ABSplitLab was born from a simple frustration: the tools that help merchants optimize their stores cost more than most merchants can afford. We set out to change that.
We spent years working with Shopify merchants on conversion rate optimization. The advice was always the same: "Test everything. Let data guide your decisions." Great advice. One problem: the tools to actually run those tests were absurdly expensive.
Intelligems charges $99-$574/month. Shoplift starts at $149/month. VWO and Kameleoon are $500+ monthly. For a merchant doing $200K in annual revenue, spending $1,200-$7,000 per year on A/B testing software is a non-starter. It's the same cost as hiring a part-time employee.
So 80% of Shopify merchants skip A/B testing entirely. They guess which product image works best. They pick button colors based on personal preference. They price products based on gut instinct. They leave money on the table every single day because the tools that could help them are locked behind enterprise paywalls.
We built ABSplitLab to fix this. A real A/B testing platform with 13 test types, Bayesian statistics, AI-powered suggestions, and zero-flicker injection -- starting at $0/month. Not a watered-down version. Not a toy. A real, production-grade optimization tool at a price that makes sense for growing stores.
Our mission is to make professional-grade A/B testing technology accessible to every Shopify merchant, regardless of their budget or technical expertise. We believe that data-driven optimization shouldn't be a luxury reserved for enterprise brands with six-figure marketing budgets. Every store doing $100K to $2M in annual revenue should have access to the same testing capabilities as the billion-dollar brands, at a price that doesn't eat into their margins.
Every decision we make at ABSplitLab is guided by four core principles. They determine what we build, how we price it, and how we treat our merchants.
A/B testing doesn't have to be complicated. If a merchant can't create and launch a test in under 5 minutes without reading documentation, we've failed. Every feature we build must pass the "can a solo founder use this?" test. No jargon. No complex configuration. No developer required.
Your store's speed is sacred. ABSplitLab's injection snippet is under 2KB gzipped, uses requestIdleCallback for non-blocking execution, and employs anti-flicker technology that eliminates visual jank. We obsess over every byte and every millisecond because your Lighthouse score -- and your revenue -- depends on it.
No hidden fees. No surprise overages. No dark patterns. Our pricing page shows exactly what you get on each plan. Our statistics are honest -- we won't declare a winner until the data is conclusive. We show confidence intervals, not just conversion rates, because the truth matters more than a pretty dashboard.
Pricing is a feature. We believe that charging $99-$574/month for A/B testing is a market failure, not a reflection of true costs. ABSplitLab is priced at $19-$49/month because that's what it should cost. We make a healthy margin at these prices. Our competitors make an excessive one at theirs.
ABSplitLab is purpose-built for a specific audience: Shopify merchants doing $100K to $2M in annual revenue who want to optimize their stores with data but can't justify spending $74-$574/month on enterprise tools.
You're running marketing, customer service, fulfillment, and product development. You don't have a dedicated CRO team or a front-end developer on staff. ABSplitLab is designed so you can set up a test in 5 minutes between answering customer emails and packing orders.
You have enough traffic to run meaningful tests (500+ daily visitors) but not enough margin to justify $99+/month for testing software. You know you should be testing, but the math hasn't made sense until now. ABSplitLab makes the math work.
You've been paying $99-$574/month for Intelligems, Shoplift, or VWO, and you're using maybe 30% of the features. ABSplitLab gives you the 80% you actually need at 70% less cost. Same core functionality, fraction of the price.
ABSplitLab is built with the same technologies used by the most sophisticated SaaS platforms, optimized for Shopify's ecosystem. We use Remix for the dashboard, Shopify 2.0 Theme App Extensions for native integration, and Bayesian statistics for accurate, actionable results.
Server-side rendered dashboard with Shopify Polaris components. Fast, accessible, and built on Shopify's official app template.
Native Theme App Extensions and Script Tags. No theme code editing required. Works with every Online Store 2.0 theme.
Enterprise-grade relational database for experiment configuration, variant data, and computed results. ACID-compliant and battle-tested.
In-memory event counters with background job processing. Events are batched and flushed every 10 seconds. No real-time database writes per page view.
Both frequentist (Z-test, p-values) and Bayesian (posterior distributions, credible intervals, expected loss) analysis computed server-side every hour.
Claude and Gemini AI for personalized test suggestions, copy generation, and testing roadmaps. Choose your preferred AI provider.
Every engineering decision at ABSplitLab is guided by these principles. They're why our snippet is under 2KB, our injection has zero flicker, and our statistics are trustworthy.
The tracking snippet must stay under 2KB gzipped. Every byte matters. We don't load frameworks, analytics libraries, or third-party SDKs on your store. Just a minimal assignment script that reads a cookie, applies a variant, and fires a beacon. That's it.
We collect zero personal information. No names, emails, IP addresses, or fingerprints. Only anonymous session IDs and aggregate metrics. First-party cookies only. Full Shopify Customer Privacy API compliance. GDPR, CCPA, and ePrivacy compliant out of the box.
We never declare a false winner. Our statistical engine requires a minimum sample size, runs both Z-test and Bayesian analysis, and shows confidence intervals alongside point estimates. We'd rather tell you "not enough data yet" than give you a misleading result.
Page views and events are counted in Redis and flushed to PostgreSQL in batches every 10 seconds. This means a high-traffic store with 100K daily visitors generates 8,640 database writes per day instead of 100,000. Your tests run accurately even during traffic spikes.
Join the growing community of Shopify merchants who use data, not guesswork, to optimize their stores.
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