Amplitude Experiment vs Conductrics vs Explore (2026): Testing for Shopify Revenue
Amplitude Experiment is an experimentation layer on top of Amplitude Analytics, built for product teams already on that stack. Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs product, cart, and checkout experiments natively on Shopify, measured in revenue per visitor.
- Amplitude Experiment is an experimentation layer on top of Amplitude Analytics, with a 4.5 out of 5 G2 rating across 2,200 reviews. [G2, 2026]
- Conductrics is a general-purpose experimentation platform with A/B and multivariate testing, a visual editor, server-side and mobile SDKs, and contextual bandits.
- Amplitude Experiment requires developer implementation, offers no visual editor, and is not built for Shopify storefronts or checkout testing; Conductrics has a visual editor but lists no Shopify app or Shopify-specific integration.
- Amplitude Experiment does not measure results in revenue per visitor or reach the product-to-checkout path through a marketer-accessible interface; Conductrics is general-purpose, with no eCommerce-specific features listed.
- Omniconvert Explore is the Shopify-native eCommerce CRO platform that fills that gap, measured in revenue per visitor and order rate: pick it when a marketing team owns store revenue.
Teams comparing Amplitude Experiment vs Conductrics are choosing between two different testing tools: one layered on Amplitude's product analytics, one a general-purpose experimentation and optimisation platform. Amplitude Experiment leans on cohorts and SDK-driven experiments for product teams. Conductrics pairs a visual editor with server-side, edge and mobile testing, multivariate tests, and contextual bandits for adaptive optimisation. Amplitude Experiment stops short of the surface where an online store earns revenue, and Conductrics is general-purpose rather than built around it: the product page, the cart, the checkout, which is where Omniconvert Explore is built to run.
What is Amplitude Experiment, and what is it actually good at?
Amplitude Experiment is an experimentation layer built on top of Amplitude Analytics. It runs SDK-based A/B testing and server-side experiments, and uses Amplitude cohorts for targeting. It suits product teams already invested in the Amplitude stack. [Amplitude, 2026]
Amplitude Experiment is Amplitude's experimentation product, tightly bound to Amplitude Analytics. It holds a 4.5 out of 5 rating on G2 across 2,200 reviews. [G2, 2026] Its strength is that experiment results are analysed in the same environment as every other product event.
For a product team already on Amplitude, this removes glue work: no separate warehouse for results, and cohorts flow from analytics into targeting. Success metrics live where the team already reads them. That is a real advantage for a SaaS product team, but a specific one.
Product-analytics experimentation runs A/B tests through the analytics platform's SDK, using its event data and cohorts as the targeting and success layer. Amplitude Experiment does this well for teams already on Amplitude. It is a product-analytics delivery layer, distinct from running a controlled revenue experiment on the product, cart, and checkout pages of a Shopify store.
Where Amplitude Experiment is genuinely strong
- Native Amplitude integration: experiment results sit alongside every other product event in one platform.
- Cohort-based targeting: reuse Amplitude cohorts as audience segments without rebuilding them.
- Server-side experimentation: SDKs for backend variants at feature-flag scale.
- Free tier available: teams already on Amplitude Analytics can start on it at no incremental cost.
Where Amplitude Experiment hits its ceiling for an eCommerce store
- Amplitude Analytics prerequisite: the tool has no value without an existing Amplitude Analytics account.
- No visual editor: every experiment needs developer implementation, blocking marketer-led testing.
- No native Shopify integration: it is not built to test the storefront, cart, or checkout.
- No revenue focus: no concept of revenue per visitor as a tested outcome.
What is Conductrics, and what is it actually good at?
Conductrics is an experimentation and optimisation platform with A/B and multivariate testing, a visual editor (Conductrics Express), contextual bandits, and surveys inside experiments. It 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. Its strength is range: a visual editor for quick UI changes by non-technical teams, with multi-page changes and split-URL tests, alongside server-side libraries for Node.js, Java, and Swift, testing at the CDN edge, and mobile SDKs, with A/B and multivariate tests in the same platform.
Its adaptive layer is built on predictive agents: contextual multi-armed bandits using Thompson Sampling, with a Listen mode that learns without changing the experience and an Adaptive mode, plus human-readable decision trees that show which visitor traits drove a choice. Its statistics add error-rate control, checks for test interference, and corrections for multiple comparisons.
An experimentation and adaptive optimisation platform runs controlled A/B and multivariate tests and can also shift traffic toward better-performing experiences while a test runs, using multi-armed bandits. Conductrics does both across web, server, edge, and mobile. It is a general-purpose platform used across industries, distinct from a platform built around controlled revenue experiments on the product, cart, and checkout pages of a Shopify store.
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 eCommerce-specific: 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 Amplitude Experiment and Conductrics leave open for an eCommerce store
Amplitude Experiment and Conductrics leave a store with different gaps. Amplitude Experiment is built for engineers, needs code to launch a test, and does not reach the Shopify checkout without integration work. Conductrics offers a visual editor alongside its server-side and mobile options, but it is a general-purpose platform with no dedicated Shopify app listed. Neither is built specifically around the store's product, cart, and checkout path.
Amplitude Experiment is an add-on layer for existing Amplitude Analytics customers. It has no visual editor and requires developer implementation on every test. It was never designed for marketer-led CRO on a Shopify storefront.
Conductrics is a general-purpose experimentation and optimisation platform used across industries. Its visual editor, Conductrics Express, lets non-technical teams test UI changes, and it installs on a Shopify storefront through its script tag, as on any other website. What it does not list is a Shopify app, a Shopify-specific integration, or eCommerce-specific features.
The gap is not a weakness in either tool; it is what each was built to do. Amplitude Experiment is an execution layer for teams that write code, and Conductrics is built for breadth, from the browser to the server, the edge, and mobile apps. Neither is built specifically around the surfaces where an online store earns revenue, or the outcome metric that matters there.
Omniconvert Explore closes that gap. It runs A/B, multivariate, and personalization experiments on the store's product page, cart, and checkout through a visual editor a marketer can drive, and reports the outcome in revenue per visitor and order rate. For the wider debate behind acting on behavioral data, see Has personalization replaced A/B testing?
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 change raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just moved a click.
- 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: 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]
Amplitude Experiment is not built to test the fix on the Shopify checkout through a marketer's hands, and Conductrics lists no Shopify-specific integration. 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 testing for Shopify revenue. Conductrics is a capable general-purpose platform, but it lists no Shopify-specific integration or eCommerce-specific features. With Amplitude Experiment, every idea a marketer has about the checkout flow has to queue behind an engineer who can wire the SDK, and by the time it ships the shopper has already left. Explore removes that queue for the marketer-facing tests that move a Shopify store, 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.
Amplitude Experiment vs Conductrics vs Explore: the capability comparison
Side by side, the three tools are built for different jobs. Amplitude Experiment lives inside product analytics. Conductrics is a general-purpose platform that runs tests in the browser, on the server, at the edge, and in mobile apps. Explore adds native Shopify experiments, 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 | Amplitude Experiment | Conductrics | Omniconvert Explore |
|---|---|---|---|
| Primary function | Product-analytics experimentation | General-purpose experimentation and adaptive optimisation | eCommerce CRO on product, cart, and checkout |
| A/B testing | Partial SDK-based, requires Amplitude Analytics | Yes visual editor, server-side, edge, and mobile | Yes visual plus code editor |
| Multivariate testing | No | Yes with a Main Effects Report | Yes |
| Server-side testing | Yes SDK-based | Yes REST API and Node.js, Java, and Swift libraries | Yes |
| Visual editor | No dev implementation required | Yes Conductrics Express | Yes for marketer-led tests |
| On-site surveys and overlays | No | Yes on-site surveys inside experiments (Conductrics Surveys) | Yes surveys and overlays built in |
| Shopify integration | Low no native app or checkout hooks | Partial no dedicated Shopify app; installs through its script tag | Yes native |
| eCommerce focus | Low product analytics stack | Low general-purpose, not eCommerce-specific | High built for store revenue workflows |
| Pricing model | Seat-based, free tier on Amplitude | Prices not published; quotes from sales | Session-based, built for store traffic, free trial |
| Best for | Product teams already on Amplitude Analytics | Teams testing across web, server, edge, and mobile, with contextual bandits | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.5 out of 5 (G2, 2200 reviews, as of 2026) | No public G2 rating | 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. Amplitude Experiment requires an Amplitude Analytics subscription; Conductrics does not publish prices, and quotes come from sales. 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 Amplitude Experiment or Conductrics?
Decide by who owns the roadmap. If your product team is on Amplitude and experimentation lives inside product analytics, Amplitude Experiment fits that stack. If you need A/B and multivariate testing across web, server, edge, and mobile apps, with contextual bandits, Conductrics fits that. If a marketing or CRO team owns the Shopify storefront and needs to test the cart and the checkout in revenue terms, run those experiments in Explore instead.
Amplitude Experiment and Conductrics are both capable testing tools. Amplitude Experiment is the natural experimentation layer for a product team already living inside Amplitude Analytics. Conductrics is a general-purpose optimisation platform that pairs a visual editor with server-side, edge, and mobile testing, multivariate reporting, and contextual bandits.
The question for a store is narrower: can a marketing team run a controlled experiment on the Shopify product, cart, and checkout through a native Shopify integration, and read the result in revenue per visitor. That is the surface Explore is built for, and the reason it usually replaces rather than complements these two.
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