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Scenario Engine: Aggressive Scale (+20% Spend)
Simulate potential futures. Compare baseline performance against modified spend and strategy assumptions.
Monte Carlo Simulation (10,000 Iterations)
Scenario
Aggressive Scale (+20% Spend)
Spend Change
+₹20.0k
Revenue Impact
+₹42.0k
Margin Impact
+₹22.0k
Risk Band
Medium
Confidence Level
Primary AnalysisLive Data
Main visualization of key metric drivers
Key Insights
- •Increasing spend by 20% yields ~₹{(currentSpend * 0.2 * 2.1).toLocaleString()} more revenue.
- •Risk is Medium because Meta scale relies on broader audience targeting.
- •Probability of positive ROI: 85%.
Logic Used
- We run 10,000 simulations using channel volatility and historical betas.
- Bounds: 95% Confidence Interval (VaR - Value at Risk).
- Scenario: Adjusting input variables (Spend) to observe output distribution (Revenue).
Deep Dive
Change Drivers
Meta+20% Spend
Impact: ₹15,000Range: ₹12,000 - ₹18,000
Google+20% Spend
Impact: ₹8,000Range: ₹7,500 - ₹8,500
Data Transparency
Full breakdown of the underlying data points for verification.
| Channel / Driver | Change | Rev Impact | Confidence Range |
|---|---|---|---|
| Meta | +20% | +₹15,000 | ₹12,000 - ₹18,000 |
| +20% | +₹8,000 | ₹7,500 - ₹8,500 |
Methodology
How SpendSignal calculates scenario-engine
The Logic
I need you to simulate and compare these 3 scenarios with confidence bands:
1. **Aggressive**: Increase total budget by 30%.
2. **Defensive**: Cut total budget by 20%.
3. **Reallocation**: Move 30% of spend from the worst performing channel to the best.
Present the results as a decision slide: Revenue Impact, ROAD Impact, and Risk.
Input Data Required
- Date Column
- Spend per Channel
- Revenue / Conversions
Output Deliverables
- Executive Dashboard
- Strategic Insights
- Downloadable PDF