Alto online customer journey Sankey
Alto Outdoor’s journey chart shows where June visitors arrive and where they leave before buying. Search and email lead to the product page, which has the largest exit flow; smaller losses appear later in cart and checkout. The link widths make drop-off patterns visible, but they should be read alongside the definitions of visits, sessions and orders used by the analytics team. Do not combine users from different reporting windows, because a Sankey requires the stages to describe the same cohort. Before sharing it, compare the chart with the source table and make the scope explicit. A clear date range, population and unit help another reader interpret the pattern correctly and decide whether follow-up analysis is needed.
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Scenario
Alto online customer journey Sankey is prepared for a focused review.
Key decisions
- Set the scope: Use one reporting period and one clear unit.
- Read the pattern: Identify the largest concentration or directional change.
- Check the source: Confirm the displayed values against the underlying data.
When to reuse this
Use this Sankey diagram when the stated values and labels are the information the reader needs to compare.
Frequently asked questions
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