🧢Filtering 101

Creating meaningful segments often involves filtering based on dataset columns and properties.

Here’s a little glimpse into useful filters:

Firmographic:

Attributes of businesses. e.g., Tech startups founded post-2020 might have filters like Industry: Technology, Type: Startup, and Founded: >2020.

Status:

Current phase or condition. e.g., Tracking tasks? Filters like Status: In-progress or Completed help.

Time:

Time-specific attributes. e.g., For upcoming events, a filter might be Event Date: Next 30 days.

Behavioral:

User interactions or actions. e.g., Segment e-commerce users with over three recent purchases.

Psychographic:

Lifestyle or values. e.g., Segment magazine subscribers keen on sustainable living.

Technographic:

Technology used. e.g., Segment companies by specific CRM software usage.