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February 2021: Experimentation News Round Up

By: Daniel Molina Last updated: February 26th, 2021 11 min. read

logoExperimentation News

How We Reimagined A/B Testing at Squarespace

Engineering.squarespace.com/blog | By John Absher, Joanna Tang, Srishti Sanya

In this blog post, learn about the tooling and culture improvements Squarespace made and as a result how A/B testing at Squarespace became faster, more accurate, and more impactful.

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8 Common Pitfalls of Running A/B Tests

Towards Data Science | By Leihua Ye

In this post, Leihua Ye lists 8 common pitfalls that industry folks frequently make and how to address each scenario.

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Running Experiments with Google Adwords for Campaign Optimization

DoorDash Engineering Blog | By Yingying Chen & Heming Chen

In this post, Doordash explains how they were able to run an experiment using the Google Adwords Testing Platform: “Experimentation for digital marketing is all about figuring out the most efficient and effective ways to run marketing campaigns on a digital channel.”

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Experimentation Weapon of Choice Online, Says New Republique Report

Bandt.com.au | By Samantha Dybac

The Pulse Report 2020 is based on the results of the Australian Experimentation Maturity Index and includes feedback from those responsible for digital within some of Australia’s most well-known brands across retail, finance, automotive, travel, and health including Chemist Warehouse, Subaru, P&O, HCF and Fantastic Furniture.

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A/B Testing: A Complete Guide to Statistical Testing

Towards Data Science | By Francesco Casalegno

In this article, Francesco explains how different statistical methods can be used to make A/B testing successful.

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Growth experimentation: why is 2021 the year to become an experiment business?

Bdaily.co.uk | By Kirsty Hunt

“Continual learning has always meant continual research, but today’s world is shifting at such a pace that it’s time to go beyond Conversion Optimisation (CRO) and look at addressing some big business questions through experimentation.”

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From the archives (2017)

A Refresher on A/B Testing

Harvard Business Review | By Amy Gallo

While it’s an often-used method, there are several mistakes that managers make when doing A/B testing: reacting to early data without letting the test run its full course; looking at too many metrics instead of focusing on the ones they most care about; and not doing enough retesting to be sure they didn’t get false positive results.

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logoWho’s Hiring

Program Manager, Experimentation| MicrosoftRedmond, WA

Growth Manager – Experimentation| SamsaraSan Francisco, CA

Principal Engineer| ConvoySeattle, WA

Experimentation Strategist| Fanatics. IncSan Mateo, CA

Testing and Experience Manager | Nike Direct Digital Commerce – Beaverton, CA

Lead, Experimentation| Macy’sNYC, NY

Product Manager: Experimentation and Logging A/B Testing| Ford Motor CompanyDearborn, MI

Sr. Data Scientist – Experimentation| McAfeeSan Jose, CA

Director, Experimentation| Realtor.comSanta Clara, CA

Consumer Product Manager, Experimentation –| MalwarebytesClearwater, FL

Product Manager| Epic GamesCary, NC

Data Science – Experimentation| The Knot WorldwideWashington, DC

Data Science Engineer, Experimentation| StripeSan Francisco, CA

Conversion Rate Optimization Analyst| SkechersManhattan Beach, CA

Located in Canada

Digital Optimization Strategist| WiderfunnelVancouver, BC

Director, Experimentation| Realtor.comVancouver, BC

Director of Experimentation| KOHORemote, Canada

Web Experimentation Specialist| HootsuiteVancouver, BC

Conversion Rate Optimization Manager| DoceboToronto,ON

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