This piece is part of OnPoint Perspectives, a thought leadership series inspired by the conversations that shaped Kobie’s annual loyalty conference, OnPoint. Each perspective expands on an idea presented during the event, exploring what it means for loyalty leaders and the decisions they’re making today.
This perspective explores insights shared by Rachel Bicking, Chief Data and AI Officer, during OnPoint 2026. During the live session, Rachel challenged conventional thinking around customer identity and explored what it will take to move from static customer profiles toward a more dynamic, situational understanding of the people behind them.
Knowing About a Customer Is Not the Same as Knowing Them
For years, brands have invested heavily in answering a seemingly simple question: Who is this customer?
We unified records. Resolved identities. Connected transactions. Built profiles. Layered on demographics, preferences, behaviors, and predictive attributes.
And in many ways, it worked.
Brands know more about their customers than ever before.
The problem is that knowing more about someone does not necessarily mean you understand who they are in the moment you are trying to serve them.
A customer can have the same loyalty number, demographic profile, purchase history, and stated preferences while showing up to an interaction with entirely different needs.
Consider a traveler flying to the same destination. They could be traveling alone for work and trying to move as efficiently as possible. They could be managing three kids and four bags on a family vacation. They could be traveling for a celebration, ready to spend. Or they could be responding to an emergency where almost nothing matters except getting there.
The transaction may look nearly identical.
The person experiencing it does not.
That distinction is becoming one of the most important challenges in personalization.
We Defined Identity as a Database Problem
Most customer technology was built to create a persistent, unified view of the customer.
That was important progress. It gave brands a foundation for connecting fragmented customer information and recognizing the same person across interactions, but a persistent profile primarily tells us who someone has been. Relevance increasingly depends on understanding who they are right now.
That requires a different way of thinking about identity.
Instead of treating identity as a single record that becomes more accurate as more information is added to it, brands need to think about identity as multidimensional and constantly expressed through context.
There is the foundational identity: Who is this person generally?
There is the situational identity: Who are they in this particular moment?
Then, there is the opportunity to activate against that understanding: What should the brand do differently because of it?
The goal isn’t to abandon the customer data infrastructure brands have spent years building. That foundation still matters.
The opportunity is to make it more useful by adding the context that turns customer information into customer understanding.
AI Makes Getting Identity Right More Important, Not Less
The distinction becomes even more consequential as AI takes on a larger role in customer experience.
AI can make decisions faster. It can identify patterns across enormous amounts of information. It can personalize interactions, recommend actions, anticipate needs, and act on behalf of both brands and customers.
Knowing this, we still need to consider that AI operates on the understanding of the customer that we give it. If that understanding is incomplete, AI doesn’t solve the problem… It scales it.
A recommendation based on the wrong customer context can become an automated stream of irrelevant decisions. An inferred preference can become a repeated assumption. A static profile can inform thousands of dynamic interactions.
The quality of the model matters.
The quality of the identity underneath it matters first.
That means the AI conversation for loyalty leaders cannot only be about models, tools, and decisioning. It also has to be about whether the customer understanding feeding those systems reflects the actual person they are trying to serve.
Relevance Requires Situational Awareness
This changes what good personalization looks like.
Knowing that someone likes coffee may help a brand serve them a coffee offer.
Knowing why they walked into the store, what they are trying to accomplish, who they are shopping for, how much time they have, and where they currently stand in their relationship with the brand creates an entirely different opportunity.
The same is true across industries.
A frequent traveler may value efficiency on Monday and flexibility on Friday.
A grocery shopper may optimize for price during one trip and convenience during another.
A retail customer may be buying for themselves today and a gift tomorrow.
Customers aren’t inconsistent when their needs change; they’re human. Personalization becomes more relevant when customer identity has room to change with them.
Loyalty Has Something Most Customer Systems Don’t: Permission
This is where loyalty takes on a much larger role.
Most customer data is observed, inferred, purchased, or assembled from behaviors. Loyalty creates an opportunity for something different: a direct, ongoing value exchange with the customer.
A member has chosen to enter a relationship with the brand.
That relationship creates opportunities to ask questions, observe behavior over time, learn through repeated interactions, and provide enough value that customers have a reason to tell the brand more about themselves.
That permission matters!
The future of customer identity should not depend on brands becoming better at quietly inferring everything they possibly can about a person. It should create more opportunities for customers to intentionally express who they are, what matters to them, and what they need in a particular moment.
The better the value exchange, the richer that understanding can become.
Furthermore, since loyalty sits at the intersection of identity, value, experience, and ongoing customer behavior, it is uniquely positioned to turn that understanding into action across the enterprise.
From Customer Profile to Customer Operating System
This is also where dynamic identity connects to a broader shift in loyalty’s role.
A Customer Operating System needs more than a unified record of the customer. It needs a living identity layer that can interpret historical understanding alongside volunteered context, current signals, and the customer’s relationship with the brand.
It needs to understand both:
Who is this customer generally?
and
Who is this customer right now?
That distinction changes what the enterprise can do next.
Instead of simply using customer data to populate a segment or trigger a predetermined journey, brands can begin using loyalty intelligence to continuously interpret customer context and determine how the experience should adapt.
The result is a fundamentally different posture toward customer data.
The customer becomes more than a record the brand owns. Identity becomes something the customer helps shape, the brand continues to earn, and the enterprise can act on in the moments that matter.
The Person Behind the Profile
The next era of personalization will require brands to get much better at understanding the difference.
Historical data will still matter. Profiles will still matter. CDPs will still matter. Though none of them, on their own, can tell you everything you need to know about the person standing in front of your brand right now.
Loyalty gives brands an opportunity to build something richer: a relationship where customers have a reason to share, brands have permission to learn, and that understanding can evolve as the customer does.
Identity isn’t simply something a brand resolves once and stores, it is something the brand has to keep earning, understanding, and honoring in every interaction. Customer identity shifts moment by moment, and getting it right is foundational to delivering timely, trusted personalization at scale.
From the OnPoint 2026 Agenda
You Don’t Know Me: The Person Behind the Profile
Rachel Bicking, Chief AI and Data Officer, KobieÂ
Session overview:
Customer identity shifts moment by moment – and getting it right is foundational to delivering timely, trusted personalization at scale. This session explored identity as a dynamic construct, shaped by context, behavior, and the agents acting on a customer’s behalf. We connected practical pressures such as trust, privacy, and relevance with everyday realities influencing behavior to show how identity is changing, why it carries greater weight, and what it must enable as a strategic capability.
The session included:
- A practical definition of dynamic identity and the value that it drives within your program
- A way to evaluate whether your current data infrastructure supports identity
- A strategy for simulating and testing dynamic identities to future proof your program, understand trade-offs, and find opportunities
To learn more about this proprietary thought leadership or Kobie’s annual OnPoint conference, reach out to the Kobie team.
