Channel Performance Predictions Powered by Your Data
Forecast spend, outcomes, and efficiency by campaign type using configurable lookback windows, pacing models, and confidence scoring. Part of Forecasting Intelligence, included with every ElenIQ plan.
Historical spend and revenue with forward-looking projections - from Forecasting Intelligence.
Sample data - actual forecasts are generated from your uploaded campaign data.
Forecast Drivers analyses your historical campaign data to build forward-looking projections by campaign type and channel.
Forecast performance by campaign type with configurable lookback windows (4-52 weeks) and forecast horizons (1-26 weeks). ElenIQ groups your data by campaign type and builds channel-level projections.
See projected total spend, forecasted outcomes (revenue for e-commerce, leads for lead-gen), and modelled efficiency metrics - ROAS or CPL - for each campaign type over your chosen horizon.
Every forecast includes a confidence score based on data volume, variance stability, and model fit. Stability labels - High, Medium, or Directional - help you gauge how much weight to place on each projection.
Choose how budget is distributed across the forecast period - Even, Front-loaded, Back-loaded, or Promo pacing. Each model reshapes the weekly spend curve to match your campaign cadence.
For lead generation models, ElenIQ applies CPL clamping, spend-range validation, and conversion-rate stability checks to prevent unrealistic projections and flag potential data issues.
Forecast uncertainty narrows over time using variance decay. Early weeks carry wider confidence intervals that progressively tighten, giving you realistic bounds on projected performance.
Every Forecast Drivers run produces a structured set of metrics for each campaign type in your dataset.
Total forecasted advertising investment across the forecast horizon.
Expected revenue (e-commerce) or lead volume (lead-gen) based on historical patterns.
Projected ROAS or CPL calculated from the spend-to-outcome relationship in your data.
A 0-100 score reflecting data quality, variance stability, and model reliability.
Human-readable classification - High stability, Medium stability, or Directional only.
Upload your campaign data and see confidence-scored forecasts by campaign type within minutes.