/optimization/index.html This section covers Abacus budget optimisation workflows for fitted PanelMMM models. It explains the low-level optimisation wrapper, how to inspect optimisation outputs. For the higher-level planner service and Dash UI, see Scenario Planning. Pages Budget Optimisation - How to run PanelBudgetOptimizerWrapper, set bounds and masks, and define spend over a future window. Interpreting Optimisation - How to read the allocation output, inspect simulated response samples, and use the pipeline optimisation artefacts. Scenario Planning - How to compare current, manual, and fixed-budget optimised scenarios with the planner service and optional Dash UI. Hugo en-gb /optimization/budget-optimization/index.html Mon, 01 Jan 0001 00:00:00 +0000 /optimization/budget-optimization/index.html Use PanelBudgetOptimizerWrapper when you want to optimise spend for a fitted PanelMMM over a future date window. The wrapper builds a synthetic future dataset for the requested window, swaps the model’s channel_data for an optimisation variable, and then calls the generic BudgetOptimizer. If you want to compare several plans in total horizon spend units, see Scenario Planning. What the optimiser maximises For PanelBudgetOptimizerWrapper, optimize_budget() defaults to: /optimization/interpreting-optimization/index.html Mon, 01 Jan 0001 00:00:00 +0000 /optimization/interpreting-optimization/index.html After you run budget optimisation, you usually work with three outputs: the allocation DataArray the SciPy OptimizeResult a simulated response dataset from sample_response_distribution() This page explains how to read each one. Read the optimiser output PanelBudgetOptimizerWrapper.optimize_budget(...) returns: allocation, result = wrapper.optimize_budget(...) If you set callback=True, it returns a third value: allocation, result, callback_info = wrapper.optimize_budget(..., callback=True) allocation allocation is an xarray.DataArray over the non-date budget dimensions. /optimization/scenario-planner/index.html Mon, 01 Jan 0001 00:00:00 +0000 /optimization/scenario-planner/index.html The detailed planner documentation now lives in Scenario Planning. Use that section for: planner concepts and workflow scenario specification classes Python API examples for ScenarioPlanner comparison output tables the optional Dash UI The planner is a higher-level surface than Budget Optimisation: PanelBudgetOptimizerWrapper uses per-period spend units ScenarioPlanner uses total horizon spend units Start here: Scenario Planning Overview and Workflow Python API Dash App