This episode debunks the myth of blindly scaling ad spend in Q4, revealing how day-of-week and month-over-month seasonality dramatically impact revenue. Learn to analyze your brand's unique sales patterns using real client data to optimize your media buying, improve forecasting, and strategically allocate your budget like a portfolio manager, particularly around critical sales events like BFCM.
Key takeaways
Analyze your own brand's day-of-week and month-over-month revenue patterns, as seasonality varies significantly even within the same industry.
Do not blindly scale ad spend in Q4; instead, use data to understand your specific brand's seasonal peaks and adjust budgets accordingly to avoid wasted ad dollars.
Employ the "Spend <> aMER model" for quantifiable insights into media buying and forecasting, treating ad spend allocation like a financial portfolio.
Re-evaluate your BFCM budget planning by understanding common pitfalls and developing a strategic, data-informed approach rather than a reactive one.
When should you really be spending more? Which days of the week drive the most revenue—for your brand?In this episode, Richard is joined by Luke Austin (VP of Growth at Common Thread Collective) to walk through real client data and uncover just how different day-of-week and month-over-month effects can be across brands, even within the same vertical.You’ll learn:Why blindly scaling spend in Q4 might be a mistakeHow day-of-week effects can swing revenue potential by over 30%Why trying to “fix” bad days isn’t always worth itWhat most brands miss when planning their BFCM budgetHow to think like a portfolio manager when allocating ad spendWhether you’re a home goods brand, fitness apparel company, or in personal care, Luke shows how the Spend aMER model can give you a quantifiable edge in media buying and forecasting.Plus, learn why Fridays might be gold—or garbage—depending on your category.Show Notes:Ready to earn trust, convert shoppers, and inspire customer loyalty? Check out Yotpo: https://www.yotpo.com/?utm_source=CommonThreadCollective&utm_medium=comarketing&utm_term=podcastExplore the Prophit System: https://prophitsystem.comHave a question for the podcast?Email us at podcast@commonthreadco.com
What does this episode say about paid acquisition?
Analyze your own brand's day-of-week and month-over-month revenue patterns, as seasonality varies significantly even within the same industry.
What does this episode say about analytics & attribution?
Do not blindly scale ad spend in Q4; instead, use data to understand your specific brand's seasonal peaks and adjust budgets accordingly to avoid wasted ad dollars.
What does this episode say about dtc strategy?
Employ the "Spend <> aMER model" for quantifiable insights into media buying and forecasting, treating ad spend allocation like a financial portfolio.
What does this episode say about paid acquisition?
Re-evaluate your BFCM budget planning by understanding common pitfalls and developing a strategic, data-informed approach rather than a reactive one.
