In predictive modeling, a recency decay table assigns diminishing weight to older data, prioritizing recent events for more accurate forecasts. Marketers and data scientists use it to refine customer behavior predictions, such as purchase likelihood. This technique boosts campaign relevance and resource allocation, primarily benefiting e-commerce and subscription businesses seeking timely insights.
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