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

Pick a Winner, or Never Stop Optimizing: Two Ways an A/B Test Can Decide

A classic A/B test is an experiment: fix the split, wait, get a verdict. A bandit is a manager: re-balance nightly, keep 10% exploring, never conclude. Personyze runs both from one campaign. What each does, what it costs, and which to choose – plus the per-audience reading both share.

How a Personalization Engine Actually Decides What Each Visitor Sees

The decision at request time, layer by layer: the data the engine knows (default dataset, AI-read interests, integrations, account data), the profile and the visit so far, targeting and discovered audiences, the recommendation model and the settings that steer it, per-audience testing, the render, and the loop that learns.

The Chat That Books the Meeting

When a visitor asks for a demo, the Personyze AI chat agent answers with real times and books the meeting in the thread – the same scheduler rules deciding host, length and availability.

Open the Chat With an Answer, Not a Question

The assistant can work out its opening line before the window opens — on the visitor’s own industry or city — and name a discount only to the audience entitled to hear it.