influencer-generated content, even if not professionally polished or intended for ads, often outperforms studio-produced content because influencers are adept at creating native social media content.
Today we're gonna get into the nitty gritty of paid media, our strategy at Kinship, and how we implement all influencer content to get 150 plus assets. In this episode, you’ll learn: The difference between a good ad & a bad ad How to effectively launch content into ads Max out your ad account with dynamic creative testing How to maximize the efficiency of Cost Caps Best practices for Facebook/Meta ad account Cody Wittick: Twitter | Taylor Lagace: Twitter
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What does this episode say about paid acquisition?
Prioritize launching a high volume of diverse creative assets into Meta ads; don't filter based on assumptions or past performance of a single creative type.
What does this episode say about ai & automation?
Implement aggressive cost caps, setting them 30-50% below your current CPA, to force Meta's algorithm to identify the most efficient ad creative for your target cost.
What does this episode say about influencer & creator?
Gradually increase cost caps every 24-48 hours once ads start spending, continually optimizing for profitability and identifying new scaling opportunities.
What does this episode say about dtc strategy?
Do not try to outsmart Meta's machine learning; instead, provide it with maximum creative options and leverage its bidding strategies to find what truly resonates with your audience.
What does this episode say about paid acquisition?
Recognize that influencer-generated content, even if not professionally polished or intended for ads, often outperforms studio-produced content because influencers are adept at creating native social media content.
