How To Optimize Your Ecommerce Store With A/B Testing — Yi Hung Lin | What A/B Tests To Run In Shopify, Why A/B Testing Is A Proven Growth Method, What Test Length Works Best, Why Most Tests Won’t Beat The Control, Why Code Cleanup Matters (#395) | Ecommerce Coffee Break – The Ecom Marketing & Sales Podcast | Podwise
How To Optimize Your Ecommerce Store With A/B Testing — Yi Hung Lin | What A/B Tests To Run In Shopify, Why A/B Testing Is A Proven Growth Method, What Test Length Works Best, Why Most Tests Won’t Beat The Control, Why Code Cleanup Matters (#395)
This episode explores the power of A-B testing for Shopify store owners, emphasizing data-driven decision-making over guesswork. Jeffrey, founder of A-B Convert, explains A-B testing as a scientific approach to validate hypotheses, using the example of testing different banners for a physical store to illustrate its application in an online setting. He advises store owners to identify problems by analyzing data from sources like Shopify reports and Google Analytics, categorizing issues based on factors like Average Order Value (AOV), traffic, and retention. A-B Convert aims to simplify this process within Shopify by offering native A-B testing features, such as price and shipping tests, addressing common pain points for online store owners. Jeffrey notes a common mistake is viewing A-B testing as a one-off solution rather than a continuous process, highlighting that only a small percentage of tests yield positive results, necessitating patience and a well-planned roadmap. Success stories include a puzzle company that increased prices by 5% after A-B testing, resulting in a significant revenue increase, and a European store that optimized its shipping threshold, increasing AOV and revenue.
