This document discusses using A/B testing to maximize sales for online stores. It provides examples of A/B tests from three different Shopify stores that increased metrics like page visits, transactions, and sales. It then explains what A/B testing is and how to implement it using a tool like Optimizely. Some common elements to test are highlighted like headlines, categories vs products, images, and call to action text or location. Analytics can help identify areas to test and improve conversions.
8. Many Possible Reasons
4 Maybe more traffic?
4 Maybe the images you picked were better?
4 Maybe the order of the products you showed were
different.
4 Maybe the products you featured were different?
4 Maybe it was that people were less distracted by the
menu bar?
13. What is a conversion?
Something measurable that you want to improve:
4 Total revenue
4 Number of people looking at products
4 Total people adding products to cart
16. How the analytics work
1. When a visitor visits your store, Visual Website
Optimizer puts a cookie in the visitor's browser so it
remembers which version it showed them.
2. When they come back, they are always shown the
same version.
3. When the visitor converts (say a checkout page), it
looks to see which variation of the page the visitor
looked at and adds that conversion to that variation
45. Some Usual suspects
1. Changing a headline (Edit text)
2. Showing categories vs product (Removing/Hiding
Elements)
3. Background image
4. Call to action location
5. Call to action text