Concepts referenced in this article, defined.
Run rigorous A/B tests and personalize every visit on Shopify or any storefront โ no engineers required.
Both CustomFit.ai and Visually.io are Shopify-native CRO tools, but they serve different depths of need. CustomFit.ai covers the full A/B testing and personalization stack โ visual editor, AI-driven traffic allocation, 1000+ audience segments, and D2C-native metrics like revenue per visitor and average order value. Visually.io focuses primarily on product page personalization and upsell widgets rather than comprehensive experiment management. If you want to run structured experiments across your entire Shopify storefront with statistical rigor, CustomFit.ai is the stronger choice.
| Feature | CustomFit.ai | Visually.io |
|---|---|---|
| Shopify native integration | โ | โ |
| No-code visual editor | โ | โ |
| D2C/ecommerce metrics (AOV, RPV) | โ | Partial (product-level focus) |
| AI-powered optimization | โ | Limited |
| Full A/B testing with statistical significance | โ | Limited |
| Audience segmentation (1000+ attributes) | โ | Basic |
| 14-day free trial | โ | โ |
| Starting price | $99/mo | ~$99/mo |
| Developer required | No | No |
| Works beyond Shopify (JS snippet) | โ | Shopify only |
| ISO 27001 / SOC 2 / GDPR | โ | Not publicly documented |
Both tools install from the Shopify App Store without developer help. CustomFit.ai's one-click install connects to your Shopify theme and immediately starts tracking conversion rate events โ add-to-cart, checkout initiation, purchase. You're typically running your first experiment within 30 minutes.
Visually.io also onboards quickly and is particularly fast if your primary goal is adding product page widgets or upsell flows. It's optimized for that narrow use case. If you want to test page layouts, navigation, hero sections, or site-wide personalization flows, the setup becomes more constrained.
CustomFit.ai's no-code visual editor works more like a design tool โ you point, click, and modify any element on the page without touching code. This matters when your team includes marketers and merchandisers who need to run tests independently.
CustomFit.ai is purpose-built for structured experimentation. You can run:
Statistical significance is calculated automatically and displayed in plain language. CustomFit.ai averages an 11% conversion rate increase across its customer base, with brands like Bellavita achieving 11% CVR lift and Kapiva 9.48% CVR improvement.
Visually.io's testing capabilities are narrower. It excels at product page widgets and personalized upsell recommendations, but it's not positioned as a full experimentation platform. Running a hypothesis-driven test on, say, your checkout copy or navigation structure would push beyond its core design.
CustomFit.ai's personalization engine draws on 1000+ targeting attributes: traffic source, device type, geolocation, purchase history, session depth, cart value, and behavioral signals like predictive buyer intent. You can show different versions of your homepage to first-time visitors from paid ads versus returning customers who abandoned a cart.
This is the type of deep personalization that enterprise tools charge $30,000+/year for. CustomFit.ai makes it accessible starting at $99/month.
Visually.io's personalization is primarily product-recommendation-driven โ surfacing relevant upsells and cross-sells based on what a visitor is viewing. That's genuinely valuable for AOV, but it's a subset of what a full personalization platform provides.
CustomFit.ai tracks the metrics D2C brands actually care about: revenue per visitor, average order value, add-to-cart rate, and conversion rate โ all in real time, segmented by variant. You can see exactly how much incremental revenue a winning variant generates, not just a percentage lift.
The platform also integrates with Google Analytics 4, Klaviyo, and other tools in your Shopify stack to give you attribution context alongside experiment results.
Visually.io reporting is product-centric โ it shows widget performance and recommendation click-through rates well but doesn't surface site-wide experiment analytics at the same depth.
| Plan | CustomFit.ai | Visually.io |
|---|---|---|
| Starter | $99/mo (50K MUV) | ~$99/mo (varies by plan) |
| Growth | $249/mo (100K MUV) | Custom |
| Enterprise | Custom | Custom |
| Free trial | 14 days, no credit card | Available |
CustomFit.ai's pricing is transparent and tied to monthly unique visitors (MUV), making it predictable as you scale. There are no per-experiment fees or feature gating on higher-tier capabilities.
Visually.io is a good fit if your primary CRO objective is product page upselling and cross-selling. If you're an early-stage Shopify brand that wants to add smart product recommendations and bundles quickly, and you're not yet running hypothesis-driven experiments across your full site, Visually.io's focused feature set can get you results fast. It's a narrower tool, which means less complexity when your needs are narrow.
If you're currently on Visually.io and want to move to CustomFit.ai:
Most teams complete migration in one working day.
Is CustomFit.ai better than Visually.io for Shopify A/B testing? Yes, if you need full-featured experimentation โ CustomFit.ai supports A/B/n tests, multivariate tests, split URL tests, and AI-driven traffic allocation across all Shopify page types, which goes well beyond Visually.io's widget-focused testing.
Does Visually.io work outside Shopify? Visually.io is Shopify-specific. CustomFit.ai works on Shopify via one-click install and on any other platform (WooCommerce, BigCommerce, custom sites) via a JavaScript snippet.
Can CustomFit.ai replace Visually.io's product recommendations? CustomFit.ai's personalization engine can serve different product page content to different audience segments, effectively replicating and extending what Visually.io does with recommendations, while also giving you experimental rigor to measure what actually converts.
How does statistical significance work in CustomFit.ai? CustomFit.ai automatically calculates statistical significance for each experiment and surfaces it in plain language โ you don't need a statistics background to interpret results. Tests run until they reach a confidence threshold you set (typically 95%).
What D2C metrics does CustomFit.ai track that Visually.io doesn't? CustomFit.ai tracks revenue per visitor, AOV uplift per variant, add-to-cart rate by segment, and checkout abandonment โ all tied directly to experiment variants. This lets you quantify the exact revenue impact of each test.
How long does it take to see results with CustomFit.ai? Most brands see statistically significant results within 2โ4 weeks on their first experiment, depending on traffic volume. CustomFit.ai's AI-driven traffic allocation means winning variants get more traffic during the test, so you capture revenue uplift even before declaring a winner.