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Creating meaningful segments often involves filtering based on dataset columns and properties. |
Here’s a little glimpse into useful filters:
Attributes of businesses. e.g., Tech startups founded post-2020 might have filters like Industry: Technology, Type: Startup, and Founded: >2020.
Current phase or condition. e.g., Tracking tasks? Filters like Status: In-progress or Completed help.
Time-specific attributes. e.g., For upcoming events, a filter might be Event Date: Next 30 days.
User interactions or actions. e.g., Segment e-commerce users with over three recent purchases.
Lifestyle or values. e.g., Segment magazine subscribers keen on sustainable living.
Technology used. e.g., Segment companies by specific CRM software usage.