Personyze
On your site
Website PersonalizationContent, offers and layout shaped to each visitor — one profile across every page and every session.Recommendation EngineWhat each visitor wants next, ranked by the algorithm you pick or one you write.A/B TestingA winner per audience, promoted mid-campaign rather than after it.Dynamic Landing PagesThe whole page recomposed per visitor — headline, imagery and offer from the ad they clicked and their own interests. On pages you already run.AI Search & Chat AgentAnswers from your own pages and catalogue, and a search box that replies in a sentence.Banners & Pop-UpsRight message, right moment, right page — without a developer.Social ProofLive scarcity, ratings and what other people just did.
Off your site
Email PersonalizationContent and recommendations picked per reader at open time — sent from Personyze or pasted as one block into your ESP.Push, SMS & WhatsAppFired by what they just did rather than by a schedule.Hosted Landing PagesThe same per-visitor page, served by us — your domain or ours, no site to deploy to.
Know who they are
Behavioral TargetingSegments that update themselves from what people actually do.Audience DiscoveryPlain-language audiences found in your own data — visitors who convert several times more often than average, targetable in a click.ABM MarketingThe company behind an anonymous visit, joined to your CRM.Website AnalyticsSessions, bounce and revenue — then click a row and there is a person.
Build & connect
MCP ServerRun your account from Claude, ChatGPT or any MCP client.IntegrationsHubSpot, Salesforce, Twilio Segment, Tealium, GTM and the REST API.APIs, SDKs & AutomationOne REST endpoint over every object, server and mobile SDKs, rules and reports that run on their own.
Pricing
Omnichannel

Activate Data Across Web, Email, Apps & Messaging

One visitor profile, built from whatever you already have, read by the site, the email, the app and the message at the same moment. No exports, no nightly sync, no second copy drifting out of date.

CRMEcommerceCDP & tagsABM by IPFeeds & filesone profileWebEmailSMS & WhatsAppPushAPI
Every source lands on one profile; every channel reads it at once
Where the data comes inCRM, commerce, CDP and files
  • CRM - Salesforce, HubSpot, Zoho CRM and Pardot
  • Ecommerce - Shopify, Magento, BigCommerce and WordPress
  • CDP and tag managers - Segment, Tealium, Zeotap and Google Tag Manager
  • ABM and intent - HubSpot (which now carries the Clearbit company data), 6sense, ZoomInfo, Leadfeeder, leadREBEL and Albacross
  • Files and feeds - CSV upload, Google Sheets sync or a live API feed
  • Automation platforms - Zapier, n8n and Make move data in as well as out, so another tool can feed the profile or react to it
  • The page itself - cart totals, search terms, any DOM value, cookies, JavaScript variables or the GTM data layer
Where the decisions go outSix channels, one profile
  • On the page - popups, banners, inline blocks and whole landing pages
  • Email, sent by us - broadcast and triggered sends from Personyze on its own SES account, from your branded domain - or point it at any SMTP server you already run
  • Email, sent by you - paste one block into the ESP you already use; it resolves when the message is opened
  • SMS and WhatsApp - the same audience and the same content rules
  • Web push - subscription managed by Personyze, fired by behaviour
  • Mobile apps - iOS and Android through the JSON API
  • Your own stack - webhooks out, and a server-side API in
Email, either way roundSend it yourself, or let us send it
Sent by Personyze - broadcast and behaviour-triggered campaigns, delivered through our SES account from your own branded domainYour SMTP - point it at any server you already send fromKlaviyo, Mailchimp, ActiveCampaign, Brevo - native integrationsAny other ESP - paste one block, it renders on openZapier, n8n or Make - for everything with no native integration
Precision targeting

Target with Precision. Engage with Relevance.

Conditions combine with AND, OR and NOT, nest as deep as the audience needs, and re-evaluate on every request - so a visitor enters and leaves an audience as their behaviour changes, not overnight.

who they arewhere and whenthe live sessiontheir historyaudienceAND / OR / NOT
Seventy-plus attributes, combined and re-evaluated on every request
Who they areProfile, CRM and company
  • CRM fields - lifecycle stage, plan tier, lifetime value, industry
  • Custom profile fields added on the fly, without touching your CRM feed
  • Firmographics from the IP - company, size, industry, revenue
  • Company data through HubSpot, which now ships the Clearbit dataset
  • User lists matched from a CSV or a spreadsheet
  • Interests inferred by AI, with a strength score, plus explicit ones
Where and whenContext you do not control
  • Country and city, by IP
  • Local weather, by IP or GPS
  • Date range, day of week and hour of day
  • Device type, OS, browser, screen size and browser language
  • IP address or CIDR range
What they are doing nowThe live session
  • Pages visited - full URL, path or query parameter
  • Page views this session, and the most-popular page
  • Time on site, and the landing page they arrived on
  • Traffic source - referrer, search engine, social network or campaign
  • Search keywords, from the referral or your own site search
  • Cookies, JavaScript variables, form values, meta tags and the GTM data layer
What they have done beforeCommerce and content history
  • Products viewed, added to cart or purchased
  • Cart value, product count, total value, brand and price filters
  • Interaction counts - distinct, same item, or total
  • The last product interaction, whatever it was
  • Articles viewed, favourited, subscribed to, and how deep they read
  • Content attributes - author, tags, category, topic
  • New or returning, and how many sessions deep
AI recommendations

Maximize Engagement with AI-Powered Recommendations

Fifteen product algorithms and twelve content algorithms ship ready to use. Point one at a placement, blend several, or write your own rule - then render the same ranked set on the page, inside an email, or straight from the API.

27 algorithms15 product / 12 contentOn the pageslider or gridIn emailrendered on openJSON APIyou render itPushsame ranking
One ranked set, rendered wherever the visitor happens to be
Product algorithmsFifteen, by name
  • Highest Relevance - what similar visitors bought or viewed
  • Bought Together - bought with the product in view
  • Likely to Buy - bought by people who viewed this
  • Likely to View - viewed by people who viewed this
  • Cross-sale Cart Recommendation - bought with what is in the cart
  • Most Frequently Bought with Cart - the strongest cart pairings
  • In Your Cart - what they have in there right now
  • Buy It Again - their last fifteen purchases, in order
  • View It Again - what they looked at before
  • New In Stock - new arrivals, ranked by their interests
  • Recently Discounted - price cuts, ranked by their interests
  • Price Recently Changed - any move in price on things they care about
  • Popular from Most Recent Interest - from the last thing they showed interest in
  • Popular from Recent Interests - across their ranked interests
  • Most popular based on gender / age - what their demographic buys
Content algorithmsTwelve, by name
  • Most Read Based on Most Recent Interest
  • Most Read Based on Mix of Interests
  • Visitors Who Read This Also Read These
  • Likely to Read Based on a Mix of Content Read and Commented
  • Likely to Read and Buy, Based on Current Article
  • Likely to Read and Buy, Based on Mix of Interests
  • Most Popular from This Author
  • New Article Based on Your Interests
  • Most Commented Content Based on Most Recent Interest
  • Most Commented Content Based on Mix of Interests
  • Content That Lead to Most Conversions Based on Recent Interests
  • Content That Led to Most Conversions Based on Most Recent Interest
Controlling the outputFilters, fallbacks and merchandising
  • Filters on any catalogue field - category, price band, stock, brand, tag
  • Fallbacks, so a widget is never empty for a new visitor or a thin catalogue
  • Managed upsell and cross-sell through curated product relationships
  • Coupons applied automatically at checkout
  • Blend several algorithms in one widget and weight them against each other
Where the same set rendersOne ranking, every surface
  • On the page - slider or grid, styled from a template you control
  • In email - open-time rendering, so items are chosen when the message is READ rather than when it was sent
  • JSON API - separate product and content endpoints, you render the markup
  • Mobile - the same endpoints from iOS and Android
  • Web push - the ranking drives the notification payload
Actions & Canvas

Build Any Action on the Canvas

Everything a visitor sees is an action, assembled on the Canvas from a template or from blocks. The same builder produces a banner, a lead form, a spin wheel or a webhook that fires into another system entirely.

bannermodalformwheelwebhook
One builder: what appears on the page, and what fires outside it
On the pageWhat the visitor sees
  • Popups and banners - centre modal, corner toast, full-screen overlay, announcement bar
  • Inline blocks - assembled on the Canvas and dropped into any placement
  • Product recommendations - slider and grid layouts
  • Content recommendations - article cards in slider, row or list
  • Countdown timers - card, bar and event-based
Asking something of themCapture and gamification
  • Lead forms - side-by-side and stacked templates
  • Spin wheels - standard, and gated behind an email
  • Recommendation quiz - answers drive what gets shown next
The editor itselfCanvas and WYSIWYG
  • Canvas Builder - a free-form design surface: assemble a popup, banner or inline block out of individual elements rather than editing a fixed template
  • WYSIWYG editing - change copy, image and style on the thing itself, as it will appear to the visitor
  • Split cases - one action carrying several variations, chosen by condition: language, weather, behaviour, audience
  • Dynamic variables - CRM fields and personalization tokens dropped straight into the copy
  • Device preview - desktop, tablet and phone checked before it ships
  • Custom HTML, CSS and JavaScript - for when the visual editor runs out
  • Template gallery - popups, forms, countdowns, gamification, banners and recommendation layouts as starting points
Doing something elsewhereOut of Personyze, into your stack
  • Webhooks - fire an external endpoint when the audience matches, so another platform can act on it
  • JavaScript actions - run your own code when the conditions are met
  • Redirects - send the visitor somewhere else entirely
  • Zapier, n8n and Make - reach anything without writing the integration, in either direction
  • MCP server - Claude and ChatGPT can read and build campaigns directly
Analytics & A/B testing

Measure & Optimize with A/B Testing

Every element is measured against a held-out group, so the number you read is the lift the personalization caused, not the traffic it happened to catch.

Variant AVariant BVariant CReturning buyersB winsPaid searchC winsEveryone elseA winsheld-out control, always running
A winner decided per audience, not one winner for the whole site
What you can measureTracked by default
ClicksRevenueAdd to cartPurchasesTime spentBouncesPage viewsImpressions
Beyond the defaultsAnything you can name
  • Unlimited custom KPIs, defined per campaign
  • Goals tracked across sessions, not only the visit that converted
  • Reporting per audience, so a winner overall is not assumed to win everywhere
How the test resolvesAutomatic, not manual
  • A winner per audience rather than one winner per site
  • Promoted mid-campaign once the result separates, not after it ends
  • The held-out control keeps running, so the lift stays measurable