Eppo vs Intelligems vs Explore (2026): Where Full CRO Lives
Eppo is a warehouse-native experimentation platform for data teams running analysis in Snowflake, BigQuery, or Redshift, without a visual editor. Intelligems is a Shopify-native app focused on price, shipping-rate, and content testing. Omniconvert Explore is the eCommerce CRO platform: it runs A/B, multivariate, and server-side experiments on product, cart, and checkout, measured in revenue per visitor.
- Eppo is a warehouse-native experimentation platform purpose-built for data teams, with a 4.7 out of 5 G2 rating across 80 reviews. [G2, 2026]
- Intelligems is a Shopify-native app for native price, shipping-rate, and theme testing, with a 4.9 out of 5 G2 rating across 65 reviews. [G2, 2026]
- Eppo needs a cloud warehouse like Snowflake, BigQuery, or Redshift and has no visual editor; the testing surface sits with engineering, not store marketers.
- Intelligems is Shopify-only with no server-side testing and no complex audience targeting; its surface is price, shipping rates, and theme content.
- Omniconvert Explore runs A/B, multivariate, and server-side experiments natively on product, cart, and checkout, measured in revenue per visitor.
Teams comparing Eppo vs Intelligems are usually deciding where the next experimentation investment should sit: inside the data warehouse or on the Shopify storefront. Eppo answers the data-team question for organizations with warehouse infrastructure. Intelligems answers the price-testing question for Shopify merchants whose first bet is pricing experiments. Neither tool runs the full product-to-checkout experiment program measured in revenue per visitor; this page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is Eppo, and what is it actually good at?
Eppo is a warehouse-native experimentation platform for mature data organizations. It connects directly to Snowflake, BigQuery, or Redshift to run A/B testing analysis against your existing warehouse metrics, with advanced statistical methods and strong experiment governance. It has no visual editor. [Eppo, 2026]
Eppo holds a 4.7 out of 5 rating on G2 across 80 reviews. [G2, 2026] Data teams praise it for rigorous statistical methods, warehouse-native pipelines, and metric definitions that are reused across analytics and experimentation.
The category Eppo sits in is engineering-led experimentation at the data layer. It is built for organizations with a cloud warehouse already in production and data engineers who own experiment pipelines, variance-reduction methods, and governance.
Warehouse-native experimentation runs the experiment analysis directly against your data warehouse, using the metric definitions your data team already owns. Eppo builds this into its product, which fits organizations with mature data infrastructure. It is a different concern from running a controlled revenue experiment on a store's product, cart, and checkout.
Where Eppo is genuinely strong
- Warehouse-native statistical rigor: analysis runs directly against Snowflake, BigQuery, or Redshift using your existing metric definitions.
- Advanced statistical methods: variance reduction, sequential testing, and governance built for high-velocity experimentation programs.
- Data-team friendly: fits organizations where data engineering owns experiment pipelines and metric contracts.
- Metric reuse across experiments: the same definitions power analytics and experimentation, reducing drift between dashboards and tests.
Where Eppo hits its ceiling for an eCommerce store
- No visual editor: variants require engineering, so marketers cannot ship a product-page change themselves.
- Needs warehouse infrastructure: Snowflake, BigQuery, or Redshift is a prerequisite most Shopify brands do not run.
- Enterprise pricing by quote: contact-sales pricing excludes small and mid-market stores from the start.
- No native Shopify experience: no checkout templates, variant handling, or revenue per visitor metric out of the box.
What is Intelligems, and what is it actually good at?
Intelligems is a Shopify-native A/B testing app focused on price, theme, and content experiments. It lets Shopify merchants test product prices, shipping rates, and bundle pricing without the custom workarounds price testing used to require. It also supports multivariate tests on Shopify. [Intelligems, 2026]
Intelligems holds a 4.9 out of 5 rating on G2 across 65 reviews. [G2, 2026] Shopify merchants praise it for solving a gap most testing tools cannot touch: real price experiments on the Shopify catalog without the storefront workarounds that normally break on theme updates.
The category Intelligems sits in is Shopify-native price testing. It is built for merchants who want to answer a specific question, "what price lifts order rate without hurting margin", directly on the catalog, and who do not want to involve engineering for every test.
Shopify price testing experiments on product prices, shipping rates, and bundle pricing directly on the Shopify catalog, without the custom code that normally breaks on theme updates. Intelligems builds this into its product. It is a Shopify-only, use-case-specific capability, distinct from running the full set of controlled experiments across product, cart, and checkout.
Where Intelligems is genuinely strong
- Native price testing on Shopify: real experiments on product prices, shipping rates, and bundle pricing without engineering workarounds.
- Multivariate testing on Shopify: more than two variants in a single test, native to the catalog.
- Theme and content experiments: test themes, hero sections, and on-page content without custom code.
- Accessible pricing from $149 per month: session-based plans and a free trial lower the risk for small and mid-market stores.
Where Intelligems hits its ceiling for a broader program
- Shopify-only: the platform is not usable on other platforms or non-Shopify surfaces.
- No server-side testing: experiments cannot run server-side where that model is needed.
- Limited audience targeting: complex segmentation and audience rules are not supported.
- Price- and content-focused scope: outside the Shopify catalog or theme, the testable surface is narrow.
What Eppo and Intelligems cannot do for an eCommerce store
Eppo and Intelligems solve different pieces of the testing problem, warehouse-native analysis in one case and Shopify-native price tests in the other, but they share one gap for a store. Neither runs the full set of experiments on product, cart, and checkout, with built-in surveys and overlays, measured in revenue per visitor.
Eppo is a warehouse-native tool built for organizations with mature data engineering. It has no visual editor and requires Snowflake, BigQuery, or Redshift. Running experiments on Shopify product pages or checkout flows through a marketer-accessible interface is not what Eppo is designed for, and self-serve eCommerce CRO is a different model altogether.
Intelligems is a Shopify-native platform focused on price testing and content experiments. It cannot be used outside Shopify, and it does not support server-side testing or complex audience targeting. Teams that want full CRO capability beyond price and content tests need a broader platform.
The two gaps differ in nature but point to the same missing layer. Eppo gives data teams statistical rigor without a store-facing editor; Intelligems gives Shopify merchants price testing without the rest of the funnel. Neither reports an outcome in revenue per visitor across the whole product-to-checkout path, or ties the result back to repeat, high-value customers, the Customer Value Optimization question. For the wider testing-versus-personalization context behind this, 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. Eppo analyzes the result in the warehouse, but heatmaps, session recordings, and on-site surveys live in third-party tools your team has to stitch together and reconcile. Intelligems is excellent at price testing, but it is not a behavioral analysis platform. 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: 99.6% fail to make guest checkout prominent, 94.2% never show checkout progress, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
These are checkout-surface problems, the exact surfaces a warehouse-native analytics tool or a price-testing app 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 where full CRO lives. Eppo analyzes experiments cleanly in the warehouse but does not run them on the store; Intelligems runs sharp price tests but not the full funnel. Explore optimizes revenue per visitor on the whole product-to-checkout path, 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. Explore also reaches Shopify-specific levers few testing tools cover beyond price alone; see Explore 3.0: pricing testing on Shopify.
Eppo vs Intelligems vs Explore: the capability comparison
Side by side, the three tools serve different layers. Eppo analyzes experiments in the warehouse for data teams. Intelligems runs native price and content tests on Shopify. Explore adds native Shopify experiments across product, cart, and checkout, with built-in surveys and overlays and revenue-per-visitor measurement. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Eppo | Intelligems | Omniconvert Explore |
|---|---|---|---|
| Primary function | Warehouse-native experiment analysis | Shopify-native price and content testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes warehouse-native, no visual editor | Yes Shopify-native, no visual editor | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes | No | Yes |
| Visual editor | No engineering implementation | No native settings, not a WYSIWYG editor | Yes visual editor plus code |
| On-site surveys and overlays | No analysis only | No price and content tests | Yes surveys and overlays built in |
| Shopify integration | Low needs engineering glue | High Shopify-native | Yes native |
| eCommerce focus | Low data-team focus | High Shopify-only | High built for store revenue workflows |
| Pricing model | Custom, contact sales, no free trial | Session-based, from $149/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Data teams with Snowflake or BigQuery infrastructure | Shopify stores running price, shipping, and theme tests | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.7 out of 5 (G2, 80 reviews, as of 2026) | 4.9 out of 5 (G2, 65 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 Eppo or Intelligems?
Start with the surface where your revenue is decided. If your data team already runs analysis in Snowflake or BigQuery, keep Eppo for warehouse-native experiment analysis. If your single most urgent Shopify need is price or shipping tests, Intelligems earns its spot. For a Shopify store running the full product-to-checkout experiment program measured in revenue per visitor, run that program in Explore; the three are complementary, not substitutes.
Eppo and Intelligems are capable tools inside their categories. Eppo is purpose-built for data teams with warehouse infrastructure and strict statistical governance, with a 4.7 out of 5 G2 rating across 80 reviews. [G2, 2026] Intelligems is Shopify-native and especially strong for price and shipping experiments, with a 4.9 out of 5 G2 rating across 65 reviews. [G2, 2026]
The question for a store is narrower: can your team run a controlled experiment on the Shopify product, cart, and checkout, read the result in revenue per visitor, and tie it back to repeat, high-value customers. That is the Customer Value Optimization layer Explore is built for, and the one Eppo and Intelligems are not.
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