Convert vs Klaviyo vs Explore (2026): Testing Pages vs Testing Messages
Convert is a privacy-first A/B testing platform built for CRO agencies and general websites. Klaviyo is a Shopify-native email and SMS marketing automation platform, with testing on messages rather than on-site experiences. Omniconvert Explore is the eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor.
- 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]
- Klaviyo is the Shopify-native email and SMS marketing automation platform, with testing applied to messages rather than on-site pages.
- Convert and Klaviyo solve different jobs, on-site testing and message automation, and are rarely direct substitutes for each other.
- Neither tool is built around the Shopify checkout or measures results in revenue per visitor, the surface where store revenue is actually decided.
- Omniconvert Explore runs experiments on product, cart, and checkout natively and measures results in revenue per visitor: pick it for on-site Shopify revenue.
Teams comparing Convert vs Klaviyo are not usually picking between the same thing: one tests pages, the other automates messages. Convert is privacy-first A/B testing for CRO agencies and general websites. Klaviyo is Shopify-native email and SMS automation driven by deep store data. Neither is built around the surfaces where a Shopify store actually wins or loses revenue, product page, cart, and checkout, which is where Omniconvert Explore fits.
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 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 holds 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 and multivariate 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 that agencies and mid-market teams can plan around.
- Strong privacy stance: no data sharing with third parties, useful under strict compliance needs.
- Multivariate and advanced targeting: 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 behavioral 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 Klaviyo, and what is it actually good at?
Klaviyo is a Shopify-native email and SMS marketing automation platform. It syncs deep store data to drive customer segmentation and automated flows, and its split-testing applies to the message, subject line, send time, or content variant inside a campaign or flow. [Klaviyo, 2026]
Klaviyo is the default email and SMS platform for DTC Shopify brands. Its Shopify integration goes deeper than most, pulling in order history, catalog, and event data to build customer segments that drive automated flows: abandoned cart, post-purchase, win-back, replenishment. The strength is turning store data into timely, segmented messages.
One important pricing note. Klaviyo charges per active profile, and since February 18, 2025 that count includes cold and suppressed contacts, which raises the cost of large lists that were previously stored for free. [Klaviyo, 2026] Any team pricing it should plan for list hygiene, not just list growth.
Klaviyo's testing is a message-layer feature. Split tests sit inside campaigns and flows: subject lines, send times, content variants, and SMS copy. That is a different job from testing what happens on the product page or checkout the message points at.
Message testing is the practice of A/B testing subject lines, send times, and content variants inside email and SMS campaigns and flows. Klaviyo does this with native Shopify data behind the segmentation. It is a distinct discipline from running a controlled revenue experiment on the on-site product, cart, or checkout surfaces.
Where Klaviyo is genuinely strong
- Deep native Shopify data sync: order history, catalog, and event data power segmentation and recommendations.
- Automated flows that compound revenue: abandoned cart, post-purchase, win-back, and replenishment work out of the box.
- Message-level split testing: subject lines, send times, and content variants on campaigns and flows.
- eCommerce playbooks and templates: benchmarks, templates, and integrations built around DTC Shopify use cases.
Where Klaviyo hits its ceiling for on-site revenue
- No on-site experimentation: no A/B tests on product pages, cart, or checkout, only on the message.
- No multivariate or server-side testing: the testing surface is a message, not a storefront.
- Pricing per active profile: since February 18, 2025, cold and suppressed contacts count toward the active profile tier.
- Email revenue, not on-site RPV: campaign reports show message revenue, not revenue per visitor on the landing or checkout page the message drives to.
What Convert and Klaviyo cannot do for an eCommerce store
Convert and Klaviyo are built for different jobs, on-site testing and message automation, but they share one gap for a Shopify store. Neither is built around the surfaces where revenue is decided (product pages, cart, and checkout), or around the metric that matters there: revenue per visitor.
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.
Klaviyo segments customers from store data and runs email and SMS flows against those segments, with real Shopify depth. Its testing applies to messages, not to the on-site experience those messages lead to. A lifted open rate or click rate in Klaviyo rarely tells a store whether the landing page or checkout the message drives traffic to actually converted better.
The two gaps differ in shape but point to the same missing layer. Most testing tools optimize the execution of a test on a generic page. Most marketing automation tools optimize the message that drives a visit. Neither is built around where store revenue is actually decided, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers. For the wider debate behind this 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 behavioral analysis, so heatmaps, session recordings, and on-site surveys come from third-party tools. Klaviyo holds deep customer and segment data, but at the message layer, not at the on-site funnel. Omniconvert Explore runs the experiment on the store's real revenue surfaces and reports the outcome in revenue per visitor, with on-site surveys and overlays sitting next to the test rather than in a separate tool.
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, an open, or a micro-conversion.
- Which on-site surface to test first. Which pages in the funnel (product, cart, checkout) carry the highest revenue impact if tested next, measured on the store itself rather than on the message that led there.
- 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 a first-session visitor or a single flow send.
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 at checkout: 99.6% fail to make guest checkout visible and prominent, and 94.2% never show checkout progress steps. [CROBenchmark Report 2026, Omniconvert]
Those are checkout-surface problems, the exact surfaces a general tester cannot test natively and a messaging platform cannot see at all. Explore runs the experiment on the store's real revenue surfaces and reads the outcome in revenue per visitor.
This is what the title means by testing pages versus testing messages. A lifted email click or a lifted click on a general landing page 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 or opens it rents. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Convert vs Klaviyo vs Explore: the capability comparison
Side by side, the three tools serve different layers. Convert runs clean privacy-first tests on general websites. Klaviyo automates eCommerce email and SMS with native store data. Explore adds native Shopify experiments, on-site 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 | Klaviyo | Omniconvert Explore |
|---|---|---|---|
| Primary function | Privacy-first general-website A/B testing | eCommerce email and SMS marketing automation | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual and code editor | Partial on messages, campaigns and flows, not on-site | Yes visual plus code editor |
| Multivariate testing | Yes | No | Yes |
| Server-side testing | Yes | No | Yes |
| Visual editor | Yes web page editor | Partial email and SMS editor, not on-site | Yes on-site visual plus code editor |
| On-site surveys and overlays | No needs third-party tools | Partial sign-up forms and popups for list capture | Yes surveys and overlays built in |
| Shopify integration | Medium not native, manual setup | High deep native sync for messaging | Yes native for on-site experiments |
| eCommerce focus | Medium agency and mid-market web | High DTC and Shopify messaging | High built for store revenue workflows |
| Revenue per visitor measurement | No generic conversion metrics | No message revenue, not on-site RPV | Yes revenue per visitor and order rate native |
| Pricing model | Session-based, from $299/mo, free trial | Per active profile, free tier, paid from $20/mo (counts cold and suppressed since Feb 2025) | Session-based, built for store traffic, free trial |
| Best for | CRO agencies wanting privacy-first testing | Shopify brands running eCommerce email and SMS automation | Shopify and eCommerce teams optimizing on-site revenue |
| User rating | 4.7 out of 5 (G2, 139 reviews, as of 2026) | No public G2 rating | 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. Klaviyo's active-profile billing change took effect on February 18, 2025. 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 Klaviyo?
Start with the surface where your revenue is decided. If you need privacy-first testing on general web pages, keep Convert. If you run eCommerce email and SMS automation, keep Klaviyo, it is a different job from on-site testing. For a Shopify store deciding where to spend the next optimization dollar on the on-site experience, run the next test in Explore, on the product-to-checkout path, measured in revenue per visitor.
Convert and Klaviyo are both capable tools in their categories. Convert is transparent, privacy-first, and agency-friendly. Klaviyo is the Shopify-native leader for eCommerce email and SMS, with deep store data driving its segmentation and automated flows.
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, an open, or an attributed message revenue number. 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 191 reviews, G2 , as of 2026