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Home/ Questions/Q 831549
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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T04:13:19+00:00 2026-05-15T04:13:19+00:00

Please explain (with examples) what is meant by A/B testing of a website.

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Please explain (with examples) what is meant by A/B testing of a website.

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  1. Editorial Team
    Editorial Team
    2026-05-15T04:13:20+00:00Added an answer on May 15, 2026 at 4:13 am

    In the context of a web site it means that some users of the site/webapp get slightly modified version(s) and you verify how each modification affects the usability/user’s behavior compared to baseline “control” version.

    As always with A/B testing, which is a statistical technique, you need a large enough sample to properly assess impact of change.

    This was done by both Amazon and Google among well known web companies.

    A VERY good article (with marketing angle) on web A/B testing is : http://www.clickz.com/3349901

    In the interest of completeness, here’s the full A/B testing definition from Wikipedia:

    A/B testing or bucket testing is a
    method of marketing testing by which a
    baseline control sample is compared to
    a variety of single-variable test
    samples in order to improve response
    rates. A classic direct mail tactic,
    this method has been recently adopted
    within the interactive space to test
    tactics such as banner ads, emails and
    landing pages.

    Significant improvements can be seen
    through testing elements like copy
    text, layouts, images and colors.
    However, not all elements produce the
    same improvements, and by looking at
    the results from different tests, it
    is possible to identify those elements
    that consistently tend to produce the
    greatest improvements.

    Employers of this A/B testing method
    will distribute multiple samples of a
    test, including the control, to see
    which single variable is most
    effective in increasing a response
    rate or other desired outcome. The
    test, in order to be effective, must
    reach an audience of a sufficient size
    that there is a reasonable chance of
    detecting a meaningful difference
    between the control and other tactics

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