What Data is Google Analytics Goals Unable to Track?

Google Analytics Goals are fantastic for tracking important user actions on your website, like form submissions or key page views. But if you rely on them exclusively, you’re looking at a puzzle with a few essential pieces missing. This article will walk you through exactly what Google Analytics Goals can't track and how to start filling in those blanks for a much clearer view of your business performance.

First, a Quick Refresher on How GA Goals Work

Understanding the limitations of goals starts with understanding their fundamental design. At its core, a goal in Google Analytics (especially Universal Analytics, where the concept was most rigid) marks the completion of a specific activity, called a conversion, during a single user session.

Think of it as a tally counter. Did a user, within one visit, do the thing you wanted them to do? Yes or no?

Most goals fall into a few categories:

• Destination: Fired when a user lands on a specific page, like a "thank-you.html" page after filling out a form.
• Duration: Triggered when a user's session lasts longer than a specified time.
• Pages/Screens per session: Counts a conversion when a user views a specific number of pages.
• Event: Fired when a user completes a specific interaction you've defined as an event, like clicking a button or watching a video.

This session-based "did they or didn't they" framework is powerful for basic web analytics, but it’s also the root cause of its major blind spots.

Limitation #1: The World Outside the Website Session

The single biggest thing Goals miss is anything that doesn’t happen inside a web browser during a single, continuous visit. This creates two enormous holes in your data: one related to the user journey and another related to your business’s real-world operations.

The Disconnected User Journey

Modern customer journeys are messy. A potential customer might visit your site from a Facebook ad on their phone, read a blog post, and leave. A week later, they might search for your brand on their laptop, visit your pricing page, and download a case study. Finally, a few days after that, they might click a link from your newsletter and request a demo.

To your business, this is one cohesive user journey. To standard Google Analytics Goals, these are three separate, disconnected sessions. The "request a demo" goal will fire in the third session and attribute the conversion entirely to your newsletter. It has almost zero awareness of the critical roles the Facebook ad and the organic search played in nurturing that lead. Goals are fundamentally session-centric, not user-centric. They can tell you what happened in the visit that converted but struggle to tell the story of why that human decided to convert over time.

All Your Offline Actions

For many businesses, the most important conversions happen away from the website entirely. Google Analytics Goals are clueless about these offline wins.

Here are just a few examples of critical events GA Goals are unable to track:

• Phone Calls: A user sees your number on the contact page and calls your sales team. GA knows they visited the page, but that’s where the trail goes cold. It never knows a call was made, let alone whether that call resulted in a sale.
• In-Person Visits or Purchases: If you run a local business or a physical retail store, a huge part of your online marketing effort is designed to drive foot traffic. A goal can track if someone clicked for directions, but it can't know if they actually showed up or bought anything.
• Closed Deals in your CRM: This is a massive gap for B2B companies. A website conversion is often just the beginning of the journey. The real conversion is when that lead is marked "Closed-Won" in Salesforce or HubSpot weeks or months later. Standard GA Goals cannot see this information. You know you got a lead, but you can’t easily tie marketing efforts back to a signed contract and actual revenue.

Limitation #2: The Lack of Historical Data and Funnel Flexibility

Another major challenge with goals is their rigidity. They are not very flexible once they are set up, and they are completely blind to anything that happened before you created them.

You Can't Apply Goals Retroactively

Let's say you launch a new "Book a Consultation" button on your service pages. For three months, you completely forget to set up a goal to track it. One day, you realize your mistake and create the event goal. That's great, but you will only start collecting data from that moment forward. There is absolutely no way to go back and see how many people clicked that button in the previous three months. The data is simply not there, and you can't get it back. This makes proactive and thoughtful analytics setup absolutely critical.

Funnel Visualizations are Deceivingly Strict

Destination goals allow you to build a "funnel visualization," which shows where users drop off along a predefined path, like a checkout process (Cart > Billing Info > Shipping > Confirmation).

This sounds great in theory, but these funnels are incredibly rigid. They only work properly if users follow your exact, linear path. In reality, users often behave unpredictably:

• They might skip a step.
• They might go back to a previous step to change something.
• They might enter the funnel in the middle.

The standard funnel reports have trouble accounting for this messy, real-world behavior, which can make it look like more people are "dropping off" than are actually leaving your site. It can misrepresent how users are truly navigating your process.

Limitation #3: Confusing Revenue with Static "Goal Value"

Connecting your website behavior to real money is the ultimate goal of analytics, but standard GA goals make this surprisingly difficult and imprecise.

Goal Value is Not Revenue

When you set up a goal, you have the option to assign it a "Goal Value." For example, if you know that one in every ten demo requests becomes a customer worth $1,000, you might assign a Goal Value of $100 to your "Demo Request" goal.

This is a helpful estimation, but that's all it is - an estimate. It’s a static, average you've entered manually. A goal can't dynamically pull the actual contract or order value from a real transaction. So if one demo request leads to a $500 deal and another leads to a $5,000 deal, your reports will show both incorrectly as being worth $100.

The Data Import Headache

A similar problem exists with your ad costs. Google Analytics automatically pulls in cost and performance data from Google Ads, making it easy to see your Return on Ad Spend (ROAS) for those campaigns.

But what about Facebook Ads, LinkedIn Ads, or any other non-Google platform? GA doesn’t pull that data in automatically. To calculate your true ROAS, you have to go through the painstaking, tedious process of manually exporting spreadsheets from each ad platform and importing them into Google Analytics. This is slow, prone to errors, and a task most teams rightfully abandon, leaving them unable to compare the performance of their marketing channels in one place.

(It's worth noting here that true tracking of dynamic revenue is what the more complex Enhanced Ecommerce setup is for, but baseline Goals simply can't do it.)

How to Start Filling in the Analytics Gaps

Seeing these limitations isn’t about ditching Google Analytics, but about supplementing it to get a complete story. Here are a few ways to start building a more robust tracking system.

Embrace Google Analytics 4: GA4 was built to address some of these issues. Its event-based data model is more flexible than the session-based model of its predecessor, Universal Analytics. In GA4, almost any user interaction can be captured as an event, and any event can be marked as a conversion. This makes it easier to track more nuanced user journeys on-site, though it still doesn't solve the core offline tracking problem.

Connect Your Tools: The key to seeing the whole picture is connecting your separate systems. Use a tool like Zapier or a direct integration to send data between platforms. For example, when a deal is marked "Closed-Won" in Salesforce, automations can send that data back into your analytics environment. This closes the loop between online marketing activities and offline sales revenue.

Use a Centralized Platform: The most effective approach is to send all your data - from Google Analytics, your ad platforms (Facebook, LinkedIn, etc.), your CRM (Salesforce, HubSpot), and your payment processor (Shopify) - into a single place that's designed to stitch it all together. This moves you beyond guessing and provides a genuine bird's-eye view of your business performance.

Final Thoughts

Google Analytics Goals are indispensable for tracking key on-site interactions within a session. But they leave significant blind spots when it comes to the full customer journey, all offline activities, and integrated cost and revenue data from multiple platforms, forcing you to make decisions with an incomplete picture.

This is precisely the problem we built Graphed to solve. Manually connecting platforms and pulling CSVs to understand your true performance is a painful drain on time and resources. We make it easy by creating one-click integrations with all your key sources - from Google Analytics and Facebook Ads to Shopify and Salesforce. You can ask questions in plain English, and we’ll instantly generate a real-time dashboard showing the complete journey, connecting ad spend from one platform directly to the revenue reported in another.