The iOS 14.5 update created significant challenges for DTC advertisers due to substantial event signal loss. This episode provides actionable strategies for navigating this new landscape, focusing on rebuilding attribution models, leveraging Google Analytics, and adopting a blended CaC approach. It highlights how to maintain smart scaling and adapt targeting strategies in a privacy-first world.
Key takeaways
Implement a blended Customer Acquisition Cost (CaC) model, focusing on 'ecosystem/blended CaC' as the golden metric for long-term business health, rather than relying solely on platform-specific ROAS.
Utilize Google Analytics as a robust backup, "duct-taping" fragmented data to gain a clearer picture of attribution and campaign performance in the face of signal loss.
Shift towards broader targeting strategies on platforms like Facebook Ads and Google Ads to adapt to reduced data fidelity and maintain reach in a privacy-conscious environment.
Be prepared to re-evaluate and rebuild existing attribution models, recognizing that traditional methods are no longer sufficient post-iOS 14.5 due to significant data loss.
Explore new tools and methodologies (like Pilothouse's Rubix) that help synthesize fragmented data and provide better insights into advertising performance and attribution.
When metrics look chaotic, focus on underlying business health signals like customer acquisition cost and overall ecosystem performance rather than panicking over platform-specific ROAS declines.
Subscribe to DTC Newsletter - https://dtcnews.link/signup Advertising in the post iOS14.5 world is a real adventure. With event signal loss as high as 40% advertisers everywhere are scrambling to find direction and to build attribution models that allow them to keep scaling smartly.
Pilothouse vets from the exec level, as well as internal team leads from our Facebook Ads and Google Ads team gathered today to discuss the steps we're taking to mitigate the loss in data fidelity across all platforms. How to duct tape it together with GA What to do when things look hairy Why ecosystem/blended CaC is the golden metric The move into broad targeting Pilothouse's new tool Rubix and how you can test it Subscribe to DTC Newsletter - https://dtcnews.link/signup
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Work with Pilothouse - https://dtcnews.link/pilothouse
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Watch this interview on YouTube - https://dtcnews.link/video
What does this episode say about paid acquisition?
Implement a blended Customer Acquisition Cost (CaC) model, focusing on 'ecosystem/blended CaC' as the golden metric for long-term business health, rather than relying solely on platform-specific ROAS.
What does this episode say about analytics & attribution?
Utilize Google Analytics as a robust backup, "duct-taping" fragmented data to gain a clearer picture of attribution and campaign performance in the face of signal loss.
What does this episode say about dtc strategy?
Shift towards broader targeting strategies on platforms like Facebook Ads and Google Ads to adapt to reduced data fidelity and maintain reach in a privacy-conscious environment.
What does this episode say about paid acquisition?
Be prepared to re-evaluate and rebuild existing attribution models, recognizing that traditional methods are no longer sufficient post-iOS 14.5 due to significant data loss.
What does this episode say about paid acquisition?
Explore new tools and methodologies (like Pilothouse's Rubix) that help synthesize fragmented data and provide better insights into advertising performance and attribution.
