Conductrics vs Convert.com vs Explore (2026): Two Tests, One Blind Spot
Conductrics is an API-first experimentation platform for engineering teams that embed testing in their own applications. 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 an API-first experimentation platform for engineering and data science teams, with a 4.3 out of 5 G2 rating across 12 reviews. [G2, 2026]
- 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 developer-only, and Convert.com is generic-web first with no native store integration.
- Both lack native Shopify integration and revenue-per-visitor measurement on the product-to-checkout path, the surfaces 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: API-first experimentation for engineers, 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 API-first experimentation and adaptive optimisation platform for engineering and data science teams. It supports multi-armed bandit optimisation, adaptive targeting, and programmatic integration, and is used by teams that embed testing in their own applications rather than a standalone marketing tool. [Conductrics, 2026]
Conductrics carries a 4.3 out of 5 rating on G2 across 12 reviews. [G2, 2026] Its user base is skewed toward technical teams that want programmatic control and machine-learning-driven traffic allocation. It is often chosen when experimentation must live inside a custom stack rather than a marketing tool.
The category Conductrics sits in is API-first experimentation. It is not a marketing SaaS with a canvas and a visual editor; it is a developer surface for running controlled tests and adaptive optimisation. That focus is the point of the product.
API-first experimentation means the platform exposes its variant-assignment and event-logging endpoints as its primary interface, so tests are wired into an application's own code paths rather than an out-of-the-box editor. Conductrics is built this way. It is a delivery mechanism, distinct from running a marketer-owned experiment on a Shopify storefront.
Where Conductrics is genuinely strong
- Multi-armed bandit and adaptive optimisation: traffic is reallocated to winning variants automatically as data comes in.
- API-first programmatic control: fits directly into custom applications, mobile apps, and internal services.
- Server-side testing: runs below the client layer, useful where latency, SEO, or bot traffic matter.
- Data-science-friendly workflows: designed for teams that want machine-learning-driven allocation, not a UI-first workflow.
Where Conductrics hits its ceiling for an eCommerce store
- No visual editor: every experiment change requires developer implementation, so marketing cannot ship a test alone.
- No native Shopify integration: no store-level templates, no checkout hooks, no eCommerce experiment library.
- Very low market recognition: 12 G2 reviews and limited public documentation, so hiring for the tool is hard.
- Not built for marketing-led CRO: no self-serve setup for a growth team without engineers on call.
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 cannot do for an eCommerce store
Conductrics and Convert.com are built for different users, engineering teams and 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 an API-first experimentation tool designed for technical teams embedding optimisation into their own applications. It has no visual editor and cannot run experiments on Shopify storefronts through a marketer-accessible interface. A store adopting it takes on developer time for every hypothesis, and revenue per visitor is not a native experiment metric.
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 either. 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 gap underneath the first: the data insights layer that tells a team what to test and whether it actually worked. Conductrics is a pure delivery API and ships no behavioral analysis at all, so heatmaps, session recordings, and on-site surveys come from third-party tools that developers must integrate. Convert.com runs clean experiments but also has no built-in heatmaps or session recordings, so those come from separate tools as well. 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 neither tool can 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 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 developer API or a general web tester is not built to experiment on. 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. That is the revenue question Conductrics and Convert.com are not built to answer, and the one Explore is. 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 experiments through a developer API for engineering teams. 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 | API-first experimentation for engineering | Privacy-first general-website A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes API only, no visual editor | Yes visual and code editor | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes | Yes | Yes |
| Visual editor | No developer-only | Yes functional | Yes |
| On-site surveys and overlays | No needs third-party tools | No needs third-party tools | Yes surveys and overlays built in |
| Built-in data insights | No pure delivery API | No heatmaps and recordings via third parties | Yes heatmaps, recordings, and surveys built in |
| Shopify integration | Low no native support | Medium not native, manual setup | Yes native |
| eCommerce focus | Low engineering-first | Medium agency and mid-market web | High built for store revenue workflows |
| Revenue per visitor measurement | No custom event data only | No generic conversion metrics | Yes revenue per visitor and order rate native |
| Pricing model | Custom, contact sales, no free trial | Session-based, from $299/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Data science and engineering teams wanting API-first experimentation | CRO agencies wanting privacy-first testing | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.3 out of 5 (G2, 12 reviews, as of 2026) | 4.7 out of 5 (G2, 139 reviews, as of 2026) | 4.6 out of 5 (G2, 191 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 programmatic experimentation embedded in your own application, 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 is a developer-loved API with multi-armed 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 191 reviews, G2 , as of 2026