Coterie Instant Improvement CAC ROAS
How Prescient AI enabled Coterie to fuel Q4 acquisition by reallocating network-level spend on Linear TV and across the marketing mix.
Linear TV CAC Reduction
Overall CAC Reduction
Overall ROAS Increase
From its signature Diaper to its newest Soft Wipe, Coterie creates premium-quality, high-performing diapering essentials made from clean materials to make the journey into parenthood a little easier. The brand, loved by young parents and endorsed by a growing lineup of celebrities, uses a diverse mix of online and offline marketing channels to find new customers and drive sales through its online Shopify stores and retail partners.
Challenge: Scaling spend while maintaining performance
As Coterie continued to grow, SVP of Growth Ankur Goyal wanted to find more sophisticated tools to complement the brand's in-house attribution solution, which was manually stitched together using multiple data streams. Inconsistent attribution signals left the team unsure about the ideal channel mix as customer acquisition continued to scale.
As top performing channels, getting spend right on Meta and Linear TV was critical to drive demand. Because Linear TV does not provide great clickstream data and is difficult and expensive to geo-test, multi-touch attribution (MTA) or incrementality testing could not meet their needs.
Solution: Revealing ideal spend and opportunities to scale
Ankur began looking into marketing mix modeling (MMM) providers and Prescient AI stood out due to its ability to analyze spend data, platform data, and sales data from multiple revenue sources. When Coterie first engaged with Prescient AI, the team had noticed a decline in paid media efficiency and needed to pinpoint the contributing factors.
Just one day after connecting Coterie's channels to the platform, Prescient AI confirmed that linear TV was behind the drop in performance. Prescient's MMM also showed that results being provided by Google and Meta were skewed due to the limitations of last-click reporting.
With the new cross-channel insights and recommendations from Prescient AI, Coterie was able to fine-tune its TV strategy at the network-level and make quick, confident decisions about spend allocation across the mix.
Results
Linear TV CAC decreased 22%, leading to a 7% overall CAC reduction in the business. ROAS increased 6% across the board.
With new insight into how platforms and campaigns influence each other and a deeper understanding of performance within and across channels, Coterie took action to correct the performance erosion of their linear TV investments and make spend adjustments on other channels to exceed CAC goals and increase revenue generated by paid media.
“Prescient AI's time-to-value is very, very fast. I just connected a couple of channels and, within a day, I had a model that streamlined my decision-making.
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