What This Page Does
The Forecasts page shows machine learning predictions for your keyword rankings alongside actual outcomes. This transparency lets you evaluate prediction accuracy and understand which factors the model considers most important.
Powered by: Confidence & Impact
Getting Started
- View prediction vs actual — chart showing forecast line vs actual ranking trajectory
- Check accuracy metrics — mean absolute error and prediction confidence
- Review feature importance — which factors the model weighs most heavily
- Explore keyword-level forecasts — per-keyword predictions with confidence intervals
Key Features
- Prediction charts — forecast line vs actual trajectory with confidence bands
- Accuracy tracking — model accuracy improves over time as it learns from outcomes
- Feature importance — which scoring components most influence ranking predictions
- Confidence intervals — see the range of likely outcomes, not just point estimates
Tips & Best Practices
- Predictions improve with more data — expect lower accuracy in the first 30 days
- Use confidence intervals for planning — the 80% band is more reliable than point estimates
- Feature importance reveals which scoring improvements have the biggest ranking impact
- Compare forecasts to actuals monthly to calibrate expectations