Ask One Question, Get Your NPS, Then Act on the Answer
An NPS score that lives in a spreadsheet changes nothing on your site. Ask one question where the visitor already is, show the score where it helps, and let promoters and detractors each get the next step that fits them.
Show Every Visitor the Review That Convinces Them
A bank reads a bank’s case study; a shopper looking at a parka reads reviews of that parka. How to pull reviews from 17 platforms, your own forms and your case studies into one library, and let each visitor see the ones about them.
“Trusted by Companies Like Yours” — Make It True for Every Visitor
A logo strip is the most-copied block in B2B web design, and it shows a hospital the same six retail brands it shows a retailer. How to let each visitor see the customers most like them, by industry, company size or country.
Personyze Is Now in the ChatGPT App Directory
One click instead of a pasted URL: ChatGPT can now install Personyze from its own app directory, read how campaigns are doing, draft personalization actions and manage audiences — under the permissions of the account that authorised it.
What Personalization Actually Gets Clicked: Benchmarks From 32 Live Accounts
Recommendation widgets are clicked by 16.08% of the visitors who see them; banners and popups by 4.18%. Measured across 32 live accounts and 15.9 million delivered actions — with both denominators published, because that is where most quoted benchmarks fall apart.
LinkedIn Ads and Personalization: What the Click Can Actually Carry
LinkedIn will not pass the viewer’s company into your landing page — no macro exists. What works instead: one ad set per list with the segment in the link, reverse IP for the traffic you never tagged, and the 2026 numbers that decide whether the channel earns its place.
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.
Your Own Data Finds Who Converts. The Ad Platform Finds More of Them.
Push to ad platforms sends a discovered audience to Meta, TikTok and Google as events, so the platform can build a custom audience and a lookalike from it – no customer list uploaded. Under-performers go over as suppression. Twelve destinations on one action.
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.