How a DTC Brand Proved Paid Search Returns 4x Paid Social

The brand unified its marketing, ecommerce, and finance data into one platform where every revenue dollar reads against SKU-level COGS, fulfillment, fees, and shipping, currency-normalized across four regions. On that foundation it built a region-aware, margin-aware marketing mix model that credits ad spend across the days it keeps working — quantifying each channel's true incremental return and showing paid search delivers 4x the return of paid social.

CorralData is an AI-powered data and analytics platform – not a one-time build or custom project. It connects 600+ data sources (EMRs, CRMs, ad platforms, billing systems, POS) into a unified, governed data warehouse with pre-built industry data models, out-of-the-box metrics, and custom reporting. On top of that infrastructure sits AskCorral, an AI agent that continuously monitors your data, answers business questions in plain language, surfaces insights and recommendations, builds dashboards, and can execute approved actions back through your existing tools.

The marketing mix model showed paid search returns 4x the incremental value of paid social — a defensible basis for shifting budget — every channel and region now reads against SKU-level contribution margin in one daily view, and the model caught a Meta reporting distortion before it could mislead the team.

CorralData is a SaaS platform, not a one-time project. There is no months-long build phase and our customers don't need a data team or engineers. Customers go live within weeks of onboarding – and see meaningful results within their first month. The platform scales with your business, allowing you to add additional data sources and locations at any time.

Multi-region DTC and CPG brands spending across many channels that need margin-aware, incrementality-based channel measurement (MMM) rather than last-click attribution.