March 2022: Experimentation News Round Up

Testing velocity: 6 strategies to ramp up your experiment launch speed

Conversion.com Blog | By Frazer Mawson

This post explains what velocity is and why it's important, as well as showing some of the strategies that Conversion has used to increase their agency-wide testing velocity by more than 30%.

A/B Testing is NOT Like Investing in the Stock Market: We Should Encourage High-risk/High-reward Ideas

Linkedin Newsletter | By Ronny Kohavi

In this post, Ronny Kohavi explains how with a/b testing, unlike the stock market, one can take risky bets because of the downside protection.

A/B Test or Rollout? Making The Choice With Analytics

Snapcommerce Blog | By Kelsey Pericak

In this post, Snapcommerce's Senior Manager of Data Analytics talks about the differences between a rolllout and an a/b test, and how Data Analytics plays a role.

Imbalance detection for healthier experimentation

Etsy Code as Craft Blog | By Stephane Shao, Lyubov Ignatovsky, Julie Beckley

In this post, the Etsy experimentation team share their challenges with "imbalance" and how they can now automatically detect it, how it works and how they have been able to scale it.

Learnings from a 1-year journey into A/B testing

KOHO Tech Blog | By Alex Djokic

In this post, Alex explains their "journey into A/B testing" along with some of the many lessons that helped them a/b test and increase sign-ups by roughly 3x.

A Quick-Reference Checklist for A/B Testing

Towards Data Science Blog | By Rhys Kilian

In this post, Rhys shares a checklist that he used in his role as a Data Scientist when setting up experiments at Movember.

Adobe Target adds more granular personalization features

TechTarget.com | By Don Fluckinger

Adobe Target, the personalization engine for the Adobe Experience Manager cloud platform, now includes new features that allow marketing teams to drive more granular offers across websites and mobile apps.