In this episode, Andrew Faris challenges the common e-commerce advice to 'test everything.' He argues that indiscriminate testing wastes resources and obscures valuable insights. Instead, he advocates for a focused, data-driven approach to experimentation, encouraging operators to prioritize high-impact tests based on a deep understanding of their business and customer behavior.
Key takeaways
Stop random A/B testing; instead, develop a clear hypothesis based on your specific business context and target audience.
Before testing, analyze your existing data to identify areas with the greatest potential for improvement and impact.
Focus on testing variables that align with your core business goals and offer significant upside, rather than minor tweaks.
Implement a structured testing framework that allows for clear interpretation of results and iterative learning.
Avoid the allure of 'best practices' from other brands, and instead, develop testing strategies tailored to your unique brand and customer base.
"Every brand is different. Make sure to test what works for yours."
That's some of the most common advice about how to run an ecommerce business and I think it's deeply misleading and unhelpful.
In this episode of the Andrew Faris Podcast, I make the case that instead of testing everything, you should learn from the collected wisdom of the people who already have.
EPISODE SPONSORS
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