DoubleTick allows you to segment customers using tags. To make segmentation more accurate, you can now apply All Of and Any Of conditions when filtering customers by multiple tags. These conditions help you define whether customers must match all selected tags or at least one selected tag.
Where This Feature Lives
You can find this option in:
Customers→ Add Filter → Add Conditions → Tags Filter
When adding a Tags filter, you’ll see a condition selector where you can choose:
How the Conditions Work
1. Any Of (OR Condition)
Definition:
Returns customers who match at least one of the selected tags.
This is useful when multiple tags represent alternative options.
Example:
If you select Mumbai and Thane under Any Of, the segment will include customers who are:
2. All Of (AND Condition)
Definition:
Returns customers who match every selected tag.
This is useful when multiple tags represent combined criteria that must all be true.
Example:
If you select 1BHK and Andheri under All Of, the segment will include customers who are:
Only customers matching both are included.
Why This Matters for Segmentation
These tag conditions allow users to build more precise customer lists by controlling how tags interact:
Narrower, more specific segments
This improves the accuracy of customer targeting for campaigns, exports, and follow-ups.
Filter Behavior Summary
Filter action
What it does
Matches customers with at least 1 selected tag
Matches customers with all selected tags
Combine tag filters with other fields (e.g., status, source, date)
Common Use Patterns
Customers typically use these conditions for:
✔ Geographic segmentation (cities, regions)
✔ Product preference (e.g. size, model, category)
✔ Requirement matching (e.g. budget, configuration)
✔ Label-based categorization (e.g. lead type, sales stage)
Exporting and Reusing Segments
Once created, a segment with tag conditions can be:
Any Of broadens the segment
All Of narrows the segment
Both enhance precision when multiple tags are involved
Segment accuracy improves when tags represent meaningful attributes