When or why? From where and what?
How and how many? Ask the right questions,
get the right segments. Slice and dice your customers at the granular level. Split them
based on their behavior, demographics,
actions they have performed, or actions
they’ve not delivered. Group them based
on their availability for SMS’s, Emails, or Push notifications.
Users are unique at a micro level filtering and share similarities at macro levels. Segmenting users based on behavior – likes and dislikes, high interests to low interests, knowledge of your product, and the responses during the journey – helps you to see the similarities and uniqueness. Create custom audiences based on the interest levels
Segment users based on demographic information – like age, gender, occupation education level, income level, and more. For a B2B, classify clients based on critical information like the size of the company
Classify your users based on the geographic data points – like country, state, region, zip code and street.
Go levels deeper by combining the segmentation variables nesting with the three – behavioral, demographic and geographic. Use logical queries like AND/OR to refine your cluster further.
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