Customer segmentation
Group customers by recency, frequency, value, behaviour and lifecycle stage. Give each segment a clear next action.
Customer analytics UK
Turn customer data into retention and growth.
Webb Systems Ltd builds customer, sales and marketing analytics for UK teams. See which customers need attention, which campaigns create revenue, and where your sales team should focus next.
Clear data work for subscription businesses, e-commerce brands and B2B teams.
Customer signal map
Live view
Acquire
4,280 leads
Convert
18.6% rate
Retain
8.4% at risk
Grow
£142k value
+24%
potential revenue identified through targeted retention actions
One connected view
Core customer and marketing analytics capabilities
Bring transactions, behaviour and campaign data into one working view. Your team gets decisions it can act on, rather than another report to check.
Churn prediction
Spot at-risk customers with explainable risk scores, then route those signals to retention, account or service teams.
Marketing attribution
Compare multi-touch and last-click views to see which channels contribute to pipeline and revenue.
Product recommendations
Use collaborative filtering and rules-based logic to support relevant cross-sell for e-commerce and B2B accounts.
Sales performance dashboards
Track pipeline, conversion, rep productivity and forecast movement in dashboards built around your sales rhythm.
Customer segmentation software
Segment customers like a data scientist.
A useful segment has a measurable reason and a practical action. We connect each group to the campaign, message or sales task that fits its behaviour.
Start with four groups. Refine as the evidence grows.
High-value loyal
Frequent buyers with strong margin contribution.
At-risk customers
Good historic value with falling engagement.
Price-sensitive
Responsive to offers and changes in price.
New prospects
Recent interest with no established purchase pattern.
Segment action plan
Example monthly viewPush segments into email, CRM and sales workflows so the insight reaches the person who needs it.
68
risk score
Account 00482 needs attention
Three signals crossed the watch threshold this month.
Usage down 27% over 30 days
Campaign engagement has fallen
Two unresolved support contacts
Churn prediction
Stop churn before it happens.
Churn models score customers using behaviour, engagement, purchase history and the data you can lawfully use. Each score includes the signals behind it, so a team knows what to do next.
The result is a focused retention list. Offer help, arrange outreach or change the message while there is still time.
18%
example reduction in churn for a subscription business after targeted intervention
Revenue contribution
Last 90 daysSearch
Email
Social
Events
Partners
Search£84k
Email£56k
Social£71k
Partners£62k
Marketing attribution analytics
Prove which marketing creates revenue.
Last-click reporting can hide the work done by earlier touchpoints. Compare attribution models in one dashboard and make budget decisions with a fuller view of the path to conversion.
Connect Google Ads, Meta, LinkedIn and offline campaigns. See channel contribution, cost and pipeline movement together.
Practical answers
Customer analytics FAQs
Good analytics starts with clear expectations around data, timing and ownership.
What data sources do you need for customer analytics?
We usually begin with order or subscription records, CRM data, product or website events and campaign activity. We map what you already hold before recommending any new collection, with UK data governance in mind.
How do you handle GDPR for customer data?
We build around your lawful basis, access controls, retention rules and agreed purposes. Personal data is minimised where possible, and model outputs can be designed around customer IDs or other controlled identifiers.
Can you integrate with our CRM?
Yes. We can connect analytics outputs to common CRM and marketing workflows through available connectors or agreed data pipelines. The right approach depends on your CRM, permissions and reporting setup.
How long until we see churn predictions?
An initial data review can identify useful signals quickly. A working churn model needs enough history, a clear churn definition and time for testing. We set the first delivery around the quality and volume of your data.
Do you provide training for the sales team?
Yes. We show sales and customer teams how to read risk scores, use segments and act on dashboard signals. Training is based on your real workflow, with clear ownership for follow-up.
A clear first step
Put your customer data to work.
We start with a data audit to identify quick wins across retention, targeting, attribution and sales performance.
Victoria Pier, Lerwick, Shetland Islands, ZE1 0AA · [email protected]