Analyst reviewing customer segment dashboards on a wide monitor

Data Connect Point

Segmentation that survives contact with a live CRM.

We teach business analytics for customer segmentation strategy — from scoring logic to stakeholder briefs your campaigns can actually use.

73 analysts and marketers trained across the last cohort year
2.4× median lift in campaign relevance scores after Segment Signal Lab
19 live cohort workshops hosted in London, Cardiff, and remote UK rooms

Flagship programme

Segment Signal Lab

6 weeks · part-time Live workshops + async labs From £890

A working lab for people who own the handoff between analytics and campaigns. You leave with a documented segmentation model, a scored sample extract, and a one-page brief your CRM owner will recognise.

Laptop showing charts used for customer segmentation analysis

What changes

Three habits we install before the next campaign cycle

01

Score what behaviour proves, not what personas invent

We rebuild RFMS and behavioural flags from transaction and engagement truth — then stress-test them against seasonality and channel bias.

02

Write segments as decisions, not labels

Every cluster ships with an activation rule, a holdout logic, and a plain-language definition marketing can defend in a budget meeting.

03

Keep the model small enough to maintain

We favour fewer, sharper segments over fragile taxonomies that collapse the week a product line changes.

From recent cohorts

Voices from the lab floor

“The Segment Signal Lab forced us to kill two vanity clusters that looked elegant in Tableau and did nothing in email. Painful — and overdue.”

Helen M., CRM lead · Leeds

Useful on the RFMS rebuild module. Still wish there were more Shopify-specific export tips — we improvised those ourselves.

Client in specialty retail · Bristol

Bring a messy CRM extract. Leave with a segment brief.

Tell us what you sell and who owns activation — we will point you to the right programme or a short advisory desk call.