You're staring at 300 metrics.

This works for any business that makes money through their website—ecommerce, SaaS, subscription boxes, lead gen that converts to sales, digital products, membership sites.

The core principle is the same: identify the handful of metrics that directly connect to revenue, then track how changes affect those metrics. The specific metrics change based on your model (ecommerce tracks AOV and cart abandonment, SaaS tracks trial-to-paid and churn, lead gen tracks MQL-to-SQL conversion), but the framework for identifying which metrics matter is universal.

If your business model is "website drives revenue," this applies.

The dashboard framework actually helps you identify what's broken. Part of the process is validating that your key metrics match reality—comparing GA4 revenue to Stripe, checking if conversion events are firing correctly, spotting bot traffic inflation.

You don't need perfect data to start. You need to know which handful of numbers to fix first. That's what this does.

That said: if your GA4 is fundamentally misconfigured (no events firing, no ecommerce tracking, completely wrong domain setup), you'll need to fix that before any dashboard is useful. But most "messy" setups have 80% good data and 20% fixable problems—and the dashboard will surface exactly which 20% to prioritize.

You need to be comfortable in Google Analytics 4 and basic spreadsheet formulas. You don't need to write JavaScript or SQL, but you do need to understand concepts like "event parameters" and "custom dimensions."

If you've ever set up a GA4 goal or created a calculated field in a spreadsheet, you can do this.

The guide includes step-by-step technical instructions—which GA4 reports to pull, how to structure your metrics, what to validate. It's not "hire a developer." It's also not "just think about your KPIs." It's the actual implementation steps for someone who's technically capable but not a full-time analyst.

If you currently manage your own GA4 (even if you're not an expert), this is written for you.

You get a PDF guide that walks through:

• The framework for identifying your specific handful of North Star metrics (based on your business model and revenue drivers)
• Step-by-step instructions for pulling those metrics from GA4
• How to structure them in a dashboard (spreadsheet or Looker Studio—your choice)
• Validation steps to make sure your data is accurate
• How to use the dashboard to actually make decisions (not just look at numbers)

You're building the dashboard yourself using the guide. This isn't a pre-made template because your metrics are specific to your business—but you get the exact process to identify them and set them up.

Time investment: 1-2 hours for initial setup, then 15 minutes weekly to review and act on the data.

You'll be able to use it this week—if you have an hour or two to implement.

This isn't theory. It's not "10 steps to think about your metrics." It's the actual technical walkthrough: open this GA4 report, pull these specific dimensions, structure them this way, validate against this source.

The guide is designed for someone who needs to get this done, not someone who wants to study analytics philosophy. You'll finish reading it knowing exactly what metrics to track for your business and how to pull them. Then you build the dashboard following the step-by-step instructions.

If you're the type of person who buys guides and never opens them, this won't magically fix that. But if your problem is "I don't know which metrics matter or how to track them," you'll have answers by the end of the weekend.