GLOSSARYBehavioral Filtering
What is it and why it is important?
What is Behavioral Filtering?
A technique that filters out location signals that reflect non-human or implausible behavior (e.g., teleportation, signal ‘sinks’, or impossible speeds).
Why is Behavioral Filtering Important?
Behavioral noise can skew insights, inflate visit counts, and reduce trust in data. Filtering ensures only signals that reflect real-world behavior are used.
What are the Benefits of Behavioral Filtering?
Enhances data quality and reduces manual cleaning. Improves confidence in downstream analytics and automation.
How Precisely Can Help
Precisely Audiences curates segments based on shopping patterns, categorical interests, and demographic profiles, which inherently involves behavioral filtering. This process selects consumers whose real-world actions (e.g., frequent visits to specific brands or competitors) match campaign goals.
The Audience Discovery Dashboard allows marketers to refine segments by filtering behaviors, such as targeting consumers who visit competitive QSR locations or auto dealerships. Products like Signal Engine apply behavioral filtering out of the box—helping organizations focus only on true, valid human movement data.
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