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A/B Testing for Product Feeds

Run experiments on any feed attribute, schedule when each variant goes live, and let performance data decide which one stays

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Set Up Every Experiment Visually, No Code Needed

Build a feed experiment the same way you build your feed rules, choosing what to change, when it runs and which products it applies to, all on screen

  • Change one attribute or several

    A single experiment can modify one field or many at once, from titles and images to categories or any other attribute in your feed.

  • Schedule when each experiment runs

    Set a start date and an optional end date, so a test goes live and ends on its own without you watching the calendar.

  • Target only the products you want

    Add conditions to scope an experiment to specific categories, brands or product ranges, so you test only the products you choose and leave the rest untouched.

Choose How Your Experiment Runs

Feed A/B testing works in three ways: a clean parallel split, a straight rotation, or a hybrid that combines both

  • Duplicated, run side by side

    The duplicated method clones the original product under a new ID and runs the modified variation alongside it, so both compete at once with no clash between them.

  • Rotated, swap over time

    The rotated method keeps the existing ID and cycles your variations through it on a schedule, for example one version this week and another the next.

  • Hybrid, the best of both

    The hybrid method rotates fresh copies while still measuring them against the untouched original, pairing a clean control with rotation over time.

Test Anything in Your Feed

Any attribute, changed by any modifier, means there is almost nothing you cannot turn into an experiment

  • Experiment on any attribute

    Titles, descriptions, images, product types, prices or custom labels, any field in your feed can be the subject of a test.

  • Use any modifier as the variation

    Every modifier on the platform can generate your test variation, from AI titles and image edits to formulas, overrides and lookups.

  • Put AI up against your originals

    Run AI-generated titles or images against your current data, measure the difference and keep whichever variation performs better.

See Which Version Wins

Every experiment is measured on real channel performance, so the data decides the winning variation

  • Compare variations on real data

    Track clicks, conversions and return on ad spend for each variation at the product level, with results based on actual channel performance.

  • Built on your reporting

    Experiments feed into the same item-level reporting you already use, with data pulled from your ad platforms, analytics and store.

  • Apply the winner in one step

    End the test and roll the winning variation straight into your live feed, with no manual rebuild.

Frequently Asked Questions

Common questions about A/B testing your product feeds with Feedoptimise

  • What is A/B testing for product feeds?

    A/B testing for product feeds is the process of running two or more versions of your product data against each other to see which performs better on a channel. With Feedoptimise you can test any attribute, such as titles or images, measure each variation on real channel data, for example from Google Shopping, and apply the winning version to your live feed.

  • Can I test more than one attribute in a single experiment?

    Yes. A single experiment can modify one attribute or several at once, for example a new title and a new image together, and you choose exactly which fields each test changes.

  • What is the difference between the duplicated, rotated and hybrid methods?

    The duplicated method clones the original product under a new ID and runs the variation alongside it. The rotated method keeps the same ID and cycles variations through it over time. The hybrid method rotates fresh copies while still comparing them against the original.

  • Which feed attributes can I A/B test?

    You can test any attribute in your feed, including titles, descriptions, images, product types, prices and custom labels. Any modifier on the platform can generate the variation, so AI titles, edited images, formulas and overrides can all be tested.

  • Can I schedule a feed experiment to start and end on its own?

    Yes. Each test has a start date and an optional end date, so it goes live and wraps up automatically. You can also scope it with conditions so it only applies to certain categories or product ranges.

  • How do I know which version won?

    Every variation is measured on real channel performance such as clicks, conversions and return on ad spend at the product level. When the test ends you implement the winning version directly into your live feed.

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