Recommend the right thing. Every time.
AI-powered product and content recommendations that learn what each visitor wants — and serve it across web, email, mobile, and ads in milliseconds.
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Recommend products. Surface content. Convert both.
Whether you sell products or publish articles, Personyze adapts to every visitor in real time — lifting AOV for retailers and time-on-site for publishers.
Product Recommendations
Show every shopper the products they’re most likely to buy — on PDPs, category pages, cart, checkout, and post-purchase.
- Bestsellers, new arrivals, related, similar items
- Frequently bought together, complete-the-look
- AI-ranked by purchase intent in real time
Content Recommendations
Keep readers reading. Surface the next article, video, or guide that matches what they’re into — based on topic, behavior, and intent.
- Related articles, popular reads, editor’s picks
- Topic clustering & semantic similarity
- Cross-format recs (article → video → podcast)
Recommendation Badges
Layer dynamic badges over recommendations to drive urgency and trust — trending, low stock, social proof, price drops, new arrivals.
- “Trending” · “3 left” · “Just added”
- Bestseller · Editor’s pick · Top rated
- Real-time inventory & behavioral signals
Same Recs Everywhere
One recommendation engine, every channel. The same personalized picks follow your visitor from web to email to push notifications — coherent, never duplicated.
- Web, email, push, mobile app from one engine
- Open-time rendering for emails — never stale
- Frequency caps prevent same-product fatigue
A recommendation for every scenario.
Pick the right algorithm for the right moment — whether you're powering site widgets, open-time email recs, mobile, or your own API. Personyze handles the data and the math to put the right product in front of every visitor.
From product feed to live recommendation in five steps.
Set up once, then let the engine learn and improve. No data engineers, no ML team, no rebuilds — just measurable lift on day one.
Connect your catalog
Sync product or content data via Shopify, Magento, WooCommerce, BigCommerce, or any REST API. We handle inventory updates, pricing, attributes, and stock in real time.
Choose context & segment
Pick the page (PDP, category, cart, article, homepage) and the visitor segment (new, returning, high-value, mobile, etc). Or run for everyone.
Pick the algorithm or let AI decide
Collaborative filtering, content-based, frequently-bought-together, trending, recently-viewed, or full AI auto-blending. Each scenario has a recommended default.
Preview, simulate, then go live
Test recommendations in our Sandbox simulator with real visitor data. Share preview links with stakeholders. Roll out by traffic percentage when you’re ready.
Recommendations served in milliseconds
Every visitor gets the right products, articles, or content for them — computed in under 50ms and tracked back to revenue. The engine learns and improves automatically.
Test smarter. Win automatically.
Test generic recommendations against AI-personalized picks head-to-head. Auto-optimization promotes the winner the moment it hits significance.
Make every widget feel alive.
Layer dynamic badges and personal tags on top of any recommendation. Build trust with social proof, urgency with scarcity, and warmth with personal touches — all powered by your existing data.
Auto-tag items in the top X% by sales for any time window. No manual flagging.
"#1 in Cameras"
Surface items in the top X% by views or add-to-carts — before they peak in sales.
"Trending in your category"
Tag items added in the last X days. Threshold tunable per category or store-wide.
"Just dropped"
Surface real-time interest. Pull viewer counts, recent buyers, and ratings live.
"1,247 bought this week"
Pull live stock from your inventory feed. Show "only X left" without hardcoding.
"Selling fast in your size"
Auto-flag price-drops on items each visitor previously viewed. Add countdown timers.
"Ends in 02:14:33"
Drop dynamic tokens into any title. Pulled from CRM, geo-IP, or behavioral data.
"Popular in Visitor_City"
Track every click. Prove every dollar.
See exactly which recommendations drive revenue, by widget, page, algorithm, and segment. Attribution that ties recs to actual closed orders.
Everything you need to run recommendations.
From step-by-step onboarding to ROI tracking, every piece of the recs workflow lives in one platform — backed by a team that’s been doing this since 2008.
Book a strategy call →-
Step-by-step onboarding
Catalog connection, widget placement, algorithm selection, and first-go-live — all guided by a dedicated success manager. Most teams ship recs within 5 days.
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Customizable widgets
20+ widget types — carousels, grids, stripes, popups, banners — all themeable to match your brand. No design or dev needed.
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API & integrations
Native connectors for Shopify, Magento, WooCommerce, BigCommerce, Salesforce, HubSpot — or roll your own with our API and webhooks.
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Revenue & ROI tracking
Every rec click tied to a real order. See revenue by widget, page, algorithm, and segment. Custom KPIs for whatever your team measures on.
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Set and forget
Algorithms self-tune based on performance. The engine learns from clicks, conversions, and revenue and continuously improves — no manual retraining.
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Flexible billing
True pay-as-you-go. Pricing scales with monthly visitors and active campaigns — not by catalog size or rec impressions. 30-day money-back guarantee.
Go deeper.
Playbooks, guides, and case studies on building recommendations that actually move revenue — for both e-commerce and publishers.
Product Recommendations Playbook
The end-to-end e-commerce guide: which widgets to put where, which algorithms to use, and how to measure lift.
Read playbook → PlaybookContent Recommendations Playbook
For publishers: how to keep readers reading with related, popular, and personalized article recs.
Read playbook → GuideOpen-Time Email Recs
How to send recommendations that compute at email open — not at send time. The difference can double CTR.
Read guide → ExamplesLive Recommendation Examples
Real Personyze customers and the recommendation widgets they run — with screenshots, configurations, and lift numbers.
View examples →Direct answers. No fluff.
The questions teams ask most when evaluating a recommendation engine. Got something else? Bring it to the call.
Browse the help center →Which algorithms do you support?
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.
What platforms does Personyze work with?
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.
How long until recommendations start performing?
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.
How do you handle new products with no history? (Cold-start)
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.
What’s the response time for serving recommendations?
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.
Can I A/B test recommendations?
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.
Does it work with headless commerce?
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.
How do you track revenue from recommendations?
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.
Do you work for content sites without products?
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.
Can I customize the look of the widgets?
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.
What about open-time email recommendations?
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.
GDPR, CCPA, privacy?
Personyze is GDPR-compliant, CCPA-compliant, and SOC 2 Type II certified. 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.
How does pricing work?
Plans start at $149/month. 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.
Recommend the right thing. Every time.
AI-powered recommendations that learn what every visitor wants — and serve it across web, email, mobile, and ads in milliseconds.