This episode breaks down how top DTC brands leverage real-time hourly ad spend optimization to achieve and surpass Black Friday and Cyber Monday targets. It emphasizes the critical role of hourly tracking in making immediate, data-driven decisions to adjust ad spend and capitalize on buyer behavior during peak shopping days, transforming what could be missed opportunities into significant gains for ecommerce operators.
Key takeaways
Implement hourly tracking of ad spend and revenue on critical sales days like Black Friday and Cyber Monday to identify pacing issues immediately.
Utilize last year's hourly performance data as a predictive model for current year forecasting and to guide real-time adjustments in ad spend.
Be prepared to scale ad spend up or pull it back dynamically based on real-time hourly data to optimize for both revenue and profit. For instance, if performance is strong, increase spend; if it lags, identify why and adjust.
Understand that hourly data reveals crucial real-time buyer behavior patterns that static daily reports miss, enabling more agile and effective marketing decisions.
Integrate hourly tracking with a comprehensive forecasting model like the "Prophit System" to ensure daily targets are granular and actionable, providing a clear roadmap for success.
Black Friday isn’t won by guessing, it’s won hour by hour.In this episode of the Podcast, Richard and Luke break down how top DTC brands use real-time ad spend optimization to hit — and even exceed — their Black Friday and Cyber Monday targets.You’ll learn how hourly tracking transforms decision making during the biggest shopping weekend of the year, plus:How to spot pacing issues before it’s too lateWhen to scale ad spend versus pull back in real timeWhat hourly data reveals about buyer behavior on BFCMWhy last year’s patterns are your best forecasting tool for this yearLimited offer: Get a free Black Friday Hourly Tracking Report when you purchase a Prophit System, your full-year spend and forecasting model built by Common Thread Collective.Show Notes:This episode is brought to you by: Finaloop: https://get.finaloop.com/ecommerce-playbook-podcast/Explore the PROPHIT System: prophitsystem.comThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have
What does this episode say about paid acquisition?
Implement hourly tracking of ad spend and revenue on critical sales days like Black Friday and Cyber Monday to identify pacing issues immediately.
What does this episode say about analytics & attribution?
Utilize last year's hourly performance data as a predictive model for current year forecasting and to guide real-time adjustments in ad spend.
What does this episode say about dtc strategy?
Be prepared to scale ad spend up or pull it back dynamically based on real-time hourly data to optimize for both revenue and profit. For instance, if performance is strong, increase spend; if it lags, identify why and adjust.
What does this episode say about paid acquisition?
Understand that hourly data reveals crucial real-time buyer behavior patterns that static daily reports miss, enabling more agile and effective marketing decisions.
What does this episode say about paid acquisition?
Integrate hourly tracking with a comprehensive forecasting model like the "Prophit System" to ensure daily targets are granular and actionable, providing a clear roadmap for success.
