Conductrics vs Convert.com vs Explore (2026): Two Tests, One Blind Spot
Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Convert.com is a privacy-first A/B testing tool built for CRO agencies and general websites. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor rather than generic conversion rate.
- Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, contextual bandits, and in-experiment surveys.
- Convert.com is a privacy-first A/B testing platform for CRO agencies and general websites, with a 4.7 out of 5 G2 rating across 139 reviews. [G2, 2026]
- Neither is built around the Shopify checkout: Conductrics is general-purpose with no dedicated Shopify app, and Convert.com is generic-web first with no native store integration.
- Convert.com lacks native Shopify integration and revenue-per-visitor measurement, and Conductrics lists no Shopify-specific integration, on the product-to-checkout path where store revenue is decided.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and measures results in revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Conductrics vs Convert.com are usually deciding between two very different testing setups: a general-purpose experimentation and optimisation platform that runs in the browser, on the server, at the edge, and in mobile apps, or privacy-first A/B testing for agencies. Neither is built around the surfaces where a Shopify store actually wins or loses revenue: the product page, the cart, and the checkout. 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 experimentation and adaptive optimisation platform. It supports A/B and multivariate testing, a visual editor, contextual multi-armed bandits, and surveys inside experiments, and runs client-side through a single script tag, server-side through a REST API, at the CDN edge, and in iOS, Android, and React Native apps. [Conductrics, 2026]
Conductrics was founded in 2008 and launched in 2010. It is a general-purpose optimisation platform used across industries, with connectors for GA4, Adobe Analytics, and Snowplow, and SOC 2 Type 2, GDPR, and HIPAA compliance.
The category Conductrics sits in is experimentation and adaptive optimisation. Its visual editor, Conductrics Express, lets non-technical teams test UI changes, while server-side, edge, and mobile options let engineering teams run tests beyond the page. Its predictive agents add contextual bandits with human-readable decision trees that show which visitor traits drove a choice.
Adaptive optimisation uses multi-armed bandits to shift traffic toward better-performing experiences while a test runs, rather than holding a fixed split until it ends. Conductrics does this with contextual bandits, which also take visitor traits into account, and offers a Listen mode that learns without changing the experience. It is a general-purpose capability, distinct from an experiment built around a Shopify store's product, cart, and checkout.
Where Conductrics is genuinely strong
- Visual editor plus server-side, edge, and mobile: Conductrics Express for quick UI changes, with a REST API, Conductrics Edge, and iOS, Android, and React Native SDKs for tests beyond the page.
- A/B and multivariate testing: multivariate tests composed from existing tests, with a Main Effects Report that shows which variable drives a lift, interaction effects included.
- Contextual bandits: predictive agents using Thompson Sampling, with human-readable decision trees that show which visitor traits drove a choice.
- Surveys inside experiments: questions from NPS to fully custom, matched to the variation each visitor saw.
- Statistical rigour: error-rate control, checks for test interference, corrections for multiple comparisons, and secondary goals used as guardrails.
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 other page test rather than from Shopify's catalog.
- General-purpose, not store-first: it is used across industries with no eCommerce-specific features listed, while Explore is built around product, cart, and checkout tests read in revenue per visitor.
- Prices through sales: prices are not published; quotes come from sales.
- Breadth a store team may not need: server-side, edge, and mobile testing and contextual bandits are capabilities a team testing one Shopify storefront may never use.
What is Convert.com, and what is it actually good at?
Convert.com is a privacy-first A/B testing platform for CRO agencies and mid-market teams. It supports multivariate testing and advanced targeting, integrates with Google Analytics and major analytics platforms, and is known for transparent session-based pricing and a no-data-sharing stance. [Convert, 2026]
Convert.com is one of the most highly rated tools in the category, with a 4.7 out of 5 rating on G2 across 139 reviews. [G2, 2026] It is a favorite among CRO agencies for transparent, session-based pricing and agency-friendly account features, and its customer support is consistently praised.
The category Convert.com sits in is practitioner-led web testing. It runs A/B and multivariate tests on general websites, with a strong privacy posture that appeals to teams handling sensitive traffic. That focus is the point of the product.
Privacy-first testing means the platform avoids sharing experiment data with third parties and minimises what it collects, which matters for teams under strict compliance requirements. Convert.com builds this into its product and pricing. It is a separate concern from whether a test runs natively on a store's checkout.
Where Convert.com is genuinely strong
- Transparent session-based pricing: predictable, agency-friendly costs from $299 per month with a free trial.
- Strong privacy stance: no data sharing with third parties, useful under strict compliance needs.
- Multivariate and advanced targeting: capable experimentation with granular audience rules.
- Highly rated support and integrations: well-regarded customer support, plus Google Analytics and major analytics connections.
Where Convert.com hits its ceiling for an eCommerce store
- No native Shopify integration: no eCommerce-specific experiment templates, so store setups are manual.
- Editor is functional, not polished: the visual editor trails VWO and Optimizely for ease of use.
- No built-in behavioral analysis: no native heatmaps or session recordings, so teams add third-party tools.
- Generic conversion focus: results are framed around conversion rate, not revenue per visitor.
What Conductrics and Convert.com leave open for an eCommerce store
Conductrics and Convert.com are built for different jobs, general-purpose optimisation across industries and privacy-first testing for CRO agencies, but they share the same gap for a store. Neither is built around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or around the metrics that matter there: revenue per visitor, order rate, and the margin a store actually keeps.
Conductrics is a general-purpose experimentation and optimisation platform used across industries. It has a visual editor and installs on a Shopify storefront through its script tag, as on any website, but it lists no Shopify app, no Shopify-specific integration, and no eCommerce-specific features, so a store sets up its tests like any other page test rather than from Shopify's catalog.
Convert.com is built for CRO practitioners running tests on general websites. With no native Shopify integration, checkout testing happens through manual implementation, and revenue per visitor is not a native experiment metric. The work of connecting a winning variant to checkout revenue still happens by hand.
The two gaps differ in nature but point to the same missing layer. Most experimentation tools optimise the execution of a test on a generic page. They are not built around where store revenue is actually decided, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers. For the wider debate behind this split, see Has personalization replaced A/B testing?
There is a second layer underneath the first: the data insights that tell a team what to test and whether it actually worked. Conductrics builds surveys into its experiments, matched to the variation each visitor saw, and Contentsquare, Hotjar, Segment, and Mixpanel read its experiments without custom integration. Convert.com runs clean experiments but has no built-in heatmaps or session recordings, so those come from separate tools. Omniconvert Explore builds that data insights layer in: heatmaps, session recordings, and surveys sit next to the experiment, and the same behavioral and customer data defines the segments you test against. The insight and the test live in one place, which is the difference between guessing at a hypothesis and reading it off the store's own data.
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 an eCommerce team needs every test to answer
- 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 micro-conversion.
- Which surface to test first. Which pages in the 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 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 steps, and 85.1% do not show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact surfaces a general web tester is not built to experiment on, and that a general-purpose platform like Conductrics is not built specifically around. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor.
This is what the title means by one blind spot. A higher click rate or a lifted micro-conversion can leave the bank balance flat; what moves it is order rate and average order value along the product-to-checkout path, read as revenue per visitor. Explore optimizes for that number 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. A variant that wins on revenue per visitor and holds for high-CLV customers protects profit; a variant that only lifts a top-of-funnel click often does not. Convert.com is not built to answer that revenue question, Conductrics is a general-purpose platform with no eCommerce-specific features listed, and Explore is built around it. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Conductrics vs Convert.com vs Explore: the capability comparison
Side by side, the three tools serve different layers. Conductrics runs A/B, multivariate, and adaptive tests in the browser, on the server, at the edge, and in mobile apps. Convert.com runs clean, privacy-first tests on general websites. 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 | Convert.com | Omniconvert Explore |
|---|---|---|---|
| Primary function | General-purpose experimentation and adaptive optimisation | Privacy-first general-website A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor, server-side, edge, and mobile | Yes visual and code editor | Yes visual plus code editor |
| Multivariate testing | Yes with a Main Effects Report | Yes | Yes |
| Server-side testing | Yes | Yes | Yes |
| Visual editor | Yes Conductrics Express | Yes functional | Yes |
| On-site surveys and overlays | Yes on-site surveys inside experiments (Conductrics Surveys) | No needs third-party tools | Yes surveys and overlays built in |
| Built-in data insights | Partial surveys built in; Contentsquare and Hotjar read its experiments | No heatmaps and recordings via third parties | Yes heatmaps, recordings, and surveys built in |
| Shopify integration | Partial no dedicated Shopify app; installs through its script tag | Medium not native, manual setup | Yes native |
| eCommerce focus | Low general-purpose, not eCommerce-specific | Medium agency and mid-market web | High built for store revenue workflows |
| Revenue per visitor measurement | No eCommerce-specific reporting listed | No generic conversion metrics | Yes revenue per visitor and order rate native |
| Pricing model | Prices not published; quotes from sales | Session-based, from $299/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Teams testing across web, server, edge, and mobile, with contextual bandits | CRO agencies wanting privacy-first testing | Shopify and eCommerce teams optimizing for revenue |
| User rating | No public G2 rating | 4.7 out of 5 (G2, 139 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 Convert.com?
Start with the layer where your revenue is decided. If you want experimentation across web, server, edge, and mobile apps, with contextual bandits, keep Conductrics. If you need clean, privacy-first testing on general pages, keep Convert.com. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. Both competitors are capable web testers; only Explore ships with a Shopify-native checkout experiment surface.
Conductrics and Convert.com are both capable inside their categories. Conductrics pairs a visual editor and multivariate testing with server-side, edge, and mobile options and contextual bandit optimisation. Convert.com is transparent, privacy-first, and agency-friendly with a 4.7 out of 5 G2 rating across 139 reviews.
The question for a store is narrower: can your team run a controlled experiment on the Shopify product, cart, and checkout, and read the result in revenue per visitor rather than a click. 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