Intelligems vs ABConvert vs Shoplift: Shopify A/B Testing in 2026

A/B testing on Shopify has become a platform category, and Intelligems, ABConvert, and Shoplift cover three useful approaches. They overlap less than their listings suggest. What matters is what you can test, how prices reach checkout, and how much evidence you need before acting on a result.

Facts checked September 14, 2026, against vendor listings, pricing pages, and documentation. This comparison evaluates documented capabilities and limitations; it is not a hands-on benchmark.

Disclosure: we have a referral relationship with Intelligems and none with ABConvert or Shoplift. Recommendations reflect each app's fit for the job and its published limitations.

The short version

• Intelligems is the pricing-and-profit specialist, with a broad set of shipping, merchandising, content, and offer experiments. It documents implementation trade-offs and statistical methodology. Smart Content starts at $69/month; pricing tests require Smart Pricing or an applicable bundle.
• ABConvert offers price testing from $199/month on Growth and bills by orders involved in tests. That can matter more than entry price if you test only part of a larger store. Its published allowances, overages, statistics, and ad-traffic guidance make those trade-offs easier to evaluate.
• Shoplift combines theme and template testing with native price tests on Advanced and Pro. Price testing uses Cart Transform Functions and starts on the $399/month Advanced plan, with compatibility requirements to check before buying.

Pricing and what unlocks where

These are USD monthly starting prices, not annual equivalents or quotes for every store size. App subscription tiers and Shopify subscription requirements are separate.

Sources: Intelligems listing and pricing terms, ABConvert pricing, and Shoplift listing.

Intelligems' calculator changes with order volume and module selection. The Unlimited starting price above is a bundle price, not a verified minimum for buying Smart Pricing alone. Its pricing FAQ also specifies a three-month minimum for Limited and Unlimited Smart Pricing. Get a quote for the same volume and capabilities before calculating savings.

How price testing actually works, app by app

Intelligems: dynamic pricing with documented trade-offs

Intelligems' primary route uses Shopify Cart Transform Functions, with frontend price changes and matching adjustments in cart and checkout. Its documentation says this route works across Shopify plans. Duplicate products remain an alternative for incompatible configurations. Integration overview.

The catalog normally moves to the highest price being tested, which also affects Google Shopping and other connected channels. Intelligems recommends refreshing the feed. It also documents conflicts with Shopify Bundles and situations where duplicate products may still be necessary. Price-testing FAQs.

ABConvert: check the current method and ad audience

ABConvert's documentation explicitly includes Cart Transform price tests in its 2.0 integration reference. Ask which implementation applies to your store, especially if you use subscriptions or have an older installation. Current integration reference.

Its ad guide recommends assigning ad visitors to the control price and provides 2.0 setup instructions. That changes the overall traffic split and the audience represented by the result. Confirm how the analysis handles those assignments before comparing groups. Ad-traffic guidance.

Shoplift: native price testing, with compatibility limits

Shoplift requires a one-time theme setup to mark price displays and pass test data to the cart. It updates the catalog to the highest test price when needed and uses Cart Transform Functions at checkout. Its docs explicitly explain the impact on external feeds.

The current requirements include a supported Advanced or Pro plan, a single-currency store, and compatible product pages and bundles. Recharge is the documented exception for subscription products. Check the named page-builder exclusions even if the app generally integrates with your builder. Price-testing overview and requirements.

Statistical honesty

Intelligems documents a Bayesian model with Monte Carlo simulation, probabilities to beat control and to be best, and uncertainty intervals. It recommends at least 300 orders per group and seven days, while explicitly noting that those minimums do not guarantee significance. Statistical methodology.

ABConvert documents hypothesis testing using Z-scores and p-values, with one- or two-sided tests and configurable confidence levels. Its guidance suggests 10,000 views and 200 orders. Choose the hypothesis and confidence level before reading the results. Analytics and statistics guide.

Shoplift includes Bayesian predictive analysis on Core. Ask how winner thresholds, uncertainty, and stopping rules apply to the metric you intend to optimize. Plan features.

These are different approaches, not interchangeable confidence scores. Required sample size depends on your baseline conversion rate, the size of the change you want to detect, and the metric. A vendor's minimum is a starting point for planning, not proof that a test is conclusive. An inconclusive result also does not establish that two experiences are equivalent.

Profit reporting is not exclusive to Intelligems: ABConvert's listing also describes COGS-aware metrics. Compare which costs are included and whether a result improves profit per visitor, rather than conversion rate alone.

Decision rules

1. Testing prices, margins, shipping thresholds, and offers together: shortlist Intelligems. Get the complete module quote and a demonstration of your intended combinations, including how costs enter profit reporting. Its offer-combination controls and experiment-interference guidance are useful starting points. Our price-testing guide covers the planning questions before you spend anything.
2. Price testing on a tighter budget or only part of a larger store: compare ABConvert Growth at $199/month. Estimate test-order overages, confirm your integrations, and decide how ad traffic will enter the experiment. Billing on test orders can matter more than the base subscription.
3. Testing themes, templates, and layouts: consider Shoplift. If prices are part of the roadmap, evaluate Advanced and its native price-testing requirements too. Check the eligible traffic for the pages and products you will actually test.
4. Too little traffic for a useful result: prioritize obvious improvements and grow the relevant audience. Set an effect-size target and stopping rule before buying software; a dashboard cannot make an underpowered test conclusive.

Whatever tool you choose, check the price your storefront exposes to machines as well as shoppers. The free AI readiness check helps inspect that layer; see also why AI can show the wrong Shopify price or availability.