# Rohit Joshi

> Data analyst turning marketing data into product decisions.


## Posts

- [When an A/B Test Is Ready to Ship](https://rohitjoshi.pro/when-an-ab-test-is-ready-to-ship/): A test result is not a ship decision by itself. The decision depends on the primary metric, guardrails, data quality, and what the team agreed the result would mean.
- [Cohort Analysis for Retention Questions](https://rohitjoshi.pro/cohort-analysis-for-retention-questions/): A retention curve can blur together people who started at very different times. Cohorts give the comparison a shared starting point and make the follow-up question more precise.
- [Funnel Metrics That Guide the Next Move](https://rohitjoshi.pro/funnel-metrics-that-guide-the-next-move/): A funnel is only useful when each step connects to a choice someone can make. Start with the transition that is unclear, then check what the metric actually counts.
- [SQL Window Functions for Marketing Journeys](https://rohitjoshi.pro/sql-window-functions-for-marketing-journeys/): A campaign table rarely tells the whole story on its own. Window functions help connect touchpoints, compare activity over time, and keep the analysis readable.

## Pages

- [Blog](https://rohitjoshi.pro/blog/)
- [Projects](https://rohitjoshi.pro/projects/)
- [Resume](https://rohitjoshi.pro/resume/)
- [Home](https://rohitjoshi.pro/)


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