Title: What is Product Analytics and Why is it Important?
Headings: product analytics
product analytics
Importance of product analytics
How to implement product analytics
How to use product analytics
Product analytics tools
Product analytics vs. marketing analytics

Content: Product managers can use the hyper-detailed information gathered through product analytics to empathize with customers and make more informed and profitable product decisions. Qualitative data provided by customer surveys, discussions and interviews is not always accurate and often doesn't tell the full story of the user experience. In contrast, product analytics provides objective and definitive customer data that has been gathered by software tracking real user behavior with the product. Therefore, product analytics allows product teams to conduct a deeper analysis of certified information than they would have been able to with human-error prone interviews, surveys and discussions. While implementing product analytics is beneficial for companies looking to understand how their customers use existing product features, it is also valuable for testing new features and gauging the user experience. If a team has a goal for how much a new feature should be used, then they can use the data provided by product analytics to work toward that goal. In recent years, tech companies focusing on application development have found product analytics to be one of the most efficient ways to increase user retention and optimize the company's position within a competitive market. How to implement product analytics
Product analytics should only be implemented after a product has reached a set minimum number of users. If the customer base is too small then the data gathered through product analytics will not be enough to provide a meaningful sample that can guide organizational decisions. Qualitative feedback collection practices -- such as surveys and customer interviews -- are recommended until the product has reached its lowest user benchmark.