If you’ve ever wished you could see what your Payhip customers were doing, where they came from, which pages they visited, how long they stuck around — Google Analytics is the tool that makes that happen.
And the best part? You can set it up in under 10 minutes.
I used to rely entirely on Payhip’s built-in dashboard, which is helpful, but kinda basic. Once I added Google Analytics, I could track traffic from email campaigns, see what content kept people engaged, and even spot drop-offs before checkout.
If you’re ready to get that kind of insight, here’s how to connect Google Analytics to your Payhip store in 4 super simple steps.
Why Even Bother with Google Analytics?
Think of it like this: Payhip tells you what sold.
Google Analytics tells you why it sold — or didn’t.
With GA4 (Google Analytics’ latest version), you’ll be able to:
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Track visitors in real time
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See which platforms (email, social, search) drive traffic
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Monitor how long people stay on your pages
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Watch your conversion rate and drop-offs
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Build marketing strategies based on real customer behavior
Without it? You’re kinda just guessing.
If you want to go even deeper into tracking performance beyond sales, check out our guide on how to track sales on Payhip for store analytics and reporting.
What You Need Before You Start?
You only need three things:
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A Payhip store (free or paid)
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A Google Analytics account — set up through analytics.google.com
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Less than 10 minutes
No coding. No plugins. Just copy, paste, done.
Also, if you’re new to e-commerce data, this beginner’s guide to smarter store decisions using analytics is a great primer before you start diving into reports.
Step 1: Create Your Google Analytics Account (GA4)
If you’ve never used Google Analytics before, go to analytics.google.com, click “Start measuring,” and walk through the setup.
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Create your account name (e.g. “My Store Analytics”)
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Set up a property — this is where your store’s data will live
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Choose Web as your platform
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Add your Payhip store URL (e.g. https://yourstore.payhip.com)
That’s it — now you’re ready to connect it to Payhip.
Step 2: Copy Your GA4 Measurement ID
Once your property is set up:
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Go to Admin → Data Streams → Web
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Click on your data stream (your Payhip URL)
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Copy your Measurement ID — it looks like this: G-XXXXXXXXXX
You’ll use this code to link your store to GA4.
Want to push this even further? Add UTM tracking to your marketing campaigns so you can pinpoint exactly what traffic is converting.
Step 3: Add the ID to Your Payhip Account
Now log in to Payhip.
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Go to Account Settings
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Click Advanced Settings
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Paste your Measurement ID into the Google Analytics field
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Hit Save Changes
Boom! you’re connected.
Step 4: Confirm It’s Working in Real-Time
To make sure everything’s live:
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Open your store in an incognito browser tab
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Go back to Google Analytics
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Click Reports → Realtime
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You should see 1 active user (that’s you!)
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Click around your store to see page views show up
If it doesn’t show right away, wait a few minutes. Still nothing? Double-check that your ID is pasted correctly and saved.
If you’re running paid ads, this is the perfect time to combine GA with your campaign data. Learn how to use analytics to optimize ad campaigns and improve ROI.
Bonus Tips for Smart Tracking
Once GA is running, here are a few things I recommend doing:
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Use UTM links in emails and social posts so you know what traffic converts
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Set up conversions in GA4 — like thank-you page views for completed sales
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Create custom reports in Looker Studio (formerly Google Data Studio)
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Check reports weekly to spot trends and test strategies
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Combine with Payhip’s own dashboard for a full picture (sales + behavior)
Want to go beyond basic data? Here’s how to analyze customer behavior to boost sales and user experience.
Final Thoughts
Setting up Google Analytics for your Payhip store is hands-down one of the most useful things you can do and it takes barely any effort.
Once it’s live, you’ll know where your traffic is coming from, how customers behave, and where you can improve. That means smarter marketing, better product positioning, and more sales over time.
So don’t wait. Set it up now and start making decisions based on real data.
