The response prediction filter helps you build an audience group with customers that are likely to respond to the brand in the next n days. .

This filter has an additional ability to get top customers (highest probability) by absolute count (number) or percentage.


Basic Options

The following are the basic or mandatory options of the top n response prediction filters.

  1. Number/Percentage: Select the unit measure using drop-down options,either number, or percentage.
    This option is a unit measure for the top customer(s) count in number or percentage. For example, you can include the top 10 number or percentage of customers predicted to respond to the brand in the next 15 days.
  2. Top: Enter the value for top customers count according to the number or percentage selected. For example, you can include the top 10 customers or top 10 percentage of customers that are likely to respond to the brand in the next 15 days.
  3. Next n days: Select the period (in the next n days) that you want to consider for predicting the response probability of customers (likelihood). For example, you can include top 10 customers predicted to respond in the next 7, 15, and 30 days.
  4. Likelihood (probability of the response): This option lets you get the customers with maximum or minimum probability of responses with the brand in a selected period. You can select very high, high, medium, low, and one from the list to get top n customers with the highest or lowest probability of responses with the brand in the next n days. For example, you can include top 10 customers with a very high probability of responses to the brand in the next 7, 15 and 30 days; you can include customers whose chances are to make only one response in the next 15 days.

    The values for each filter option (very high, high, medium, low, and one) are predefined and common for any organization. The following are the values for each filter option where the likelihood probability lies between 0 to 1

    • Very High: The likelihood probability is considered very high when the value is greater than 0.7.
    • High: The likelihood probability is considered high when the value is less than 0.7 and greater than 0.3.
    • Medium: The likelihood probability is considered medium when the value is less than 0.3 and greater than 0.1.
    • Low: The likelihood probability is considered low when the value is less than 0.1.