Conductrics vs Fibr AI vs Explore (2026): Testing vs AI Variants
Conductrics is an experimentation and optimisation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Fibr AI generates AI landing page variants for performance marketers running paid traffic. Omniconvert Explore is the Shopify-native eCommerce CRO platform, running experiments on product pages, cart, and checkout, and measuring the outcome in revenue per visitor.
- Conductrics is an experimentation and optimisation platform with A/B and multivariate testing, a visual editor (Conductrics Express), server-side and mobile SDKs, contextual bandits, and in-experiment surveys.
- Fibr AI is an AI landing page personalisation tool for paid traffic campaigns, with a 4.6 out of 5 G2 rating across 133 reviews. [G2, 2026]
- Conductrics and Fibr AI serve very different jobs, general-purpose experimentation and AI landing page generation, and are not direct substitutes.
- Fibr AI neither reaches the Shopify product page, cart, or checkout nor reports results in revenue per visitor; Conductrics lists no dedicated Shopify app or eCommerce-specific features.
- Omniconvert Explore runs experiments natively on product, cart, and checkout and measures revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Conductrics vs Fibr AI are usually choosing between two very different specialists. Conductrics offers A/B, multivariate, and adaptive experimentation, from a visual editor to server-side and mobile; Fibr AI generates AI landing page variants for paid traffic. Neither is built around the Shopify product page, cart, or checkout, the surfaces where store revenue is decided. This page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is Conductrics, and what is it actually good at?
Conductrics is an A/B testing and adaptive optimisation platform with multivariate testing, a visual editor (Conductrics Express), server-side and mobile SDKs, contextual bandits, and rule-based targeting. Teams across industries use it on web pages, on servers, at the CDN edge, and in apps. [Conductrics, 2026]
Conductrics was founded in 2008 and launched in 2010, and it covers both ends of experimentation: a visual editor meant for non-technical teams testing UI changes, and a REST API with libraries for Node.js, Java, and Swift for tests that live in code.
Its category is general-purpose experimentation and optimisation. The product handles the hard parts of adaptive testing: contextual bandits with a Listen mode that learns without changing the experience and an Adaptive mode that acts on it, decision trees that show why each choice was made, and statistics with error-rate control and corrections for multiple comparisons.
Multivariate testing changes several elements of a page in one experiment, such as the headline, the hero, and the offer, and measures which element drives a lift and how the elements interact. Conductrics composes multivariate tests from existing tests and reports them in an MVT report and a Main Effects Report. It is a way of designing a test, distinct from choosing which store surface to test and the metric to read it in.
Where Conductrics is genuinely strong
- Visual editor plus server-side, edge, and mobile: Conductrics Express handles on-page changes, custom JavaScript, multi-page changes, and split-URL tests, while a REST API, Conductrics Edge, and iOS, Android, and React Native SDKs cover servers, the CDN, and apps.
- A/B and multivariate testing with statistical rigour: a Main Effects Report shows which variable drives a lift, interaction effects included, backed by error-rate control and corrections for multiple comparisons.
- Contextual bandits you can read: predictive agents built on Thompson Sampling learn in a Listen mode or adapt in an Adaptive mode, and decision trees show which visitor traits drove each choice.
- Surveys inside experiments: Conductrics Surveys ask anything from NPS to custom questions, matched to the variation each visitor saw.
Where Conductrics hits its ceiling for an eCommerce store
- No dedicated Shopify app: no Shopify-specific integration is listed; it installs on a store through its script tag, so store tests are set up like any page test rather than from Shopify's catalog.
- General-purpose, not eCommerce-specific: it serves many industries and lists no eCommerce-specific features, while Explore is built around product, cart, and checkout and reports in revenue per visitor.
- Prices through sales: prices are not published, so a store has to ask for a quote before it can compare costs.
- Breadth a store may not need: much of its range, from server-side, edge, and mobile testing to contextual bandits, goes beyond what a team running only storefront tests may use.
What is Fibr AI, and what is it actually good at?
Fibr AI is an agentic landing page personalisation platform. It uses AI to generate personalised page variants from an audience segment or an ad campaign, and tests them against each other without designer or developer involvement. It is built for performance marketing teams running paid traffic at scale. [Fibr AI, 2026]
Fibr AI carries a 4.6 out of 5 rating on G2 across 133 reviews, a strong signal for a young tool. [G2, 2026] Its reviewers are usually paid-media and growth teams who were previously stuck in a design queue to produce landing variants for every audience, offer, and geography.
The category Fibr AI sits in is AI landing page personalisation. The product generates the page, matches it to the ad audience, and runs the variant test. That focus is the point of the tool, and it is a real pain-killer for teams spending on paid traffic.
AI landing page personalisation uses generative models to produce many variants of a post-click landing page, each matched to a specific audience, offer, or campaign. It is a creative and delivery layer for paid traffic. It is distinct from running a controlled revenue experiment on product, cart, and checkout, where the store's actual order is placed.
Where Fibr AI is genuinely strong
- AI-generated variants at scale: hundreds of personalised landing pages produced without design or development hours.
- Audience and campaign matching: variants align to ad audiences and campaign data, so paid traffic lands on a tailored page.
- No designer bottleneck: marketers ship variants directly, removing the queue that usually caps paid-traffic iteration.
- Free trial and marketer-friendly UX: the setup is accessible to a performance team, not an engineering team.
Where Fibr AI hits its ceiling for an eCommerce store
- Landing pages only: no experiments on Shopify product pages, cart, or checkout where orders are placed.
- Low Shopify integration: not a native app for the storefront or the checkout funnel.
- No multivariate or server-side testing: variants are AI-generated landing pages, not an experiment framework.
- Ad-creative KPIs, not revenue: results track landing-page conversion, not revenue per visitor on the full funnel.
What Conductrics and Fibr AI leave open for an eCommerce store
Conductrics and Fibr AI are built for very different jobs, general-purpose experimentation and AI landing page generation, but they share one gap for a store. Neither is built around the Shopify product page, cart, or checkout, the surfaces where eCommerce revenue is actually decided: Fibr AI does not reach them or report results in revenue per visitor, and Conductrics, which installs on a store through its script tag, lists no Shopify-specific integration or eCommerce-specific features.
Conductrics is a general-purpose optimisation platform used across industries. It has a visual editor and installs on any website, a Shopify storefront included, through its script tag. What it does not list is a dedicated Shopify app or any Shopify-specific integration, so store tests are set up like any page test rather than from Shopify's catalog.
Fibr AI is an AI-powered landing page personalisation tool for paid traffic campaigns. It cannot run experiments on Shopify product pages or checkout flows. Teams using it for eCommerce can personalise post-click landing pages but cannot optimise the revenue-critical surfaces that most affect checkout conversion rate, where the order is actually placed.
The two gaps differ in nature but point to the same missing layer. Fibr AI optimises the execution of one specific stage, AI-generated landing variants, and Conductrics optimises how tests run on any site. Neither is built around where store revenue is decided, or around the Customer Value Optimization question: whether a result holds for repeat, high-value buyers. For the wider framing of why testing has to live on the revenue surfaces, see Has personalization replaced A/B testing?
There is a second gap underneath the first: the data insights layer that tells a team what to test and whether the result moved money. Conductrics brings surveys into its experiments, matched to the variation each visitor saw, and works with behaviour tools such as Contentsquare and Hotjar, which read its experiments without a custom integration. Fibr AI tracks landing-page conversion, not the funnel beyond the click. Omniconvert Explore builds that data insights layer in: heatmaps, session recordings, and surveys sit next to the experiment, and the same behavioural data defines the segments you test against. The insight and the test live in one place.
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. Omniconvert 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 Fibr AI cannot tell an eCommerce team
- Did the win move revenue and margin. Whether a winning variant raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just lifted a click or a landing-page sign-up.
- Which surface to test next. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested first.
- How it behaves in checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session visitors.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The data shows where stores actually lose orders: 94.2% never show checkout progress, 99.6% fail to make guest checkout visible and prominent, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems. An AI landing-page generator is not built to experiment on those surfaces, and a general-purpose testing platform with no Shopify-specific integration tests them like any other page. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor, which is the number that actually changes the bank balance when a variant wins. Because Customer Value Optimization ties each result back to repeat, high-value buyers, the lift Explore 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.
Conductrics vs Fibr AI vs Explore: the capability comparison
Side by side, the three tools sit in different layers. Conductrics runs A/B, multivariate, and bandit tests on the web, server-side, at the edge, and in apps. Fibr AI generates AI landing page variants for paid traffic. Explore adds native Shopify experiments, built-in surveys and overlays, and revenue-per-visitor measurement on the product-to-checkout path. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Conductrics | Fibr AI | Omniconvert Explore |
|---|---|---|---|
| Primary function | A/B and multivariate testing with adaptive optimisation | AI landing page personalisation for paid traffic | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor, server-side, and mobile | Yes AI-generated landing page variants only | Yes visual plus code editor |
| Multivariate testing | Yes with Main Effects reporting | No | Yes |
| Server-side testing | Yes REST API and SDKs | No | Yes |
| Visual editor | Yes Conductrics Express | No AI generates the page | Yes marketer-accessible editor |
| On-site surveys and overlays | Yes on-site surveys inside experiments (Conductrics Surveys) | No landing pages only | Yes surveys and overlays built in |
| Shopify integration | Partial no dedicated Shopify app; installs through its script tag | Low post-click landing only | Yes native |
| eCommerce focus | Low general-purpose, not eCommerce-specific | Low paid-traffic landing pages | High built for store revenue workflows |
| Revenue per visitor measurement | Not listed as a built-in metric; general-purpose goals | No landing-page conversion only | Yes revenue per visitor and order rate native |
| Pricing model | Prices not published, quote from sales | Seat-based, quote on request, free trial | Session-based, built for store traffic, free trial |
| Best for | Teams testing across web, server-side, edge, and mobile | Performance marketing teams generating AI landing variants | Shopify and eCommerce teams optimizing for revenue |
| User rating | No public G2 rating | 4.6 out of 5 (G2, 133 reviews, as of 2026) | 4.6 out of 5 (G2, 197 reviews, as of 2026) |
AliveCor used Omniconvert 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. 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 Conductrics or Fibr AI?
Decide by where revenue is actually decided. If you want contextual bandits, or experiments inside your own application as well as on web pages, Conductrics earns its place. If paid traffic needs AI-generated landing variants at scale, Fibr AI does that job. For a Shopify store testing the product-to-checkout path and reading results in revenue per visitor, run that work in Explore. The three sit in different layers and are usually complementary rather than competing.
Conductrics and Fibr AI are both capable within their categories. Conductrics is the choice for A/B, multivariate, and bandit-driven experimentation, from a visual editor through to server-side and mobile. Fibr AI is the choice for AI-generated landing pages for performance marketing teams.
The question for a Shopify store is narrower: can your team run a controlled experiment on the product page, cart, and checkout, and read the result in revenue per visitor rather than a click or a landing-page sign-up. 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.
4.6 out of 5 across 197 reviews, G2 , as of 2026