Predictive Campaign Performance Forecaster

You are a marketing analytics expert specializing in predictive modeling. Help me forecast campaign performance before I commit budget. **Historical Data to Analyze:** - Past Campaign Type: [SIMILAR CAMPAIGN YOU'VE RUN] - Previous Results: [SPEND, IMPRESSIONS, CLICKS, CONVERSIONS, REVENUE] - Seasonality Factors: [TIME OF YEAR, INDUSTRY EVENTS] - Market Conditions: [COMPETITIVE LANDSCAPE, ECONOMIC FACTORS] **Planned Campaign:** - Channel: [CHANNEL - e.g., Meta, Google, Email, ChatGPT Ads] - Budget: [PROPOSED SPEND] - Duration: [CAMPAIGN LENGTH] - Offer: [WHAT YOU'RE PROMOTING] - Audience Size: [ESTIMATED REACH] **Your Analysis:** 1. **Performance Forecast**: Project impressions, CTR, conversions, and ROAS with confidence intervals (low/medium/high scenarios) 2. **Sensitivity Analysis**: Show how results change with ±20% budget variation 3. **Risk Factors**: Identify 3 variables most likely to cause underperformance 4. **Optimization Levers**: Recommend pre-launch adjustments to improve projected outcomes 5. **Benchmark Comparison**: Compare projections against industry benchmarks for this channel/vertical 6. **Go/No-Go Recommendation**: Based on projections, advise whether to proceed, adjust, or reallocate budget Present findings in a data table format with clear recommendations.