Target customers by what they buy and do.
Build audiences from purchases, engagement, discount use, and profile details, so every offer reaches the people it fits.
Book a demoRelevance sells.
An offer on a customer’s favorite brand gets noticed. An offer on something they never buy gets ignored. Purchase segments put the right product in front of the right people.
- Product / SKU
- Flat white · FW-01
- Brand
- Juniper Coffee & Company
- Category
- Coffee
- Order total
- $9.50
- Items
- Flat white + almond croissant
- Store
- Downtown
- Purchase channel
- In store
A $5.00 flat white and $4.50 pastry make up this illustrative order.
Reach customers based on what they do.
Segment by how customers engage with you: the campaigns they open, the flows they’re in, the surveys they answer, the carts they leave, and the calls they make.
- Marketing status
- Opt-ins and opt-outs for every channel.
- Campaign engagement
- Who received, opened, or clicked a campaign.
- Flow activity
- Where customers are in your automated journeys.
- Survey responses
- What customers told you.
- Abandoned carts
- Shoppers who left before checking out.
- Refer-a-friend
- Customers who shared, and the friends who joined.
- Collectible codes
- Shoppers who redeemed a code.
- Voice AI calls
- Customers who called your store.
- Win-back campaign receivedEmail opted inToday
- Campaign clickedA reason to reconnectToday
- Survey answeredFavorite drink: flat whiteYesterday
- Welcome flow enteredAfter signupMon
- Wait step reachedThree daysTue
- Collectible code redeemedWELCOME · Example codeWed
- Voice AI callStore-hours questionToday
- Call activity availableConnected customer profileToday
- Friend joinedReferral activityYesterday
Local activity views. No message, referral or call is sent.
- Last reward used
- Coffee on us
- Redemption channel
- In store
- Reward activity
- Used a points reward
- POS discount group
- Regulars
- Group source
- Connected POS
Illustrative traits help distinguish reward users, point savers and full-price shoppers.
Start with who your customers are.
Segment by profile details like age, lifecycle stage, when customers were first and last seen, and whether they’re loyalty members.
- Name and age
- Core profile details.
- First and last seen
- When a customer joined you, and when you last saw them.
- Lifecycle stage
- New, returning, or slipping away.
- Loyalty membership
- Members and non-members.
- Contact details
- Who has a phone number or email on file.
- Age group
- 25-34
- First seen
- March 2023
- Last seen
- 9 days ago
- Lifecycle
- Returning customer
- Loyalty
- Member
- Contact on file
- Email and phone
Profile details are illustrative. The example does not expose contact information.