Scatter Chart
Every customer is a dot. Patterns appear on their own. A scatter chart plots one measure against another, one point per entity. Nothing is aggregated away, so the relationship between the two measures - and every account that defies it - stays visible.
| Engagement score | Churn risk (%) | |
|---|---|---|
| 12, 88 | 12 | 88 |
| 18, 79 | 18 | 79 |
| 22, 84 | 22 | 84 |
| 15, 72 | 15 | 72 |
| 28, 68 | 28 | 68 |
| 9, 91 | 9 | 91 |
| 31, 74 | 31 | 74 |
| 24, 61 | 24 | 61 |
| 19, 66 | 19 | 66 |
| 74, 81 | 74 | 81 |
| 68, 76 | 68 | 76 |
| 81, 72 | 81 | 72 |
| 77, 66 | 77 | 66 |
| 71, 63 | 71 | 63 |
| 86, 69 | 86 | 69 |
| 21, 34 | 21 | 34 |
| 33, 28 | 33 | 28 |
| 17, 41 | 17 | 41 |
| 39, 22 | 39 | 22 |
| 26, 37 | 26 | 37 |
| 44, 31 | 44 | 31 |
| 61, 19 | 61 | 19 |
| 72, 14 | 72 | 14 |
| 83, 11 | 83 | 11 |
| 66, 24 | 66 | 24 |
| 79, 21 | 79 | 21 |
| 91, 9 | 91 | 9 |
| 88, 17 | 88 | 17 |
| 58, 27 | 58 | 27 |
| 94, 13 | 94 | 13 |
| 69, 31 | 69 | 31 |
| 76, 36 | 76 | 36 |
| 84, 29 | 84 | 29 |
A cluster of high-value accounts shows high engagement *and* high churn risk - a combination that usually indicates a commercial or champion problem rather than a product-usage one.
Route this quadrant to an account-management review rather than a re-engagement email sequence.
What is a scatter chart?
A scatter chart plots one measure against another, one point per entity. Nothing is aggregated away, so the relationship between the two measures - and every account that defies it - stays visible.
Why is a scatter chart useful?
Averages hide the accounts that matter. A scatter is how you find the customer who is paying the most and using the product the least, which no bar chart of segment averages will ever surface.
How RetainCLM uses it
Plot engagement score against churn risk, one dot per account, sized by nothing and coloured by risk tier. The high-risk dots sitting in the high-engagement region are the interesting ones - their risk is not coming from disengagement.
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
Look for the overall drift first, then the points that sit outside it. Quadrant dividers at meaningful thresholds turn a cloud into four named groups you can act on.
Limitations to keep in mind
A visible relationship is not causation, and dense clouds overplot - points land on top of each other and hide the true density. Use transparency, or bin the data, when there are thousands of accounts.
Related concepts
A scatter chart is most useful alongside churn prediction, customer intelligence, customer retention analytics. 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 scatter chart
What does a scatter chart show?
The relationship between two numeric measures, with one point per record. It reveals correlation, clustering and outliers that summary statistics average away.
How do you use a scatter chart for churn analysis?
Put a behavioural measure such as engagement on one axis and predicted churn risk on the other. Accounts that break the expected pattern - high engagement with high risk - identify churn causes that usage data alone will not explain.
What are quadrants on a scatter chart?
Reference lines at meaningful thresholds that divide the plot into four labelled regions, turning a continuous cloud into named groups that map to different actions.
Related visualizations
See a scatter chart 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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