Google Analytics for Info-Product Creators: What It Can't Measure

Google Analytics is likely the first analytics tool you installed in your digital business. And it makes sense: it's free, powerful, and everyone uses it. But if you rely exclusively on GA4 to make decisions about your info-product, you're flying with half of your instruments turned off.

Let's be clear: Google Analytics is excellent at what it does. The problem is what it doesn't do — and what many info-product creators don't even realize is missing.

What Google Analytics Does Well

Before discussing the limitations, it's only fair to recognize its strengths:

Traffic Analysis

GA4 accurately shows where your visitors are coming from: organic search, social media, direct traffic, email, referrals. You know which sources bring the most people to your site.

User Behavior

Which pages are visited, how long people stay, what the engagement rate is, and what the navigation flow looks like. This is gold for optimizing content and sales pages.

Conversion Funnels

You can set up funnels to track: capture page → sales page → checkout → thank you page. GA4 shows you where people drop off.

Demographic Data

Age, gender, location, device, and language of your audience. Useful for ad targeting.

Conversion Attribution

GA4 attempts to attribute conversions to channels and campaigns. The data-driven model uses machine learning to distribute credit among touchpoints.

The 7 Blind Spots of GA4 for Info-Product Creators

1. Real Revenue per Channel

GA4 can track "conversions" — but the conversion it records is the click on the buy button or the access to the thank you page. It doesn't know if:

The payment was actually approved
The bank slip (boleto) was paid (conversion rates for these are often 30-60%)
The customer requested a refund 7 days later
The platform charged a 9.9% fee

Example: GA4 shows that Instagram generated 40 conversions in March. In reality, 8 were unpaid bank slips, 4 requested refunds, and of the 28 real sales, $2,770 went to platform fees. GA4 shows 40 sales; the reality is 28 net sales.

2. MRR and Recurring Metrics

If you have a subscription or a paid community, GA4 records the first conversion. But it doesn't track:

How many subscribers are active this month
What your MRR (Monthly Recurring Revenue) is
How many canceled (churn)
How many upgraded or downgraded
What the revenue retention from existing customers is (NRR)

These metrics live in the sales platform (Hotmart, Kiwify, Stripe), not in GA4.

3. Real LTV (Lifetime Value)

GA4 has a "Lifetime Value" report, but it measures engagement over time, not revenue. It shows how many times a user returned to the site, not how much money that customer generated over several months.

The LTV that matters for info-product creators is: "On average, a customer spends $1,240 over 8 months considering the main course, upsells, and subscriptions." GA4 does not calculate this.

4. Real CAC

GA4 shows cost per conversion if it's connected to Google Ads. However:

It doesn't include Meta Ads costs (Facebook/Instagram)
It doesn't include costs for media buyers, creatives, or tools
It doesn't discount conversions that turned into refunds
It doesn't separate new customers from repurchases

The CAC shown in GA4 is only a fraction of the real CAC.

5. Margin and Profitability

GA4 has no concept of operational costs. It doesn't know how much you spend on:

Sales platform fees
Affiliate commissions
SaaS tools
Team
Taxes

Without this data, it's impossible to calculate margin. And without margin, revenue is just a vanity metric.

6. Refunds and Chargebacks

When a customer requests a refund, GA4 doesn't "undo" the conversion. The sale continues to appear in reports as if it happened. In info-products with refund rates of 8-15%, this significantly distorts the data.

Practical Example:

GA4 reports: 100 conversions from Meta Ads in the month
Reality: 12 requested refunds
Real conversions: 88
Distortion: 13.6%

If you use GA4 to calculate ROAS, you are overestimating your return by at least 13%.

7. Performance per Product in the Value Ladder

Info-product creators with a product ladder (tripwire → core offer → upsell → mentorship) need to know which product is performing at each stage. GA4 can track different thank you pages, but it doesn't connect with the real revenue of each product or the customer's financial journey.

When GA4 Actively Misleads You

There are situations where GA4 doesn't just omit information but leads to wrong conclusions:

Last-Click Attribution Favors Branded Search

A customer sees your ad on Instagram, watches 3 videos on YouTube, searches for your name on Google, and buys through the organic link. GA4 attributes the sale to "organic search." In reality, Meta Ads and YouTube were responsible.

Sampled Data at High Volumes

GA4 uses data sampling when volume is high. This means the numbers you see may be estimates, not real data. For an info-product creator generating $100k a month, the difference between real and sampled data can be thousands of dollars.

Ad Blockers

Approximately 30% of desktop users use blockers that prevent GA4 from functioning. Your real traffic is higher than GA4 shows, and attributed conversions are incomplete.

What to Use Alongside GA4

GA4 should be part of your analytics stack, but not the only tool. The ideal breakdown is:

GA4 handles: Traffic, behavior, on-site conversion funnels, demographics.

Sales Platform handles: Transactions, payment status, refunds, subscribers.

Business Analytics Tool handles: MRR, churn, real LTV, real CAC, P&L, margin per product.

Groware fills exactly that third layer. It connects directly with Hotmart, Kiwify, Monetizze, Stripe, and Asaas to pull real revenue data — already net of fees and refunds. By crossing this with acquisition data, it calculates the metrics that GA4 is structurally incapable of providing: MRR with breakdown, churn by cohort, real LTV, CAC per channel, and automated P&L.

The Right Role for Each Tool

GA4 remains essential. Use it to understand your traffic, optimize your pages, and set up navigation funnels. But stop asking it for something it wasn't designed to do: the financial management of your business.

When you separate your traffic tool from your business tool, you stop making financial decisions based on marketing data. This separation is what differentiates info-product creators who grow sustainably from those who live off numbers that look good on a dashboard but don't show up in the bank.