Conductrics vs Evergage vs Explore (2026): Shopify Blind Spot
Conductrics is an API-first experimentation platform for data science and engineering teams that embed testing into their own applications. Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization suite. 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 clicks.
- Conductrics is an API-first experimentation platform for data science and engineering teams, with a 4.3 out of 5 G2 rating across 12 reviews. [G2, 2026]
- Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization suite with a 4.3 out of 5 G2 rating across 94 reviews. [G2, 2026]
- Conductrics and Evergage solve different jobs, developer-first testing and enterprise personalization, and are rarely direct substitutes for each other.
- Neither is built around the Shopify checkout or measures results in revenue per visitor, 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 Conductrics vs Evergage are weighing two different trade-offs: a developer-only API toolkit against an enterprise personalization suite. Conductrics gives data scientists programmatic control and multi-armed bandit optimization, but requires engineering effort for every setup. Evergage delivers real-time one-to-one personalization at scale, inside Salesforce. Neither is self-serve for a Shopify store testing where revenue actually closes, which is the job Omniconvert Explore was built for.
What is Conductrics, and what is it actually good at?
Conductrics is an API-first experimentation platform for data science and engineering teams. It supports multi-armed bandit optimization, adaptive targeting, and programmatic integration through code, and is used where testing is embedded directly inside a product rather than run from a marketer's UI. [Conductrics, 2026]
Conductrics holds a 4.3 out of 5 rating on G2 across 12 reviews. [G2, 2026] Its reputation sits with technical teams who want programmatic experiment control inside their own code, not a visual editor and a dashboard.
The category Conductrics sits in is developer-first optimization. The platform exposes experimentation as an API that engineers call from their application, and ships multi-armed bandit algorithms that reallocate traffic as results come in. That focus is the point of the product.
API-first experimentation means the platform exposes testing primitives as code endpoints that engineers call from their application, rather than a visual editor used by a marketer. Conductrics is built on this model. It is a developer workflow, distinct from running a self-serve A/B test on a Shopify store surface.
Where Conductrics is genuinely strong
- Programmatic API control: experimentation embedded directly in application code, suited to engineering teams.
- Multi-armed bandit optimization: adaptive traffic allocation that shifts weight toward winning variants during the test.
- Server-side testing by default: tests run server-side, avoiding client-side flicker and blocking.
- Developer-friendly integration: SDKs and APIs that fit a code-first development workflow.
Where Conductrics hits its ceiling for an eCommerce store
- No visual editor: every test needs developer time, so marketing-led teams cannot run their own experiments.
- Low brand recognition: minimal public documentation and community compared to competitors, which slows onboarding.
- No native Shopify integration: no store-specific templates, so Shopify setups are custom work.
- Generic event model: no built-in revenue per visitor metric for the product-to-checkout path.
What is Evergage, and what is it actually good at?
Evergage, now Salesforce Marketing Cloud Personalization, is an enterprise real-time personalization platform. Its machine learning builds a live profile of each visitor to serve individualized product and content recommendations across web, email, mobile, and in-store, connected to the Salesforce CDP. [G2, 2026]
Evergage is a personalization engine first and a testing tool second. It was named a G2 Leader for personalization engines, holding a 4.3 out of 5 rating across 94 reviews. [G2, 2026] Its strength is delivering the right experience to the right visitor in the moment, at scale.
Its A/B and multivariate testing exists to validate personalization campaigns: which rule, audience, or recommendation performs best. That is a different job from running a standalone conversion experiment program on a Shopify checkout.
Real-time personalization adapts what a visitor sees based on a live behavioral profile, serving individualized content and recommendations as they browse. Evergage does this across channels inside the Salesforce ecosystem. It is an enterprise capability, distinct from running controlled revenue experiments on product, cart, and checkout pages.
Where Evergage is genuinely strong
- Real-time one-to-one personalization: machine learning, not static rules alone, driving individualized experiences.
- Recommendations at scale: machine-learning product and content recommendations across many channels.
- Deep behavioral analytics: rich segmentation connected to the Salesforce CDP and Marketing Cloud.
- Enterprise omnichannel reach: web, email, mobile apps, onsite search, and in-store touchpoints.
Where Evergage hits its ceiling for a single store
- Enterprise implementation: needs technical resources, so it is rarely self-serve for one eCommerce team.
- Custom enterprise pricing: value depends on the broader Salesforce stack, not a standalone store budget.
- Testing serves personalization: A/B testing validates campaigns, not a revenue experiment program.
- No native Shopify checkout: no checkout-level experiment templates for the Shopify funnel.
What Conductrics and Evergage cannot do for an eCommerce store
Conductrics and Evergage are built for different jobs, developer-first testing and enterprise 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 metric that matters there: revenue per visitor.
Conductrics is built for engineers embedding optimization into their own applications. With no visual editor and no native Shopify integration, every experiment on a storefront is custom API work. A marketing team cannot own the test, and revenue per visitor is not a native experiment metric. The work of connecting a winning variant to checkout revenue still happens by hand.
Evergage is built for enterprise marketing teams running real-time personalization across many channels, usually inside the Salesforce ecosystem. Its testing validates personalization rules rather than revenue-per-visitor experiments on product, cart, and checkout. A Shopify store evaluating it takes on enterprise implementation and custom pricing when what it often needs is a focused eCommerce experimentation platform. For the wider debate behind this testing-versus-personalization split, see Has personalization replaced A/B testing?
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 actually decided, or around the Customer Value Optimization question: whether a result holds for high-value, repeat buyers.
There is a second gap underneath the first: the data insights layer that tells a team what to test and whether it actually worked. Conductrics ships an API toolkit, not a self-serve CRO suite, so heatmaps, session recordings, and on-site surveys come from third-party tools the engineering team has to stitch together. Evergage holds deep behavioral data, but it lives inside an enterprise Salesforce deployment most single Shopify stores will never run. 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. 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 visible and 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 an API toolkit 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 what the title means by the Shopify blind spot. 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 Conductrics and Evergage are not built to answer, and the one Explore is. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Conductrics vs Evergage vs Explore: the capability comparison
Side by side, the three tools serve different layers. Conductrics runs programmatic API-first experiments for engineering teams. Evergage personalizes experiences for enterprises inside Salesforce. 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 | Conductrics | Evergage | Omniconvert Explore |
|---|---|---|---|
| Primary function | API-first developer experimentation | Enterprise real-time personalization | eCommerce CRO on product, cart, and checkout |
| A/B testing | Yes API-first, no visual editor | Yes within personalization campaigns | Yes visual plus code editor |
| Multivariate testing | No | Yes | Yes |
| Server-side testing | Yes native | Yes via SDK | Yes |
| Visual editor | No code only | Yes | Yes |
| On-site surveys and overlays | No needs third-party tools | No personalization, not surveys | Yes surveys and overlays built in |
| Shopify integration | Low custom API work | Low enterprise implementation | Yes native |
| eCommerce focus | Low developer tooling | Medium enterprise personalization | High built for store revenue workflows |
| Pricing model | Custom, quote on request | Custom enterprise, quote on request | Session-based, built for store traffic, free trial |
| Best for | Data science and engineering teams wanting programmatic experimentation | Enterprise teams in the Salesforce ecosystem | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.3 out of 5 (G2, 12 reviews, as of 2026) | 4.3 out of 5 (G2, 94 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. Evergage is now Salesforce Marketing Cloud Personalization. Explore uses session-based pricing; see the Explore 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 Conductrics or Evergage?
Decide by the shape of your testing team. If your experiments live inside your own application and your data scientists want multi-armed bandit control through code, keep Conductrics. If you run enterprise personalization inside Salesforce, Evergage earns its place. For a Shopify store that needs a self-serve experiment program on product, cart, and checkout, pick Explore and run the next test on the surface where the money actually moves, measured in revenue per visitor.
Conductrics and Evergage are both capable platforms with real strengths. Conductrics is one of the few tools built for programmatic, bandit-driven experimentation embedded directly in application code. Evergage is a G2 Leader for enterprise personalization inside the Salesforce ecosystem.
The question for a Shopify store is narrower. Can your team launch a checkout experiment, read the result in revenue per visitor, and iterate without API work or an enterprise contract? 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