# Aggregation Feature

> Source: https://sukruyusufkaya.com/en/glossary/agregasyon-ozelligi
> Updated: 2026-05-13T21:05:37.617Z
> Type: glossary
> Category: veri-bilimi-ve-veri-yonetimi
**TLDR:** A feature structure that summarizes lower-level records into higher-level signals meaningful for modeling.

<p>Aggregation features provide richer context to models by converting raw event-level data into higher-level signals. Examples include average basket size per customer, number of transactions per user over the last 30 days, or weekly conversion rate per store. This approach is especially effective in behavior modeling, churn analysis, fraud detection, and customer segmentation. If the aggregation level is poorly chosen, information may be lost or noise may increase. For that reason, building aggregation features requires a balanced design between business logic and statistical summarization.</p>