This episode explains a contrarian yet highly effective Meta Ads strategy focused on dynamic creative testing and cost caps. Instead of predicting ad performance, brands should launch a high volume of diverse creative assets (especially influencer content), leverage Meta's machine learning with aggressive cost caps, and incrementally adjust bids to find profitable spend opportunities. This approach minimizes wasted ad spend and uncovers winning creatives an internal team might overlook.
Key takeaways
Prioritize quantity and diversity in creative assets: Launch as many varied creatives as possible rather than relying on a few 'perfect' ones. This includes different formats (testimonials, unboxing, use cases) and sources (influencers, UGC).
Leverage Meta's machine learning with cost caps: Don't try to outsmart the algorithm. Set aggressively low cost caps to prevent spend on underperforming ads and let Meta optimize delivery.
Incrementally increase cost caps: Start with very low cost caps where ads won't spend. Gradually raise them every 24-48 hours until ads begin to deliver profitably within your target CPA. This systematic approach identifies winning creatives efficiently.
Leave ego at the door: Avoid prematurely judging creative potential. Even seemingly 'bad' or unpolished content can unexpectedly scale ad accounts, as demonstrated by the case study of the 'apathetic' influencer video.
Influencers are built for platform-specific content: Recognize that influencers are often better at creating engaging, platform-native content than internal teams or studio shoots, making their output ideal for dynamic creative testing.
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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Frequently asked about this episode
What does this episode say about paid acquisition?
Prioritize quantity and diversity in creative assets: Launch as many varied creatives as possible rather than relying on a few 'perfect' ones. This includes different formats (testimonials, unboxing, use cases) and sources (influencers, UGC).
What does this episode say about influencer & creator?
Leverage Meta's machine learning with cost caps: Don't try to outsmart the algorithm. Set aggressively low cost caps to prevent spend on underperforming ads and let Meta optimize delivery.
What does this episode say about ai & automation?
Incrementally increase cost caps: Start with very low cost caps where ads won't spend. Gradually raise them every 24-48 hours until ads begin to deliver profitably within your target CPA. This systematic approach identifies winning creatives efficiently.
What does this episode say about conversion & cro?
Leave ego at the door: Avoid prematurely judging creative potential. Even seemingly 'bad' or unpolished content can unexpectedly scale ad accounts, as demonstrated by the case study of the 'apathetic' influencer video.
What does this episode say about paid acquisition?
Influencers are built for platform-specific content: Recognize that influencers are often better at creating engaging, platform-native content than internal teams or studio shoots, making their output ideal for dynamic creative testing.
