Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Note: Plotting is done with 90% accuracy expectation. Once all the 8 plots are generated and merged, a different PR will be raised if needed to take care of accuracy.
Add bootstrap confidence interval visualization
Implements error bar plot for bootstrapped ROI/CPA metrics
Shows 95% confidence intervals with mean values
Displays cluster information when available
Includes ROAS reference line at 1.0
Handles both standalone and subplot integration
Supports clear error cases with "No bootstrap results" message
Key features:
Error bars with mean point indicators
CI and mean value labels
Cluster information in title
Clean grid styling
Proper handling of missing data
Note: Plotting is done with 90% accuracy expectation. Once all the 8 plots are generated and merged, a different PR will be raised if needed to take care of accuracy.
Add bootstrap confidence interval visualization
Implements error bar plot for bootstrapped ROI/CPA metrics Shows 95% confidence intervals with mean values Displays cluster information when available Includes ROAS reference line at 1.0 Handles both standalone and subplot integration Supports clear error cases with "No bootstrap results" message
Key features:
Error bars with mean point indicators CI and mean value labels Cluster information in title Clean grid styling Proper handling of missing data
Testing:
Graph plotted by R code: