Practical setup and usage guides. Most of what is described here is now configured automatically when you connect a site, but knowing what the system built and why makes it far easier to correct.
9 articles
Funnel reports show you exactly where customers drop off in your conversion process. This guide covers how to build effective funnels, interpret the data, and take action on what you find.
Aggregate metrics hide important trends. Cohort analysis groups users by when they joined or what they did, revealing whether your product is actually getting better over time.
Revenue attribution answers the most important marketing question: which activities actually generate revenue? This guide shows you how to set up and interpret revenue reports.
Behavioral emails are sent based on what users do, not when you schedule them. They convert 3-5x better than batch emails because they arrive at exactly the right moment.
Most A/B test reports stop at conversion rate. KISSmetrics A/B test reports track the downstream impact on revenue and retention, showing whether your winner actually wins where it counts.
Every analytics implementation starts with good intentions and ends in chaos without a tracking plan. This guide provides naming conventions, property standards, complete examples, and a template to ensure clean, consistent, trustworthy data from day one.
Page views tell you that someone visited your pricing page. Event tracking tells you that they clicked Compare Plans, toggled to annual billing, and then abandoned checkout at the payment step. The difference is the difference between guessing and knowing.
Most teams launch features and then scramble to figure out if they worked. This guide gives you a framework to define success before you ship and measure impact after.
DAU and MAU tell you how many users show up. They say nothing about whether those users get value. This guide covers the adoption metrics that actually predict retention and expansion.
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