Marketing Mix Modeling
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cameoQ · Marketing Intelligence · Confidential
Marketing Intelligence · cameoQ

Marketing Mix
Modeling &
Budget Optimization

Configure your media channels, solve for the exact allocation that maximizes total response, and perform what-if analysis.

Optimizing Your Mix
Fitting response curves & solving for optimal allocation…
1
Loading campaign data
2
Fitting logistic response curves
3
Estimating channel saturation
4
Running SLSQP budget optimizer
5
Computing ROI & what-if surfaces
1
Model Configuration

Global Settings — data, variable & budget

Total Budget
$
Period
Campaign Data
Drop CSV or click to browse
Supports .csv and .xlsx — date, spend per channel, response variable
Response Variable
2
Channel Configuration

Spend Ranges — per social media channel

3
Run Optimization

Fit Curves & Optimize Budget

Ready to find your optimal social media mix?
The model will fit logistic S-curves to each channel using your campaign history, then solve for the allocation that maximizes your response variable within budget.
4
Results

Optimization Output — allocation & ROI

Optimized Budget Allocation
Budget-constrained
ROI by Channel Response per $1,000 spent
Full Optimization Summary
Channel Current Spend Optimal Spend Change Expected Conversions ROI (resp/$k) Budget Share
5
What-If Analysis

Scenario Planning — explore budget shifts & incremental impact

Interactive Budget Simulator Powered by fitted S-curves

Adjust each channel's spend to see the incremental impact on your response variable. Sliders are bounded by your configured min/max ranges.

Spend Adjustment
Total adjusted spend:
Projected Impact

Select a channel to see how its response changes across the full spend range — revealing the diminishing returns curve and identifying the optimal spend point.