Your customer data platform should earn money, not just store data.
Unifying your data is the easy half. The hard half is deciding what the platform is for, who uses it, and how it moves revenue. I treat the CDP as a product, with a value thesis, a roadmap, an adoption plan and an owner accountable for results.
Signs you need this
- The CDP is live, but few teams use it.
- Data is unified, but revenue and retention haven't moved.
- Marketing, sales and IT each think the platform is for something different.
- You suspect your data could be sold or packaged as a product, but nobody owns that idea.
What I do
- Write the value thesis: which decisions and revenue the platform should change.
- Build a product roadmap for the platform, sequenced by value.
- Design the adoption strategy for internal users and customers.
- Find and shape data products, internal or external, that can be monetized.
- Set governance and ownership so the platform keeps improving.
What you get
- A CDP value thesis and success metrics
- A 12-month platform roadmap
- An adoption plan by user group
- A shortlist of data-product opportunities with business cases
Proof
- Built a first-of-its-kind cross-tier customer data platform at FordDirect, serving 2,500 dealers and containing 80 million known customer records.
- Used that platform as the foundation for a patent-pending AI natural-language platform.
- Spent years in data-as-a-service at Polk and Wiland, where data was the product.
Data unified but revenue flat? Book a 20-minute call.
How more data makes AI more useful, and what it takes to govern it: read Give AI More to Work With →