Amplitude Experiment vs Convert.com vs Explore (2026): For Shopify Revenue
Amplitude Experiment adds A/B testing on top of Amplitude Analytics: it needs the analytics stack and developer implementation. Convert.com is a privacy-first A/B testing platform for CRO agencies, with a visual editor and session-based pricing. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and reports revenue per visitor.
- Amplitude Experiment is a product-analytics experimentation SDK: it requires Amplitude Analytics, offers no visual editor, and holds a 4.5 out of 5 G2 rating across 2,200 reviews. [G2, 2026]
- Convert.com is a privacy-first A/B testing platform with a visual editor and session-based pricing from $299 per month, and a 4.7 out of 5 G2 rating across 139 reviews. [G2, 2026]
- Both platforms treat a store like a generic web page: neither is built around the Shopify product-to-checkout path, and neither reports outcomes in revenue per visitor natively.
- Amplitude Experiment needs developer time for every test; Convert.com's visual editor helps marketers but still requires manual work to reach the Shopify checkout.
- Omniconvert Explore is the eCommerce CRO layer built around Shopify revenue surfaces: it runs A/B, multivariate, and checkout experiments natively and measures the outcome in revenue per visitor.
Teams comparing Amplitude Experiment vs Convert.com are usually weighing two very different tools that share a testing label. Amplitude Experiment is an experimentation SDK bolted onto Amplitude Analytics, built for product teams already invested in that stack. Convert.com is a standalone A/B testing platform built for CRO agencies and privacy-conscious mid-market teams. This page covers what each does well for its own audience, the ceiling they share when a Shopify store is the buyer, and where Omniconvert Explore is the right layer.
What is Amplitude Experiment, and what is it actually good at?
Amplitude Experiment is Amplitude's experimentation layer, built on top of Amplitude Analytics. Tests fire through an SDK, feature flags gate the variants, and results are analysed as events inside the same Amplitude environment. It holds a 4.5 out of 5 G2 rating across 2,200 reviews. [G2, 2026]
Amplitude Experiment is an experimentation layer for teams already running Amplitude Analytics. Its strength is that experiments and product-analytics events live in the same environment, so a team can target Amplitude cohorts and read results next to every other product event without a separate integration.
The trade-off is a hard prerequisite. Amplitude Experiment requires Amplitude Analytics, has no visual editor, and runs experiments through an SDK. That means every test needs a developer to ship, and for a Shopify store the analytics stack has to be Amplitude first, not Shopify's own funnel data.
Product-analytics experimentation is a testing layer built on top of a product analytics platform. Experiments run through an SDK, and results are analysed against events already flowing into the analytics tool. Amplitude Experiment does this well for teams already on Amplitude. It is a testing layer inside a product-analytics workflow, distinct from running a controlled revenue experiment on product, cart, and checkout pages.
Where Amplitude Experiment is genuinely strong
- Analytics-native results: experiments and product events sit in one platform, with no separate data integration.
- Cohort targeting: reach segments already defined inside Amplitude Analytics.
- Server-side testing: run experiments on backend flows without client-side flicker.
- Free tier available: start experimenting at no cost once Amplitude Analytics is in place.
Where Amplitude Experiment hits its ceiling for an eCommerce store
- No visual editor: every variant needs developer time, so marketing ideas queue behind engineering capacity.
- Amplitude Analytics required: the value only lands once your stack is already Amplitude-first.
- Not built for Shopify: no native checkout experimentation, and no revenue per visitor metric out of the box.
- Product-team ergonomics: designed around product events, not checkout revenue, so store questions read as event trends rather than order-rate lift.
What is Convert.com, and what is it actually good at?
Convert.com is a privacy-first A/B testing platform with a visual editor, session-based pricing from $299 per month, and strong support for CRO agencies. It supports multivariate testing and server-side testing, and holds a 4.7 out of 5 G2 rating across 139 reviews. [G2, 2026]
Convert.com is a standalone A/B testing platform popular with CRO agencies and mid-market teams. Its strength is a transparent, session-based pricing model and a strong data-handling posture: no data sharing with third parties, consent-aware processing, and a customer-support reputation often cited by agency teams.
Convert.com also supports multivariate testing, server-side testing, and integrations across major analytics platforms. Where it hits its ceiling for a store is on eCommerce ergonomics: no native Shopify integration, no built-in heatmaps or session recordings, and no first-class revenue-per-visitor metric in experiment reporting.
Privacy-first A/B testing is A/B testing built with data ownership and privacy handling as a first principle: no data sharing with third parties, transparent processing, and consent-aware implementation. Convert.com does this well and is respected among CRO agencies. It is a testing tool for general web pages, distinct from running a controlled revenue experiment natively on the Shopify product, cart, and checkout.
Where Convert.com is genuinely strong
- Privacy-first data handling: transparent processing and no data sharing with third parties.
- Agency-friendly pricing: session-based plans that scale with real usage rather than seat count.
- Multivariate and server-side testing: full experimentation depth beyond simple A/B.
- Strong customer support: highly rated among CRO agencies for responsiveness.
Where Convert.com hits its ceiling for an eCommerce store
- No native Shopify integration: checkout tests need manual implementation and script maintenance.
- No eCommerce-specific templates: experiments start from generic web patterns, not store patterns.
- No built-in heatmaps or recordings: behavioural context has to come from a separate tool.
- No native revenue-per-visitor metric: outcomes read as conversion rate, not store revenue.
What Amplitude Experiment and Convert.com cannot do for an eCommerce store
Amplitude Experiment is a product-analytics extension. Convert.com is a general-web A/B tester. Both are respected in their own lanes, and both share the same ceiling for a Shopify store: neither is built around the checkout, and neither reports outcomes in revenue per visitor.
Amplitude Experiment sits on top of Amplitude Analytics and delivers experiments through an SDK. That works cleanly inside a product team already writing to Amplitude, but it puts every store experiment behind an engineering ticket: a marketer cannot ship a checkout test without a developer, and the win reads as an event trend rather than a revenue lift.
Convert.com does give marketers a visual editor and privacy-first data handling, and it has a strong following on general-web A/B testing. But it is not built around Shopify: checkout tests need manual implementation, and revenue per visitor is not a first-class experiment metric. The visual editor makes the test easier to build; it does not make the eCommerce funnel any more native.
Both tools optimise for a generic web page and a generic conversion event. Neither is designed around the surfaces where store revenue is actually won or lost: product pages, cart, and checkout. Neither is built around Customer Value Optimization: whether a result holds for repeat, high-value buyers rather than first-session visitors.
Omniconvert Explore is built for this layer. Explore runs A/B, multivariate, personalization, and on-site survey experiments on the Shopify product, cart, and checkout, natively, and reports the outcome in revenue per visitor and order rate. Insight and test live in one place, on the store's real revenue surfaces.
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 change lifted revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just moved an event or 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 Shopify checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work.
- Whether it holds for high-CLV customers. Whether the result holds for repeat, high-value buyers, 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, 94.2% never show checkout progress, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
A product-analytics chart or an off-the-shelf A/B test can point at friction. Neither prices the loss on the actual Shopify checkout or proves the fix there. Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor, tied back through Customer Value Optimization to the buyers a store keeps rather than the traffic it rents.
Amplitude Experiment vs Convert.com vs Explore: the capability comparison
Side by side, the three tools sit at different points on the testing spectrum. Amplitude Experiment ties tests to product analytics through an SDK. Convert.com runs privacy-first A/B tests through a visual editor. Explore adds native Shopify experiments on product, cart, and checkout, with heatmaps and surveys beside them, measured in revenue per visitor. See A/B testing with Explore for how those experiments run on the Shopify funnel.
| Capability | Amplitude Experiment | Convert.com | Omniconvert Explore |
|---|---|---|---|
| Primary function | Product-analytics experimentation via SDK | Privacy-first A/B testing for CRO teams | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes SDK-based, requires Amplitude Analytics | Yes visual editor | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes | Yes | Yes |
| Visual editor | No SDK and developer-first | Yes a core strength | Yes plus code editor |
| On-site surveys and overlays | No not in scope for the product | Partial overlay tests, no native surveys | Yes surveys and overlays built in |
| Shopify integration | Low via SDK, developer-implemented | Medium script-based, no native checkout | Yes native |
| eCommerce focus | Low product-team ergonomics | Medium generic web CRO patterns | High built for store revenue workflows |
| Pricing model | Seat-based, free tier available (Amplitude Analytics required) | Session-based, from $299/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Product teams already on Amplitude Analytics | CRO agencies and privacy-first mid-market teams | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.5 out of 5 (G2, 2200 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. Amplitude Experiment's value assumes an existing Amplitude Analytics investment; Convert.com is a general-web A/B testing platform rather than an eCommerce-specific tool. 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 Convert.com?
Decide by where your team already lives. Amplitude Experiment is right if your analytics stack is already Amplitude and your product team owns experimentation. Convert.com is right if you run agency-style A/B tests on general web pages with privacy-first data handling. For a Shopify store where the revenue lives in product, cart, and checkout, run your next experiment in Explore and measure it in revenue per visitor rather than clicks.
Amplitude Experiment and Convert.com solve different problems for different buyers. Amplitude Experiment is a product-analytics extension; Convert.com is an agency-friendly A/B tester. Both are respected in their own lanes, and both hit the same ceiling on a Shopify store: neither is built around the checkout, and neither reports the result as revenue per visitor.
The question for an eCommerce store is narrower: once you know what you want to test, can you run the controlled experiment on the Shopify product, cart, and checkout, and read the result in revenue per visitor. That is the surface Explore is built for, and it is where store revenue is decided.
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