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All examples
Personalization Example

One news site, tailored to every reader.

See how a news site adapts its content recommendations, email capture, and remarketing to each reader’s interests — powered by Personyze. Drag the sliders to compare generic vs personalized.

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⚡ Before & after — drag to compare

Robert — Sports • Stocks • Politics Persona A

Homepage emphasizes sports headlines, market updates, and political news.

  • Sports highlights & scores
  • Stock market movers & analysis
  • Top political stories

James — Tech • Music • Environment Persona B

Homepage features technology news, music coverage, and environmental topics.

  • Latest in tech & product launches
  • Music industry stories & reviews
  • Climate & environmental pieces
News homepage personalized for James (tech/music/environment) News homepage personalized for Robert (sports/stocks/politics)
How it works

Built with Personyze — in three steps.

Built with PersonyzeContent RecommendationsBehavioral TargetingDynamic ContentGeoIP & Location
01

Detect

Personyze tracks each reader’s article history, topics, and behavior in real time.

02

Decide

The recommendation engine surfaces the most relevant stories and content for that reader.

03

Render

The homepage, article pages, and emails update live — no page reload, no developer.

Under the hood

How Personyze personalizes this news site.

Every change you see is driven by a real Personyze capability. Drag any slider to compare generic vs personalized.

01

Home Page Content Recommendations

The homepage modules reorder to surface the most relevant categories and articles for each reader. Use the slider (in the live demo) to compare Robert’s sports/markets/politics mix with James’s tech/music/environment set.

02

Content Page Recommendations

On an article page, two widgets appear: one personalized to the reader profile, and one based solely on the current article’s topic. This balances long-term interests with immediate context for deeper engagement.

Content page recommendations for James (tech/music/environment) Content page recommendations for Robert (sports/stocks/politics)
03

Exit Popup for Email Capture

If a reader moves to leave, an exit-intent popup invites them to subscribe for more stories that match their interests. Build this quickly with the exit-intent popup tools.

Exit popup personalized for James (tech/music/environment) Exit popup personalized for Robert (sports/stocks/politics)
04

Remarketing Email Recommendations

Follow-up emails include dynamic content slots that auto-fill with fresh, interest-matched stories at send/open time—powered by email remarketing and the same recommendation logic used on site.

Remarketing email recommendations for James (tech/music/environment) Remarketing email recommendations for Robert (sports/stocks/politics)
05

Why This Works

  1. Relevance: front page and article modules reflect each reader’s interests.
  2. Continuity: the same logic powers on-site recs, exit capture, and email.
  3. Engagement: readers discover more to read, boosting time on site and return visits.

How are interests determined?

From behavior on site (categories read, clicks) and optional CRM/profile data.

Do I need to change templates?

No—widgets render on top of existing pages; layouts are theme-agnostic.

Can I mix personal and topical recs?

Yes—use one slot for profile-based and another for current-article similarity.

Demo — online newspaper personalization: home & article recs, exit capture, and remarketing emails aligned to each reader.

Build your own

Personalize your news site like this.

This news example runs entirely on Personyze — content recommendations, behavioral targeting, and remarketing. Build the same for your site, no code required.

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Free to start · No credit card · Setup in minutes