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.
CorralData unified Solo Stove's marketing, ecommerce, and finance data into one 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 AI agents.
The marketing mix model showed paid search delivers 4x the incremental return of paid social, a defensible basis for shifting budget.
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.
Every channel and region reads against SKU-level contribution margin in one daily view, so marketing and finance work from the same numbers.
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