Funnel & journey analysis
Find where users drop out, where progression changes and which stages contribute most to lost outcomes.
Customer & product analytics
Analyse journeys, funnels, retention, segments and product behaviour to find where customers struggle, what keeps them engaged and which opportunities deserve attention.
Behaviour • Funnels • Retention • Segmentation • Experimentation

The analytical job
Pageviews, sessions and feature usage can describe activity without explaining what it means. Customer and product analytics connects behaviour to progression, conversion, retention and commercial value.
The aim is not to create more segments or dashboards. It is to understand which behaviours matter and what product or journey changes are worth testing.
Find where users drop out, where progression changes and which stages contribute most to lost outcomes.
Understand who stays, who leaves, when behaviour changes and which early signals are associated with retention.
Group customers using behaviour, value, needs or lifecycle patterns so decisions can be made at a useful level.
Define measures that connect product usage and customer outcomes rather than relying on generic engagement metrics.
Frame hypotheses, interpret test results and separate meaningful product effects from noise or mix changes.
Combine customer evidence with commercial context to estimate the value and trade-offs of potential changes.
Questions this work can answer
Experience
Experience includes customer segmentation, behavioural and transactional analysis, retention, lifecycle modelling, product KPIs, experimentation and commercial evaluation in high-volume digital environments.
View selected experienceCustomer & product analytics
Bring the decision, journey or product problem. We can help turn the available customer data into a focused analytical answer.