20-minute walkthrough with 2–3 personalized examples on your real pages.
Email, chat, or 24/7 phone support included on every paid plan.
AI content recommendations that learn what each visitor wants to read next — and surface the right articles, videos, and products across web, email, and mobile in milliseconds. One content recommendation platform for publishers and e-commerce alike.
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Whether you publish articles or sell products, Personyze’s content recommendation engine adapts to every visitor in real time — lifting time-on-site and pages-per-session for publishers, and AOV for retailers.
Keep viewers watching — surface the next episode, film, or clip each viewer is most likely to play, on the home rail, the player, and the end screen.
Keep readers reading. Surface the next article, video, or guide that matches what they’re into — based on topic, behavior, and intent.
Layer dynamic badges over recommendations to drive engagement and trust — trending, fresh, social proof, editor’s picks, new this week.
One recommendation engine, every channel. The same personalized picks follow your visitor from web to email to push notifications — coherent, never duplicated.
Pick the right algorithm for the right moment — whether you're powering content recommendation widgets, open-time email recs, mobile feeds, or your own API. Personyze handles the data and the math to put the right article, video, or product in front of every visitor.
Set up once, then let the engine learn and improve. No data engineers, no ML team, no rebuilds — just measurable lift on day one.
Sync your articles, videos, or product catalog via your CMS, Shopify, Magento, WooCommerce, BigCommerce, or any REST API. We keep content, attributes, pricing, and stock fresh in real time.
Pick the channel and placement (homepage, article or blog page, email, or push) and the visitor segment (new, returning, engaged readers, mobile, etc). Or run for everyone.
Collaborative filtering, content-based, frequently-bought-together, trending, recently-viewed, or full AI auto-blending. Each scenario has a recommended default.
Test recommendations in our Sandbox simulator with real visitor data. Share preview links with stakeholders. Roll out by traffic percentage when you’re ready.
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 a generic “most popular” module against AI-personalized article recommendations head-to-head. Auto-optimization promotes the winner the moment it hits significance.
Layer dynamic badges and personal tags on top of any recommendation. Build trust with social proof, urgency with freshness, and warmth with personal touches — all powered by your existing data.
Auto-tag content in the top X% by reads or views for any time window. No manual flagging.
Surface content in the top X% by views or shares — before it peaks in reach.
Tag articles or videos published in the last X days. Threshold tunable per category or site-wide.
Surface real-time interest. Pull live reader counts, recent readers, and ratings.
Surface content with the fastest-rising engagement right now — auto-updated as interest shifts.
Auto-flag articles updated or republished since a reader last visited — so they always see what’s new.
Drop dynamic tokens into any title. Pulled from CRM, geo-IP, or behavioral data.
See exactly which content recommendations drive engagement — by widget, page, algorithm, and segment. Attribution that ties every recommendation to time-on-site, pages per session, and return visits.
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.
Catalog connection, widget placement, algorithm selection, and first-go-live — all guided by a dedicated success manager. Most teams ship recs within 5 days.
20+ widget types — carousels, grids, stripes, popups, banners — all themeable to match your brand. No design or dev needed.
Native connectors for Shopify, Magento, WooCommerce, BigCommerce, Salesforce, HubSpot — or roll your own with our API and webhooks.
Every rec click tied to a real order. See revenue by widget, page, algorithm, and segment. Custom KPIs for whatever your team measures on.
Algorithms self-tune based on performance. The engine learns from clicks, conversions, and revenue and continuously improves — no manual retraining.
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.
Playbooks, guides, and case studies on building recommendations that actually move revenue — for both e-commerce and publishers.
See live content recommendation widgets in action — article “read next” modules, video “because you watched” rows, and personalized homepages across real sites.
For publishers: how to keep readers reading with related, popular, and personalized article recs.
How to send recommendations that compute at email open — not at send time. The difference can double CTR.
Real Personyze customers and the recommendation widgets they run — with screenshots, configurations, and lift numbers.
The questions teams ask most when evaluating a recommendation engine. Got something else? Bring it to the call.
A content recommendation engine is software that analyzes each visitor’s behavior — what they read, watch, and click — and automatically surfaces the articles, videos, or products most likely to keep them engaged. Instead of showing everyone the same “most popular” list, it personalizes recommendations in real time for every individual. Personyze blends collaborative filtering, content-based similarity, and AI auto-blending to recommend the right content across your website, email, and mobile from one platform.
Content recommendation widgets are embeddable modules — like “Recommended for you,” “Read next,” or “Because you watched” — that you place anywhere on a page. Each widget pulls from your content catalog, scores every item against the current visitor’s profile, and renders a personalized list in milliseconds. You choose the algorithm, layout, and placement; the engine handles the matching and refreshes the recommendations as each visitor’s interests change.
They run on the same engine. Product recommendations surface items from a commerce catalog to drive sales (for example, “frequently bought together”); content recommendations surface articles, videos, or guides to drive engagement, time-on-site, and return visits. Personyze does both from one platform, so publishers, e-commerce stores, and hybrid sites can recommend whichever mix fits each page and visitor.
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, 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.
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.
Point Personyze at a single content source — a CMS feed, catalog, or content API — and the engine generates every recommendation type from it: content-based (semantic) similarity, trending, recently-viewed, and AI auto-blended picks. Serve them on-page with the JS widget, or pull them through Personyze’s REST API or JS SDK to render in a headless front end, mobile app, or email. The same unified visitor profile ranks the results across every channel.
Personyze. It’s a complete personalization platform with a built-in AI content-recommendation engine that blends content-based, collaborative, trending, and behavioral algorithms and auto-selects the best mix per visitor. Because recommendations share the same unified visitor data, segments, and A/B testing as the rest of the platform, you’re not bolting a standalone rec tool onto everything else.
Personyze builds a unified profile for each visitor — pages viewed, content read, items browsed, plus CRM and behavioral attributes — and the recommendation algorithms use it to rank content in real time. Choose a scenario once (for example, “similar to what they’re reading now” or “AI-blended”) and the engine adapts to each visitor automatically as behavior changes — no manual rules to maintain.
Give every visitor an AI content recommendation experience that learns what they want next — served across web, email, and mobile in milliseconds.