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Channel Saturation & Diminishing Returns
Visualize the marginal efficiency of your spend. Know exactly when to stop scaling a channel.
Diminishing Returns Curve Fitting (Hill Function)
Active Channels
5
Currently Spending
Saturated Channels
2
Crossed optimal point
Wasted Spend
₹30.0k
Spend with <1 ROAS
Reallocation Opp
₹0.4 L
Potential gain
Primary AnalysisLive Data
Main visualization of key metric drivers
Key Insights
- •Meta has hit saturation. The last $1 spent returned only $0.80.
- •TikTok is under-invested. Marginal ROAS is 3.2x.
- •Move 15% of Meta budget to TikTok to gain net efficient revenue.
Logic Used
- We fit Spend vs Revenue data to a Hill Function or Logarithmic curve for each channel.
- Saturation Point: Where Marginal ROAS drops below 1.0 (or target profitability).
- Opportunity: Difference between optimal spend and current spend.
Deep Dive
Saturation Radar
Data Transparency
Full breakdown of the underlying data points for verification.
| Channel | Spend | Inc Revenue | Marginal ROAS | Saturation Score | Action |
|---|---|---|---|---|---|
| Meta | ₹80,000 | ₹120,000 | 0.80 | 85/100 | Stop |
| ₹60,000 | ₹210,000 | 2.50 | 40/100 | Scale | |
| TikTok | ₹20,000 | ₹80,000 | 3.20 | 20/100 | Scale |
Methodology
How SpendSignal calculates Channel Saturation Radar
The Logic
Generate a **Channel Saturation & Dimishing Returns Radar**.
1. Look at the Marginal ROAS (ROAD) for every channel.
2. Identify channels with flat or negative slopes (Saturation Points).
3. Explicitly list channels that are 'Dead but Funded' (spending beyond saturation).
4. Recommend immediate 'Stop-Spending' thresholds.
Input Data Required
- Date Column
- Spend per Channel
- Revenue / Conversions
Output Deliverables
- Executive Dashboard
- Strategic Insights
- Downloadable PDF