This episode offers actionable advice for Shopify merchants looking to optimize their stores in 2022. It covers leveraging Shopify features like Flow and exploring the benefits of moving from headless to a simplified Shopify core setup. It also delves into the nuances of A/B testing for meaningful results and discusses alternative analytics tracking in a post-iOS 14.5 world.
Key takeaways
Utilize Shopify Flow for automation scenarios like scheduled theme publishing for sales events or internal notifications for fraud detection, even just to experiment with its capabilities since it's free with Advanced and Plus plans.
Consider simplifying your tech stack by moving from a headless setup back to Shopify core, as demonstrated by Overtone Hair Care, to streamline operations and reduce complexity.
When conducting A/B tests using tools like Google Optimize, ensure tests run for a minimum of 14 days and achieve statistical significance with a large enough sample size (thousands) and a 95% "probability to be best" before making definitive conclusions, to avoid acting on "noise."
Don't blindly adopt 'best practices' from others' A/B tests; instead, use them as inspiration to run your own tests on your specific store and audience to validate results.
Explore alternative analytics and attribution solutions beyond Google Analytics, especially given the impact of iOS 14.5 and the upcoming mandatory shift to Google Analytics 4, to maintain comprehensive performance tracking.
What does this episode say about shopify & ecommerce platforms?
Utilize Shopify Flow for automation scenarios like scheduled theme publishing for sales events or internal notifications for fraud detection, even just to experiment with its capabilities since it's free with Advanced and Plus plans.
What does this episode say about conversion & cro?
Consider simplifying your tech stack by moving from a headless setup back to Shopify core, as demonstrated by Overtone Hair Care, to streamline operations and reduce complexity.
What does this episode say about analytics & attribution?
When conducting A/B tests using tools like Google Optimize, ensure tests run for a minimum of 14 days and achieve statistical significance with a large enough sample size (thousands) and a 95% "probability to be best" before making definitive conclusions, to avoid acting on "noise."
What does this episode say about dtc strategy?
Don't blindly adopt 'best practices' from others' A/B tests; instead, use them as inspiration to run your own tests on your specific store and audience to validate results.
What does this episode say about shopify & ecommerce platforms?
Explore alternative analytics and attribution solutions beyond Google Analytics, especially given the impact of iOS 14.5 and the upcoming mandatory shift to Google Analytics 4, to maintain comprehensive performance tracking.
