For decades, businesses have approached customer loyalty the same way: create a program, assemble a team to manage it, and optimize for engagement. Points get earned, rewards get redeemed, and marketing teams celebrate program metrics.
Meanwhile, customer retention rates continue to decline. The average loyalty program member belongs to 17 programs but is active in just half. And when CMOs are asked to demonstrate the ROI of their loyalty investment, most struggle to connect program performance to business outcomes that CFOs care about.
The problem is not with loyalty itself. The problem is that we have been treating it like a marketing initiative instead of a business asset, and organizing, measuring, and resourcing it accordingly.
The Loyalty Program Trap
Traditional loyalty programs operate as isolated marketing initiatives. Marketing owns the program. IT manages a separate technology stack. Finance measures it against program-specific KPIs. And every other department operates as if the loyalty program is someone else's problem.
The result is fragmented customer data, inconsistent experiences, and loyalty value that never reaches the parts of the business that could use it most.
Think about your own experience as a customer. You earn points on a purchase, then call customer service with an issue and the agent has no idea what tier you're in, what you've bought, or how long you've been a member. You receive an email promoting a product you bought three weeks ago. You get a win-back offer the day after you make a purchase. These organizational failures are symptoms of a business that has siloed its most valuable customer data inside a single team's dashboard.
Loyalty as an Operating Model: A Different Vision
What if loyalty wasn't a program customers joined, but the operational framework that enabled your entire organization to make smarter decisions?
The shift sounds conceptual until you see what it means in practice.
In a traditional loyalty model, a customer's purchase earns points. That data is captured by the program team, used to trigger a reward notification or inform the next email campaign, and then it stops. That same purchase could have informed media suppression, flagged a churn risk, influenced a product development priority, or shaped a service interaction, but it does none of those things. It just generates a points balance.
When loyalty data becomes the foundation of an enterprise operating model, that same purchase flows across every function that touches the customer. Media teams use it to suppress known buyers from acquisition spend. Service teams use it to understand relationship context before a call. Product teams use it to identify the behaviors of the brand's most valuable customers. Commercial teams use it to model lifetime value by segment.
Loyalty data stops being a personalization engine and starts acting as a decision engine for the entire business.
Building the Framework
Moving from program to operating model requires a transformation across five interconnected foundations.
- Data & Technology: A single source of customer truth
The operating model lives or dies on data architecture. Without a unified customer identifier that connects every touchpoint, cross-functional teams are working from different versions of the same customer. This means breaking down data silos, establishing common identifiers across systems, and building real-time data flows that give every function access to a complete, current customer picture. The technology investment is real, but it's the prerequisite for everything else.
- People: Distributed loyalty fluency
Loyalty expertise can no longer live in a single team. In the operating model, every function that touches the customer across service, product, media, and commercial needs enough loyalty literacy to act on the data available to them. This doesn’t mean every team becomes a loyalty team. It means every team stops treating loyalty as a siloed initiative.
- Process: Insights that move in real time, not quarterly reports
The organizational processes that govern how customer data flows and how decisions get made from it are where most transformations stall. Standardized workflows need to capture customer interactions as loyalty data points and enable coordinated planning across business units. The goal is to deliver a loyalty insight to the right decision-maker in hours, not the next budget cycle.
- Organization Design: A center of excellence with distributed activation
A loyalty center of excellence sets strategy, standards, and measurement frameworks. Individual functions own activation within their domain. This structure prevents the program management bottleneck while maintaining strategic consistency.
- Governance: Shared ownership, shared accountability
Cross-departmental leadership, shared investment models, and documented decision rights are what keep the operating model from drifting back toward siloed program management. Success must be measured by business outcomes—retention, lifetime value, share of wallet—not program KPIs like points issued or redemption rates.
The Path Forward
What separates loyalty leaders today is not their technology, creativity, or rewards structure. It’s how they’re organized to capture, share, and act on loyalty data across every function, informing decisions about media investment, service, product development, and commercial strategy.
The good news is that most enterprise organizations already have the raw material. The data exists. The customer relationships exist. The loyalty investment has already been made. What's missing, in most cases, is not more technology or a better rewards structure. It's the organizational clarity to use what you already have across the entire business.
Where to start: If your loyalty program is owned exclusively by one team, that's your first signal. If loyalty data doesn't inform your media strategy, your service interactions, or your commercial planning, that's your gap. If your loyalty KPIs are disconnected from the metrics your CFO tracks, that's your case for change.
Merkle works with enterprise organizations to make this transformation, covering areas like program audits, operating model design, data architecture, cross-functional enablement, and KPI frameworks that link loyalty to broader business outcomes. For teams thinking about moving from a program mindset to a platform approach, it’s a conversation we’re often having.
Organizations that make this transformation stop asking how to improve their program. They start asking how loyalty data can make the entire business smarter.
