1. Forecasting for Seasonal Locations

2. Locations w/ Seasonal Variations Summer Resorts (Beach, Lake, Mountain) Winter Resorts (Ski Destinations) Snowbird Areas (Florida, Arizona) College Towns Other (Special Events)

3. Keys to Good Seasonal Forecasting Historical Store Data (if available) Good casing data by month / season Creating a base forecasting period (census) Understanding the dynamics of population change by season Understanding where the potential is derived – Time shares, rental homes, hotels, campgrounds, daytime population

4. Store Sales History January$138,255July$984,007 February$136,532August$886,226 March$163,831Sept$420,225 April$206,038October$236,773 May$396,244November$169,324 June$821,486December$226,024

8. Balanced for April

9. Census Base Population