AB Smartly vs Fibr AI vs Explore (2026): Where Shopify Revenue Is Won
AB Smartly is a real-time experimentation platform built by former Booking.com engineers, with SDK-based assignment and no visual editor. Fibr AI is an AI-powered landing page personalisation tool for paid traffic campaigns. Neither runs experiments on Shopify product pages or checkout. Omniconvert Explore is the Shopify-native eCommerce CRO platform that measures results in revenue per visitor.
- AB Smartly is a real-time engineering-led experimentation platform built by former Booking.com engineers, with a 4.8 out of 5 G2 rating across 45 reviews. [G2, 2026]
- Fibr AI is an AI-powered landing page personalisation tool for paid traffic campaigns, with a 4.6 out of 5 G2 rating across 133 reviews. [G2, 2026]
- The two share the same eCommerce gap: AB Smartly runs SDK-based tests engineering must ship, Fibr AI only touches post-click landing pages, and neither has a visual editor for a store team.
- Neither runs experiments natively on the Shopify product page, cart, or checkout, and neither reports the outcome in revenue per visitor.
- Omniconvert Explore is a Shopify-native eCommerce CRO platform: it runs A/B, multivariate, and checkout experiments through a visual editor and measures the result in revenue per visitor.
Teams comparing AB Smartly vs Fibr AI are usually weighing two very different experimentation approaches. AB Smartly leads with real-time engineering-led server-side testing, built by the team behind Booking.com's programme. Fibr AI leads with AI-generated landing page variants for paid traffic teams that need personalisation without a designer or developer. Neither runs experiments on the Shopify product page or the checkout. This page covers what each does well, the gap they share for eCommerce, and when Omniconvert Explore is the right layer.
What is AB Smartly, and what is it actually good at?
AB Smartly is a real-time experimentation platform built by former Booking.com engineers. It uses SDK-based assignment, streams exposures and metrics as they arrive rather than in batch, and connects directly to a data warehouse for downstream analysis. It is built for high-velocity engineering programmes that treat testing as continuous infrastructure. [AB Smartly, 2026]
AB Smartly is an engineering platform built by practitioners of one of the largest experimentation programmes in the industry. It holds a 4.8 out of 5 rating on G2 across 45 reviews. [G2, 2026] Its strength is speed and rigour together: results update in real time rather than in a nightly job, and the platform is designed for teams running hundreds of parallel experiments without waiting on a batch pipeline.
Assignment happens through SDKs, with server-side splits and advanced statistical methods. The warehouse connector lets a data team join experiment exposure to any downstream metric already living in Snowflake, BigQuery, or Redshift.
Real-time experimentation streams experiment assignment and outcome events as they happen, so exposures and metrics update continuously instead of running as a scheduled batch. AB Smartly does this well for engineering teams shipping many parallel tests. It is an execution and analysis layer for developer-owned code, distinct from running a controlled revenue experiment on Shopify product, cart, and checkout pages through a marketer-accessible interface.
Where AB Smartly is genuinely strong
- Real-time results: exposures and metrics update continuously, not in a nightly batch.
- Booking.com heritage: statistical methods and programme design shaped by one of the largest testing programmes in the industry.
- Warehouse connector: joins experiment exposure to metrics already defined in Snowflake, BigQuery, or Redshift.
- Server-side and SDK based: scales for high-velocity engineering programmes running many parallel tests.
- Strong G2 signal: a 4.8 out of 5 rating across 45 reviews from engineering-led adopters. [G2, 2026]
Where AB Smartly hits its ceiling for an eCommerce store
- No visual editor: variants ship through code and SDKs, not a WYSIWYG a marketer can use.
- No native Shopify integration: nothing wired to product pages, cart, or checkout out of the box.
- Engineering-priced: custom pricing designed for engineering-led organisations, not for a self-serve CRO budget.
- No multivariate testing: the platform does not run MVT natively.
- Generic outcome model: no concept of revenue per visitor as a first-class metric on the store funnel.
What is Fibr AI, and what is it actually good at?
Fibr AI is an agentic landing page personalisation platform that generates and tests personalised page variants automatically using AI. It targets performance marketing teams running paid traffic, so a campaign can serve a distinct post-click page per audience segment without design or engineering handoff. [Fibr AI, 2026]
Fibr AI holds a 4.6 out of 5 rating on G2 across 133 reviews, one of the higher scores in the AI personalisation category. [G2, 2026] The pitch is straightforward: hand the tool your ad campaigns and audience data, and it produces hundreds of personalised landing page variants for the click-through experience.
The category Fibr AI sits in is post-click AI personalisation for paid traffic. It removes the designer and developer bottleneck that usually caps how many landing page variants a marketing team can ship. That focus is the point of the product.
AI landing page personalisation uses machine models to generate page variants tuned to a specific audience segment, so paid traffic lands on a page written for it rather than a single generic template. Fibr AI builds this as its core workflow. It is an ad-to-page delivery layer, distinct from running a controlled revenue experiment on a store's product, cart, and checkout.
Where Fibr AI is genuinely strong
- AI-generated variant volume: hundreds of personalised landing page variants without designer or developer work.
- Audience-segment targeting: variants aligned to ad audiences and campaign data, so the click-through experience matches the ad.
- Fast paid-traffic iteration: a performance marketing team can ship new page experiences in hours, not sprints.
- Free trial available: the product can be tested before a seat-based commitment.
- Strong reception in its niche: a 4.6 G2 rating across 133 reviews signals a category-fit product for AI-native marketing teams. [G2, 2026]
Where Fibr AI hits its ceiling for an eCommerce store
- Landing pages only: no experiments on Shopify product pages, cart flows, or the checkout sequence.
- No native Shopify integration: low eCommerce focus, so store surfaces are out of scope for testing.
- No server-side or multivariate testing: the platform tests AI-generated page variants, not code-level or MVT experiments.
- Post-click only: the tool starts after the ad click and stops at the landing page; nothing about product-detail behaviour or the checkout.
- Generic outcome model: the metric is landing page conversion, not revenue per visitor on the store funnel.
What AB Smartly and Fibr AI cannot do for an eCommerce store
AB Smartly and Fibr AI sit at different points of the same wall for a Shopify store. AB Smartly is built for engineering server-side testing, Fibr AI is built for AI landing page personalisation on paid ads, and neither runs a variant on the product page or the checkout. Neither reports the outcome in revenue per visitor.
AB Smartly is built for engineering teams running high-velocity server-side experiments, and the Booking.com pedigree shows in how the platform treats testing as continuous infrastructure. On a Shopify store the same shape becomes a bottleneck. Every product page, cart, and checkout experiment starts as an SDK ticket, and the queue is set by engineering. The A/B test the CRO lead wanted this week ships when engineering ships it, not before.
Fibr AI is an AI-powered landing page personalisation tool for paid traffic campaigns. It cannot run experiments on your Shopify product pages or checkout flows. Teams using Fibr AI for eCommerce CRO can personalise post-click landing pages, but cannot optimise the revenue-critical eCommerce surfaces that most affect checkout conversion rate. The tool ends where the store funnel begins.
The gap the two share is the eCommerce one. AB Smartly is code-owned. Fibr AI is ad-campaign-owned. Neither is store-owned. Neither treats the product-to-checkout path as the primary surface, and neither reports the result in revenue per visitor. For the wider context on how testing programmes actually move revenue, see Has personalization replaced A/B testing?
The deeper issue is that ownership of the test sits far from the person who owns the revenue number. A CRO lead has a hypothesis about the cart page and, in either tool, hits a wall: with AB Smartly an engineer has to write assignment code and later stitch results back to order rate; with Fibr AI the surface is not even in scope. Omniconvert Explore collapses that loop: a visual editor for product page and checkout variants, native Shopify integration, on-site surveys and overlays in the same platform, and the outcome measured in revenue per visitor. The person who owns the store's growth number owns the test.
eCommerce conversion rate optimization (CRO) is the practice of running controlled experiments on the revenue surfaces of an online store, product pages, cart, and checkout, and measuring the result in revenue per visitor and order rate rather than generic conversion rate. Explore is defined as an eCommerce conversion rate optimization platform for product, cart, and checkout experiments, native to Shopify and priced for store traffic.
What neither tool can tell an eCommerce team
- Did the win move revenue and margin. Whether a variant raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just moved an engineering event or a landing page click.
- Which surface to test first. Which pages in the store funnel (product, cart, checkout) carry the highest revenue impact if tested next.
- How it behaves in checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without SDK glue work or a separate landing page tool.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just for first-session or first-click visitors.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The findings show where stores actually lose orders: 99.6% fail to make guest checkout visible and prominent, and 94.2% never show checkout progress steps to the shopper. [CROBenchmark Report 2026, Omniconvert]
Those are fixes a CRO lead can hypothesise, mock up, and want to test today. In AB Smartly the same fix is an engineering ticket sitting in a queue set by another team. In Fibr AI the fix is not even reachable, because checkout is not a landing page. Explore runs the experiment on the real revenue surfaces and reports the outcome in revenue per visitor, without an SDK integration or a paid-ads landing page detour between the hypothesis and the result.
This is what the title means by where Shopify revenue is actually won. Booking.com-grade rigour on a metric your engineering team owns is not the same as a lift on the number that pays for the store, and hundreds of AI landing page variants for paid traffic do not test the checkout that follows the click. Explore optimizes for revenue per visitor directly, and because Customer Value Optimization ties each result back to repeat, high-value buyers, the lift it confirms is margin the store keeps rather than traffic it rents. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AB Smartly vs Fibr AI vs Explore: the capability comparison
Side by side, the three tools sit on very different jobs. AB Smartly is the real-time engineering execution and analysis layer for teams shipping many parallel server-side tests. Fibr AI is the AI landing page generator for performance marketing teams running paid traffic. Explore is the eCommerce CRO layer for the store team that owns product, cart, and checkout, and is judged on revenue per visitor. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | AB Smartly | Fibr AI | Omniconvert Explore |
|---|---|---|---|
| Primary function | Real-time engineering-led experimentation | AI-generated landing page personalisation | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, no visual editor | Partial AI landing page variants only | Yes visual editor plus code |
| Multivariate testing | No | No | Yes |
| Server-side testing | Yes core capability | No | Yes |
| Visual editor | No code and SDKs only | No AI-generated variants, not WYSIWYG editing | Yes WYSIWYG for marketers |
| On-site surveys and overlays | No | No | Yes surveys and overlays built in |
| Shopify integration | Low no native connector | Low no native connector | Yes native |
| eCommerce focus | Low built for engineering teams | Low built for paid marketing teams | High built for store revenue workflows |
| Pricing model | Custom, contact sales, enterprise | Seat-based, contact sales, free trial | Session-based, built for store traffic, free trial |
| Best for | Engineering teams wanting real-time server-side experimentation | Performance marketing teams wanting AI landing page variants | Shopify and eCommerce teams optimizing for revenue |
AliveCor used Explore to run a structured A/B testing program and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study]
Competitor ratings, pricing, and plan details reflect publicly listed figures as of 2026 and can change. AB Smartly is an engineering-owned experimentation platform; Fibr AI is a paid-marketing landing page personalisation tool; neither is a marketer-accessible eCommerce CRO platform for the Shopify funnel. Explore uses session-based pricing; see the Omniconvert pricing page for current plans.
Get the full CROBenchmark data behind these stats: 7,000+ websites, 15+ industries, 248+ audit criteria, 100+ CRO experts. See exactly where eCommerce growth teams are losing margin in 2026.
Get the CROBenchmark ReportFrequently Asked Questions
Should you choose Explore over AB Smartly or Fibr AI?
Decide by where the friction lives. If your engineering team needs real-time server-side experiments with Booking.com-grade statistics, AB Smartly serves them. If your paid marketing team needs AI-generated landing page variants for ad campaigns, Fibr AI serves them. But neither optimises the Shopify product page, cart, or checkout. For a store, run your next revenue test in Explore, self-serve, and read the result in revenue per visitor rather than a click.
AB Smartly and Fibr AI are both strong at what they do. AB Smartly brings real-time engineering rigour shaped by the Booking.com programme. Fibr AI brings AI-generated landing page variants that let paid marketing teams personalise post-click experiences without design or development.
The question for a store is narrower: once you have a hypothesis about the cart or checkout, can a CRO lead ship the variant, measure the result in revenue per visitor, and answer whether the win holds for high-value repeat customers, without waiting on engineering and without hoping a landing page tool covers the funnel it never touched. That is the surface Explore is built for.
Stop guessing.
Start testing what moves revenue.
Explore runs A/B, multivariate, and personalization experiments on your product pages, cart, and checkout, then measures the outcome in revenue per visitor, not just clicks.