Predictive Analytics
Forecast outcomes, identify trends, optimize spend allocation
Traditional media buying can't keep up with today's fragmented digital landscape. With thousands of possible placement combinations, human decision-making alone simply isn't enough.
At Single Grain, we harness AI to transform your media buying strategy across every channel:
See why AI-powered optimization outperforms manual media buying.
| Factor | Traditional Media Buying | AI-Powered Media Buying |
|---|---|---|
| Optimization Speed | Manual adjustments, days or weeks | Real-time, thousands of adjustments per day |
| Decision Making | Dozens of decisions based on limited data | Thousands of decisions based on millions of data points |
| Audience Targeting | Broad segments, demographic-based | Behavioral patterns, intent signals, micro-segments |
| Budget Allocation | Fixed allocations, periodic reviews | Dynamic reallocation based on real-time performance |
| Performance Prediction | Historical averages, gut instinct | ML models trained on billions of impressions |
| Cross-Channel Coordination | Siloed campaigns, manual coordination | Unified optimization across all channels |
| Learning & Improvement | Slow iteration, quarterly reviews | Continuous learning, compounding improvements |
| Wasted Spend | 15-30% of budget typically wasted | Minimized through predictive modeling |
Average results our AI media buying clients see.
Average ROAS Improvement
Reduction in Wasted Spend
Real-Time Optimization
Daily Micro-Adjustments
"The future of media buying is AI-powered, personalized, and always optimizing. Those who adopt it effectively will gain significant advantages over competitors still relying on manual processes."