Experience MMM Analysis Results
Below are MMM analysis results using sample data from 5 advertising channels. Explore channel ROI, adstock effects, and budget optimization in the same dashboard used by our product.
0.920
Model Fit
8.5%
Prediction Accuracy
5
Channels
2.8x
リスティング広告
How to read: Estimated contribution of each channel to total sales. Longer bars indicate higher contribution, helping identify which media is most effective.
How to read: The return ratio per unit invested. Values above 1.0 indicate positive revenue contribution; below 1.0 suggests the channel needs cost-efficiency review.
How to read: The residual rate of advertising effect (\u03B1 value). Higher values mean the effect persists longer, continuing to influence sales in subsequent weeks.
How to read: Shows diminishing returns on additional investment. As the curve flattens, further spending yields diminishing returns.
How to read: Shows the difference between current budget (gray) and optimized allocation (blue). Shifting budget to recommended channels can improve overall sales.
How to read: The model-recommended budget allocation for maximizing ROI. Budget is shifted toward more effective channels compared to the current allocation.
Key Insights from This Demo Data
- Search ads have the highest ROI (2.8x): Most cost-efficient channel with room for increased investment as it hasn't reached saturation
- TV CM has outstanding adstock effect (\u03B1=0.82): Advertising impact persists for 8+ weeks, contributing to long-term brand building
- Display ads show negative ROI (0.7x): Budget optimization recommends reducing from \u00A57M to \u00A53M
- YouTube ads combine high ROI (2.4x) with moderate adstock: A channel where increased spending can drive further results
- Recommended reallocation within total budget of \u00A511M: Concentrate investment in high-ROI channels (Search +113%, YouTube +83%) and significantly reduce low-ROI channels (Display -80%)
Ready to analyze your own data?
Simply upload a CSV to run automated Bayesian MMM analysis. Get channel-level ROI and optimal budget allocation.