Forecasting

Overview

Forecasting uses AI and statistical models to predict your future marketing performance. Plan budgets, set targets, and anticipate seasonal changes with confidence-interval-backed projections.

Key Features

• Revenue Forecasting: Predict future revenue with 80% and 95% confidence intervals
• Seasonal Decomposition: Automatically accounts for weekly, monthly, and yearly seasonality
• Multi-Channel Projections: Forecast performance per channel or across your entire marketing mix
• Scenario Modeling: Test different budget scenarios and see their projected outcomes
• External Factors: Incorporates weather, trends, and calendar events into forecasts
• Accuracy Tracking: Historical forecast accuracy metrics to build confidence

How It Works

Forecasting combines Bayesian time-series models with your historical performance data, seasonal patterns, and external signals (weather, trends, calendar events) to produce probabilistic forecasts with confidence intervals.

Use Cases

• Budget Planning: Set realistic monthly and quarterly budget targets
• Goal Setting: Define KPI targets grounded in statistical projections
• Seasonal Preparation: Anticipate and prepare for seasonal demand changes
• Risk Assessment: Understand the range of possible outcomes, not just the expected value

Getting Started

1. Ensure at least 12 weeks of historical data
2. Open Forecasting from the sidebar
3. Select a metric and time horizon
4. Review forecasts with confidence intervals