Report Name |
|
What You Can Learn |
|
Description |
Looking Back |
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| Customer behavior | |
How much revenue comes from upper tier customers compared to middle and lower tier customers | |
Key metrics for each customer segment, table |
| Customer velocity | |
Whether customer purchasing behavior is improving or deteriorating | |
Distribution of customers in various velocity segments, chart and table |
| Decile distribution | |
Extent of opportunity to increase revenue from middle tier customers | |
Median yearly revenue by Loyalty Score, chart and table |
| Customer activity level | |
How the number of buyers is changing from period to period | |
Number of active customers purchasing in last several time periods, chart and table |
| Customer revenue distribution | |
How revenue from new customers compares with revenue from existing customers | |
Revenue from new vs. existing customers over time, chart and table |
| Looking Forward | ||||
| Likely buyers | |
Where to set Loyalty Score or decile thresholds to maximize campaign efficiency | |
Loyalty Rank vs. Percent purchasing in next quarter, chart and table |
| Purchase probabilities | |
How to optimize campaigns by seeing which product groups have significant numbers of likely future buyers | |
Back test results, chart and table |
| Predicted response rates | |
How much revenue, and what marketing campaign response rates, are expected from various sets of customers in the next period | |
Estimated revenue and response rates for selected customer target lists |