The right product. The right content.
Every time.

Collaborative filtering, content-based (semantic similarity), trending/bestsellers, recently-viewed, frequently-bought-together, complete-the-look, and full AI auto-blending that picks the best mix per visitor automatically. Each scenario has a sensible default; you can override per widget.

Personyze is fully platform-agnostic. It works on top of any CMS, e-commerce platform, or web framework — including Shopify, Magento, BigCommerce, WooCommerce, Salesforce Commerce, WordPress, Webflow, custom React or Vue apps, and headless setups. Integration is a single JavaScript snippet, with no database changes or replatforming required.

For data, Personyze plugs into your existing martech stack: Google Analytics 4, Mixpanel, Segment, Amplitude, HubSpot, Salesforce, Marketo, ActiveCampaign, and any tool that exposes a REST API or supports webhooks. You can pull visitor signals via product feeds, CRM syncs, CDP integrations, or custom JavaScript — whichever fits your architecture.

Most teams see meaningful lift in the first 7–14 days. Trending and bestseller widgets work from day one. Personalized algorithms need a small history of clicks & conversions to tune themselves — usually about a week of normal traffic.

New products are surfaced via content-based similarity (matching attributes, category, price band, description) until they accumulate enough behavioral data to enter the collaborative model. You can also boost them manually.

Under 50ms p95 from a global edge CDN. Recs render before the page paints — no flicker, no lazy-load delay. Architected for high-traffic sites with millions of monthly visitors.

Yes. Built-in A/B testing with traffic splits, real-time stats, and auto-promotion at statistical significance (95% confidence by default). Test algorithms, widget placements, copy, layouts, or rec counts. Auto-deploy the winner the moment significance hits.

Yes. Use our JS SDK, REST API, or GraphQL endpoint to fetch recs server-side or client-side. Works with Next.js, Remix, custom React/Vue/Svelte, native iOS/Android apps, and any backend stack.

Every rec impression and click is attributed to a real order via cart-level tracking. We tie back to actual closed orders, not just clicks — with last-click and assisted-revenue models. Custom KPIs supported.

Yes. Content recommendations are a first-class use case — related articles, popular reads, topic clusters, editor’s picks, “you might also like.” Common for publishers, knowledge bases, learning platforms, and media sites.

Fully. Widgets ship with 20+ templates you can theme to match your brand, or you can write custom HTML/CSS. Inherits your site fonts, colors, and spacing automatically. Use our visual editor or your own designer.

Yes. Recs compute at the moment the email is opened — not at send time. So if your visitor browsed something new between send and open, the email reflects it. Compatible with Mailchimp, Klaviyo, HubSpot, Salesforce Marketing Cloud, and any SMTP-based ESP.

Personyze is GDPR-compliant and CCPA-compliant. Cookie-less recommendations are available for jurisdictions with stricter requirements. Anonymous-visitor recs are based on session behavior; identified-visitor recs respect whatever consent your CMP tracks.

Pricing scales with monthly visitors and active campaigns — not catalog size or rec impressions. Enterprise plans include dedicated CSM and white-glove onboarding. 30-day money-back guarantee, no annual lock-in.

Yes — it’s one engine shared across the whole platform. The same recommendations can render inside open-time emails sent through your existing ESP, the visitor signals that power them come from behavioral targeting, and you can A/B test algorithms and placements against each other to prove revenue lift. One tag, one visitor profile, every channel.