“We tried one, and nobody used it”

Head of Marketing Operations · Customer data platforms

A team that's been through a failed customer data platform project isn't against the idea. They're against repeating the pain. Don't promise it'll be different this time. Ask what went wrong, specifically: the data, the people or the use cases, and what would have to change for a second attempt to work.

What the buyer says

We tried a CDP before. It took a year to implement, and nobody used it.

How to handle it

Listen

Listen for the story: how long it took, who drove it, and who stopped using it. "Nobody used it" usually points to use cases or ownership, not technology.

Acknowledge

Agree that a year-long implementation nobody uses is a real cost, and that being wary of another one is sensible.

Explore

Ask what went wrong. Was the data harder to connect than expected? Did the team that bought it have time to use it? Were the use cases too broad? Ask what the first thing was that people actually needed, and whether they ever got it.

Respond

Propose a smaller start: one or two use cases the team needs now, with a clear owner and a date when they'll see results. Show how you'd avoid the specific problem they described.

Say this
“That sounds painful. A year of work that nobody uses is a real cost.”

Say this
“What would you say went wrong: the data, the people, or the use cases?”

Say this
“If we started with one use case your team needs now, which would it be?”

Variations

CMO: “We've been burnt by one of these before. The board won't fund another.”
Head of CRM: “Our last platform never got past the data clean-up.”

Questions people ask

How do you sell a customer data platform to a team whose last one failed?

Ask what specifically went wrong: the data, the people or the use cases. Then propose a smaller start built around one or two use cases they need now, with a clear owner and a date for results, and show how you'd avoid the problem they described.

Why do customer data platform projects fail?

Common reasons are data that's harder to connect than expected, use cases that are too broad, and no clear owner with the time to run it. Ask the buyer which applied to them.