About Audience Group Filters

Filters help make campaigns more effective by targeting the right customers at the right time. You can use filters to create audience groups based on specific details like behavior, interests, demographics, transactions, and more.

Type of Audience Group filters-

CategoryDescription
Loyalty based filtersBuild audience groups using loyalty-related attributes such as active, expired, lifetime, redeemed, and about-to-expire points, registration date and store, current tier, and slab migrations.
Transaction based filtersBuild audience groups based on customer purchases, including transaction date, time, quantity, visit or transaction count, store/channel, bill amount, and other order-level attributes.
Campaigns & Coupons based filtersBuild audience groups based on coupon issuance, redemption, expiry, message delivery count, campaign contact status, timeline journey status, or campaign response behavior.
User profile based filtersBuild audience groups based on customer-specific details like demographics, subscription preferences, fraud status, NDNC status, unique identifiers, channel presence, custom fields, test/control group participation, age, and loyalty slab movement.
Lead based filtersBuild audience groups based on current lead status or status change history, along with attributes like created date, owner, source, sub-status, and associated products.
Cart & Catalog promotion filtersCreate audience groups based on the number of promotions earned by customers during a specific period.
Behavioral event-based filtersSegment users based on custom behavioral events and event attributes, such as frequency and context of the action performed.
AI powered filtersSegment users based on AI-driven predictions like transaction likelihood, lapsation risk, response probability, and product/store affinity.
Purchase pattern based filtersCreate audience segments by analyzing customers' shopping frequency, timing, spend behavior, discounts availed, and product preferences.
Common filtersUse these standard options date, store, points, channel status, lead status, and more—to refine your audience across most filters.