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Help Center/Experiments/How experiments work

How experiments work

Martijn Douma
Martijn Douma · Co-founder bluebarry
Updated September 26, 2026

An experiment shows some of your shoppers a new version of a quiz, search setup, popup or page, and measures whether it does better than what they see today. When one version is clearly better, you publish it to everyone. You find out what works instead of guessing.

The idea in three steps

  1. Keep your original. What shoppers see today stays live as the Control version. Every new version is compared with it.
  2. Add a new version. Change one thing you think works better, for example a shorter quiz or a popup headline that leads with the discount. Build it yourself, or describe it and let AI draft it.
  3. Keep the winner. A share of shoppers sees each version. When one is clearly better on the goal you picked, you publish it to all shoppers.

What you can test

Each experiment tests one quiz, one search configuration, one popup, one collection page or one recommendation block. You pick one main goal, the thing that should improve.

What each experiment can test and measure
You testWhere it lives in StudioGoals you can pick
QuizzesQuiz funnels, open a quizShoppers who answer, shoppers who finish, email sign-ups, product clicks, orders, revenue per shopper
SearchMerchandising → Search, open a search configurationProduct clicks, add-to-carts, orders, revenue per shopper, quizzes opened from search
PopupsPopups, open a popupShoppers who interact, form submissions, clicks, orders
Collection pagesMerchandising → Collection pages, open a pageProduct clicks, add-to-carts, orders, revenue per shopper
RecommendationsMerchandising → Recommendations, open a blockProduct clicks, add-to-carts, orders, revenue per shopper

Where to find experiments

Go to Experiments in the sidebar, under Data. The page lists every experiment in your store with what it tests, its status, its goal and the share of shoppers taking part. Filter by Running or paused, Drafts or Finished, or pick a surface. A yellow note at the top tells you when a paused experiment needs your attention.

The Experiments page listing a quiz, search and popup experiment with their status, goal and share of shoppers.

Each editor also has an Experiments button in its header, with a small badge when an experiment is running or paused. Opening an experiment always takes you to its editor, where the experiment page opens on top. Back to the quiz editor (or search settings, popup editor and so on) closes it again.

Who takes part

You choose what share of shoppers joins the experiment, 10% by default. Only they are split between your original and the new versions. Everyone else keeps seeing your published version, so a risky idea never reaches your whole store. You can also limit the experiment to shoppers in one audience segment.

A shopper keeps the same version for the whole experiment, on every visit. When bluebarry recognizes the same person on another device, they keep their version there too.

Traffic follows the results

bluebarry experiments are adaptive. At the start, new shoppers in the experiment are split evenly between the versions. Once each version has enough results, bluebarry checks about once an hour and sends most new shoppers to the version that is doing best so far. A steady share keeps going to every version, your original included, so the comparison stays honest and a slow starter can still catch up.

The benefit: fewer shoppers see a weaker version while the test runs, so you lose less while you learn. The Activitytab of each experiment shows every shift, for example “Version B 80%, Control (original) 20%”.

Built-in safety checks

While an experiment runs, bluebarry watches for versions that fail to load, break a quiz path, return empty search results or popups that shoppers keep closing. If a version clearly hurts your main goal (or quiz completion), the experiment stops and everyone sees your published version again. Other problems pause the experiment until you have looked at them.

Experiments and Personalizations

The two answer different questions. Personalizations keep running: they give one segment its own rules and hold back a small control group, so you can see what targeting that segment earns over time. An experiment compares whole versions of one quiz, search setup, popup or page, picks a winner and then ends. You can combine them: limit an experiment to a segment to find the best version for those shoppers.

Good to know

  • One experiment at a time per quiz, search configuration, popup, collection page or recommendation block.
  • A quiz has to be published before you can test it. Your published version is always the original in the experiment.
  • Nothing extra to install. Experiments run through the bluebarry script or Shopify app embed you already have.
  • Order and revenue goals need purchase tracking. On Shopify the bluebarry app tracks checkouts for you. See Track Shopify checkout conversions.

Next steps

  • Set up an experiment
  • Build the versions you want to test
  • Read results and publish the winner

Related articles

Set up an experiment

Start an experiment from a sentence or in five steps: choose the goal, the share of shoppers and how carefully results are judged, then launch.

Read article →

Read results and publish the winner

Understand the verdict, counted shoppers and likely ranges, learn when a version wins, then publish it, pause, stop or drop a version.

Read article →

Measure personalizations

Read the Personalizations page: exposure, uplift with its confidence range, incremental revenue, what each status means and what to do next.

Read article →

Let AI and Barry help with experiments

Choose an autopilot mode, decide what AI may change and set its limits, and ask Barry to explain results or set up an experiment for you.

Read article →

Can’t figure it out? We probably can.

Every article here was written by the people who built the product. If one of them still leaves you stuck, tell us and we’ll fix it.

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