🧩Template Test Use Cases

The goal of template testing is to find the optimal layout and design for specific pages, such as: the home, product, or collections page in your Shopify store to maximize conversions.

Optimizing Product Information

A/B testing the amount of information or the layout to convey the information on your product page can assist you in deciding the best product page template for maximum conversion.

Example Scenario

You want to decide whether to use the Multicolumn or the Multirow section to showcase your product images and descriptions. You also want to optimize the copywriting and text format.

Original	Multicolumn Detailed description in paragraphs
Variant 1	Multicolumn Concise description in bullet points
Variant 2	Multirow Detailed description in paragraphs
Variant 3	Multirow Concise description in bullet points

Potential Outcomes and Actions

Compare the Conversion Rate, especially the Add to Cart Rate between the test groups. Consider picking the combination with the highest performance in this metric. Also, refer to Avg. Staying Time to observe if engagement is increasing conversion or creating friction.

Deciding Homepage Layout

You want to test if adding more sections to your homepage, like featured products, testimonials, or a video, impacts engagement and conversions compared to a simpler layout.

Example Scenario

Original	Image slideshow Collection: featured products Multirow: popular products
Variant 1	Image slideshow Multirow: popular products Testimonials Collection: featured products
Variant 2	Image slideshow Multirow: popular products Testimonials Video Collection: featured products

Potential Outcomes and Actions

Compare the Conversion Rate, especially the Add to Cart Rate between the test groups. Consider picking the combination with the highest performance in these two metrics. The clickthrough rate of different sections and CTA buttons should also be monitored to determine whether further testing on the copywriting or format of specific sections are needed.

Adjusting Collection Templates for Product Discovery

Example Scenario

You want to test different collection page layouts to see which one leads to better product discovery and higher click-through rates to product pages.

Original	Number of columns on desktop = 4
Variant 1	Number of columns on desktop = 6 Show product rating
Variant 2	Number of columns on desktop = 6 Show product rating Quick add: Standard

Potential Outcomes and Actions

Compare the Conversion Rate, especially the Add to Cart Rate between the test groups. Also reference AOV to see if better product discovery leads to larger average order values. Consider picking the combination with optimal performance in CVR and AOV.

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Remember to control the number of variables you include in each test to better determine the effect of each variable. Always consider user experience and the loading times of your online storefront when implementing the changes based on test results.