Linking Platform Investment to Business Outcomes
A fictional grocer spent 9.6 million on a data platform while revenue grew 14%. Estimate what the platform added, separate early signs from results, and decide under uncertainty.
A fictional grocer spent 9.6 million on a data platform while revenue grew 14%. Estimate what the platform added, separate early signs from results, and decide under uncertainty.
Time-based retention forgets by age; compaction forgets by key. One keeps a recent window of events, the other keeps the latest value for everything.
Retention depends on the starting population, return event and time window. Revenue can grow even while the number of retained customers falls.
An aggregate metric mixes behavior with composition. Cohorts hold the entry period fixed so the two can be told apart.
Learn why a segmentation pays off only when each actionable group gets a purposeful response, and which two groups look identical but are not.
Learn how RFM ranks customers using only purchase behavior, what its core assumption is, and where that assumption stops holding.
Learn how a warehouse keeps prior versions queryable for a retention window, what that recovers, and why longer retention shows up as storage cost.