Splitsmart A/B for Shopify

What is A/B testing and how can it benefit my Shopify store?

A/B testing, also known as split testing, is a method of comparing two or more versions of a webpage or app feature to determine which one performs better. For your Shopify store, this means testing different product prices to see which ones lead to higher conversions and revenue. By systematically testing and optimizing your pricing, you can significantly increase your store's profitability without guesswork.

How does your app analyze test results

We use advanced statistical methods, specifically Welch's ANOVA for multi-variant tests (A/B/N) and Welch's T-Test for simple A/B tests. These methods are considered industry best practices because they provide robust results even when sample sizes or variances differ between test groups. In simpler terms, this means you get more reliable insights, faster, allowing you to make confident decisions about your pricing strategy.

What makes your analysis methods better than basic A/B testing?

Our use of Welch's ANOVA and T-Test offers several benefits: More accurate results, especially when dealing with unequal sample sizes or variances Reduced risk of false positives, ensuring you don't make changes based on statistical flukes Ability to detect smaller, yet significant differences in performance between price points Faster time to reach statistical significance, allowing you to optimize prices more quickly

Do I need coding skills or statistical expertise to use this A/B testing tool?

Absolutely not! With SplitSmart, we've removed all the complexity traditionally associated with A/B testing and statistical analysis. Here's how we make it easy: Intuitive, no-code interface for setting up tests Automated statistical analysis that interprets results for you Clear, actionable insights presented in plain language Built-in best practices to guide your testing strategy Our platform handles the heavy lifting of data processing and statistical interpretation, translating complex metrics into clear, actionable recommendations. Whether you're a seasoned marketer or new to e-commerce optimization, SplitSmart empowers you to make data-driven decisions without the need for a statistics degree or programming skills.

What is A/B testing and how can it benefit my Shopify store?

A/B testing, also known as split testing, is a method of comparing two or more versions of a webpage or app feature to determine which one performs better. For your Shopify store, this means testing different product prices to see which ones lead to higher conversions and revenue. By systematically testing and optimizing your pricing, you can significantly increase your store's profitability without guesswork.

How does your app analyze test results

We use advanced statistical methods, specifically Welch's ANOVA for multi-variant tests (A/B/N) and Welch's T-Test for simple A/B tests. These methods are considered industry best practices because they provide robust results even when sample sizes or variances differ between test groups. In simpler terms, this means you get more reliable insights, faster, allowing you to make confident decisions about your pricing strategy.

What makes your analysis methods better than basic A/B testing?

Our use of Welch's ANOVA and T-Test offers several benefits: More accurate results, especially when dealing with unequal sample sizes or variances Reduced risk of false positives, ensuring you don't make changes based on statistical flukes Ability to detect smaller, yet significant differences in performance between price points Faster time to reach statistical significance, allowing you to optimize prices more quickly

Do I need coding skills or statistical expertise to use this A/B testing tool?

Absolutely not! With SplitSmart, we've removed all the complexity traditionally associated with A/B testing and statistical analysis. Here's how we make it easy: Intuitive, no-code interface for setting up tests Automated statistical analysis that interprets results for you Clear, actionable insights presented in plain language Built-in best practices to guide your testing strategy Our platform handles the heavy lifting of data processing and statistical interpretation, translating complex metrics into clear, actionable recommendations. Whether you're a seasoned marketer or new to e-commerce optimization, SplitSmart empowers you to make data-driven decisions without the need for a statistics degree or programming skills.

What is A/B testing and how can it benefit my Shopify store?

A/B testing, also known as split testing, is a method of comparing two or more versions of a webpage or app feature to determine which one performs better. For your Shopify store, this means testing different product prices to see which ones lead to higher conversions and revenue. By systematically testing and optimizing your pricing, you can significantly increase your store's profitability without guesswork.

How does your app analyze test results

We use advanced statistical methods, specifically Welch's ANOVA for multi-variant tests (A/B/N) and Welch's T-Test for simple A/B tests. These methods are considered industry best practices because they provide robust results even when sample sizes or variances differ between test groups. In simpler terms, this means you get more reliable insights, faster, allowing you to make confident decisions about your pricing strategy.

What makes your analysis methods better than basic A/B testing?

Our use of Welch's ANOVA and T-Test offers several benefits: More accurate results, especially when dealing with unequal sample sizes or variances Reduced risk of false positives, ensuring you don't make changes based on statistical flukes Ability to detect smaller, yet significant differences in performance between price points Faster time to reach statistical significance, allowing you to optimize prices more quickly

Do I need coding skills or statistical expertise to use this A/B testing tool?

Absolutely not! With SplitSmart, we've removed all the complexity traditionally associated with A/B testing and statistical analysis. Here's how we make it easy: Intuitive, no-code interface for setting up tests Automated statistical analysis that interprets results for you Clear, actionable insights presented in plain language Built-in best practices to guide your testing strategy Our platform handles the heavy lifting of data processing and statistical interpretation, translating complex metrics into clear, actionable recommendations. Whether you're a seasoned marketer or new to e-commerce optimization, SplitSmart empowers you to make data-driven decisions without the need for a statistics degree or programming skills.

Scientific Price Testing

Scientific Price Testing

Scientific Price Testing

Test different prices across your store with zero impact on customer experience. Our engine handles traffic splitting, data collection, and statistical analysis automatically.

Test different prices across your store with zero impact on customer experience. Our engine handles traffic splitting, data collection, and statistical analysis automatically.

Profit-Focused Reporting

Profit-Focused Reporting

Profit-Focused Reporting

Make impactful decisions with our best-in-class reporting, focused on real profit metrics, not vanity metrics.

Traffic Control

Traffic Control

Fine-tune your tests with advanced features like geo-targeting, multi-armed bandit algorithms, and custom traffic allocation.

Fine-tune your tests with advanced features like geo-targeting, multi-armed bandit algorithms, and custom traffic allocation.

Fine-tune your tests with advanced features like geo-targeting, multi-armed bandit algorithms, and custom traffic allocation.

Theme Agnostic

Theme Agnostic

Theme Agnostic

Optimise behind the scenes with zero theme modifications, ensuring a flawless integration with Shopify 2.0 themes.

FAQ

What is A/B testing and how can it benefit my Shopify store?

How does your app analyze test results

What makes your analysis methods better than basic A/B testing?

Do I need coding skills or statistical expertise to use this A/B testing tool?

What is A/B testing and how can it benefit my Shopify store?

How does your app analyze test results

What makes your analysis methods better than basic A/B testing?

Do I need coding skills or statistical expertise to use this A/B testing tool?

What is A/B testing and how can it benefit my Shopify store?

How does your app analyze test results

What makes your analysis methods better than basic A/B testing?

Do I need coding skills or statistical expertise to use this A/B testing tool?

Sign up today.

Sign up today.