Customer Lifecycle Sankey
Not just how many left - where they went. A Sankey diagram draws flows between states as ribbons whose thickness is proportional to volume. Every customer that moves from one state to another is part of a band you can trace end to end.
| Transition | Customers |
|---|---|
| Healthy to Healthy | 430 |
| Healthy to Watch | 96 |
| Healthy to At risk | 24 |
| Watch to Healthy | 68 |
| Watch to Watch | 142 |
| Watch to At risk | 74 |
| At risk to Healthy | 21 |
| At risk to Watch | 47 |
| At risk to At risk | 118 |
| Healthy to Retained | 498 |
| Healthy to Downgraded | 21 |
| Watch to Retained | 214 |
| Watch to Downgraded | 51 |
| Watch to Churned | 20 |
| At risk to Retained | 68 |
| At risk to Downgraded | 44 |
| At risk to Churned | 104 |
Recovery flow from At risk back to Healthy is 31% of the volume moving the other way. The intervention path exists but is badly outpaced by decay.
Measure playbooks on recovered-to-decayed ratio, not on how many customers they touched.
What is a customer lifecycle sankey?
A Sankey diagram draws flows between states as ribbons whose thickness is proportional to volume. Every customer that moves from one state to another is part of a band you can trace end to end.
Why is a customer lifecycle sankey useful?
A funnel tells you 200 customers left a stage. A Sankey tells you 140 of them recovered, 45 downgraded and 15 churned outright - three completely different outcomes that a drop-off percentage flattens into one number.
How RetainCLM uses it
Trace where last quarter's healthy accounts ended up. The thick ribbon from 'Healthy' into 'At risk' is the one to explain; the thin one from 'At risk' back to 'Healthy' is the one your playbooks are supposed to thicken.
The chart above is drawn from illustrative demo data chosen to make the visualization legible. It does not describe real RetainCLM customers. On a live account the same chart is drawn from your own customer, usage, billing and support data.
How to read it
Follow individual ribbons rather than reading the columns. The information is in which state fed which, and a band's thickness is directly comparable to any other's.
Limitations to keep in mind
Sankeys get unreadable fast. Past roughly five states per column and a dozen flows the ribbons cross too much to trace, and small flows become invisible slivers - aggregate them into an 'other' band rather than drawing them.
Related concepts
A customer lifecycle sankey is most useful alongside customer retention analytics, churn prediction, customer intelligence. RetainCLM builds these views on one unified customer record, so a pattern you notice in one visualization can be followed into the next without exporting anything.
Questions about the customer lifecycle sankey
What is a Sankey diagram?
A flow diagram in which the width of each band is proportional to the quantity flowing along it, used to show how a population redistributes between states.
How is a Sankey used in customer analytics?
To show customer lifecycle movement - how many accounts moved from healthy to at risk, from at risk to recovered, or from at risk to churned over a period. It makes recovery volume visible, which funnels cannot show.
How many nodes should a Sankey diagram have?
Few. Readability collapses beyond about five nodes per column; group the small flows into a single 'other' band rather than drawing every one.
Related visualizations
See a customer lifecycle sankey built on your customers
Book a demo and we will build this chart, and the rest of the library, against your own retention and revenue data.
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