Live session
Mastering A/B Testing: Lessons from Chess.com (200M+ Users) & Phil Carter
29th of August, 11 a.m. EDT / 4 p.m. BST


Phil Carter,
Growth Advisor,
CEO of Elemental Growth
Joe Wilkinson,
Product Manager,
Monetization at Chess.com
Andrey Shakhtin,
CEO and Co-Founder of FunnelFox

Register to watch
Live session
29th of August, 11 a.m. EDT / 4 p.m. BST
Mastering A/B Testing: Lessons from Chess.com (200M+ Users) & Phil Carter


Phil Carter,
Growth Advisor, CEO of Elemental Growth
Joe Wilkinson,
Product Manager, Monetization at Chess.com
Andrey Shakhtin,
CEO and Co-Founder of FunnelFox

Register to watch
Running an A/B test is easy. Running one that delivers insights you can trust and repeat at scale is not. It takes careful planning, sharp execution, and clear rules for interpreting results.
In this session, Phil Carter (Elemental Growth, ex-Faire, Quizlet, Ibotta) and Joe Wilkinson (Chess.com, ex-Meta) will share advanced A/B testing strategies and hard-earned tactics from years of hands-on experimentation. They’ll show how to design tests that truly scale in web2app funnels, where every misstep means wasted spend and lost users.
You'll learn:
When to use different types of A/B tests (standard A/B, A/A, “Do No Harm”, etc.)
How to set success, secondary, and guardrail metrics
How to calculate sample size and runtime for trustworthy results
How AI is transforming companies’ approach to A/B testing setups and techniques
Note: If the registration form doesn’t load, try opening the page in Google Chrome
Running an A/B test is easy. Running one that delivers insights you can trust and repeat at scale is not. It takes careful planning, sharp execution, and clear rules for interpreting results.
In this session, Phil Carter (Elemental Growth, ex-Faire, Quizlet, Ibotta) and Joe Wilkinson (Chess.com, ex-Meta) will share advanced A/B testing strategies and hard-earned tactics from years of hands-on experimentation. They’ll show how to design tests that truly scale in web2app funnels, where every misstep means wasted spend and lost users.
You'll learn:
When to use different types of A/B tests (standard A/B, A/A, “Do No Harm”, etc.)
How to set success, secondary, and guardrail metrics
How to calculate sample size and runtime for trustworthy results
How AI is transforming companies’ approach to A/B testing setups and techniques
Note: If the registration form doesn’t load, try opening the page in Google Chrome