Evaluate the sentiment impact of [CampaignName] for [CompanyName] by comparing [TimeframePre] (pre) vs. [TimeframePost] (post) across [Channels]. Attribute shifts to specific tactics (assets, spokespeople, partnerships) and recommend optimization for the next flight.
Output format (Markdown):
Outcome Summary with lift in Net Sentiment, SOV, and Reach-Weighted Sentiment.
Pre/Post Table: Metric | Pre | Post | Δ | Stat. Confidence (0–1).
Attribution Notes: Which assets drove positive/negative movement, citing headlines/quotes.
Segment Cuts: By outlet tier, audience segment, and region.
Optimization Backlog: Ranked experiments with Hypothesis | Expected Impact | Effort | Owner | Timing.
Control for seasonality and confounders; document any assumptions. Provide a simple ROI proxy linking sentiment lift to down-funnel KPIs where feasible.