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” And that’s also why AARRR metrics are called pirate metrics. Short for acquisition, activation, retention, referral, and revenue, these metrics help you measure and drive product growth. In this article, we’ll dig deeper into the AARRR framework and the relevant metrics associated with each stage.
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Wondering how to improve customer retention? The article shares 20 actionable customer retention strategies for your SaaS! TL;DR Customer retention is your ability to keep users using the product. Offer personalized onboarding experiences to help users quickly realize product value.
Analytics vs metrics – how do they differ from each other? Though both are important, analytics and metrics have distinct meanings and purposes in your data analytics process. Understanding the nuances between them is critical to utilize them to improve your feature adoption , customer behavior, etc.
Customer insights enable SaaS teams to understand them better and build products that satisfy their genuine needs. From the article, you’ll learn about different kinds of customer insights (from product analytics and only) and the benefits of gathering them. Let’s dive right in! Book the demo to find out how!
What is feature adoption? TL;DR Feature adoption happens when users use the feature regularly to solve their problems. Feature discovery is an initial stage of feature adoption when users learn about the feature. Feature adoption has an impact on user satisfaction, loyalty, and retention.
Many product people fall into a common trap when tracking user behavior by focusing too much on numbers or relying only on user feedback. The truth is that you need to find the silver lining between quantitative and qualitative data to analyze user behavior effectively. Quantitative data shows you what users are doing.
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Looking for a customer behavior analysis example to see how you can extract valuable insights? In this article, you will also learn how to conduct customer behavior analysis step-by-step and how Userpilot analytics can help. To gain meaningful insights, the analysis should focus on specific user segments.
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