# Product Analytics

Product Analytics data is queryable as lakehouse tables and through specialized insight types for common behavioral questions. Use these views when you want to segment users, measure retention, or inspect conversion through a funnel.

## Optimize large insights

The insight builder can trade some precision for faster queries on large Product Analytics datasets:

- **Sampling** reads a repeatable subset of data. **Default** samples up to 1,000,000 rows; **Aggressive** samples up to 100,000 rows. Keep sampling **Off** when exact results matter.
- **Approximate counts** estimates distinct counts instead of calculating every unique value exactly.

These settings are saved with the insight. Sampled or approximate results are labeled in charts and tables so viewers can see when the result is not exact.

- [Segmentation](/docs/query-data/product-analytics/segmentation.md): Group users into cohorts from behavioral patterns and compare segments with governed metrics in Altertable insights.
- [Retention](/docs/query-data/product-analytics/retention.md): Measure how cohorts that perform a starting event come back and perform a returning event over time.
- [Funnel](/docs/query-data/product-analytics/funnel.md): Track user progression through sequential events to measure conversion rates and identify drop-offs.