Convert.com vs Dynamic Yield vs Explore (2026): Neither Built for Shopify
Convert.com is a privacy-first A/B testing tool built for CRO agencies and mid-market teams. Dynamic Yield is an enterprise personalisation and testing suite owned by Mastercard. Neither is built around the Shopify checkout. Omniconvert Explore runs A/B, multivariate, and personalization experiments natively on product, cart, and checkout, and measures the outcome in revenue per visitor.
- Convert.com is a privacy-first A/B testing platform for CRO agencies and mid-market teams, with a 4.7 out of 5 G2 rating and published session-based pricing from $299 per month. [G2, 2026]
- Dynamic Yield is an enterprise personalisation and testing suite owned by Mastercard, used by IKEA and McDonald's, with a 4.5 out of 5 G2 rating and custom enterprise contracts. [G2, 2026]
- Convert.com and Dynamic Yield solve different jobs, agency A/B testing and enterprise personalisation, but they share one blind spot for a Shopify store: neither is a self-serve, checkout-native experimentation platform priced for a mid-market brand.
- Explore is native to Shopify, priced on sessions, and reports outcomes in revenue per visitor and order rate rather than generic conversion rate.
- Across the 7,000+ eCommerce websites in the CROBenchmark Report 2026, the largest revenue leaks sit in checkout structure, not landing-page copy: 99.6% of stores fail to make guest checkout prominent, and 94.2% never show checkout progress. [CROBenchmark Report 2026, Omniconvert]
The Convert.com vs Dynamic Yield decision sounds like a scale question: agency-friendly A/B testing on one side, enterprise personalisation on the other. For a Shopify or DTC brand doing $1M to $50M in revenue, both tools sit at the wrong end of the shelf. Convert.com is priced and shaped for agencies; Dynamic Yield needs a six-figure contract and a developer team. Omniconvert Explore is what sits in between, built around product pages, cart, and checkout on Shopify.
What is Convert.com, and what is it actually good at?
Convert.com is a privacy-first A/B testing platform for CRO agencies and mid-market teams. It supports multivariate testing, advanced targeting, and Google Analytics integration, with transparent session-based pricing starting at $299 per month and a hard no-third-party-data-sharing stance. [Convert.com, 2026]
Convert.com has been in the A/B testing category for over a decade and has built its reputation with CRO agencies for one reason: it takes privacy and pricing transparency seriously. Published pricing tiers, no data sharing with third parties, and agency-friendly account structures that let a consultancy run tests across many client sites in one console. That is a genuine strength, not marketing copy.
Convert.com holds a 4.7 out of 5 G2 rating across 139 reviews. [G2, 2026] Reviewers consistently name customer support and pricing transparency as the reasons they stay, and the tool ranks near the top of the category for both.
Privacy-first A/B testing is an experimentation approach that runs experiments without sharing visitor data with third-party analytics networks or ad platforms, and keeps data collection to what an experiment strictly needs. It is a data-handling stance, distinct from running a controlled revenue experiment on the product, cart, and checkout surfaces of an online store.
Where Convert.com is genuinely strong
- Agency-friendly account structure: multiple client sites, shared assets, and per-project billing, which is where it differentiates from VWO and Optimizely.
- Transparent session-based pricing: published tiers from $299 per month, so a buyer can price a plan without calling sales.
- Strong privacy stance: no data sharing with third parties, useful under GDPR and healthcare-adjacent compliance rules.
- Multivariate testing and advanced targeting: full MVT support, segmentation on device, geography, and behaviour, and native GA integration.
- Customer support: ranked at the top of the category by G2 reviewers.
Where Convert.com hits its ceiling for a Shopify store
- No native Shopify integration: tests on product pages, cart, and checkout require manual implementation, so a developer is on the critical path.
- No eCommerce experiment templates: the template library is built around generic web pages, not variant selectors, cart drawers, or checkout steps.
- Revenue per visitor is not native: results ship in conversion rate and clicks, so revenue per visitor gets stitched together in Google Analytics after the fact.
- No built-in behavioural analysis: heatmaps and session recordings need Hotjar or Microsoft Clarity alongside.
- Visual editor is functional, not polished: non-technical users hit the WYSIWYG ceiling faster than they do on VWO.
What is Dynamic Yield, and what is it actually good at?
Dynamic Yield is one of the most advanced eCommerce personalisation platforms in market, owned by Mastercard and used by IKEA, McDonald's, and other enterprise retailers. It combines product recommendations, experience optimisation, and A/B testing across web, mobile, and email, and its ceiling is the price and implementation effort a mid-market Shopify team cannot absorb. [G2, 2026]
Dynamic Yield is not a testing tool with personalisation bolted on; it is a personalisation platform that also runs experiments. The recommendation engine, real-time segmentation, and cross-channel orchestration are the point. Mastercard's 2022 acquisition brought additional data resources and enterprise credibility, and the reference customer list is a who's-who of global retail.
Dynamic Yield holds a 4.5 out of 5 G2 rating across 200 reviews. [G2, 2026] Reviewers rate the personalisation depth and enterprise-grade infrastructure, and flag setup complexity as the tradeoff.
Enterprise personalisation is the practice of tailoring on-site content, product recommendations, and offers in real time to a segmented visitor, backed by a customer data model that spans channels. It is a delivery and orchestration layer, distinct from running a controlled revenue experiment on the product, cart, and checkout surfaces of a specific store.
Where Dynamic Yield is genuinely strong
- Product recommendation engine: real-time algorithms for cross-sell, upsell, and category-page merchandising, at enterprise scale.
- Cross-channel experience optimisation: web, mobile app, and email personalisation from a single audience model.
- Enterprise data resources: since the Mastercard acquisition, the platform has access to signals most personalisation vendors cannot match.
- Full experimentation stack: server-side testing, multivariate, visual editor, and personalisation experiments in one console.
- Reference customers: IKEA, McDonald's, and large retail brands run on the platform, and the case-study library reflects that scale.
Where Dynamic Yield hits its ceiling for a mid-market Shopify store
- Enterprise-only pricing: custom contracts, typically in the five-figure annual range. A Shopify brand at $1M to $10M ARR cannot get in the door.
- Implementation is a project, not a switch: setup needs dedicated developer resources and a data-modelling phase before the first experience ships.
- Over-specified for testing-only teams: if the job is A/B tests on the checkout, the full personalisation stack is more platform than the team needs.
- Self-serve is not the design: a mid-market growth team cannot operate the platform without an internal specialist or an implementation partner.
- Shopify is a supported path, not the primary one: the reference architecture is built around large enterprise commerce stacks, not the Shopify catalog.
What Convert.com and Dynamic Yield cannot do for an eCommerce store
Convert.com and Dynamic Yield are strong tools in their own categories, but they share the same blind spot for a mid-market Shopify brand. Neither is built as a self-serve, eCommerce-native experimentation platform priced for a store. One is a general web tester without native checkout access; the other is an enterprise suite behind a six-figure contract.
Convert.com is built for CRO practitioners running tests on general websites. It does not have native Shopify integration or purpose-built eCommerce experiment flows. Teams using Convert.com for Shopify CRO must handle checkout testing through manual implementation and cannot use revenue per visitor as a native experiment metric.
Dynamic Yield is an enterprise platform built for large retail organisations with dedicated personalisation teams. It is not designed for mid-market Shopify brands running self-serve CRO experiments. The implementation complexity and pricing make it inaccessible for eCommerce teams that need to run tests on product pages and checkout flows without a six-figure contract and a developer team.
Most experimentation tools are built around a generic web page and a generic conversion event. They optimise the execution of a test. They are not built around the surfaces where eCommerce revenue is actually won or lost (product pages, cart, and checkout) or around the metric that matters to a store: revenue per visitor, not a click. For more on the testing-versus-personalisation split behind this gap, see Has personalization replaced A/B testing?
eCommerce conversion rate optimization 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 Convert.com nor Dynamic Yield can tell an eCommerce team
- Did the win move revenue and order rate. Whether a winning variant lifted revenue per visitor and order rate, not just a click or a micro-conversion. Both tools report clicks and conversion rate natively; revenue is stitched together later.
- Which surface to test first. Which pages in the funnel, product, cart, or checkout, carry the highest revenue impact if tested next. Convert.com has generic templates; Dynamic Yield's prioritisation is built for enterprise merchandising, not a mid-market growth team.
- How it behaves in Shopify checkout. How an experiment interacts with the Shopify catalog, variants, and checkout flow natively, without engineering glue work. Convert.com needs a developer for checkout; Dynamic Yield needs an implementation project.
- Whether it holds for high-value customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session visitors. Neither tool reports on it natively.
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 general A/B tester or an enterprise personalisation 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. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
AliveCor used 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.com vs Dynamic Yield vs Explore: the capability comparison
Side by side, the three tools sit on different layers. Convert.com wins on transparent agency-friendly pricing and privacy posture. Dynamic Yield wins on personalisation depth and enterprise scale. Explore wins on native Shopify checkout testing, built-in surveys and overlays, and revenue-per-visitor measurement. See A/B testing with Explore for how those experiments run on the Shopify funnel.
| Capability | Convert.com | Dynamic Yield | Omniconvert Explore |
|---|---|---|---|
| Primary function | Privacy-first agency A/B testing | Enterprise real-time personalisation and testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes visual editor | Yes visual editor plus personalisation engine | Yes visual and code editor, eCommerce templates |
| Multivariate testing | Yes | Yes | Yes |
| Server-side testing | Yes | Yes at enterprise scale | Yes |
| Visual editor | Partial functional, less polished than VWO | Yes enterprise-grade editor | Yes WYSIWYG built for eCommerce templates |
| On-site surveys and overlays | No needs third-party tools | Partial personalisation experiences, not native surveys | Yes surveys and overlays built in |
| Shopify integration | Medium not native, manual setup | High supported, not the primary architecture | Yes native to catalog, variants, and checkout |
| eCommerce focus | Medium general web CRO | High enterprise retail personalisation | High eCommerce CRO is the category |
| Revenue per visitor measurement | No generic conversion metrics | No personalisation KPIs | Yes revenue per visitor and order rate native |
| Pricing model | Session-based, from $299/mo, free trial | Custom enterprise, contact sales, no free trial | Session-based, priced for store traffic, free trial |
| Best for | CRO agencies and mid-market general-web testing | Enterprise retail with a personalisation team | Mid-market Shopify and DTC brands, $1M to $50M ARR |
| User rating | 4.7 out of 5 (G2, 139 reviews, as of 2026) | 4.5 out of 5 (G2, 200 reviews, as of 2026) | 4.6 out of 5 (G2, 191 reviews, as of 2026) |
Yes / Partial / No reflects fit for a mid-market Shopify or DTC store running self-serve CRO. Enterprise teams reading this should weight the Dynamic Yield column differently. Competitor ratings, pricing, and plan details reflect publicly listed figures as of 2026 and can change.
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.com or Dynamic Yield?
For a mid-market Shopify or DTC brand testing product pages, cart, and checkout, pick Explore. Convert.com is the right pick for a CRO agency running general-web tests with transparent pricing. Dynamic Yield is the right pick for an enterprise retailer with a personalisation team and a six-figure budget. Almost no team needs all three; Explore is built for the store, not the agency or the enterprise.
If your team is under $50M ARR on Shopify and you are choosing an experimentation platform, the decision is not really Convert.com versus Dynamic Yield. The decision is whether to buy a general web tester, a full enterprise personalisation stack, or a platform designed for the exact revenue surfaces you are trying to optimise. Explore is the last option.
If you already run Convert.com for agency work, keep it. If you already run Dynamic Yield inside an enterprise, keep it. Add Explore when you need native Shopify checkout testing and want experiment outcomes measured in revenue per visitor, not clicks.
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