Customers rarely follow the funnel drawn on the whiteboard. They arrive from an ad, leave, return through search, read a comparison, talk to support, and buy from a different device weeks later. Customer Journey Analytics & Optimization reconstructs those paths from your web, app, CRM and messaging data and shows where customers stall, drop out or need a different kind of help.
Where it helps
- Conversion rates that are known in total but not by path or segment
- Abandonment at a step in sign-up, checkout or onboarding that nobody has explained
- Support contacts that reveal a problem earlier in the journey
- Renewal and expansion journeys that get less attention than acquisition
What we deliver
- Journey mapping. Actual paths assembled from event data across channels and devices, grouped into the patterns that matter.
- Friction analysis. The steps where customers stall or drop, with the segments most affected and the likely causes drawn from behaviour and feedback.
- Experiment programme. Prioritized changes to pages, flows, messaging and timing, each with a hypothesis and a measurement plan.
- Journey monitoring. Ongoing views of stage conversion and time between stages, with alerts when a path degrades.
How an engagement runs
- Assess. We agree the journeys to study, check that the right events are being captured and fill the gaps in tracking.
- Build. We stitch the data into journeys, often on a unified customer dataset, and present the first findings.
- Integrate. Journey views are published to your analytics tools, and the experiment backlog is wired into your product and marketing workflows.
- Run. We run and measure the experiments with your team, and update the journey maps as the product and channels change.
What changes for your team
- Drop-off points are known by step and segment, not as a single rate
- Changes to the customer experience are tested, not guessed
- Product, marketing and support look at the same picture of the customer
