Why Q4 2025 Hits Different Shahrez Anjum and Laurie Tovo of Acadia - Episode 416
Ecommerce Braintrust
· with Shahrez Anjum and Laurie Tovo
· October 28, 2025
· 24 min
Summary
Q4 2025 demands a strategic pivot for ecommerce brands. Macroeconomic pressures and AI-driven consumer behavior necessitate a shift from aggressive, blanket promotions to highly selective, personalized strategies and sophisticated targeting. Brands must leverage advanced advertising, optimize Amazon strategies, and prepare for a future where customer data and AI-powered search dominate discovery.
Key takeaways
Don't rely on aggressive, catalog-wide Q4 promotions; instead, implement selective and targeted promotional strategies in response to economic shifts and changing consumer behavior.
Integrate AI into your Q4 strategy, understanding that tools like Amazon's Rufus chatbot are changing product discovery from keyword-based to behavioral signals and personalized content.
Optimize your Amazon strategies by understanding changes to promotional fees, expanded Subscribe & Save funding, and the impact of automated multipacks on organic and paid efforts.
Implement advanced advertising tactics like AMC Audiences and behavioral targeting to deliver segmented and effective messaging across the customer journey.
Prepare for a post-2025 ecommerce landscape by focusing on collecting and leveraging customer data, anticipating the end of commingled inventory, and adapting to AI-driven personalized shopping experiences.
Themes
ai in ecommerceamazon seller strategyq4 strategyretail media
🎙️Interview With Shahrez Anjum and Laurie Tovo of Acadia DESCRIPTION Welcome to The Ecommerce Braintrust podcast, brought to you by Julie Spear, Head of Retail Marketplace Services, and Jordan Ripley, Director of Retail Account Management. Today we're joined by two fantastic guests from Acadia: Shahrez Anjum from our Account Management team and Laurie Tovo from our Retail Media team. They're here to break down what's unique about this year's Q4: what's changing, what you should be watching, and why this holiday season won't look like the last one. Quote: The vibe has definitely changed. Brands are less aggressive than last year. There's more selectivity, more intention, less 'go all-in on everything for 12 days straight. Shahrez Anjum KEY TAKEAWAYS In this episode, Julie, Jordan, Laurie, and Shahrez discuss: How Q4 2025 compares to recent years: From aggressive, catalog-wide deals to more selective and targeted promotional strategies, especially following tariff changes and economic uncertainty. The influence of macroeconomic factors: Brands are feeling the effects of inflation, volatility, and changing consumer stamina for deals, which is shaping a more cautious approach to sales periods and media investment. AI's growing role in ecommerce: How AI, like Amazon's Rufus chatbot, is changing the way shoppers search for and discover products, shifting the focus from keywords to behavioral signals and personalized content. Amazon merchandising and promo capabilit
Frequently asked about this episode
What does this episode say about ai in ecommerce?
Don't rely on aggressive, catalog-wide Q4 promotions; instead, implement selective and targeted promotional strategies in response to economic shifts and changing consumer behavior.
What does this episode say about amazon seller strategy?
Integrate AI into your Q4 strategy, understanding that tools like Amazon's Rufus chatbot are changing product discovery from keyword-based to behavioral signals and personalized content.
What does this episode say about q4 strategy?
Optimize your Amazon strategies by understanding changes to promotional fees, expanded Subscribe & Save funding, and the impact of automated multipacks on organic and paid efforts.
What does this episode say about retail media?
Implement advanced advertising tactics like AMC Audiences and behavioral targeting to deliver segmented and effective messaging across the customer journey.
What does this episode say about ai in ecommerce?
Prepare for a post-2025 ecommerce landscape by focusing on collecting and leveraging customer data, anticipating the end of commingled inventory, and adapting to AI-driven personalized shopping experiences.
