December is always a great chance to look back on the year and reflect on the highlights. In the spirit of this, here are some of the top blog posts written this year. All of these come from blog posts by employees at top brands, as it’s always insightful to hear how each organization approaches experimentation and their perspective on certain challenges.
From everyone here at Widerfunnel, we wish you all happy holidays and a happy new year.
In this blog post, Sidhant Bakhru, Senior Product Marketing Manager at Hulu, shares details about how Hulu created a Center of Excellence and the key actions the group took to take experimentation efforts to the next level.
In this blog, Simi Agbaje explains why they decided a rapid experimentation approach — and how it allowed them to validate as many concepts as possible as quickly as possible.
In this post, Senior Product Manager Rina Fufaeva explains why experiment velocity is so important to HelloFresh.
Vista’s Director of Experimentation shares his insights and an outline of the culture they seek to build at the organization.
At Lyft, the experimentation team’s purpose is to drive data-driven decision making. In this blog post, Henry explains what parameters are, how they can be optimized, and the challenges they faced.
This introduction was the first in a multi-part series on how Netflix uses A/B tests to make decisions that continuously improve their products.”
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.
In this blog post, the Airbnb team explains the Experiment Guardrails framework implemented at Airbnb, and its impact on key metrics when experimenting at scale.
The New York Times uses A/B tests to make decisions about the products and features they release, but their mobile test allocation wasn’t separating users properly. Here’s how they fixed it.
In this blog post, the Disney Streaming team talks about their experience piloting “holdout groups” for Hulu subscribers. Learn more about what a holdout group is, why they needed it and the lessons learned.
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.”
In this post, Le Wang explains how some experiments at Wayfair can last 60 days or more and what they needed to do in order to speed up learning in experiments while still optimizing for long term rewards.
Website Product Owner| Best Egg – Wilmington, DE
Design Lead| Widerfunnel – Vancouver, BC
Digital Optimization Strategist| Widerfunnel – Vancouver, BC
Digital Programs Manager| Widerfunnel – Vancouver, BC
Manager, Experimentation| Canadian Tire Corp – Ontario, CA
Conversion Rate Optimization Specialist| The Motley Fool – USA
Ecom Growth Optimization Manager| adidas – Portland, OR
Senior Backend Engineer, Growth: Experimentation| GitLab – Vancouver, BC (Remote)
Senior Manager, Conversion Experimentation| Disney Streaming – NYC, NY
Senior Digital Experimentation Specialist| Hilton – Memphis, TN
Director, Growth Marketing| Realm – NYC, NY
Senior Analyst, AB Testing and Data Operations| 2U – NYC, NY
Product Manager – Experimentation & AB Testing| Lowe’s – Charlotte, NC
Senior Software Engineer – Experimentation| Realtor.com – Vancouver, BC
Senior Data Analyst-Data Science Experimentation| Realtor.com – Phoenix, AZ
Sr. Marketing Manager, Experiments| Amazon – Seattle, WA
Senior Product Manager, Experimentation| ZipRecruiter – Austin, TX
Director of Experimentation Engineering| Nike – Beaverton, OR
Experimentation Lead, Web Presence| Stripe – New York, NY
Senior Product Manager – Experimentation| Twitter – Remote
Lead, Experimentation| Macy’s – NYC, NY
Sr. Product Manager, Experimentation| WarnerMedia – Culver City, CA
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