This demo shows how to move from incrementality measurement to budget deployment using spend recommendations backed by iROAS data. The interface displays a measurement-driven plan showing forecasted iROAS, ROAS, and spend mapped to a selected budget scenario. Users can switch between campaign and ad-set views to assess incremental return at each level, and narrow results by specific channels or tactics to expose marginal ROAS behind individual media dollars. A filter for recommendation type allows sorting by scale, waste reduction, or maintenance signals based on marginal return data. Model-driven recommendations indicate where each dollar earns its incremental ROAS. The platform surfaces measurement flags for pacing issues, saturation, and efficiency risks before they affect ROAS. Budget shifts can be pushed live across all connected channels in a single action. Users can choose to override current values or apply recommended changes to selected campaigns. Bid targets can be fine-tuned to improve cost-per-conversion, and target ROAS or CPA values can be reset per campaign and ad set individually. Underperforming campaigns or ad sets can be paused and winners reactivated, with active or paused status toggled per entity to control which media remains live.