optimization_debug.txt

Loading calibrated model and data...
Optimization Parameters (Coefficients):
{'spend_facebook': np.float64(10.101), 'spend_google_search': np.float64(10.825), 'spend_tiktok': np.float64(3.495), 'spend_tv': np.float64(10.638)}

Total Budget to Optimize: $9,755.82 (Daily Avg)
Initial Revenue (x0): 17.55
Running SQP Optimization...
Optimization terminated successfully    (Exit mode 0)
            Current function value: -17.55352696354912
            Iterations: 1
            Function evaluations: 5
            Gradient evaluations: 1
Optimization Status: Optimization terminated successfully
Optimization Success: True

--- Optimized Budget Allocation ---
Channel              | Old Spend    | New Spend    | Delta   
------------------------------------------------------------
spend_facebook       | $2,184.17   | $2,184.17   |  +0.0%
spend_google_search  | $1,636.58   | $1,636.58   |  +0.0%
spend_tiktok         | $2,030.97   | $2,030.97   |  +0.0%
spend_tv             | $3,904.11   | $3,904.11   |  +0.0%
------------------------------------------------------------
Projected Revenue Lift: 0.00