Conductrics vs Dynamic Yield vs Explore (2026): The Mid-Market Shopify Fit
Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Dynamic Yield is enterprise personalization for retail brands with dedicated implementation teams. Omniconvert Explore is an eCommerce CRO platform for mid-market Shopify stores that need self-serve testing on product, cart, and checkout, measured in revenue per visitor.
- Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits.
- Dynamic Yield is an enterprise personalization suite owned by Mastercard with a 4.5 out of 5 G2 rating across 200 reviews. [G2, 2026]
- Dynamic Yield is not built around Shopify revenue surfaces (product, cart, checkout) for marketer-led self-serve testing, and Conductrics is general-purpose, with no dedicated Shopify app.
- Explore runs A/B, multivariate, personalization, and on-site surveys natively on Shopify, priced per session, measured in revenue per visitor.
- Choose Explore when a mid-market Shopify team needs self-serve CRO on revenue-critical surfaces without a six-figure contract.
Conductrics vs Dynamic Yield is a comparison between two tools that solve very different problems. Conductrics is a general-purpose experimentation and optimization platform, with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Dynamic Yield is an enterprise personalization suite for retail organizations running experimentation at scale, now owned by Mastercard. This page compares both to Omniconvert Explore, the eCommerce CRO platform built around Shopify revenue surfaces and revenue per visitor as the outcome metric.
What is Conductrics, and what is it actually good at?
Conductrics is an experimentation and adaptive optimization platform that runs A/B and multivariate tests client-side through a single script tag, with a visual editor called Conductrics Express, and server-side through a REST API and SDKs. Alongside classical tests, it runs contextual multi-armed bandits that can adapt which experience each visitor gets.
Conductrics covers both the marketer's and the engineer's way of testing. Conductrics Express makes WYSIWYG on-page changes, multi-page changes, and redirect tests with QA previews, and Conductrics describes it as built for non-technical teams who need to test UI changes. Engineers can run experiments server-side through a REST API and libraries for Node.js, Java, and Swift.
The technical strengths are real. Contextual bandits and rule-based targeting are built in, multivariate tests are read through a Main Effects Report, and the platform runs on the web, at the CDN edge, in iOS, Android, and React Native apps, and in back-end services. For an organization testing across many surfaces, that breadth is the point.
Conductrics does not publish its prices; quotes come from sales. It is SOC 2 Type 2, GDPR, and HIPAA compliant, with SSO, roles and permissions, and MFA.
Adaptive optimization lets an algorithm shift which experience each visitor sees as evidence builds, instead of holding a fixed split until a test ends. Conductrics does this with contextual multi-armed bandits that run in a Listen mode, which learns without changing the experience, or an Adaptive mode, with decision trees that show which visitor traits drove each choice. It is an allocation method, distinct from a controlled test program on product, cart, and checkout measured in revenue per visitor.
Where Conductrics fits
- Visual editor and code: Conductrics Express for UI changes, plus a REST API and SDKs for server-side experiments.
- A/B and multivariate testing: multivariate tests composed from existing tests, with a Main Effects Report that shows which variable drives a lift.
- Adaptive optimization: contextual bandits with a Listen mode and an Adaptive mode, and human-readable decision trees.
- Web, edge, and mobile: Conductrics Edge at the CDN and SDKs for iOS, Android, and React Native.
- Surveys and guardrails: in-experiment surveys matched to each variation, and statistics with error-rate control and multiple-comparison corrections.
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-specific: built for any industry, with no eCommerce-specific features listed; product, cart, and checkout testing read in revenue per visitor is Explore's focus.
- Prices through sales: prices are not published; quotes come from sales.
- Breadth a store-only team may not need: edge, mobile, and back-end testing and adaptive bandits reach well past what a team testing only its Shopify storefront may use.
What is Dynamic Yield, and what is it actually good at?
Dynamic Yield is an enterprise personalization and A/B testing platform owned by Mastercard. It runs product recommendations, experience optimization, and testing across web, mobile, and email for large retail organizations with dedicated personalization teams and implementation resources.
Dynamic Yield is one of the most advanced eCommerce personalization stacks on the market. It combines a recommendation engine, an experience optimization layer, and A/B testing under a single account. Major enterprise retailers use it, including IKEA and McDonald's, and the Mastercard acquisition has added data and enterprise-sales resources on top.
The trade-off is scale and cost. Custom pricing typically starts in the five-figure annual range, and setup is a proper implementation project, not a self-serve install. It is a serious tool that pays back only when the buyer has a dedicated personalization function on the inside.
Dynamic Yield holds a 4.5 out of 5 rating on G2 across 200 reviews. [G2, 2026] It sits as an established category leader in enterprise personalization.
Enterprise personalization is the practice of connecting customer data, product catalog signals, and behavioral triggers to individualize experiences across web, app, and email at scale. It is a large operational stack that pays back only with a dedicated in-house team. That is distinct from a focused revenue experiment on a Shopify product page or checkout that a store's marketing lead can ship this week.
Where Dynamic Yield fits
- Advanced personalization stack: recommendation engines, experience optimization, and A/B testing under one roof.
- Cross-channel coverage: web, mobile, and email in a single platform.
- Enterprise data and support: Mastercard acquisition brings additional data resources and enterprise sales.
- Proven at retailer scale: used by major enterprise retailers including IKEA and McDonald's.
Where Dynamic Yield hits its ceiling for a mid-market store
- Enterprise pricing: custom contracts, typically five figures annually, inaccessible for most mid-market Shopify brands.
- Implementation complexity: high setup effort that assumes a dedicated project and developer time.
- Over-specified for simple A/B testing: the full personalization stack is more platform than most stores need.
- Not built for self-serve marketer workflows: the sweet spot is a dedicated internal team, not a store's marketing lead running experiments this week.
What Conductrics and Dynamic Yield leave open for an eCommerce store
Conductrics and Dynamic Yield sit at different points of the experimentation market: one is a general-purpose platform used across industries, the other is enterprise-scale personalization for retail. Dynamic Yield is not designed for a mid-market Shopify team that needs to run self-serve tests on product, cart, and checkout, measured in revenue per visitor, and Conductrics lists no dedicated Shopify app and no eCommerce-specific features.
Conductrics is a general-purpose experimentation platform, with a visual editor for UI changes and SDKs for server-side, edge, and mobile tests. On a Shopify storefront it installs through its script tag, as on any website; no dedicated Shopify app or Shopify-specific integration is listed. It is built for experimentation in any industry rather than for eCommerce CRO in particular.
Dynamic Yield is an enterprise platform built for large retail organizations with dedicated personalization teams. It is not designed for mid-market Shopify brands running self-serve CRO experiments. Implementation complexity and enterprise pricing put it out of reach for stores that need to test product and checkout without a developer project.
Most experimentation tools optimize the execution of a test, not the economics of it. They are not built around the surfaces where eCommerce revenue is actually won or lost: product pages, cart, and checkout. They also are not built around the metric that matters to a store, revenue per visitor rather than a click.
That is the layer eCommerce CRO is built for.
eCommerce CRO is defined as the practice of running controlled experiments on the revenue surfaces of an online store, product pages, cart, and checkout, measured in revenue per visitor and order rate rather than a 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 store needs a test to tell it
- Whether a winning variant actually moved revenue per visitor. That is the store's real outcome metric. Dynamic Yield does not measure it by default, surfacing conversion rate or micro-conversions rather than revenue per visitor and order rate as first-class results; Conductrics, a general-purpose platform, lists no eCommerce-specific reports.
- Which page in the funnel has the highest revenue impact if tested first. Dynamic Yield does not rank product, cart, and checkout by expected revenue lift for the store's specific traffic and catalog, and no such eCommerce-specific feature is listed for Conductrics.
- How the experiment interacts with the Shopify catalog and checkout. Native Shopify integration, variant handling, and checkout-flow instrumentation are not the design center of an enterprise-scale tool, and Conductrics lists no Shopify-specific integration: it installs on a store through its script tag.
- Whether the result holds for high-value, repeat customers. The Customer Value Optimization question, whether the winning variant improves outcomes for repeat buyers, is outside Dynamic Yield's default reporting.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The data shows that 99.6% of stores fail to make guest checkout prominent and 94.2% never show checkout progress. [CROBenchmark Report 2026, Omniconvert] Those are the specific store-level tests an enterprise personalization suite is not set up to prioritize, and that a general-purpose platform like Conductrics is not built around.
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]
Conductrics vs Dynamic Yield vs Explore: the capability comparison
A side-by-side view. Read the Explore column against each competitor: where the same job is done, and where Explore does the job the other tool was not built to do for a Shopify store.
| Capability | Conductrics | Dynamic Yield | Omniconvert Explore |
|---|---|---|---|
| Primary function | General-purpose A/B, multivariate, and adaptive experimentation | Enterprise personalization and A/B testing at retail scale | eCommerce CRO for Shopify: product, cart, checkout |
| A/B testing | Yes, visual editor plus server-side and mobile SDKs | Yes, visual editor plus personalization engine | Yes, self-serve visual editor |
| Multivariate testing | Yes, with a Main Effects Report | Yes | Yes |
| Server-side testing | Yes, REST API, SDKs, and CDN edge | Yes | Yes |
| Visual editor | Yes, Conductrics Express | Yes | Yes |
| On-site surveys and overlays | Yes on-site surveys inside experiments (Conductrics Surveys) | Partial, personalization overlays, not surveys | Yes, both surveys and overlays |
| Shopify integration | Partial no dedicated Shopify app; installs through its script tag | High, at enterprise implementation cost | Native |
| eCommerce focus | Low, general-purpose, not eCommerce-specific | High, enterprise retail focus | High, purpose-built for stores |
| Pricing model | Prices not published, quote from sales | Custom enterprise, typically five-figure annual | Session-based, built for store traffic |
| Best for | Organizations testing across web, server, edge, and mobile, with adaptive bandits | Enterprise retail with a dedicated personalization team | Mid-market Shopify brands running marketer-led CRO on product, cart, and checkout |
| User rating | No public G2 rating | 4.5 out of 5 (G2, 200 reviews, as of 2026) | 4.6 out of 5 (G2, 197 reviews, as of 2026) |
Competitor ratings, pricing, and plan details reflect publicly listed figures as of 2026 and can change. Conductrics has no public entry price; Dynamic Yield uses custom enterprise contracts. 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 Dynamic Yield?
For a mid-market Shopify store running self-serve CRO on product, cart, and checkout, Explore is the direct fit. Conductrics is the choice for a team that wants A/B, multivariate, and adaptive bandit testing across web, server, edge, and mobile. Dynamic Yield is the choice for a large enterprise retailer running a full personalization program with a dedicated team. Decide by scale and by who owns the tests inside the business.
The three products serve different profiles. Conductrics is a general-purpose experimentation platform, with a visual editor for UI changes and SDKs for server-side, edge, and mobile tests. Dynamic Yield is a personalization suite that needs a dedicated team to earn its return.
Explore is the eCommerce CRO platform where a store's marketing lead builds and ships a revenue experiment without a developer queue. If you run a mid-market Shopify brand and ship product, cart, or checkout variants this month, Explore is built for that. Conductrics fits an organization testing across many surfaces; Dynamic Yield fits an enterprise retail organization with a dedicated personalization function.
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