ab.one A/B Testing vs ABSplitLab
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 9, 2026 for ab.one A/B Testing, Oct 13, 2026 for ABSplitLab.
The short answer
- Both list a free plan. Paid plans start at $49/month for ab.one A/B Testing and $19/month for ABSplitLab.
- ABSplitLab lists 5 features ab.one A/B Testing’s listing doesn’t mention, including Benchmarking, Checkout analytics, GDPR compliance.
Head to head
Free
- · 1 active A/B-Test
- · 1 custom audience
- · 100 monthly store orders
- · 200 AI credits, one-time
- · Bayesian statistics
- · Community support
Starter
- · 2,000 AI Credits
- · 3 active A/B-Tests
- · 5 custom audience
- · 500 monthly store orders
- · Bayesian statistics
- · Email support
Growth
- · 2,000 monthly store orders
- · 8,000 AI Credits
- · Bayesian statistics
- · Priority support
- · Unlimited A/B-Tests
- · Unlimited custom audience
Scale
- · 10,000 monthly store orders
- · 30,000 AI Credits
- · Bayesian statistics
- · Dedicated support
- · Unlimited active A/B-Tests
- · Unlimited custom audience
Free
- · 1 active experiment
- · 1,000 visitors/month
- · Statistical significance testing
- · Test button color
- · Test description
- · Test product image
Starter
- · 5 active experiments
- · 50,000 visitors/month
- · All Free features included
- · Template testing
- · Test Split URL
Growth
- · 200,000 visitors/month
- · All Starter features included
- · Bayesian statistics
- · Checkout flow
- · Device analytics and audience targeting
- · Price testing
Scale
- · AI-powered suggestions
- · Advanced audience segmentation
- · All Growth features included
- · Custom CSS/JS
- · Multi-currency pricing
- · Unlimited experiments and visitors
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureab.one lets you test different template variants on your storefront without code changes. Create tests for any page type including product pages, collections, homepage, and more. Track key e-commerce metrics like conversion rate, revenue per visitor, and order value. Use advanced audience targeting to test specific visitor segments based on device, location, or traffic source.
Most A/B testing tools require a developer. ABSplitLab takes only 5 minutes to set up. Pick a test type, select your product, configure two variants, and start collecting data. The app handles visitor assignment, event tracking, and statistical analysis automatically. Results include conversion rates, revenue attribution, Bayesian probability, and confidence intervals.
- Test any template: homepage, products, collections, cart, blog, and more
- Track CVR, AOV, revenue per visitor, add-to-cart rate, and click-through rate
- Target audiences by device, location, UTM parameters, or referrer source
- Real-time reports with Bayesian statistics tell you when results are conclusive
- 13 visual test types: images, titles, prices, checkout flow, and more
- Zero-flicker tracking snippet under 2KB with no impact on store speed
- Bayesian statistics and AI-powered test suggestions for smarter decisions
- Audience targeting by device, location, UTM source, and customer tags
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  ABSplitLab | |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | ABSplitLab | |
|---|---|---|
| App Store rating | Not published | Not published |
| App Store reviews | Not published | Not published |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | ABSplitLab | |
|---|---|---|
| Free plan | Yes | Yes |
| Lowest paid monthly plan | $49/month | $19/month(ahead) |
| Longest free trial | Not listed | 3 days |
| Plans listed | 4 | 4 |
Listing
| Measure | ABSplitLab | |
|---|---|---|
| Shopify category rank | Not enough data | #936 |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Oct 30, 2026 | May 1, 2026 |
| Languages | 1 | 9 |
| Developer | kreativkonnekt GmbH | MyDeveloper |
FAQ
ab.one A/B Testing and ABSplitLab: common questions
- Is ab.one A/B Testing or ABSplitLab cheaper?
- Both list a free plan. Paid plans start at $49/month for ab.one A/B Testing and $19/month for ABSplitLab. Shoplist compares base prices only between monthly plans in the same currency; usage charges and annual plans vary, so check each plan’s limits.
- What features does each app list that the other doesn’t?
- ab.one A/B Testing lists 3 the others don’t mention, such as Marketing attribution, Profit insights, Report scheduling. ABSplitLab lists 5 the others don’t mention, such as Benchmarking, Checkout analytics, GDPR compliance, Notifications. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 9, 2026 for ab.one A/B Testing, Oct 13, 2026 for ABSplitLab; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 9, 2026 for ab.one A/B Testing, Oct 13, 2026 for ABSplitLab. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.