Customer journey analytics

Customer journey analytics is a project (with possible support): we describe key scenarios, set up/verify event tagging, link steps into routes and analyze transitions — frequent paths, break points, branches, time between steps, channel contribution to the journey; where data allows we stitch sessions and devices. We deliver journey maps and observations. Honestly about completeness, this is key: a full 'end-to-end' journey is rarely available in full — cross-device, privacy, cookie loss, offline touches and the lack of unified identification make part of the route invisible or modeled; we show what can really be linked, not an ideal picture. Honestly about the nature: the analysis shows WHAT happens and correlations (where the path breaks, which routes lead to conversion), but NOT a proven cause — why needs checking (interviews, experiments). Honestly about data: quality depends on tagging and identification — with wrong events and without stitching the path will be incomplete/wrong (garbage in, garbage out). Honestly about the essence: this is analysis and visualization of routes, NOT raising conversion and NOT implementing improvements — we show where you lose and where friction is, but improving the journey (UX, content, product) is done by you or your specialist; the analysis itself does not raise sales. Requirements: access to data and a sufficient flow. An important boundary: this is journey analytics, not analytics setup from scratch (separate), not money-level end-to-end marketing analytics (672 — separate), not full product analytics (701 — adjacent) and not CRO rework. If traffic/data is scarce or there is no identification, journey analysis is premature. Picture this: instead of 'we don't understand which routes customers take (or don't) to a purchase' you see real routes and break points. The base price starts from 28,000 ₽ per project; it depends on the number of scenarios and data state.

• You do not see which routes customers take to a purchase.
• You do not know at which transitions you lose people.
• You analyze channels and steps separately, not as a route.
• You make rework decisions without a journey map.

• Describing key scenarios and touchpoints
• Verifying/setting up event tagging
• Linking steps into routes, stitching sessions/devices where possible
• Analyzing frequent paths, break points and branches
• Channel contribution to the journey and time between steps
• Journey maps and observations
• Flagging gaps and data-visibility limits
• Reviewing results with you

• Real customer routes and break points are visible
• You understand where friction is and where you lose people
• Channels and steps as a single journey, not fragmented
• Data for rework (implementation and growth — separately)

• We clarify scenarios, data, identification options; collect access
• We verify tagging, build routes, analyze transitions
• We compile maps and observations, review with you

• Will you show the whole customer journey in full?

  We will show what can really be linked. A full end-to-end journey is rarely available: cross-device, privacy, cookie loss and offline make part of the route invisible or modeled. We honestly note the visibility limits rather than drawing an ideal picture.

• Will journey analytics raise conversion?

  Not directly. It shows routes and break points, but improving the journey (UX, content, product) is done by you or your specialist. The analysis is a base for improvements, not growth itself.

• Will you say why the path breaks?

  We show WHERE and how it breaks (correlations), but not a proven cause — why needs checking with interviews and experiments. Correlation is not causation.