Prioritise content automatically
Recommendations use live audience data and adapt continuously to performance and trends.
- Duplicate-free
- flexible recommendation engines
- context logic
Content Recommendations
Guide readers to what matters next
Reader behaviour, context and interests guide them to their next relevant read
Direct attention with precision
Control the logic behind delivery
Goals such as engagement or conversion shape how recommendations appear.
- Engagement
- conversion
- content connections
Relevance at every audience level
Content adapts to reader status, behaviour and context — keeping every segment engaged.
- Interest-based
- self-learning
- dynamic logic
How teams use Upscore Content Recommendations
Delivering relevant recommendations automatically in the right editorial contex
Keeping readers engaged and on-site longer
Promoting premium and conversion content with precision
Personalising recommendations for different audience segments
Reducing manual curation effort for editorial teams
