Georgi Georgiev performed a meta-analysis of over 1000 A/B tests and has a great deal to share about:- What you should expect your win rate to be- The benefits of sequential testing- Why you should report on confidence intervals

Let's face it, experimentation is completely misunderstood. The power and the benefit and potential of it is to innovate and develop a business. And when you think about it, that's what experimentation has always been in relation to the scientific method. If you think about spaceflight, medicine, anything great that's happened in the history of modern civilization, this has all happened as a result of the careful application of the scientific method.

Experimenters obsess about many A/B Testing Statistics concepts - but not all of them are worth worrying about. Statsig's Timothy Chan shares his thoughts about test isolation, interaction effects and confidence levels - some of his thoughts may surprise you.

In this presentation, Andra Baragan, the Founder of ONTRACK DIGITAL will walk you through what you need to know to build a strong, successful relationship with your clients and with your team.You will learn:- how to set expectations with your client from Day 1- how to leverage operating procedures and automate your work- how to communicate with clients and get stakeholder buy-in every time

10 lessons that helped John Ekman in Launching a CRO agency. John learned many lessons when launching his agency - he wants to share them with you.

After decades of acquisition marketing, companies are waking up to the fact that optimising the entire lifecycle of the customer is the way to go. That happens due to rising acquisition costs, cookie deprecation, siloes, company mentalities, etc.In this session, Valentin will share insights from his 12 years of experience transitioning from CRO - website optimization to increase the conversion rate to CVO - experimenting towards improving the CLV.

Message-Market fit is the idea that a message, whether it be a product, service or idea, needs to resonate with a specific target market in order to be successful. It involves finding the right message that effectively communicates the value proposition of a product or service to a particular audience, in a way that resonates with them.

A/B testing plays a critical role in decision-making - but so does AB Testing Statistics Mistakes. In data-driven companies, A/B tests not only prove positive impacts of product features (treatments) but also provide evidence to safely roll out neutral features that are not expected to move business metrics. When rolling out a neutral feature, we need to test if the treatment is non-inferior to control, and conventional A/B testing is not suitable in this case.

Add Exploration and Validation phases to your testing program - because most of your wins are fake.

Having mature conversations with immature markets, the problem with the word, “Hypothesis”, the importance of HiPPOs with Nima Yassini