Using Analytics to Benchmark Against Competitors You Can't See
You can't access competitor analytics dashboards. Here's how to use your own data and public signals to understand where you stand competitively.
Choosing the Right Analytics Tool: What PMMs Actually Need vs. What Sales Pitch
Analytics vendors promise everything. Here's how to cut through the noise and select tools that actually serve product marketing needs.
Communicating Analytics Insights to Stakeholders Who Don't Care About Data
Your analysis is solid, but executives glaze over when you present dashboards. Here's how to communicate analytics in ways that actually drive decisions.
Product Analytics for Non-Technical PMMs: Where to Start When You're Not a Data Person
You don't need to write SQL or build dashboards from scratch to use analytics effectively. Here's how to leverage data as a non-technical product marketer.
Product-Led Growth Metrics: What to Track When Your Product is the Channel
Product-led growth requires different metrics than sales-led growth. Here's what to measure when your product drives acquisition and expansion.
Using Analytics to Make Smarter Pricing Decisions
Most pricing decisions are based on competitor research and gut feel. Here's how to use product analytics to find the pricing model customers will actually pay for.
7 Product Analytics Mistakes That Lead to Bad Decisions
Most analytics implementations make these same preventable mistakes. Here's how to avoid the traps that turn data into misinformation.
Feature Adoption Analysis: What to Build Next Based on Data, Not Opinions
Most roadmap decisions are based on who lobbies loudest. Here's how to use feature adoption data to prioritize what actually drives business outcomes.
Customer Segmentation with Analytics: Finding Your Power Users
Not all users are created equal. Here's how to use analytics to identify your most valuable segments and double down on what works.
Event Tracking Strategy: What to Instrument and What to Ignore
Most teams track too many events and miss the ones that matter. Here's how to build an event tracking strategy that actually drives decisions.
Finding What Actually Drives Retention: A Data-Driven Playbook
Most retention analysis looks at lagging indicators. Here's how to identify the specific behaviors that predict long-term customer success.
A/B Testing for Product Marketers: What to Test and How to Read Results
Most A/B tests either test the wrong things or misinterpret results. Here's what PMMs should test and how to know when results actually matter.
Funnel Analysis That Actually Improves Conversion Rates
Most teams analyze funnels wrong—focusing on averages instead of segments. Here's how to find the drop-off points that actually matter.
Cohort Analysis for PMMs: Finding Patterns That Predict Success
Averages hide the truth about product performance. Cohort analysis reveals which user groups succeed and which struggle—and what to do about it.
Dashboard Design That Actually Gets Used: Less is More
Most analytics dashboards are cluttered, confusing, and ignored. Here's how to design dashboards that stakeholders check daily.
Stop Tracking Vanity Metrics: How to Choose Analytics That Actually Matter
Most product teams track dozens of metrics that look impressive but don't drive decisions. Here's how to identify the 3-5 metrics that actually matter.
Turning Analytics into Stories That Executives Actually Care About
Raw data doesn't drive decisions. Stories do. Here's how to transform product analytics into narratives that move leadership to action.
Product Analytics for Product Marketers: How to Use Data to Inform GTM Strategy
Most PMMs ignore product analytics. Here's how to use usage data to improve launches, messaging, and positioning.
Product Analytics for Product Marketers: The Metrics That Actually Matter
Product analytics dashboards are overwhelming. Here's which metrics PMMs should actually track and why.
Product Analytics For Marketers: How to Use Product Usage Data to Drive Better GTM Decisions
You rely on surveys for product feedback. Here's how to use actual usage data to make smarter marketing decisions.