Drew Marconi, a veteran of thousands of split tests, reveals the common pitfalls and misconceptions ecommerce businesses make when running A/B tests. This episode cuts through the noise, offering practical advice on how to design, execute, and interpret split tests effectively to drive real growth and avoid wasting valuable resources on inconclusive or misleading results.
Key takeaways
Most AB tests are poorly implemented due to a lack of understanding of statistical significance and proper test design. Don't fall into the trap of ending tests too early or making decisions on insufficient data, as this can lead to 'false positives' or 'false negatives'.
The most effective split tests aren't about reinventing the wheel but identifying leverage points. Focus on testing critical elements that directly impact conversion or customer behavior, and prioritize tests with the biggest potential upside.
It's crucial to have a clear hypothesis before starting any test. Vague ideas lead to vague results. A strong hypothesis guides test design, helps in analyzing outcomes, and ensures learnings are actionable.
Don't just look at the winning variant. Understand *why* it won (or lost). Deep dive into the data to uncover customer insights, which can inform future tests and broader strategic decisions.
Small, iterative tests are often more effective than infrequent, large-scale overhauls. Consistent testing builds a robust understanding of your audience and what resonates, leading to compounding gains over time.
Drew Marcon is the founder and CEO of Intelligems. Learn more about Intelligems at intelligems.io.FOLLOW UP WITH ANDREW X: https://x.com/andrewjfaris Email: podcast@ajfgrowth.comWork with Andrew: https://ajfgrowth.comINTELLIGEMSIntelligems brings A/B testing to business decisions beyond copy and design. Test your pricing, shipping charges, free shipping thresholds, offers, SaaS tools, and more by clicking here: https://bit.ly/42DcmFl. Get 20% off the first 3 months with code FARIS20.MORE STAFFINGRecruit, onboard, and train incredible virtual professionals in the Philippines with my friends at More Staffing by visiting https://morestaffing.co/af.
What does this episode say about conversion & cro?
Most AB tests are poorly implemented due to a lack of understanding of statistical significance and proper test design. Don't fall into the trap of ending tests too early or making decisions on insufficient data, as this can lead to 'false positives' or 'false negatives'.
What does this episode say about analytics & attribution?
The most effective split tests aren't about reinventing the wheel but identifying leverage points. Focus on testing critical elements that directly impact conversion or customer behavior, and prioritize tests with the biggest potential upside.
What does this episode say about dtc strategy?
It's crucial to have a clear hypothesis before starting any test. Vague ideas lead to vague results. A strong hypothesis guides test design, helps in analyzing outcomes, and ensures learnings are actionable.
What does this episode say about conversion & cro?
Don't just look at the winning variant. Understand *why* it won (or lost). Deep dive into the data to uncover customer insights, which can inform future tests and broader strategic decisions.
What does this episode say about conversion & cro?
Small, iterative tests are often more effective than infrequent, large-scale overhauls. Consistent testing builds a robust understanding of your audience and what resonates, leading to compounding gains over time.
