What is Google Ad Hoc Labs?
If you're looking for 'Ad Hoc Labs' in your Google Analytics 4 property, you might be scratching your head trying to find it. This powerful feature hasn’t disappeared - it has simply evolved and been renamed. This guide breaks down what Ad Hoc Labs was, what it’s called now, and how you can use this incredible toolset to dig deeper into your site's data.
From Ad Hoc Labs to Explorations: A Quick History
In the early days of Google Analytics 4, the advanced analysis section was introduced as a beta feature called "Ad Hoc Labs." It was a clear sign that Google was moving away from the rigid, pre-defined reports of Universal Analytics and toward a more flexible, hands-on approach to data analysis. The name "ad hoc" perfectly described its purpose: creating specific, custom reports on the fly to answer immediate business questions.
As GA4 matured and left its beta phase, Ad Hoc Labs was given a permanent, more polished name: Explorations. So, if you're looking for Ad Hoc Labs today, you just need to navigate to the "Explore" tab in the left-hand navigation of your GA4 property. It’s the same powerful engine, just with a new name and an official home in the GA4 interface.
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Why Use Explorations? The Advantage Over Standard Reports
GA4's standard reports are great for getting a high-level overview of traffic, engagement, and conversions. But what happens when you have a question that isn't answered by those dashboards? That’s where Explorations shine. It’s your personal data sandbox, allowing you to ask much more specific questions.
The main advantages of using Explorations include:
- Access Unsampled Data: One of the biggest frustrations in Universal Analytics was data sampling. For high-traffic sites, standard reports would often be based on a sample of the data, not the whole picture. Explorations in GA4 almost always return unsampled data, giving you a more accurate and granular view.
- Custom Funnel Analysis: While standard reports show basic conversion rates, a Funnel Exploration lets you define specific steps a user takes (e.g., viewed product > added to cart > began checkout > purchased) and see exactly where they drop off. You can even create "closed" funnels (where users must follow steps in order) or "open" funnels (where users can enter at any step).
- Advanced Segmentation: You can apply and compare multiple audience segments in a single view. Want to see how traffic from your latest email campaign behaves differently from your paid search traffic? Or compare mobile users to desktop users side-by-side? Explorations makes this easy.
- Path Analysis: See the specific journeys users take on your site. You can start from a specific page to see where users go next or work backward from a conversion event (like a form submission) to see the most common paths that led to it.
A Tour of the Different Exploration Types
When you open the Explorations section, you're greeted with a gallery of templates. Each template is a starting point designed to answer a specific type of question. Let's look at the most common ones.
1. Free-form Exploration
This is the most flexible and commonly used type. It's like having a pivot table for your GA4 data. You can choose different dimensions (like Page title, Source / medium, or Device category) and metrics (like Users, Sessions, or Conversions) to build custom tables, donut charts, line graphs, scatter plots, and geo maps. This is your go-to for most custom reporting needs.
Example Use Case: Creating a table that shows your top 10 landing pages and breaking down the number of users, session duration, and conversions for each page.
2. Funnel Exploration
This report visualizes the steps users take to complete a task and lets you see how well they succeed at each step. You define a series of steps (based on events or page views) and GA4 automatically generates a bar chart showing the progression and dropout rate between each step. It's incredibly useful for optimizing conversion paths.
Example Use Case: Visualizing your e-commerce checkout process from "add to cart" to "purchase" to identify which step is causing the most friction or abandonment.
3. Path Exploration
This exploration creates a tree graph that visualizes the stream of user activity. You can start with an event (like session_start) to see the most common paths users take after arriving on your site, or you can start with a concluding event (like purchase) to work backward and see the journey leading to that outcome. It helps uncover user behaviors you might not have expected.
Example Use Case: Finding out what pages users visit most often right before they use your internal site search function.
4. Segment Overlap
This template uses a Venn diagram to show you how different user segments overlap. It's a quick way to understand the relationship between different audiences you've built. For instance, are the people who visit from mobile devices the same people who come from organic search? This report can tell you.
Example Use Case: Seeing how many users are both "Mobile Traffic" and "Purchasers" to understand the commercial impact of your mobile audience.
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5. Cohort Exploration
A cohort is a group of users who share a common characteristic, usually the date they first visited your site. Cohort Exploration tracks the behavior of these groups over time. This is invaluable for understanding user retention and lifetime value.
Example Use Case: Creating a cohort of users who first visited in the first week of a new marketing campaign and tracking their return visit rate or purchase behavior over the following weeks.
How to Create Your First Exploration: A Step-by-Step Guide
Ready to build one yourself? Let’s create a simple Free-form exploration to see which marketing channels are driving the most users.
- Navigate to Explorations: In GA4, click the Explore icon in the left navigation menu.
- Choose a Template: Click on the "Blank" or "Free-form exploration" template to start from scratch.
- Understand the Layout: You'll see three main panels:
- Add Your Variables:
- Configure the Report:
- The canvas on the right will instantly populate with a table showing your marketing channels, ranked by the number of active users, with a column for conversions. You can change the visualization from "Table" to "Donut chart" or "Bar chart" in the Tab Settings panel to find the best way to display your insights.
Practical Tips for Better Data Analysis
- Start with a Question: Don't just dive in and start dragging dimensions randomly. Have a specific question in mind, like "Which blog posts are most popular with visitors from the US?" This focus will guide you toward the right variables and report type.
- Use Segments and Filters: The real power of Explorations comes from narrowing your focus. Instead of looking at all users, create a segment for "Mobile Traffic" or "Organic Search Visitors." You can also apply filters to drill down into specifics, like only showing data for a specific campaign or country.
- Save Your Work: Once you build an exploration you find useful, give it a name and save it. You can come back to it later and the data will be refreshed automatically.
- Don't Be Afraid to Experiment: Explorations is a safe space. Nothing you do here will change your underlying data or your standard reports. So, play around, try different combinations, and see what you discover.
Final Thoughts
Google's shift from Ad Hoc Labs to the fully-featured Explorations in GA4 marks a huge step forward for marketers and data analysts. It gives everyone the power to move beyond pre-canned reports and truly interact with their data, allowing for deeper insights and more informed decision-making without needing expensive, complex BI tools.
Even with powerful tools like GA4 Explorations, finding insights often requires bouncing between platforms and manually piecing together the full customer journey. That's why we built Graphed . We wanted to connect all your data - from Google Analytics to Shopify to your ad platforms - in one place and allow you to ask questions in plain English. Instead of learning which dimensions and metrics to combine, you can just ask, "Show me traffic and sales from my Facebook campaigns for last month," and get an answer instantly.
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