Mike Duboe | The Post-ATT World | Summary and Q&A

TL;DR

Performance marketing is evolving due to ad tech changes, focusing on e-commerce, personalization, and AI-driven creative solutions.

Key Insights

• 🎉 Privacy regulations like Apple's ATT and the demise of third-party cookies are reshaping ad tech and e-commerce strategies.
• 🔨 AI-driven tools are revolutionizing personalized marketing content generation, providing opportunities for optimized marketing campaigns.
• 😥 Retail media networks offer a new frontier in advertising, enabling brands to target audiences effectively and drive conversions at the point of purchase.
• ❓ Brand differentiation, customer personalization, and retail network optimization are crucial for success in the evolving performance marketing landscape.
• 🫠 Embracing new tools for ideation, creative content generation, and personalization is key for marketers to adapt to changing ad tech challenges.
• 😥 The future of marketing lies in leveraging AI and data to drive actionable insights, enhance customer experiences, and optimize ad targeting strategies.
• 👾 Closing gaps in attribution modeling, personalization, and content creation will be essential for brands to thrive in the competitive e-commerce space.

Transcript

foreign welcome to gray matter the podcast from Greylock where we share stories from company Builders and Business Leaders I'm Mike debeau partner here today I'm excited to Welcome Matt Osman Arisha Jane and Eric Seifert guys I've been really excited for this conversation I think for those of us who have worked in growth marketing or e-commerce the... Read More

Questions & Answers

Q: How did Apple's ATT affect the landscape of performance marketing?

Apple's ATT disrupted the traditional ad tech model, moving towards a probabilistic world, impacting attribution and prompting shifts in personalization strategies.

Q: What role does generative AI play in addressing challenges in e-commerce marketing?

Generative AI tools offer solutions for personalization, ideation, and optimizing creative content generation, enabling more efficient and effective marketing strategies.

Q: Why are retail media networks becoming popular and how do they benefit e-commerce brands?

Retail media networks provide a closed-loop system for targeting and personalization, optimizing ad spend and fostering brand-consumer interactions at the point of purchase.

Q: How can smaller e-commerce brands navigate the impact of changes in ad tech and attribution models?

Smaller brands should focus on specialization in key channels, leverage multi-channel attribution tools, and invest in solutions that enable efficient tracking and optimization.

Summary

In this video, the panel discusses the challenges and changes in the world of performance marketing, particularly in e-commerce, due to factors like Apple's privacy efforts and the shift from deterministic to probabilistic attribution. They explore the impact on smaller merchants, the rise of retail media networks, and the emerging opportunities for software builders. They also touch on the evolution of influencer marketing and the role of AI in creative generation.

Questions & Answers

Q: What are the key factors causing challenges and changes in the world of performance marketing, specifically in e-commerce?

The panel mentions Apple's privacy efforts, such as Intelligent Tracking Prevention (ITP), which blocked third-party cookies and affected Facebook's pixel. They highlight the shift from deterministic to probabilistic attribution and the difficulty of scaling channels due to signal loss. They also discuss the impact of opt-ins and the limitations faced by smaller merchants.

Q: Why did most people not anticipate the impact of Apple's privacy efforts?

The panel explains that people underestimated the impact because of a series of events and misinterpretations. There were industry storytelling and miscommunications about the specific identifier affected by Apple's privacy updates. The timing of implementation and the lookback window further contributed to the surprises. Additionally, many companies, including DTC brands, relied on the assurance from agencies and tech partners that a solution was being worked on.

Q: How did ad networks respond to the challenges faced by marketers?

The panel suggests that ad networks took control away from marketers in response to the changes in privacy policies. They shifted towards in-house marketing activities and automation suites to provide solutions. The move was driven by the networks' access to resources and their motivation to maintain stock prices. The panel also emphasizes the shift from a deterministic world to a probabilistic one, where large machine learning staffs are seen as the solution providers for measurement and attribution.

Q: What challenges do smaller merchants face in terms of attribution?

Smaller merchants face difficulties in attribution due to signal loss and the need for scalable channels. With opt-ins causing a reduction in available data, attribution has become more complex. Scaling further becomes challenging as the return on ad spend (ROAS) decreases on platforms like Facebook. The solution for smaller merchants is to focus on understanding and optimizing their chosen channels before exploring additional ones. Triangulation and the use of multiple tools are common practices for attribution.

Q: What are some emerging methods in the world of performance marketing?

The panel discusses Shopify's efforts in building out their audiences product and helping merchants with traffic generation. They mention the rise of retail media networks, where brands can advertise to consumers at the point of purchase, and the potential for other platforms to create their own retail media networks. The panel also explores the use of generative AI in the creative process, specifically in image modeling and the production of creative assets.

Q: How is Vermont, a company discussed in the video, addressing the changing landscape of influencer marketing?

Vermont addresses the challenges of tracking consumers across websites by creating a self-contained and closed-loop system. They offer a solution where each piece of content or influencer ad directs consumers to a unique store, eliminating the need for tracking. Vermont's system allows brands to have native shopping experiences tied to specific content. This approach also has conversion benefits, as consumers feel more engaged with the content and follow through to transactions.

Q: How should marketers navigate the influx of AI tools for creative generation?

The panel suggests considering whether the opportunity lies with incumbents or startups when it comes to AI tooling. They predict that tooling around generative AI will end up in incumbent design tools, making the production part of creative much easier. They mention Adobe's Firefly Suite and Figma's stable diffusion as examples. Marketers should carefully evaluate the tools being marketed to them and consider their potential ROI and integration with existing workflows.

Takeaways

The world of performance marketing, particularly in e-commerce, has undergone significant changes due to factors like Apple's privacy efforts and the shift from deterministic to probabilistic attribution. Smaller merchants face challenges in attribution and scaling channels. The rise of retail media networks presents opportunities for advertising at the point of purchase. AI tools, especially in creative generation, have the potential to improve the production process for marketers. However, careful evaluation of these tools is necessary to determine their real value and integration within existing workflows.

Summary & Key Takeaways

• Growth marketing and e-commerce are evolving rapidly due to changes in ad tech like Apple's ATT, challenging traditional assumptions.

• Shifts in performance marketing are prompting new strategies for founders, emphasizing actionable lessons for success.

• Personalization, AI-driven tools, and retail media networks offer promising avenues for optimizing marketing performance.