Amplitude Experiment alternative (2026): SDK vs Shopify CRO
Amplitude Experiment is an experimentation layer bolted onto Amplitude Analytics, with SDK-based A/B tests, cohort targeting, and results analyzed inside the same product analytics environment. Omniconvert Explore is built for the eCommerce store: Shopify-native experiments on product, cart, and checkout, no developer required, measured in revenue per visitor. Different jobs, rarely overlapping.
- Amplitude Experiment is an experimentation layer on top of Amplitude Analytics, with a 4.5 out of 5 G2 rating across 2,200+ reviews for the broader Amplitude platform. [G2, 2026]
- It runs SDK-based A/B tests, targets users through Amplitude cohorts, and reports results inside the same environment product teams already use.
- Amplitude Experiment has no visual editor, no multivariate testing, low Shopify fit, and requires an existing Amplitude Analytics investment to make sense.
- Omniconvert Explore runs experiments on Shopify product, cart, and checkout pages without SDK work, and measures results in revenue per visitor.
- The two rarely compete: many teams run Amplitude for product analytics and Explore for storefront CRO on the same store.
Teams comparing Amplitude Experiment vs Omniconvert Explore are usually asking two different questions dressed as one. Amplitude Experiment is an experimentation add-on for existing Amplitude Analytics customers, well-liked by product teams because tests share the same environment as every other product metric. Omniconvert Explore is a Shopify-native CRO platform that runs experiments on product, cart, and checkout without SDK work, and measures the outcome in revenue per visitor. This page explains where each fits and where they never really compete.
What is Amplitude Experiment, and what does it actually do?
Amplitude Experiment is the experimentation layer that sits on top of Amplitude Analytics. It runs A/B and feature flag tests through SDKs, targets users with Amplitude cohorts, and reports results inside the same dashboards product teams already use for behavioral analysis. [Amplitude, 2026]
Amplitude Experiment is highly rated in its category, with a 4.5 out of 5 rating on G2 across more than 2,200 reviews for the broader Amplitude platform. [G2, 2026] The pitch is straightforward: if your product team already runs on Amplitude Analytics, experimentation lives in the same environment as every event, funnel, and cohort you have already instrumented.
The category Amplitude Experiment sits in is analytics-tied product experimentation. Tests are defined and exposed through SDKs, targeting uses cohorts built inside Amplitude, and results are analyzed against the events already captured in the analytics stack.
The question this page answers is narrower: is analytics-tied SDK experimentation the same job as running conversion experiments on a Shopify store? And if not, where is the gap?
Analytics-tied experimentation means the test platform is an add-on to a product analytics tool: exposures fire from SDKs, targeting uses cohorts built inside the analytics environment, and results are measured against events already instrumented for behavioral analysis. It is powerful for product teams already on that analytics stack. It is a separate concern from whether a test can run on a Shopify product page without touching code.
Where Amplitude Experiment is genuinely strong
- One environment for analytics and tests: experiment results sit next to every other product metric, so no separate data pipeline or reconciliation is needed.
- Advanced cohort targeting: any cohort you have already defined in Amplitude Analytics can drive experiment exposure.
- Server-side testing: SDK-based exposures work across web, mobile, and backend surfaces for teams running full-stack experiments.
- Fits an existing Amplitude stack: product teams already invested in Amplitude get experimentation without a second vendor or a separate data integration.
Where Amplitude Experiment hits its ceiling for an eCommerce store
- No visual editor: every experiment requires code changes and SDK wiring, which locks marketing and CRO teams out of self-serve testing.
- Analytics prerequisite: the value proposition assumes an existing Amplitude Analytics investment; without it, there is little reason to pick this over a dedicated testing tool.
- No multivariate testing: classic A/B is supported, but full MVT designs are not.
- Low Shopify fit: no native Shopify app, no product page or checkout templates, and no revenue-per-visitor framing out of the box.
None of this makes Amplitude Experiment a weak product. It makes it an analytics-tied product tool. The friction shows up specifically when the site under test is a Shopify store and the team running experiments does not have a dedicated engineer on standby for every hypothesis.
What Amplitude Experiment cannot do for an eCommerce store
Amplitude Experiment is an add-on layer for existing Amplitude Analytics customers. It has no visual editor and requires developer implementation for every test, so experiments on Shopify product pages and checkout flows cannot ship through a marketer-accessible interface without engineering support. That is the gap an eCommerce-first platform closes.
Omniconvert Explore is built for the layer Amplitude Experiment leaves open. Amplitude can analyze any product event well, but a store does not need every event modeled; it needs the product page, the cart, and the checkout tested, and the result expressed in revenue per visitor. Those are not the same task.
Most analytics-tied experimentation tools are built around a generic exposure event and a generic product metric. They optimize the measurement of a test. They are not built around the surfaces where eCommerce revenue is actually won or lost, or around the metric a store runs on.
eCommerce 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 Amplitude Experiment cannot tell an eCommerce team
- Did the win move revenue. Whether a winning variant actually raised revenue per visitor and order rate, not just a product analytics event.
- Which surface to test first. Which pages in the Shopify 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 an engineer wiring SDK exposures.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session traffic.
Across the 7,000+ eCommerce websites in Omniconvert's CROBenchmark Report 2026, the stores testing fastest are the ones where a marketer or CRO lead can launch a product page or checkout experiment the same week it is proposed; Amplitude Experiment's SDK-first, analytics-tied model pushes that work into the engineering backlog, and the benchmark shows testing cadence drops sharply when every experiment needs a developer ticket. [CROBenchmark Report 2026, Omniconvert]
Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor. 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]
Amplitude Experiment vs Explore: the capability comparison
Side by side, Amplitude Experiment and Explore share almost no overlap in daily job. Amplitude Experiment runs SDK-based tests inside a product analytics stack and reports in product metrics. Explore ships Shopify-native experiments on product, cart, and checkout, adds surveys and overlays, and reports in revenue per visitor. Where they touch is server-side testing, and the fit still splits by team.
| Capability | Amplitude Experiment | Omniconvert Explore |
|---|---|---|
| Primary function | SDK-based experimentation tied to Amplitude Analytics for product teams | eCommerce CRO on product, cart, and checkout pages |
| A/B testing | Partial SDK-based, requires Amplitude Analytics | Yes visual editor plus code editor |
| Multivariate testing | No | Yes |
| Server-side testing | Yes | Yes |
| Visual editor | No code required for every test | Yes no developer required |
| On-site surveys and overlays | No not part of the product | Yes surveys and overlays built in |
| Shopify integration | Low no native app, engineering required | Yes native |
| eCommerce focus | Low built for product analytics workflows | High built for store revenue workflows |
| Pricing model | Seat-based, free tier available, free trial | Session-based, built for store traffic, free trial |
| Best for | Product teams already on Amplitude who want experimentation connected to their analytics data | Shopify and eCommerce teams optimizing product, cart, and checkout for revenue |
Competitor 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 Amplitude Experiment?
If your team already lives inside Amplitude Analytics and needs experimentation stitched into existing product data, choose Amplitude Experiment: it inherits every cohort you have already built. If your revenue depends on Shopify product, cart, and checkout, choose Explore: it runs those tests natively, with no SDK work, and reports outcomes in revenue per visitor. The two rarely compete; many teams run Amplitude for product analytics and Explore for storefront CRO.
Amplitude Experiment earns its place inside product organizations already on Amplitude Analytics. It is well-instrumented, cohort-rich, and statistically credible, which is exactly what product managers running feature-tied experiments want next to their event data.
The question for a store is narrower: are the experiments that move revenue running natively on the product, cart, and checkout pages, without a developer ticket, and are they measured in revenue per visitor. 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.