Customer Intelligence
Transform
customer data
into experiences
people remember.
Customer intelligence isn’t knowing more about customers. It’s understanding them better, so every experience can feel more relevant, more human, and worth coming back for.
One customer
Sarah
Five signals
One understanding
- Purchases
- Browsing
- Loyalty
- Service
- Sentiment
Sarah values discovery over discounts.
She is loyal, curious, and ready for a more relevant experience.
The systems know Sarah. But do they understand her?
Sarah has been a customer of a premium lifestyle brand for years. There is plenty of data about her. Data alone is not understanding.
What the systems know
- Bought a jacket
- $1,200 spent
- Loyalty member
- Opened emails
- Visited the website
- Called support
What intelligence understands
- Values discovery
- Prefers certain styles
- Responds to recognition
- Engagement is declining
- Another discount probably won't work
Data shows you what Sarah did. Intelligence helps you understand why.
The reveal
Knowing what happened isn’t the same as knowing your customer.
A customer profile describes the customer.
Customer intelligence understands the customer.
Same customer. Two very different views.
What a customer profile tells you
- Age
- Location
- Purchase history
- Last purchase
- Loyalty status
- Email engagement
What customer intelligence helps you understand
- What she values
- What motivates her
- What has changed
- What she is likely to need next
- What experience will matter to her
- What may cause her to disengage
Personalization changes the message. Intelligence changes the experience.
Personalization asks what message to show. Customer intelligence asks what the customer actually needs.
Basic personalization
“Sarah bought running shoes.”
“Show running shoe accessories.”
Customer intelligence
“Sarah’s behaviour suggests a changing need.”
“Create an experience that reflects what matters to her.”
Signals become understanding. Understanding becomes experience.
Bring customer signals together so your teams can see the person behind the data, and use that understanding to create more relevant experiences.
Customer signals
- Purchases
- Behaviour
- Preferences
- Service
- Loyalty
- Engagement
One customer understanding
Better experience
Better understanding creates better business outcomes.
Loyalty
Customers have more reasons to return.
Retention
Identify changing behaviour before customers disengage.
Customer value
Create experiences around what customers actually value.
Marketing effectiveness
Act on customer understanding instead of assumptions.
Customer intelligence has to move from insight to action.
Canada Goose brought customer information from 11 systems into one unified view, giving teams the intelligence they needed to act faster and create more relevant customer experiences.
Read the case studycustomer relationships on one trusted view
faster campaign execution
higher campaign ROI
Don’t just know your customers. Understand them.
Turn customer data into intelligence your teams can use to create experiences people remember, and reasons to come back.
Data creates the possibility.
Understanding creates the experience.
Experience creates loyalty.
Find your customer experience gap.
- Map your customer data
- Identify the biggest experience gaps
- One quick win you can act on this quarter