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This is exactly what you get when you run your data.
Unattributed ROAS
0.08x
₹2.1L halo revenue
Unattributed ROAS is 0.08x. This revenue (37% of total) is driven by baseline brand equity, organic traffic, and "Halo Effects" from ads that tracking pixels missed.
True ROAS
3.10x
3.10x vs naive
Budget Reallocation
+6.9%
₹62.4L potential uplift
Reallocating 24.9% of budget allows us to move spend from saturated channels to high-growth ones. This mathematical optimization is projected to unlock ₹62.4L in incremental revenue (+31.8%) without increasing total budget.
Predicted Efficiency
4.50x
R²: +94.0% | Conf: +94.0%
Strong Model Fit (R² = 65.9%). The model effectively captures the relationship between spend and revenue, making predictions reliable.
Revenue Model Fit
Logic & CalculationWe compare the Actual Historic Revenue (Solid White) against what our Model Predicted (Dashed Grey) for the same period. A tight overlap indicates the model understands your business drivers.
Key InsightThe model predicted revenue (dashed) tracks closely with actual revenue, indicating high confidence. The gap represents unexplained variance.
Channel Performance & Optimization
Methodology
How SpendSignal calculates Marketing Incrementality
The Logic
1. Calculate True ROAS vs Last-Touch ROAS.
2. Determine the Incrementality Score for each channel.
3. Provide specific budget reallocation recommendations to maximize total revenue.
Input Data Required
- Date Column
- Spend per Channel
- Revenue / Conversions
Output Deliverables
- Executive Dashboard
- Strategic Insights
- Downloadable PDF