How a DTC Brand Proved Paid Search Returns 4x Paid Social
A nine-figure DTC outdoor brand ran its dozen ad platforms through a margin-aware marketing mix model — proving paid search returns 4x paid social on real contribution margin.
4x
Paid search over paid social
Alex Lirtsman
Founder & CEO
CorralData
Connect ↓
The Challenge
A nine-figure, national direct-to-consumer outdoor brand ran a multi-region marketing program across paid search, paid social, Amazon, affiliate, and TV in the US, EU, Canada, and Australia. Marketing, ecommerce, and finance data lived in a dozen platforms, each with its own conversion definition. Last-click attribution over-credited last-touch channels, and no single view tied upper-funnel spend to downstream sales or to real contribution margin in time for in-season decisions.
What They Built
CorralData unified the brand's marketing, ecommerce, and finance data into one AI-powered platform where every dollar reads against SKU-level margin, then built a region-aware, margin-aware marketing mix model plus a daily Pre-Marketing Contribution Margin view and AskCorral agents.
CorralData unified the brand's marketing, ecommerce, and finance data into one platform, with every revenue dollar read against SKU-level COGS, fulfillment, card fees, and shipping, currency-normalized across the US, EU, Canada, and Australia. On that foundation it built a region-aware, margin-aware marketing mix model that credits ad spend across the days it keeps working and fits separately per region. The model quantified the true incremental return of every channel — showing paid search delivers 4x the return of paid social — giving the team a defensible basis for shifting budget rather than relying on in-platform reporting. The contribution view sits beside platform-claimed and last-click numbers, so inflated reporting surfaces immediately, and a daily Pre-Marketing Contribution Margin view plus AskCorral keep marketing, finance, and operations on the same numbers in time for in-season decisions.
AI Role
A region-aware, margin-aware marketing mix model quantifies each channel's true incremental return against SKU-level margin, while AskCorral answers questions and a daily AI executive summary surfaces what changed.
Infrastructure
Salesforce Commerce Cloud (US, EU, CA, AU) • Amazon Seller Central and Amazon DSP • Google Ads, Meta Ads, Microsoft Advertising, GA4 • Impact (affiliate) • SKU-level COGS / contribution-margin layer • CorralData governed warehouse
Integration Points
Connectors unifying commerce, ad, and finance platforms across four regions and currencies • SKU-level COGS, fulfillment, and fees joined to every revenue line • Region-aware marketing mix model; AskCorral; daily AI executive-summary email; monitored data pipeline
Impact
Paid Search 4x Paid Social
The marketing mix model showed paid search delivers 4x the incremental return of paid social — a defensible basis for shifting budget.
MMM caught a Meta reporting distortion before it misled the team
When a Meta account issue inflated in-platform reporting and shifted credit toward Google Brand, the MMM caught the distortion before it could be misread as a real performance shift.
Margin Truth Across Four Regions
Every channel and region reads against SKU-level contribution margin in one daily view, so marketing and finance work from the same numbers.
Implementation Complexity
Unifying a dozen commerce, ad, and finance platforms across four regions and currencies, joined to SKU-level margin, plus building and maintaining a region-specific marketing mix model.
Best Fit For
Multi-region DTC/CPG brands spending across many channels that need margin-aware, incrementality-based channel measurement (MMM) rather than last-click attribution.
