CDP & Data
The foundation: one view the whole system can act on.
We unify your data and resolve identity so the signals worth acting on are visible — and every capability runs on trusted data.
The problem
You collect plenty of data. None of it agrees with itself.
Analytics says one thing, the CRM says another, the email tool has a third version of the same customer. Nobody can answer a simple question — who are our best customers, and what do they have in common — without exporting three spreadsheets and arguing about which is right.
So the expensive features sit idle. Personalization never gets turned on because there’s no trustworthy segment to target. Experiments can’t measure their real effect because the numbers don’t reconcile. A CDP gets bought to fix it — and then stalls half-configured, because the harder problem was never the software. It’s that the business hasn’t yet agreed on what its data means.
What it actually is
One agreed profile of each customer, that your other tools can use.
A customer data platform (CDP) unifies what you know about each customer — identity, behavior, orders, value, consent — into a single profile your other tools can read from and act on. Marketing intelligence is what you build on top: the dashboards, segments, and analysis that turn that profile into decisions.
Here’s the part most vendors won’t tell you: a CDP will not fix data you haven’t agreed on yet. The tool can merge sources, but it can’t decide what “an active customer” or “a qualified lead” means — that’s a business decision. Get the definitions right first, and the platform does exactly what it promises. Skip that step, and you’ve bought a faster way to be confused.
How we do it
The data foundation Discover reads from — and Personalize acts on.
In the Experience Optimization Framework, CDP & data isn’t a stage on the wheel — it’s the layer the whole wheel runs on. Discover reads from it to find where intent breaks down. Personalize acts on it to serve the right experience. Every test measures against it. We start by agreeing the definitions, then wire your existing sources into one unified view — identity, behavior, value, and consent — built from data you already collect.
This is hands-on platform work, not slideware. I’ve worked in depth across Optimizely Data Platform (ODP), Salesforce Data Cloud, Amplitude — including HIPAA-regulated healthcare data — and Databricks. Different stacks, same discipline: agree the model, unify the sources, prove the numbers reconcile, then turn it on. 24+ years and 25+ marketing technologies in, the constraint is almost never the tool.
What you get
A foundation the whole system can stand on.
From agreed definitions to unified profiles to the dashboards your team actually uses — set up once, then maintained as the program runs, with nothing touching live systems before your sign-off.
The technology
The platforms we connect, not the ones we sell.
We don’t sell a CDP. We work in the platform you already own — or help you choose one only if you genuinely need it. Hands-on depth across ODP, Salesforce Data Cloud, Amplitude (including HIPAA-regulated healthcare), and Databricks means the data foundation gets built on tools that fit your stack, not ours.
One capability, one system
The foundation every other capability runs on.
CDP & data isn’t a standalone service — it’s the layer beneath the rest. Unify it once and every other capability gets sharper: better segments to test, truer numbers to measure, a profile worth personalizing against.
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