CoreWeb
Often not needed
we will say so
Identity
the hard part
Activation
or it is just storage

Customer Data Platform

A CDP unifies customer data into a single profile that campaigns can act on. It solves a real problem, at real cost, for fewer companies than are sold one.

MarTech & Analytics

The measurement layer. Usually the first thing that needs fixing.

First question
And frequently the answer is no.

Do you actually need one?

A CDP earns its cost when you have genuinely fragmented customer data across multiple systems, meaningful volume, a real identity resolution problem, and the operational capacity to act on unified profiles once you have them. That last condition disqualifies most buyers.

A unified customer profile nobody uses is expensive storage. We have seen implementations where the platform works correctly, the profiles are accurate, and no campaign has ever been built on them because the marketing team lacks capacity to design the segmentation.

So we start with whether the problem you have is the problem a CDP solves. Often it is an integration problem, which is cheaper, or a data quality problem, which a CDP will faithfully reproduce at scale.

8 areas
One body of work, not a menu.

All services

What’s included

Needs assessment

An honest evaluation of whether a CDP is warranted, including the recommendation not to buy one where that is right.

Requirements definition

What the platform must actually do for your use cases, written before vendor conversations rather than after.

Vendor evaluation

Comparison against your requirements, with the trade-offs made explicit. We hold no vendor relationships.

Identity resolution design

The genuinely hard part — deciding how records are matched, and what confidence threshold is acceptable given the cost of a wrong merge.

Data model and schema

Structuring profiles around the questions you will ask, since retrofitting a schema is expensive.

Source integration

Connecting the systems that hold customer data, and cleaning what arrives, since a CDP replicates bad data faithfully.

Activation design

The use cases that justify the investment, designed before implementation so the platform gets used.

Governance and consent

Consent state travelling with the profile, which is both a legal requirement and commonly missed.

Common questions
Asked on most first calls.

Questions

How do we know if we need a CDP?

Fragmented customer data across systems, real volume, a genuine identity matching problem, and capacity to act on the result. Missing the last one is the most common reason implementations fail.

Can our existing tools do this?

Sometimes. Some CRMs and marketing automation platforms cover a good portion of CDP functionality for smaller data volumes. Worth checking before buying a new category of software.

How long does implementation take?

Three to nine months realistically, depending on source count and data quality. Vendor timelines assume clean data, which nobody has.

What is identity resolution and why is it hard?

Deciding when two records are the same person. Same email, different phone. Shared household device. Old address. Every rule you set produces both false merges and false splits, and you are choosing which error is more tolerable.

Will this fix our data quality problems?

No. A CDP unifies data, including the errors. Data quality work has to happen alongside, and is frequently the larger part of the project.

Next step
We look at your site before the call.

Start with a free audit

An automated crawl plus a 30-minute walkthrough of what we can see from outside your site. If what you need isn’t something we do well, we’ll tell you.