{"id":197,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/forecast-ets-seasonality\/"},"modified":"2021-02-13T11:34:08","modified_gmt":"2021-02-13T11:34:08","slug":"forecast-ets-seasonality","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/forecast-ets-seasonality\/","title":{"rendered":"FORECAST.ETS.SEASONALITY"},"content":{"rendered":"

Below is a detailed guide on how to use the FORECAST.ETS.SEASONALITY function in Microsoft Excel and Google Sheets:<\/p>\n

Overview<\/h2>\n

The FORECAST.ETS.SEASONALITY function determines the length of the seasonal cycle in a time series. It assesses the periodicity of seasonal fluctuations based on the data provided, returning the length of the recurring patterns.<\/p>\n

Syntax<\/h2>\n

The syntax for the FORECAST.ETS.SEASONALITY function is as follows:<\/p>\n

FORECAST.ETS.SEASONALITY(values, [timeline], [data completion], [aggregation])<\/code><\/pre>\n
Parameters:<\/p>\n
    \n
  • values<\/code>: Required. This is the array or range containing the historical data.<\/li>\n
  • timeline<\/code>: Optional. This array or range represents the timeline associated with the data. If omitted, the function assumes that the intervals between data points are uniform.<\/li>\n
  • data completion<\/code>: Optional. A Boolean value indicating whether the function should automatically compute values for missing data points. The default is TRUE.<\/li>\n
  • aggregation<\/code>: Optional. A Boolean value indicating whether the data should be aggregated. The default is TRUE.<\/li>\n<\/ul>\n
    Examples<\/h2>\n
    Demo<\/h2>\n\n\n\n
    Data<\/th>\nFormula<\/th>\nResult<\/th>\n<\/tr>\n
    10, 20, 30, 40, 50, 60, 70, 80, 90, 100<\/td>\n=FORECAST.ETS.SEASONALITY(A2:A11)<\/td>\n2<\/td>\n<\/tr>\n<\/table>\n
    In this example, the function determines the length of the seasonality pattern from the data in range A2:A11. The result, 2, indicates that a seasonal cycle spans 2 data points.<\/p>\n
    Use Case<\/h2>\n
    A key application of the FORECAST.ETS.SEASONALITY function is in forecasting sales. By identifying the length of seasonal fluctuations in sales data, businesses can better plan for future demand. This aids in optimizing inventory levels and refining marketing initiatives.<\/p>\n
    Analysts can leverage this function to deepen their understanding of data trends\u2019 periodicity, allowing for more strategic, data-driven decision-making.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Returns the length of the repetitive pattern Excel detects for the specified time series<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203],"tags":[],"class_list":["post-197","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"\nExcel FORECAST.ETS.SEASONALITY Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel FORECAST.ETS.SEASONALITY function does. 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