Content Recommendation Example
Alex — Tech-leaning, NYC Persona A
Sees stories tied to real estate in NYC, football, finance & markets, and tech/gadgets.
- Local: NYC neighborhoods & development
- Sports: football highlights & scores
- Markets & gadgets: stock news, product launches
Abigail — Upper Management Persona B
Sees leadership-oriented content: international finance, arts/culture, and executive features.
- Global markets & policy analysis
- Arts, culture, and lifestyle coverage
- Executive interviews & opinion
Alex — Tech-leaning, NYC Persona A
While reading an article, Alex sees related stories tuned to real estate in NYC, football, markets, and gadgets.
- Side rail: tech & markets recommendations
- Bottom strip: NYC & sports stories
- Increases time on page & depth
Abigail — Upper Management Persona B
Sees finance, policy, and culture recommendations aligned to leadership interests.
- Global finance & policy analysis
- Arts/culture features & editorials
- Boosts engagement from exec readers
Alex — Tech & Sports Persona A
Receives football headlines and market alerts to pull him back to read more.
- Latest from Football News
- Timely push (e.g., 3 min ago)
- Improves return visits
Abigail — Real Estate & Finance Persona B
Gets real-estate/finance pushes selected by the content recommender.
- World’s Real Estate feature
- Recent & relevant (e.g., 7 min ago)
- Higher click-through to long reads
Alex — Tech & Sports Persona A
Email includes developer/market and football stories he’s likely to open.
- Hand-picked tech/markets & sports items
- Personalized subject & hero
- Higher open & click-through
Abigail — Finance & Real Estate Persona B
Email highlights international finance, property markets, and leadership pieces.
- Finance/real-estate recommendations
- Smart send time & dynamic blocks
- Improved conversions from email
Meet the Visitors
Stephan is recognized by Personyze as having a technical role based on CRM data. Kristin holds an upper management role in her company. The personalization engine uses these role insights, along with behavioral signals, to tailor what each visitor sees — powered by AI content recommendations.
Home Page Recommendations
The homepage adapts dynamically for each visitor. Stephan sees banners and recommended articles about real estate, football, and his location, New York. Kristin instead sees content focused on international finance, gadgets, and the arts scene. Both experiences are powered by automatic content recommendation logic, keeping the homepage fresh and relevant.
Content Page Recommendations
On the article page, each visitor sees a personalized set of recommended stories along the sidebar and footer. Stephan’s layout includes sports and U.S. real estate articles; Kristin’s highlights global business and travel. This keeps both engaged longer, generating more pageviews per session through contextual AI-driven content recommendations.
Targeted Push Notifications
Each visitor also receives a personalized notification, created using personalized push notifications. Stephan might be prompted with “Latest updates in sports analytics,” while Kristin receives “Global markets weekly roundup.” Both notifications are generated by the AI recommendation system to re-engage visitors with new, relevant content.
Remarketing Email
In follow-up emails, Personyze automatically includes articles that match each subscriber’s profile. These remarketing emails contain curated stories — Stephan’s with tech and sports coverage, Kristin’s with finance and arts features — making each campaign feel like a valuable, personalized newsletter rather than generic outreach.
Why This Works
- Relevance: each visitor’s role, interests, and geography shape the homepage, content pages, and outreach.
- Continuity: personalization extends seamlessly from web to push and email.
- Engagement: AI recommendations ensure every surface contains content worth clicking.
How is personalization triggered?
By CRM roles, browsing behavior, and location data combined with AI content similarity.
Is this limited to blogs or media sites?
No — the same logic applies to SaaS education centers, resource hubs, or corporate news portals.
Can these experiences connect with email and push?
Yes — the same recommendation logic powers on-site content, remarketing emails, and notifications.