Run this on web Basic ($100/mo). The live pricing table lists A/B testing under Essentials. Treat the 2023 "weight switch next to each campaign" copy as the current label. Help now says split % on the board, plus control group. Expect a stats engine that will call a winner for you. Help does not describe sequential testing or a significance calculator. You look at the numbers. More on the product: Adoric review . Templates first: how to use templates .

How to run an A/B test on Adoric in 2026

Q: How do you set up the test?

1. Log in to Adoric . Open the campaign you want to test, then leave the editor so you are on the campaigns board. Help's first sentence is "Exit the campaign." 2. Select the campaign. Use the actions bar → create an A/B test. The 2023 UI called this "Duplicate Variation" inside the editor: 3. Change one thing on the new variant. Button colour, headline, offer, not all three. If you change everything you will not know what moved the number. 4. Split the traffic. Help: you can set the % per variation and add a control group (the original page, no campaign). 5. Publish. Do not keep editing live variants unless you are starting a new test. 6. Read results on Analytics. The web product meters pageviews , not impressions. A test can burn pageviews on people who never saw a popup. That is a pricing problem, not a statistics problem.

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Capsule. Exit the campaign. On the campaign board, open the actions bar and create an A/B test. Split the percentages. You can add a control group. A visitor who saw variant A keeps seeing A. Source: Conducting A/B testing (updated 25 June 2024, still in the 2026 help index). Web pricing on 23 August 2026 puts A/B testing on Essentials ($250/mo) and up, not Basic. Shopify's App Store lists A/B testing as a feature without splitting it by order rung.

If the "Duplicate Variation" control in the screenshot below is missing, you are on the current board flow, not the 2023 editor chrome. Keep the image; the click path in help is what to follow.

How do you set up the test?

1. Log in to Adoric. Open the campaign you want to test, then leave the editor so you are on the campaigns board. Help's first sentence is "Exit the campaign."

2. Select the campaign. Use the actions bar → create an A/B test.

The 2023 UI called this "Duplicate Variation" inside the editor:

choosing the Duplicate the selected variation on Adoric

3. Change one thing on the new variant. Button colour, headline, offer, not all three. If you change everything you will not know what moved the number.

4. Split the traffic. Help: you can set the % per variation and add a control group (the original page, no campaign).

5. Publish. Do not keep editing live variants unless you are starting a new test.

6. Read results on Analytics. The web product meters pageviews, not impressions. A test can burn pageviews on people who never saw a popup. That is a pricing problem, not a statistics problem.

What does Adoric lock in?

Adoric's own warning: once a user has been exposed to a version, they always see that version. Good for cleanliness. Bad if you published a broken variant at 50% and wanted to yank it for returning visitors. Pause the test instead of hoping the cookie forgets.

What can you not do?

Run this on web Basic ($100/mo). The live pricing table lists A/B testing under Essentials.
Treat the 2023 "weight switch next to each campaign" copy as the current label. Help now says split % on the board, plus control group.
Expect a stats engine that will call a winner for you. Help does not describe sequential testing or a significance calculator. You look at the numbers.

More on the product: Adoric review. Templates first: how to use templates.

Written and reviewed by

Emel Dalabasmaz

SEO Executive at Flatart

Emel Dalabasmaz graduated in Advertising and Public Relations from Anadolu University. She began in social media and carried that grounding — content, brand communication and performance — into SEO. For more than ten years she has worked on growth for brands across a range of industries, pairing a communications perspective with data and technical analysis to build a digital presence that holds up over time.

Education: Advertising and Public Relations, Anadolu University
Writes about: Popup builders, Conversion rate optimization, On-site messaging, SaaS pricing research, SEO, Technical SEO, Content strategy, Digital marketing