This article walks you through how to access Page Analytics in GemX and improve low-conversion pages.
What is Page Analytics
Page Analytics is your central performance dashboard inside GemX. It shows how every page in your Shopify store performs, even pages that are not currently part of an experiment. With one view, you can see where shoppers drop off, which channels bring traffic, and what’s dragging your conversion rate down.
GemX Page Analytics is designed for Shopify merchants who need quick, ready-to-use insights without switching between GA4, Shopify Analytics, and manual spreadsheets.
How Page Analytics Works With GemX Experiments
If a page is part of an active or paused A/B test:
- The page title shows an experiment tag
- You can hover to preview the experiment name
- You can click to jump directly into Experiment Analytics
- Metrics still show the real-world performance, not experiment-filtered data
- Each variant’s result is still analyzed inside the Experiment Analytics view
This makes it easy to compare overall page health with experiment results side by side.
A Dashboard for All Your Shopify Page Performance
Two View Modes: All Sessions vs. Session Start With Page
GemX gives you two ways to analyze your page performance depending on your CRO goal:
All sessions (default)
- Counts any session that views the page.
- Best for pages where users often enter mid-session (product pages, collection pages).
Sessions start with page
- Only counts sessions that start on that page.
- Best for pages used in ads, email campaigns, or influencer traffic.
- Cleaner for analyzing true landing-page performance.
You can switch between modes to understand both broad performance and pure landing-page performance.
With Page Analytics, you get a complete picture of how each page is performing:
- Home page
- Landing pages
- Product pages
- Collection pages
- Blog posts
Each page is displayed in a sortable table with top-level metrics so you can instantly spot underperformers.
Pages currently inside an A/B test are automatically labeled, and you can locate the experiment report from the table.
Metrics Page Analytics Track
Page Analytics highlights the metrics that matter most for CRO:
- Sessions: total visits to the page
- Bounce rate: percentage of users who leave without taking action
- Click-through rate (CTR): percentage of users who click something on the page
- Conversion rate: percentage of users who complete checkout
- Add-to-cart rate
- Orders
- Average order value (AOV)
- Revenue per visitor (RPV)
- Pageviews
- Average time on page
- Traffic sources (paid social, direct, SMS, organic, etc.)
- Device types (desktop, tablet, mobile)
- New vs returning visitors
This mix of performance, engagement, and revenue metrics helps you quickly diagnose where the problem is: top of funnel (bounce), mid-funnel (CTR), or checkout funnel (AOV, CVR).
How to Access the Analytics of Your Page?
GemX Page Analytics is available directly from your main Analytics dashboard. You can filter pages, review performance metrics, and open deeper insights like Path Analysis with just a few clicks.
Follow the steps below to view analytics for any page in your store.
Step 1: Go to Analytics in GemX
From your GemX dashboard, open the Analytics tab.
You’ll see an overview table displaying all store pages, grouped by page type:
Each row shows the page title, its URL, and top-level metrics such as Sessions, Bounce Rate, Click-through Rate, and Conversion Rate.
If a page is part of an experiment, it will display an “In Live experiment” or “In Paused experiment” tag next to the title.
Step 2: Filter or Search for the Page You Want to Analyze
Use the filter bar at the top to quickly locate your page:
- Filter by page type (e.g., Product pages)
- Sort by sessions, CTR, conversion rate, or any other metric
- Use the search bar to enter a product name or URL
This helps you identify low-conversion or high-traffic pages faster.
Step 3: Access the Page Details View
Click on any page in the table to open its analytics overview.
- Sessions
- Visitors
- Bounce rate
- Click-through rate
Use the View by dropdown in the upper-right corner to switch between:
- All sessions
- Sessions start with page
This changes how GemX aggregates data depending on your analysis goals (e.g., ad landing page vs. organic browsing behavior).
Scroll down to the Path analysis section. This funnel shows how users move from your page through key steps:
- Page views (sessions)
- Added to cart
- Reached checkout
- Completed checkout
Path Analysis highlights where the biggest drop-offs occur, allowing you to identify the exact stage causing low conversion.
Learn more: How to Use Path Analysis to Identify Drop-Offs
Scroll down to see all detailed charts, including:
- Avg time on page
- Pageviews
- Revenue per visitor
- Traffic source breakdown: Visitors by type, Sessions by device type, and Sessions by traffic source
Conversion metrics, including:
-
Add to cart rate
-
Orders
-
AOV and Revenue
This makes it easy to compare overall page health with experiment results side by side.
Frequently Asked Questions
Does Page Analytics work if my page is not in an experiment?
Yes. Page Analytics tracks performance for every page in your Shopify store, whether it’s part of an A/B test or not. You’ll still see full metrics such as sessions, bounce rate, CTR, conversion rate, and traffic sources.
What’s the difference between “All sessions” and “Sessions start with page”?
All sessions count any session that views the page, even if shoppers entered elsewhere.
Sessions start with page only counts sessions where the page is the first touchpoint, ideal for landing pages used in ads or email campaigns.
Can Page Analytics show experiment performance?
Page Analytics shows the overall health of a page. If the page is in an A/B test, you’ll see a label and can click through to Experiment Analytics, where each variant’s performance is analyzed separately.
How often does GemX update my Page Analytics data?
Data refreshes continuously throughout the day. Most merchants see updates within minutes, depending on session volume and Shopify’s event processing.
How do I know which pages to optimize first?
Sort your Page Analytics table by bounce rate, CTR, or conversion rate to spot underperformers. Pages with high traffic but low conversion are usually the strongest candidates for optimization or A/B testing.
