The goal of price testing is to find a product's optimal price point for maximum revenue.

The most basic question you might want to answer with A/B testing is if you can:

You can simply run a price test by increasing and decreasing a product's price by a certain amount or percentage to verify this.

The main metric to focus on is the Revenue and Conversion Rate (CVR). Consider choosing the price point with the highest Revenue. You can also observe how change in price will influence the amount of add to carts, checkouts and orders.

If you do not see a clear change in CVR, this might mean that customers are less price sensitive to your product. Thus, you can try experimenting with larger price changes. For instance (+- 30%).

If your product is entering a competitive marketspace, you can research the competing product's price. After understanding competitor prices, run a price test to experiment with:

You have 2 main competitors who prices their products at $100 and $120. You want to test if you can capture more market share by pricing lower or matching competitors.

The main metric to reference for decision making is Conversion Rate. Additionally, monitoring the Average Order Value and Profit per Visitor can provide insights into the financial impact of each pricing strategy, allowing you to balance market share and profitability.

By setting up different "compare at" prices, you can test if displaying a higher anchoring price point alongside the actual price will influence consumers' perceived value to increase conversion.

You want to see if a higher "compare at price" will also bring higher Order %. Also, you want to find a balance where the "compare at price" is high enough to create perceived value but not so high that it appears unreasonable or deceptive.

The main metric to reference for decision making is Conversion Rate (Order %) .

Remember to run price tests for a sufficient duration to gather statistically significant data. ABConvert recommends a minimum of 10,000 visitors in total and 200 orders across all test groups for reliable results. Always consider the broader impact of price changes on customer perception, brand positioning, and overall business strategy.

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The goal of shipping testing is to optimize shipping strategies to maximize conversion rates, average order value (AOV), and overall revenue.

You might want to find the optimal free shipping threshold that encourages customers to increase their cart value without significantly impacting your profit margins. This test can help you understand how different thresholds affect customer behavior.

The main metrics to focus on are Conversion Rate, Average Order Value, and Profit per View.

Testing different flat rate shipping prices can help you find the highest price customers are willing to pay without negatively impacting conversion rates.

You want to test if increasing your flat rate shipping price impacts your conversion rate and overall revenue.

Focus on Conversion Rate, Profit per View, and the Rate Seen metric (which shows how often each shipping rate is viewed by customers).

For businesses with varied product weights or order values, testing with advanced shipping rates can help optimize shipping costs and maintain profitability.

You want to test different shipping rate structures based on weight.

Monitor Conversion Rate, AOV, and overall Revenue. Also, pay attention to the distribution of order weights or values.

Remember to run tests for a sufficient duration to gather statistically significant data. Always consider the broader impact on customer experience and operational costs when implementing changes based on test results.

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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.

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.

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.

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.

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.

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.

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.

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.

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.

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The goal of theme testing is to find the optimal design and layout for your Shopify store to maximize user engagement and conversions.

Consider running a theme test when:

Simply choose the updated or adjusted theme as a variant to test against your original theme.

Compare the Conversion Rate and Average Order Value (AOV) between the test groups. Observe if the variant theme can bring better performance in the Add to Cart > Checkout > Order funnel, and if the variant theme leads to better product discovery to increase AOV. Consider picking the theme with the highest performance in these two metrics.

Focus on maintaining a cohesive brand identity when testing theme changes. Ensure that any updates align with your overall aesthetic and messaging. Also, prioritize user experience and maintain optimal loading times to enhance customer satisfaction and drive conversions.

The goal of Visual Editor testing is to optimize text, images, and HTML elements directly on your live pages without touching the theme code or creating any duplicate.

Testing different CTA button text can significantly impact click-through and add-to-cart rates.

You can change text elements to see which messaging resonates best with your audience.

You want to test if a benefits-driven headline works better than a feature-driven one.

Visual Editor allows you to replace image URLs, letting you test different hero images or product photos without changing your theme.

Monitor Conversion Rate and Engagement (Click-throughs). If a lifestyle hero image generates more clicks to product pages than a plain product image, consider adopting the lifestyle imagery across your store.

The Visual Editor is ideal for quick, high-impact changes. Ensure that any visual changes remain responsive and look good on both desktop and mobile devices.
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The goal of checkout testing is to improve conversion (Checkout Completed). You can hide, rename, or reorder the payment / delivery options to reduce checkout friction.

Testing different names for delivery methods can help improve clarity and customer satisfaction during the checkout process.

Testing the order of payment options can help identify which arrangement leads to higher conversion rates and improved customer satisfaction.

Testing the impact of dynamic content blocks in the checkout process can help optimize user experience, increase conversion rates, and improve customer satisfaction.

You want to test which type of dynamic content block (e.g., testimonial, benefit, or trust badge) placed in the checkout summary section improves customer trust and increases conversion rates.

Focus on Conversion Rate, especially Payment Info Submitted and Checkout Completed to evaluate the effectiveness of changes in delivery method names and payment option order.

Prioritize clear communication and intuitive navigation throughout the checkout process to enhance user experience. Regularly review customer feedback to identify areas for improvement, ensuring that any changes lead to a smoother and more efficient checkout, ultimately reducing cart abandonment.

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The goal of URL redirect testing is to optimize page content, layouts, and user journeys by comparing different versions of pages through URL redirection. This allows you to test variations without modifying your existing pages.

You might want to test different product page layouts, content structures, or features to improve product understanding and conversion rates.

Monitor key metrics like Conversion Rate and Average Order Value (AOV).

You might need to test different landing page variations for marketing campaigns to maximize conversion rates and ROI.

Trigger conditions

Monitor key metrics like Conversion Rate and Revenue. Choose to implement the landing page version with the best performance of the metrics you are looking to improve.

Properly configuring trigger conditions and destination URLs will help ensure that redirects occur as intended. Additionally, leveraging URL matching patterns effectively can enhance the accuracy of your tests, allowing you to compare different page versions accurately. Monitoring key metrics such as conversion rates and average order value will provide insights into the effectiveness of the changes being tested.

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ABConvert provides various audience filters for you to fine-tune your experiment design.

This option can restrict your test to specific countries. Consider using this option when:

This option can let you assign which variant visitors from different traffic sources will see. Consider using this option when:

This option allows you to show different variants based on visitor status. Consider using this option when:

This option lets you run device-specific tests. Consider using this option when:

ABConvert's advanced testing options provide powerful tools for creating highly targeted and controlled experiments. When implementing these features, it's important to consider your testing strategy holistically. While granular targeting through country filters, device types, and traffic sources can yield valuable insights, avoid over-segmenting your audience as this may extend the time needed to reach statistical significance.

For optimal results, we recommend focusing on one or two key variables per test and ensuring sufficient sample sizes in each segment. Remember that each targeting option you enable effectively reduces your total test audience, so balance the benefits of precise targeting against the need for quick, reliable results.