Your Google Analytics Is Probably Lying to You. Here's How to Check

We've audited a lot of Google Analytics accounts. A genuinely surprising number of them are quietly broken — not in a way that throws an error, but in a way that just silently produces wrong numbers that businesses then use to make decisions.

Here's what to actually check.

1. Are You Double-Counting Conversions?

One of the most common issues: a conversion event firing twice for the same action — once on page load, once on a redirect, for example. This makes your conversion rate look better than it actually is, and can lead to budget decisions based on numbers that simply aren't real.

Check your conversion events against actual leads or sales from your CRM. If GA4 says you got 40 leads last month and your CRM shows 25, something's duplicating.

2. Is Cross-Domain Tracking Set Up Correctly?

If your checkout, booking system, or contact form lives on a different domain or subdomain than your main site, sessions can get split into two — making it look like someone bounced when they actually completed an action, just on a different domain GA4 didn't link properly.

"A 'high bounce rate' on a page right before checkout is often a tracking gap, not actually a content problem."

3. Are Internal Visits Being Counted as Real Traffic?

If your team regularly visits the website — checking it works, testing forms, showing it to clients — and you haven't excluded internal IP addresses, you're quietly inflating your own traffic numbers with visits that were never real prospects.

4. Is Attribution Actually Set Up the Way You Think?

GA4's default attribution model might not match how your business actually wants to credit conversions. If someone clicks a Facebook ad, then later searches your brand name directly and converts, default settings might attribute that entirely to "organic search" — making your paid campaigns look far less effective than they actually are.

5. Are You Tracking Micro-Conversions, or Just the Final Sale?

If you're only tracking final purchases and ignoring smaller signals — email signups, time spent on key pages, video views — you're missing the data that explains why your conversion rate is what it is. Final numbers tell you what happened. Micro-conversions help explain why.

6. Does Your Event Naming Actually Make Sense?

If your events are named generically — "button_click," "form_submit" — without context on which button or which form, you'll have data but no way to actually act on it. You need to know not just that someone converted, but on which specific page, with which specific offer.

How to Actually Check If Your Data Is Trustworthy

• Compare GA4 conversion numbers against your actual CRM or sales data monthly
• Confirm cross-domain tracking is correctly configured if you use separate booking or checkout tools
• Exclude internal traffic from your team and agency
• Review your attribution settings and understand what model you're actually using
• Set up micro-conversion tracking, not just final sale tracking
• Name events clearly enough that the data is actually actionable

None of this is about distrusting analytics entirely — it's about not blindly trusting it either. The businesses making the best decisions aren't the ones with the most data. They're the ones who've actually verified their data is telling the truth before they act on it.