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This episode is a tactical deep dive into two of the biggest measurement questions in DTC right now, capped off with Zach Stuck joining to break down how MarsMen sets ad budgets off forecasted recurring revenue.
The first half is a real client case study on Meta's Incremental Attribution (IA). Brad walks us through an apparel brand, with an AOV just over $100, strong organic and influencer traffic, and $150-200K per month in spend. A conversion lift study at the start of the year showed their one-day click ROAS almost perfectly matched their true incremental number, so 1DC became the account's benchmark. When they tested IA head-to-head against one-day click (each with its own holdout), IA looked terrible in week one, then dramatically better in weeks two and three, and the lift study combined with Triple Whale MTA data validated the win. Then Meta changed its click attribution definition in March (only outbound clicks now count as clicks, with profile clicks and comments moved to "engaged"), and IA performance deviated hard from one-day click, Triple Whale, and product-level MER. IA also stopped responding to bid adjustments. The takeaway: they reverted to one-day click, with a plan to retest IA in three to six months as Meta feeds the model more conversion lift data.
The second segment covers creative cohort spend analysis: breaking down each month's spend by the month the ads were launched. If most of May's spend is running through ads launched last year, your new creative isn't earning spend and something is broken in the pipeline. If nearly all spend is from ads launched in the last 30 days, you are over-reliant on a few recent outliers. Splitting the view by evergreen versus promo ads shows whether new creative is compounding month over month, which is what actually earns the right to scale spend. Zach adds Homestead's layer on top: tracking "breakthrough" ads ($2K spend in 7 days at target) versus scaled ads every month.
The final segment is Zach on how MarsMen scales: if you can forecast next month's recurring revenue, you can spend into that full amount, as long as your blended MER covers OPEX and your new-customer ROAS holds at target. He walks through the cash-flow traps (90-day subscriptions deferring revenue, promos shifting cohort behavior), MarsMen's rebuilt forecast model that applies retention curves at the individual customer level, daily new-customer targets by channel, and a reactivation play: offering discounted one-time purchases to list subscribers who never converted because they didn't want a subscription, which he estimates is worth hundreds of thousands per month.
Key Takeaways
By Scalability School5
99 ratings
This episode is a tactical deep dive into two of the biggest measurement questions in DTC right now, capped off with Zach Stuck joining to break down how MarsMen sets ad budgets off forecasted recurring revenue.
The first half is a real client case study on Meta's Incremental Attribution (IA). Brad walks us through an apparel brand, with an AOV just over $100, strong organic and influencer traffic, and $150-200K per month in spend. A conversion lift study at the start of the year showed their one-day click ROAS almost perfectly matched their true incremental number, so 1DC became the account's benchmark. When they tested IA head-to-head against one-day click (each with its own holdout), IA looked terrible in week one, then dramatically better in weeks two and three, and the lift study combined with Triple Whale MTA data validated the win. Then Meta changed its click attribution definition in March (only outbound clicks now count as clicks, with profile clicks and comments moved to "engaged"), and IA performance deviated hard from one-day click, Triple Whale, and product-level MER. IA also stopped responding to bid adjustments. The takeaway: they reverted to one-day click, with a plan to retest IA in three to six months as Meta feeds the model more conversion lift data.
The second segment covers creative cohort spend analysis: breaking down each month's spend by the month the ads were launched. If most of May's spend is running through ads launched last year, your new creative isn't earning spend and something is broken in the pipeline. If nearly all spend is from ads launched in the last 30 days, you are over-reliant on a few recent outliers. Splitting the view by evergreen versus promo ads shows whether new creative is compounding month over month, which is what actually earns the right to scale spend. Zach adds Homestead's layer on top: tracking "breakthrough" ads ($2K spend in 7 days at target) versus scaled ads every month.
The final segment is Zach on how MarsMen scales: if you can forecast next month's recurring revenue, you can spend into that full amount, as long as your blended MER covers OPEX and your new-customer ROAS holds at target. He walks through the cash-flow traps (90-day subscriptions deferring revenue, promos shifting cohort behavior), MarsMen's rebuilt forecast model that applies retention curves at the individual customer level, daily new-customer targets by channel, and a reactivation play: offering discounted one-time purchases to list subscribers who never converted because they didn't want a subscription, which he estimates is worth hundreds of thousands per month.
Key Takeaways
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