How to choose an A/B test tool
CRO weekly #174
Hi,
Welcome to a fresh CRO weekly newsletter with an overview of interesting reads and jobs you might have missed. Everything is handpicked by me. Enjoy!
Reads in this week newsletter:
How to chose an A/B test tool
Detecting interaction effects in online experimentation
Interview with Ryan Lucht about his experimentation career
History of Google Analytics and lookout to GA 4
Monitoring and alerting for A/B testing — detecting problems in real time
Encouragement designs and instrumental variables for A/B testing
Boost productivity by using memos instead of Powerpoints
Have a nice week!
Tom
4 Best Practices for Designing for Tabbed Browsing
According to Melanie, the best way to navigate an ever-changing business landscape is to continuously refine your knowledge and experimentation process in order to make the best possible “next decision”.
Read the full article here from FullStory
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Interesting reads
How to chose an A/B test tool
This article is a curated list of applications for experiment conduct and analysis – a lineup that could serve as viable alternatives to Google Optimize once it's sunsetting.
Detecting interaction effects in online experimentation
In this article they share how to detect interactions and share code and tools they built at Vista to address this issue.
Interview with Ryan Lucht about his experimentation career
Quote from the interview: “Conversion Rate Optimization was never totally the right umbrella for me – I’ve always been more interested in the meta-level of running experiments than purporting to be a valuable source of specific experiment ideas.”
Read all the experimentation career interviews here
Do you want to share your experimentation career journey with me? React on this mail or send me message via Linkedin
History of Google Analytics and lookout to GA 4
Brian Clifton wrote a history about Google Analytics and the impact in the industry. He ends with a lookout to the impact of GA 4.
Monitoring and alerting for A/B testing — detecting problems in real time
In this article WalmartLabs elaborate how they build alerting applications in their AB testing tool Eppo. It’s watching their real-time reporting system and makes sure the system and the experiments made in the A/B testing framework works properly as expected.
Encouragement designs and instrumental variables for A/B testing
Encouragement designs and IV estimators can be useful tools in situations where a standard A/B test is not possible or not desirable. The upsides of an encouragement design (allowing all users access to a feature and making marketing possible) need to be balanced with the downsides (possible violations of the exclusion restriction, the limited interpretability of the LATE, and the higher requirements to reach statistical power).
Boost productivity by using memos instead of powerpoints
Imagine this: everyone gathers, the memo is distributed, and all participants individually dive into its content. By doing so, in the first part of the meeting, everyone absorbs the information and context for what's to come. And then you discuss. Odd? Not to Jeff Bezos at Amazon.
Job opportunities
Looking for a new challenge in experimentation? Find 100+ experimentation related jobs on ExperimentationJobs.com. These jobs are from all over the world, on-site, fully remote or hybrid. Take a look and start pivoting your career.
This week’s featured roles:
Senior CRO Analist at ClickValue (Amsterdam, Netherlands)
Senior Data Analyst – Product Analytics and Experimentation at Bauer Media (Hamburg, Germany)
CRO Specialist at Creative Clicks (Amsterdam, Netherlands)
Senior Analytics Engineer at Linktree (Los Angeles, USA)
Senior Product Data Scientist at WeTransfer (Amsterdam, Netherlands)
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