Behavioural analysis techniques for complex quote funnels where risk, regulation and friction are all high.
Why this matters
Insurance and other regulated products live in a different world of complexity, scrutiny and user anxiety.
Subtle changes in wording, layout or add-on framing can have outsized impacts on both trust and performance.
What you'll learn
- How to analyse high-friction quote journeys without losing sight of regulatory constraints.
- How to think about add-ons, disclosure and eligibility in a way that balances commercial and customer outcomes.
- Which behavioural signals really matter in regulated funnels.
How to put this into practice
- Bring this article into your next discussion with underwriting, pricing or compliance as a shared reference point.
- Use one of the behavioural patterns described as the basis for a low-risk experiment in a single segment first.
If you'd like help applying the ideas from “Insurance Quote Journey Analytics” inside your own organisation, this is exactly the kind of work Alun_lytics Insights supports – from GA4 and Power BI through to CRO, experimentation and analytics operating models.
You can explore more articles in the Content Hub, or get in touch directly if you want to talk about a specific challenge.