Hello everyone,
I’m reaching out to the community for some insights and best practices regarding analytics implementation in the Shopify Hydrogen stack. Our current setup involves using Google Tag Manager (GTM) to manage various tracking pixels. However, we’ve encountered challenges, particularly in tracking UTM codes in Google Analytics (GA) during the checkout process.
One of our key questions is: how can we effectively pass UTM codes to the checkout stage in Shopify?
Additionally, we originally set up a Hydrogen channel but faced issues with inconsistent Oxygen deployments. As a workaround, we are now hosting our setup on Vercel, still utilizing the initial Hydrogen channel.
Our main goal is to enhance our analytics capabilities. We are deliberating between leveraging Google Analytics or Shopify Analytics and would greatly appreciate any advice or experiences shared on which platform might be more effective for our needs.
Furthermore, we find the Shopify report “Sales by Product Variant SKU” extremely useful, where we can track various columns like marketing event target, type, and various UTM parameters (campaign content, medium, name, source, and term). Could anyone guide us on how to implement this effectively in our current setup?
In summary, we are looking for:
- Solutions for tracking UTM codes in GA during checkout.
- Insights on hosting Hydrogen on Vercel and any related best practices.
- Recommendations on whether to use GA or Shopify Analytics for our specific needs.
- Advice on implementing detailed Shopify reports similar to “Sales by Product Variant SKU” in our system.
Any suggestions, tips, or shared experiences would be immensely helpful.
Thank you in advance for your time and assistance!
Best regards,
Matt