# Success Metrics for Product Analytics

DevFeed: [Success Metrics for Product Analytics](<https://devfeed.tech/articles/success-metrics-for-product-analytics-15900.md>)

Original publisher: [Read original article](<https://developer.squareup.com/blog/success-metrics-for-product-analytics>)

Author: Daeus Jorento

Published: 2022-07-06T19:00:00Z

Content type: tutorial

Language: en

Sources: [Square Corner Blog RSS Feed](<https://devfeed.tech/sources/square-corner-blog-rss-feed.md>)

Topics: [product analytics](<https://devfeed.tech/topics/product-analytics.md>), [A/B Testing](<https://devfeed.tech/topics/a-b-testing.md>), [Testing](<https://devfeed.tech/topics/testing.md>)

Tags: [a-b-testing](<https://devfeed.tech/tags/a-b-testing.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [product-analytics](<https://devfeed.tech/tags/product-analytics.md>), [statistical-significance](<https://devfeed.tech/tags/statistical-significance.md>), [strategy](<https://devfeed.tech/tags/strategy.md>)

## AI overview

This article explains how primary and secondary success metrics support product launches and product analytics. It argues that metrics should confirm whether a strategy was executed successfully, while predefined plans guide decisions when experiment results are negative, positive, or neutral.

## Source excerpt

Metrics are not a replacement for strategy