Convert vs Personyze vs Explore (2026): The Shopify Checkout Gap
Convert is a privacy-first A/B testing tool built for CRO agencies and general websites. Personyze is a website personalization platform with lighter A/B testing added on top. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor rather than generic conversion rate.
- Convert is a privacy-first A/B testing platform for CRO agencies and general websites, with a 4.7 out of 5 G2 rating. [G2, 2026]
- Personyze is a website personalization platform with secondary A/B testing, holding a 4.6 out of 5 G2 rating. [G2, 2026]
- Convert and Personyze solve different jobs, rigorous testing and website personalization, so they are rarely direct substitutes.
- Neither has native Shopify checkout testing or revenue-per-visitor measurement, the surfaces where store revenue is decided.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and measures results in revenue per visitor: pick it for Shopify revenue surfaces.
Teams comparing Convert vs Personyze are usually deciding between testing rigor and personalization breadth: should the next optimization dollar fund a cleaner A/B testing program, or a personalization engine that runs lighter tests alongside recommendations? Convert answers the testing question for CRO agencies and mid-market websites. Personyze answers the personalization question for teams that want product recommendations and behavioural targeting with testing bolted on. Neither is built around the surfaces where a Shopify store wins or loses revenue, so this page covers what each does well, the gap they share, and when Omniconvert Explore is the right layer.
What is Convert, and what is it actually good at?
Convert is a privacy-first A/B testing platform for CRO agencies and mid-market teams. It supports multivariate testing, server-side testing, and advanced targeting, integrates with Google Analytics and major analytics platforms, and is known for transparent session-based pricing and a no-data-sharing stance. [Convert, 2026]
Convert is one of the most highly rated tools in the category, with a 4.7 out of 5 rating on G2 across 139 reviews. [G2, 2026] It is a favorite among CRO agencies for transparent, session-based pricing and agency-friendly account features, and its support is consistently praised.
The category Convert sits in is practitioner-led web testing. It runs A/B, multivariate, and server-side tests on general websites, with a strong privacy posture that appeals to teams handling sensitive traffic. That focus is the point of the product.
Privacy-first testing means the platform avoids sharing experiment data with third parties and minimizes what it collects, which matters for teams under strict compliance requirements. Convert builds this into its product and pricing. It is a separate concern from whether a test runs natively on a store's checkout.
Where Convert is genuinely strong
- Transparent, session-based pricing: predictable costs from $299 per month that agencies and mid-market teams can plan around.
- Strong privacy stance: no data sharing with third parties, useful under strict compliance needs.
- Server-side and multivariate testing: capable experimentation with granular audience rules.
- Highly rated support and integrations: well-regarded support, with Google Analytics and major analytics connections.
Where Convert hits its ceiling for an eCommerce store
- No native Shopify integration: no eCommerce-specific experiment templates, so store setups are manual.
- Editor is functional, not polished: the visual editor trails VWO and Optimizely for ease of use.
- No built-in behavioural analysis: no native heatmaps or session recordings, so teams add third-party tools.
- Generic conversion focus: results are framed around general conversion, not revenue per visitor.
What is Personyze, and what is it actually good at?
Personyze is a website personalization platform that combines behavioural targeting, product recommendations, and A/B testing in one tool. It is accessible to non-technical users, integrates with popular eCommerce platforms, and is priced for mid-market teams at around $250 per month. [Personyze, 2026]
Personyze is a personalization engine first and a testing tool second. It holds a 4.6 out of 5 rating across 48 reviews on G2. [G2, 2026] Its strength is adapting what each visitor sees based on behaviour and profile data, then validating which personalized experience performs best with basic A/B testing.
The tests it runs exist to prove a personalization rule or recommendation works. That is a different job from running a standalone experiment program with strict statistical rigour on a store's checkout, and the platform does not pretend otherwise.
Website personalization adapts what visitors see based on their behaviour, profile data, and interaction history, serving recommendations and dynamic content tailored to each segment or individual. Personyze does this with A/B testing added on top. It is a delivery layer, distinct from running controlled revenue experiments on product, cart, and checkout surfaces.
Where Personyze is genuinely strong
- Personalization and testing together: behavioural targeting, product recommendations, and A/B tests inside one platform.
- Behavioural targeting depth: rules based on user actions and profile data, usable without engineering help.
- Accessible to non-technical teams: marketers can build rules and recommendations without deep developer support.
- Mid-market pricing: session-based plans from $250 per month, with a free trial, built for growing teams.
Where Personyze hits its ceiling for an eCommerce store
- Testing is secondary: A/B testing is a feature layer, not the core product, so statistical rigour trails dedicated testers.
- No server-side testing: client-side only, which limits experiments on the Shopify checkout flow.
- Limited multivariate testing: basic variant combinations, not full factorial design.
- Limited native Shopify integration: checkout flow experiments are not natively supported on the Shopify funnel.
What Convert and Personyze cannot do for an eCommerce store
Convert and Personyze serve different jobs, rigorous testing and website personalization, but they share one gap for a store. Neither is built around the surfaces where eCommerce revenue is won or lost, product pages, cart, and checkout, or around the metrics that matter there: revenue per visitor, order rate, and the margin a store actually keeps.
Convert is built for CRO practitioners running tests on general websites. With no native Shopify integration, checkout testing happens through manual implementation, and revenue per visitor is not a native experiment metric. The work of connecting a winning variant to checkout revenue still happens by hand.
Personyze is a personalization platform with basic A/B testing added on. Native Shopify checkout testing is not supported, and the statistical rigour sits below what a dedicated experimentation platform brings. Teams can personalize on-site experiences but cannot run controlled revenue-connected experiments on the checkout flow.
The two gaps differ in nature but point to the same missing layer. Most testing and personalization tools optimize the execution of a test or a campaign on a generic page. They are not built around where store revenue is decided, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers. For the wider debate behind this testing-versus-personalization split, 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. Convert runs clean experiments but ships no native behavioural analysis, so heatmaps, session recordings, and on-site surveys come from third-party tools the team has to stitch together and reconcile. Personyze holds behavioural data for targeting, but it feeds personalization rules rather than a controlled experiment on checkout. Omniconvert Explore builds that data insights layer in: heatmaps, session recordings, and surveys sit next to the experiment, and the same behavioural 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 defined as 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 lose orders: 99.6% fail to make guest checkout prominent, 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 general tester or a personalization suite 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 the Shopify checkout gap the title names. A higher click rate or a lifted micro-conversion can leave the bank balance flat; what moves it is order rate and average order value along the product-to-checkout path, read as revenue per visitor. Explore optimizes for that number directly, 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. That is the revenue question Convert and Personyze are not built to answer, and the one Omniconvert Explore is. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
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]
Convert vs Personyze vs Explore: the capability comparison
Side by side, the three tools serve different layers. Convert runs clean privacy-first tests on general websites. Personyze personalizes experiences and tests which rules perform best. Explore adds native Shopify experiments, built-in 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 | Convert | Personyze | Omniconvert Explore |
|---|---|---|---|
| Primary function | Privacy-first general-website A/B testing | Website personalization with secondary A/B testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual and code editor | Yes basic, personalization-first | Yes visual plus code editor |
| Multivariate testing | Yes | Limited basic variant combinations | Yes |
| Server-side testing | Yes | No client-side only | Yes |
| Visual editor | Yes functional, less polished | Yes accessible to non-technical users | Yes built for eCommerce surfaces |
| On-site surveys and overlays | No needs third-party tools | Partial overlays yes, surveys no | Yes surveys and overlays built in |
| Shopify integration | Medium not native, manual setup | Medium limited, no native checkout | Yes native |
| eCommerce focus | Medium agency and mid-market web | Medium personalization and recommendations | High built for store revenue workflows |
| Revenue per visitor measurement | No generic conversion metrics | No personalization KPIs | Yes revenue per visitor and order rate native |
| Pricing model | Session-based, from $299/mo, free trial | Session-based, from $250/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | CRO agencies and mid-market teams wanting privacy-first testing | Mid-market teams wanting personalization with A/B testing | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.7 out of 5 (G2, 139 reviews, as of 2026) | 4.6 out of 5 (G2, 48 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. 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 Convert or Personyze?
Start with the surface where your revenue is decided. If you need rigorous, privacy-first A/B tests on general pages, keep Convert. If you run website personalization and recommendations alongside lighter testing, Personyze earns its place. For a Shopify store, run your next test on the product-to-checkout path in Explore, measured in revenue per visitor. The three can coexist, but only Explore is built for the checkout where the order closes.
Convert and Personyze are both capable tools within their categories. Convert is transparent, privacy-first, and agency-friendly, with server-side and multivariate testing. Personyze pairs behavioural personalization and product recommendations with lighter A/B testing in a single platform.
The question for a store is narrower: can your team run a controlled experiment on the Shopify product, cart, and checkout, and read the result in revenue per visitor rather than a click. 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.
4.6 out of 5 across 197 reviews, G2 , as of 2026