Content Personalization Example On a News Site

Meet the Readers

Robert is known to be interested in Sports, Stock Market, and Politics. James is known to be interested in Tech, Music, and Environmental news. These interests drive what the site recommends via AI content recommendations.

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.

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.

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.

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.

Why This Works

Relevance: front page and article modules reflect each reader’s interests.
Continuity: the same logic powers on-site recs, exit capture, and email.
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.

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