§ COMPARE · SHOPSHIFT VS AB TASTY
ShopShift vs AB Tasty — autonomous CRO vs enterprise AI
ShopShift vs AB Tasty: AB Tasty is a powerful enterprise experimentation platform built for CRO teams. ShopShift is different — autonomous conversion optimization that runs itself for $99/mo flat.
ShopShift runs autonomous CRO on your store — start free.
ShopShift vs AB Tasty: AB Tasty is a powerful enterprise experimentation platform built for CRO teams. ShopShift is different — autonomous conversion optimization that runs itself for $99/mo flat.
TL;DR
- AB Tasty is an enterprise AI experimentation suite designed for teams with CRO strategists, developers, and agency support; ShopShift is an autonomous system that replaces the team entirely.
- AB Tasty requires experiment design, hypothesis writing, and ongoing analysis from a human expert; ShopShift handles all of that automatically.
- AB Tasty pricing is custom and enterprise-tier; ShopShift is $99 per month with no setup fees.
- Both platforms use AI, but AB Tasty uses AI to assist human decision-making; ShopShift uses AI to make and execute decisions end-to-end.
- If you want a co-pilot for your CRO team, AB Tasty is excellent; if you want no CRO team at all, that is where ShopShift fits.
What AB Tasty is
AB Tasty is a French-founded, globally distributed experimentation and personalisation platform that targets mid-market and enterprise ecommerce brands. Its product suite covers A/B testing, multivariate testing, feature flagging, AI-powered audience segmentation, and real-time personalisation — all managed through a visual editor and a structured experimentation workflow. The platform integrates with analytics stacks like GA4, Mixpanel, and Contentsquare, and it offers native support for server-side experimentation for teams that need to test beyond the browser layer.
AB Tasty's commercial model is custom-quoted and typically starts at several thousand dollars per month at the entry tier, scaling with traffic volume and product scope. The platform is deliberately positioned around a "success team" model — onboarding, experiment strategy, and ongoing optimisation guidance come from AB Tasty's customer success managers or from certified agency partners. That model works extremely well for brands that already have — or are willing to hire — CRO expertise in-house. It is less well suited to a small Shopify team that does not have a testing programme yet.
What ShopShift is
ShopShift is autonomous conversion optimization for Shopify stores. You install a single script tag, and the system takes over: it audits your store's conversion funnel, identifies the highest-impact pages to target, generates variants automatically, runs statistically valid experiments against your live traffic, and rotates the winning variant into production — all without a calendar invite, a hypothesis document, or a CRO consultant on retainer.
We built ShopShift for the solo founder and the small team who know their conversion rate is a problem but do not have the bandwidth or budget to run a proper experimentation programme. The $99 per month flat price includes unlimited experiments, Bayesian winner detection, and a live dashboard that shows you what the AI is testing and why. There is no custom onboarding, no minimum traffic requirement negotiation, and no six-month contract. You get the benefit of continuous experimentation without needing to understand how to run it.
Side-by-side comparison
| Dimension | AB Tasty | ShopShift |
|---|---|---|
| Pricing | Custom enterprise quote; typically $2,000–$10,000+/mo | $99/mo flat |
| Who designs experiments | CRO team, strategist, or AB Tasty success manager | AI — fully autonomous |
| Statistical method | Frequentist and Bayesian options | Bayesian winner detection |
| Setup | Visual editor + developer for server-side | Single script tag |
| Time to first test | Days to weeks (onboarding, kick-off, hypothesis review) | Under 24 hours |
| Reporting | Advanced analytics dashboard, integrations with GA4 / Mixpanel | Live AI dashboard showing active tests and reasoning |
| Feature flagging | Yes — full feature flag management | No |
| Personalisation | AI-powered audience segmentation and personalisation | Conversion-focused variant rotation |
| Platform | Web (any stack), server-side, mobile | Shopify |
| Best for | Enterprise or mid-market with a CRO team and complex stack | Shopify merchants who want zero-touch experimentation |
Where AB Tasty wins
- Enterprise feature depth. AB Tasty's feature flagging, server-side experimentation, and personalisation engine are genuinely mature — teams running complex product and marketing tests across multiple surfaces will find capabilities that ShopShift does not offer.
- Stack flexibility. AB Tasty works on any web stack, mobile, and server-side; ShopShift is Shopify-only.
- Strategic guidance. The success team model means you get experienced CRO practitioners helping shape your programme — that is real value if your organisation wants to build internal experimentation capability.
- Multivariate and feature experiments. AB Tasty supports full multivariate tests and feature-level experiments that go well beyond storefront copy and layout, which matters for product teams.
- Enterprise security and compliance. For brands with strict data governance requirements, AB Tasty's enterprise compliance posture — SSO, GDPR controls, SLA commitments — is built to satisfy procurement teams.
Where ShopShift wins
- Zero setup friction. One script tag and you are live — no onboarding call, no minimum commitment, no developer required.
- No CRO team needed. ShopShift does not assist a team; it replaces the need for one, which changes the economics entirely for a small Shopify store.
- Speed. Experiments start within 24 hours of install. AB Tasty's onboarding and kick-off cycle typically runs days to weeks before the first test launches.
- Transparent flat pricing. $99 per month with no traffic-based overage, no module add-ons, and no annual commitment required — you always know what you are paying.
- Continuous compounding. Because the AI never stops running tests, conversion improvements compound over weeks and months without any manual input — a human-run programme tends to stall between sprint cycles.
Who should pick AB Tasty
AB Tasty is the right choice for a mid-market or enterprise ecommerce brand that has — or is actively building — a CRO function. If your team includes a conversion strategist, a front-end developer who can implement experiments, and an analyst who reads test results, AB Tasty gives that team world-class tooling. It is also the right pick if you need server-side experiments, feature flags, or deep personalisation that touches your product layer, not just your storefront. Budget is a secondary consideration at that scale — if you are generating tens of millions in online revenue, the custom pricing is justifiable.
Who should pick ShopShift
ShopShift is the right fit for a Shopify merchant — solo founder, small team, or early-stage brand — who knows conversion rate is leaving money on the table but does not have the headcount or the CRO expertise to run experiments manually. If your honest answer to "who owns our testing programme?" is "nobody," ShopShift is built for exactly that situation. At $99 per month, it costs less than two hours of a freelance CRO consultant, and it runs continuously — not just during a project engagement.
Frequently asked questions
Can I use ShopShift and AB Tasty at the same time?
Technically yes, but we do not recommend it. Running two experimentation systems simultaneously on the same pages creates traffic splitting conflicts and makes it impossible to attribute results cleanly. If you are migrating from AB Tasty or evaluating both tools, pause one programme while the other runs. For most Shopify merchants, ShopShift covers the full scope of what they need — running a second platform in parallel adds cost and complexity without a clear benefit.
Does ShopShift work for stores outside Shopify?
Not currently. ShopShift is purpose-built for Shopify and uses Shopify's data layer to power its AI — product pages, cart events, checkout steps, and session data all feed the optimisation engine. AB Tasty is the better option if your store runs on Magento, BigCommerce, or a custom stack. We are focused on going deep on Shopify rather than broad across platforms.
How does ShopShift's Bayesian winner detection compare to AB Tasty's statistical methods?
AB Tasty offers both frequentist and Bayesian statistical approaches, giving your CRO team the flexibility to choose based on experiment design. ShopShift uses Bayesian winner detection exclusively — it updates continuously as traffic accumulates and declares a winner once the posterior probability crosses a confidence threshold, which means you do not need to pre-specify a sample size or wait for a fixed test duration. For autonomous operation, Bayesian methods are a better fit because they do not require a human to decide when to "call" a test.
What happens if the AI picks a losing variant?
ShopShift's Bayesian engine monitors both uplift and any negative signal in real time. If a variant is underperforming — defined as conversion probability falling materially below the control — the system rotates traffic back to the control automatically and logs the finding. No human needs to catch a bad test. AB Tasty relies on your team to monitor dashboards and manually stop underperforming experiments, which introduces response lag.
Is AB Tasty worth the cost for a growing Shopify brand?
It depends entirely on whether you have the team to use it. AB Tasty's pricing reflects the value it delivers to organisations that can fully use the platform — strategic guidance, feature flags, personalisation, and enterprise integrations. For a Shopify brand doing under $5 million in annual revenue without a dedicated CRO hire, that value is mostly theoretical because you will not have time to run a real experimentation programme. ShopShift's $99 flat price delivers compounding optimisation without requiring any programme management.
How long before ShopShift shows measurable results?
Most stores see their first experiment conclude within 7 to 14 days depending on traffic volume. Stores with higher traffic — 10,000 or more monthly visitors — often see statistically confident results in the first week. Conversion lift compounds as winning variants stack over successive experiment cycles. We typically see stores reach a 5–15% overall conversion rate improvement within the first 90 days, though results vary by category, average order value, and starting conversion rate.
Related reading
START TRIAL
Try ShopShift on your store.
The AI runs the same loop this post just described — discovery, hypothesis, variant design, winner selection — from a single script tag. No experiments to design.
30-day free trial · cancel any time
§ RELATED · COMPARISON