New Tools for Modeling Timing and Order of Entry Effects

Forecasters often rely on secondary data analogs to model the effects of timing and order-of- entry, but these estimates often fail to capture the unique characteristics and market situation for pipeline products. This presentation shares new tools for modeling timing and order-of-entry that combine methods based on secondary data with new metrics from survey-based demand research. Accuracy of the methodology is demonstrated with several case studies.