KPI
Revenue uplift: AI benchmark
Relative increase in revenue attributed to the use case.
How to measure it
Revenue in the treated group versus a control group.
Across the library
Median 28.4% across 3 deployments, reported range 20% to 33%.
Higher is better. Unit: percent.
Reported values by use case
AI copilot for hotel revenue management
- Hôtel Swexan33% · vendor claim
- RIMC Hotels & Resorts Group28.4% · organization claim
AI marketing personalization at scale
- Radisson Hotel Groupat least 20% · vendor claim
Use cases that should track revenue uplift
- AI agent for inbound lead qualification and meeting booking
- AI agent for outbound sales prospecting and personalized outreach
- AI agent for personalized offers and rewards
- AI agent for proactive customer outreach, activation and retention
- AI assistant for telecom plan upgrades, add ons and sales
- AI copilot for hotel revenue management
- AI demand forecasting and automated replenishment for retail
- AI for insurance renewal processing and customer retention
- AI for telecom churn prediction and retention offers
- AI marketing personalization at scale
- AI metadata tagging and indexing for media archives
- AI next best action prompts for wealth advisors
- AI recommendation and personalization engine for streaming and media
- AI shopping assistant for product discovery and recommendations
- Conversational AI for insurance quote and buy