ABSplitLab vs Theme Scientist A/B Testing
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 13, 2026 for ABSplitLab, Nov 8, 2026 for Theme Scientist A/B Testing.
The short answer
- Only ABSplitLab lists a free plan. Paid plans start at $19/month for ABSplitLab and $9.99/month for Theme Scientist A/B Testing.
- ABSplitLab lists 15 features Theme Scientist A/B Testing’s listing doesn’t mention, including AI insights, Benchmarking, Cohort analysis.
Head to head
Easy AB Testing + Analytics + Theme Scheduling
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
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
Tester
- · 14 day free trial
- · Analytics
- · Product A/B testing
- · Theme A/B testing
- · Theme scheduler
- · Up to 50 orders per month
Tester+
- · 14-day free trial
- · Analytics
- · Product A/B testing
- · Theme A/B testing
- · Theme scheduler
- · Up to 250 orders per month
Tester Pro
- · 14-day free trial
- · Analytics
- · Product A/B testing
- · Theme A/B testing
- · Theme scheduler
- · Up to 500 orders per month
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureMost 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.
Maximize your conversion rate by understanding what drives customer conversions. With Theme Scientist, you can conduct AB testing on your Shopify theme effortlessly and without code. Each theme test delivers critical data to optimize your store and improve sales. Our no-code solution makes it easy to experiment with theme and product details.
- 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
- Run AB testing on your Shopify theme – learn what improves conversion rate!
- Run AB testing on your products – change titles, descriptions, and more
- Use AB testing results to enhance customer experience and boost conversion rates
- Easily schedule changes to your Shopify theme for timed promotions!








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 | Theme Scientist A/B Testing |
|---|---|---|
| Detected stores | Not published | 76 |
| Net store change, 28 days | 0 | −6 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Apparel & Accessories, Health & Beauty, Home & Garden |
| Top store countries | Not published | United States, Italy, Australia |
Reviews
| Measure | ABSplitLab | Theme Scientist A/B Testing |
|---|---|---|
| App Store rating | Not published | 4.0 ★ |
| App Store reviews | Not published | 13 |
| New reviews, 28 days | Not enough data | 0 |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | ABSplitLab | Theme Scientist A/B Testing |
|---|---|---|
| Free plan | Yes | Not listed |
| Lowest paid monthly plan | $19/month | $9.99/month(ahead) |
| Longest free trial | 3 days | 14 days |
| Plans listed | 4 | 3 |
Listing
| Measure | ABSplitLab | Theme Scientist A/B Testing |
|---|---|---|
| Shopify category rank | #928 | #443(ahead) |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | May 1, 2026 | Mar 5, 2020 |
| Languages | 9 | 1 |
| Developer | MyDeveloper | PreviewX |
FAQ
ABSplitLab and Theme Scientist A/B Testing: common questions
- Is ABSplitLab or Theme Scientist A/B Testing cheaper?
- Only ABSplitLab lists a free plan. Paid plans start at $19/month for ABSplitLab and $9.99/month for Theme Scientist A/B Testing. 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?
- ABSplitLab lists 15 the others don’t mention, such as AI insights, Benchmarking, Cohort analysis, Custom reports. 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 Oct 13, 2026 for ABSplitLab, Nov 8, 2026 for Theme Scientist A/B Testing; 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 Oct 13, 2026 for ABSplitLab, Nov 8, 2026 for Theme Scientist A/B Testing. 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.















