How to Troubleshoot a Stuck Growth Metric in 3 Steps
When a growth metric goes flat, emotions rise. Here is a 3-step troubleshooting method to find the root cause and get the needle moving again.
Analytics & Data
Using data to drive decisions: metrics, dashboards, attribution modeling, cohort analysis, and interpreting growth experiments.
Top 5 Data Quality Issues That Ruin Your Analytics
From missing values to duplicate records, data quality issues silently corrupt your analytics. This post covers the five most common problems and how to fix them.
How to Calculate Customer Lifetime Value (CLV) Simply
Calculate customer lifetime value (CLV) with a simple formula. This guide walks through the math, gives a real example, and shows how to use CLV to boost retention and ROI.
How to Build a North Star Metric That Drives Growth
A North Star metric aligns your team around a single measure of customer value. This guide explains how to choose one, implement it, and avoid common pitfalls.
The Growth Metrics Checklist Every Startup Needs
A focused checklist of the essential growth metrics every startup should track, from early traction to scaling. Practical advice on what to measure, why, and how to avoid common pitfalls.
5 Common Mistakes in Data-Driven Decision Making
Data-driven decision making is powerful, but common pitfalls can lead you astray. Learn the top five mistakes—from chasing vanity metrics to ignoring context—and how to avoid them.
Beginner’s Guide to Cohort Analysis for Retention
Cohort analysis reveals why customers leave. This beginner’s guide walks you through grouping users by behavior, reading retention tables, and acting on the data.
Google Analytics vs Mixpanel: Which Tool for Growth?
Deciding between Google Analytics and Mixpanel for growth? This comparison covers their core differences, ideal use cases, and how to align each tool with your growth stage and objectives.
How to Set Up a Growth Analytics Stack from Scratch
Setting up a growth analytics stack from scratch doesn’t have to be overwhelming. This guide walks you through choosing tools, building a data pipeline, and defining the metrics that matter.