01
Customer Data
Segment customers using profile and identity attributes.
Contact DataMembership StatusCustomer SourceDate AddedCustom FieldsCustomer Attributes
ANGAGE360 SEGMENTATION
Build Audiences Using Real Customer Intelligence
Create highly targeted customer segments using purchase history, customer attributes, engagement behavior, POS activity, store visits, campaign interactions, and customer lifecycle data.
Audience Builder
Live segment rules
Updating
Customer Rules
Membership Tier = Gold
Purchase Rules
Purchase Amount > ₹10,000
Interaction Rules
Email Opened Within 30 Days
Live Audience Count
12,842
Audience insight
Gold members with recent engagement convert 2.3x higher.
What Makes Angage360 Different
More Than Customer Segmentation
Most platforms only segment based on marketing engagement. Angage360 combines customer profiles, purchases, POS transactions, shopping locations, lifecycle behavior, and campaign interactions into one audience engine.
02
Purchase Intelligence
Build audiences from transactional behavior and product affinity.
Purchase DatePurchase AmountPurchase FrequencyProduct CategoriesProduct AffinityInventory-Based Rules
03
Engagement Signals
Use marketing and response behavior to understand intent.
Email OpensEmail ClicksSMS EngagementCampaign ActivityWebsite ActivityCustomer Responses
04
POS Intelligence
Connect physical store behavior with online customer data.
Most Frequently Visited StoreLast Store VisitedHighest Spending LocationNumber of POS PurchasesOnline vs Offline CustomersOmnichannel Customers
Segment Builder Showcase
Create Segments Without Complexity
Use customer, interaction, and purchase rules together without needing complex workflows or disconnected data exports.
IFMembership Tier = Gold
ANDPurchase Amount > ₹10,000
ANDEmail Opened Within 30 Days
Result
12,842
Matching Customers
Simple Segment Logic
Customer Rules
ANDPurchase Rules
ORInteraction Rules
ANDSimple Segments
Simple Segments for Everyday Marketing
Build audiences using customer, purchase and interaction rules. Use AND / OR logic to create practical segments for daily campaigns.
Super Segments
Build Audiences From Audiences
Combine existing segments to create advanced targeting strategies with include and exclude logic.
Include
VIP Customers
Repeat Buyers
Loyalty Members
−
Exclude
Dormant Customers
Unsubscribed Customers
=
Final Audience
18,492
Qualified Customers
POS Customer Intelligence
Connect Online and Offline Customer Behavior
Use POS data to understand where customers shop, how often they visit physical stores, and which locations drive the most revenue.
Purchased in Mumbai stores within 30 daysHighest spending location is DelhiShops online and in-store
Most Recent Store
Mumbai
Most Visited Store
Delhi
Highest Revenue Store
Bengaluru
POS Purchases
42
Online Purchases
18
Omnichannel Score
94
Segment Examples
Audiences your team can launch today.
VIP Customers
Purchase Amount > ₹10,000ANDOrders > 5
Dormant Customers
No Purchase in 90 Days
High Intent Shoppers
Visited SiteClicked CampaignNo Purchase
Loyalty Members
Membership Tier = Gold
POS Frequent Shoppers
Visited Store > 5 Times
Omnichannel Customers
Purchased OnlineANDPurchased In Store
Segment Management
Manage Audiences at Scale
Organize, edit, view, and export segments from a clean audience management workspace.
Segment NameTypeContactsLast InteractionActions
VIP Repeat BuyersSimple24,8122h agoEdit · View · Export
Mumbai Store LoyalistsPOS12,0945h agoEdit · View · Export
Gold Members No PurchaseSuper8,4311d agoEdit · View · Export
High Intent No PurchaseBehavior18,4923d agoEdit · View · Export
Export Segment
VIP Repeat Buyers
Export Contacts
Take Your Audience Anywhere
Export complete audience records for sales, support, analytics, and offline activation workflows.
Business Impact
Better Segments. Better Campaigns.
1
Higher Conversion Rates
2
Better Retention
3
Smarter Personalization
4
Increased Customer Lifetime Value
5
More Relevant Campaigns
Ready to stop blasting every list?
Stop Sending Every Campaign To Everyone
Build intelligent customer audiences using customer data, purchase behavior, engagement signals and POS activity.