Hi ​@Emily.C - this is a great question. I currently do something similar but do it outside of the Klaviyo platform. The way that I would set his up is by utilizing the UTM Term (image of where you can add that in the campaign editor is below). You can make you alt text the product title. You can then use Google Analytics or the web analytics platform you use and track clicks and orders for that campaign based on the UTM Term which would be the product title.
 

Let me know if you have any more questions on this.

Thanks,

Zach

Hi ​@Emily.C ,

Klaviyo doesn’t have this exact report built-in, but you can get this info in two ways:

1. Use UTM tags + Google Analytics

Add a UTM tag (like the product name) to your email links. Then use Google Analytics to see which products got lots of clicks but few purchases.

2. Use Klaviyo data manually

If you're tracking “Viewed Product” and “Placed Order” in Klaviyo, you can:

• Check which products got clicks in emails.

• Compare that to products with low or no orders.

It’s a bit manual, but doable. Let me know if you want help setting it up.

Hi ​@Emily.C 

Yes — while Klaviyo doesn’t have a pre-built report for this exact use case, you can absolutely create a workaround using custom analytics and the Product Performance data from email campaigns. Here’s how to build insight into which items are getting high clicks but low purchases:

1. Go to Campaign Performance Report

• Navigate to Campaigns > gSelect Campaign] > View Report
• Scroll to the “Link Activity” or “Product Performance” section (if using product feeds or dynamic blocks)

2. Export Link Click Data

• Export the report to see which product URLs were clicked the most
• Identify SKUs or product URLs with high click-through rates

3. Compare to Purchase Data

• Go to Analytics > Product Performance
• Filter by the same date range and compare the clicked products with those that had low or no sales
• Products with high clicks but low orders are your low-converting opportunities

Additional Tips:

• Set up a segment for users who clicked a product but didn’t purchase (use Clicked Email and exclude Placed Order)
• Use this to build a targeted follow-up flow or A/B test different offers or messaging on those products
• If using UTM tags or Google Analytics, you can also refine this with enhanced ecommerce reports