A/B Testing Articles

  • Co-authors: Kenneth Tay and Xiaofeng Wang At Linkedin, we constantly evaluate the value our products and services deliver, so that we can provide the best possible experiences for our members and customers. This includes understanding how product changes impact key metrics related to those experiences. However, simply looking at connections between product...

  • Our Approach to Research and A/B Testing

    December 7, 2022

    We are constantly striving to improve the experience on LinkedIn for our members and customers, with research and experimentation, such as A/B Testing, playing a key role in that work. Nearly a decade ago, I discussed the importance of these techniques in our journey to create economic opportunity for every member of the global workforce. Today we have a strong...

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    Measuring downstream impact on social networks by using an attribution framework

    July 21, 2022

    Co-authors: Qiannan Yin, Derek Koh, and Jenny Wu The network effect in social networks increases the complexity of conducting analysis, as the actions of members have the ability to impact others within the network. For instance, a member posting an article on LinkedIn could result in actions downstream where other members see the post and interact with it by...

  • Measuring marketing incremental impacts beyond last click...

    July 14, 2022

    Co-authors: Maggie Zhang, Joyce Chen, and Ming Wu What’s my ROI? In every company, there’s a fundamental need to understand the...

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    Budget-split testing: A trustworthy and powerful approach...

    January 21, 2021

    Co-authors: Min Liu, Vangelis Dimopoulos, Elise Georis, Jialiang Mao, Di Luo, and Kang Kang The LinkedIn ecosystem drives member and...

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    A/B testing at LinkedIn: Assigning variants at scale

    December 16, 2020

    Co-authors: Alexander Ivaniuk and Weitao Duan Editor’s note: This blog post is the second in a series providing an overview and...