Anticipate and React to KPI Changes

Forecast marketing results across the entire funnel using machine learning: from web visitors to MQLs or enrollments to pipeline and revenue. Built-in anomaly detection with intelligent alerts provides immediate notification when action is necessary. Forecast predictive modeling discovers the trends and seasonality insights of customer behavior and can incorporate other “signals” such as competition, special circumstances or sale days like Cyber Monday.

If performance is dropping, you need to know. And the sooner the better.

For accuracy, the marketing forecasting model accounts for business’s trends and seasonality.

User Trend Chart - Looking at overall trend determines if growth or a decline is expected


How seasonality changes throughout the year, broken down by day, is factored in. Along with seasonality in day of week.

The unique peaks and valleys of performance throughout the year are important to build a form-fitting forecast for each business.

Events or special days that happen historically, or are planned for the future e.g. holidays, promotions, sale days, and planned spend, are also included in the model.

Event Forecasting

All of this combined creates a very explainable, accurate marketing performance forecast model. This powerful performance monitoring tool flags results when they go above or fall below the normal range, so you aren’t caught flat-footed.

Be alerted to anomalies that fall outside of the confidence band so you can take action to stay on track.

Know if you are on track

Be alerted to KPI changes and quickly react to anomalies.