AI-Driven Content Recommendations
Deliver the right content to the right audience at the right time with AI-powered recommendations. Increase engagement, optimize content consumption, and enhance user satisfaction by personalizing every viewer’s journey.
Keep Viewers Watching with Smarter Recommendations
Keep Your Audience Watching, Not Just Scrolling
Connect users with content they love faster to increase engagement and increase content ROI from both high-value and underutilized content.
Make Every Recommendation Personal
Deliver tailored content recommendations to enhance the user’s digital experience right from the start, and gain advanced audience segmentation for better targeting.
The Right Content at the Right Time
Precise Recommendation Engine
Flexible Recommendation Models
Use various endpoints such as “More Like This”, “Because You Watched”, preference-based recommendations, and more.
Cold Start Solutions
Offer effective recommendations to new or unidentified users using global, regional, and device-based data.
User & Profile Level
Deliver recommendations based on the level of audience identification available in your platform.
AI-Powered Personalization
Individual Personalization
Analyze engagement habits, viewing history, and preferences to deliver relevant recommendations.
Real-Time Adaptive Learning
Continuously refine recommendations based on user interactions and new content availability.
Context-Aware Personalization
Adapt recommendations based on time of day, user behavior, and content format.
NPAW helps give Gaia a confident view into the quality of our delivered content.
Jason Riley
Snr. Director of IT/Ops
Unlock AI-Powered Recommendations at Scale
Contact us to receive a free product demo. Discover the impact our Recommender has on your business.