An Organizing Framework for Customer Experience Management in Retail

Most retail CX programmes fail not because they lack ambition, but because they lack architecture. Teams measure satisfaction scores, run loyalty schemes, and train frontline staff — yet the customer's experience remains inconsistent, the commercial return is murky, and leadership loses faith. The problem is rarely effort. It is the absence of a coherent framework that connects what the business controls to what the customer actually feels.

That connection — between firm-controlled levers and lived customer experience — is precisely what a landmark piece of academic research set out to map. In their 2009 paper Customer Experience Management in Retailing: An Organizing Framework, published in the Journal of Retailing (Volume 85, Issue 1), Dhruv Grewal and Michael Levy of Babson College, together with V. Kumar of Georgia State University, offered something the field had been missing: a structured account of how retail decisions translate into customer outcomes — and why that translation is never direct.

More than fifteen years on, the framework remains one of the clearest lenses available for diagnosing why a retail CX programme is underperforming. This article unpacks it, extends it with a behavioural economics dimension the original paper gestures toward but does not fully develop, and draws the practical implications for CX leaders working in retail today.

What Is Customer Experience Management — and Why Does Retail Need Its Own Framework?

Customer experience (CX) management is the deliberate design and orchestration of every interaction a customer has with a business — before, during, and after a transaction — with the aim of generating value for both parties. That definition applies across sectors. But retail is a specific beast.

Retail compresses the full customer journey into a relatively short time window, often a single visit or session. It involves high-frequency, low-deliberation decisions. The emotional stakes of any one transaction are usually modest, which means the cumulative pattern of experiences matters far more than any individual moment. And the competitive landscape is relentless: a customer who has a poor experience in one store can be standing in a competitor's within minutes.

Grewal, Levy, and Kumar defined CEM as a business strategy designed to manage the customer experience, encompassing every point of contact where a customer interacts with the business, product, or service. What distinguishes their framework is the explicit claim that this is a win-win value exchange — not a zero-sum negotiation between margin and experience, but a structure in which better experiences generate better commercial outcomes, and vice versa. That framing matters because it shifts the internal conversation from "how much can we spend on CX?" to "how do we design the system so that customer value and business value compound together?"

"Customer experience management is not a cost centre dressed up in the language of strategy. It is the mechanism by which retail drivers convert into retail performance — and the customer's experience is the conversion engine."

The Three-Layer Architecture: Macro Factors, Retail Drivers, and Performance Metrics

The framework organises the retail CX system into three connected layers. Understanding each layer — and crucially, the relationship between them — is the starting point for any serious customer experience programme in retail.

Layer One: Macro Factors

Macro factors are the environmental forces that shape customer behaviour and expectations without being directly controllable by the retailer. They include the economic climate, competitive intensity, technological change, regulatory environment, and broader cultural shifts in how people shop and what they value.

Retailers cannot manage macro factors, but they must read them accurately. A cost-of-living squeeze changes the emotional weight a customer places on price. A surge in e-commerce penetration changes what "convenient" means. A new entrant with a dramatically better digital experience resets the baseline against which customers judge everyone else.

The practical implication: macro factor analysis is not a strategy document exercise. It is ongoing intelligence that should continuously recalibrate the five retail drivers in layer two. Many retailers treat environmental scanning as an annual event. The framework implies it should be a live input.

Layer Two: Firm-Controlled Factors (The Five Retail Drivers)

This is where the framework earns its keep. Grewal, Levy, and Kumar identify five levers that retailers directly control, each of which shapes the customer experience and, through it, retail performance:

• Promotion — how the retailer communicates offers, creates urgency, and manages the customer's expectations before and during the visit. Promotions are not merely a pricing mechanism; they are an experience signal. A poorly executed promotion (misleading, confusing, or impossible to redeem) damages trust far more than the discount value it delivers.
• Price — not just the number on the tag, but the customer's perception of fairness and value. Behavioural economics is explicit here: customers do not evaluate prices in isolation. They anchor against reference prices, compare against competitors, and apply loss aversion when prices rise. Price is an experience variable, not just a margin variable.
• Merchandise (Products) — the range, quality, availability, and presentation of what is on offer. Assortment decisions directly shape whether a customer finds what they came for, discovers something they didn't know they wanted, and leaves feeling the visit was worthwhile.
• Supply Chain — the operational infrastructure that determines whether the right product is in the right place at the right time. Supply chain failures are invisible to the customer until they are not: an empty shelf, a delayed delivery, or a substituted item is a direct experience failure, regardless of its operational cause.
• Location — physical and digital. Where the retailer is, how easy it is to reach, and how the environment is designed all shape the experience before a single transaction occurs. In an omnichannel world, "location" extends to the quality and accessibility of the digital storefront.

What the framework makes explicit — and what most retail CX conversations miss — is that these five drivers do not act directly on performance. They act on the customer experience, which then acts on performance. The customer experience is the mediating variable. That is not a semantic distinction; it is a diagnostic one. If your NPS is declining and your supply chain has been disrupted, the supply chain is the upstream cause, but the experience failure is the proximate one. Fix the supply chain and you may still have an experience problem to address separately.

Layer Three: Retail Performance Metrics

The framework connects CEM to seven key performance metrics: brand value, customer value, word-of-mouth and referral value, retention and acquisition rates, cross-buying and up-buying behaviour, multi-channel engagement, and product return rates. Each is a downstream consequence of the experience the customer had — shaped by the five drivers, filtered through macro conditions.

The inclusion of product returns as a performance metric is worth noting. Returns are typically treated as a logistics and cost problem. The framework positions them as an experience signal: high return rates often indicate a mismatch between what the promotion or merchandising promised and what the product delivered. That is a CX failure with a commercial cost, not simply an operational one.

Why Customer Experience Is the Mediating Variable — Not the Output

The most important structural claim in the Grewal-Levy-Kumar framework is that customer experience mediates the relationship between retail drivers and retail performance. This is worth dwelling on, because it has significant implications for how CX leaders should position their function internally.

If experience is merely an output — something that happens as a result of operational decisions — then CX is a measurement function. You track scores, report them, and flag problems. That is the role most CX teams end up playing, and it is why they struggle to influence strategy.

If experience is a mediating variable, it is a mechanism. It is the process by which inputs (the five drivers) become outputs (the seven metrics). That makes CX a strategic function: the team that understands the mechanism is the team that can predict how operational decisions will affect commercial outcomes. That is a fundamentally different conversation to have with a CFO or a chief commercial officer.

The practical implication for CX governance is direct: CX leaders need to be in the room when decisions about promotion, pricing, merchandising, supply chain, and location are made — not after those decisions have been implemented and the scores have moved.

The Behavioural Dimension the Framework Implies but Doesn't Fully Develop

The Grewal-Levy-Kumar framework is structurally sound, but it was written before behavioural economics had fully entered the mainstream management conversation. Reading it through that lens reveals several dimensions worth making explicit.

Price and loss aversion. The framework treats price as a retail driver — a lever the firm controls. Behavioural economics adds texture: customers respond asymmetrically to price changes. A price increase of £5 generates more negative emotion than a price decrease of £5 generates positive emotion. This is loss aversion, documented extensively by Kahneman and Tversky. For retailers, this means that pricing decisions are not symmetric in their experience effects, and that the sequencing and framing of price changes matters as much as the magnitude.

Promotion and the peak-end rule. Kahneman's peak-end rule holds that people judge an experience by its most intense moment and its final moment — not by the average. A promotion that creates excitement at the point of discovery but frustrates at the point of redemption will be remembered for the frustration. Retailers who design promotions without mapping the full emotional arc of the promotional experience are optimising the wrong moment.

Merchandise and choice architecture. How products are arranged, sequenced, and presented — the defaults, the featured items, the adjacencies — shapes what customers choose, often more powerfully than the range itself. This is choice architecture, the domain of behavioural economics that Richard Thaler and Cass Sunstein formalised. Merchandising decisions are, in effect, choice architecture decisions. Treating them as purely aesthetic or operational misses their psychological leverage.

Location and friction. Thaler's distinction between friction (genuine effort required) and sludge (unnecessary friction imposed by the system) applies directly to retail location strategy. A checkout process that requires unnecessary steps, a store layout that makes it hard to find what you came for, a digital experience that loads slowly — these are sludge. They impose a cost on the customer that generates no value for either party. Removing sludge is one of the highest-return CX investments a retailer can make, precisely because it costs nothing to deliver and everything to tolerate.

How to Apply the Framework in Practice

Frameworks are only useful if they change what you do on Monday morning. Here is a practical sequence for applying the Grewal-Levy-Kumar structure to an existing retail CX programme:

1. Audit your five drivers against your customer experience data. For each driver — promotion, price, merchandise, supply chain, location — identify the specific touchpoints where that driver shapes the customer experience, and what your voice of customer data tells you about those touchpoints. This maps the mechanism, not just the outcome.
2. Identify where experience is mediating poorly. If a driver is performing well operationally but the associated experience scores are low, the problem is in the translation — the way the driver is being executed at the customer-facing level. If both are performing well but downstream metrics (retention, cross-buying) are still weak, the problem may be in the cumulative pattern of experiences, not any single touchpoint.
3. Map the emotional arc, not just the functional journey. For each of the five drivers, map not only what the customer does but what they feel at each stage. Where are the peaks? Where are the endings? Apply the peak-end rule to identify which moments are disproportionately shaping memory and, therefore, future behaviour.
4. Introduce macro factor reviews as a live input. Establish a quarterly or monthly review that explicitly asks: what has changed in the macro environment, and which of our five drivers needs to be recalibrated as a result? This prevents the framework from becoming a static document rather than a live management tool.
5. Reframe CX metrics as leading indicators of the seven performance metrics. Connect your CSAT, NPS, and CES data to the downstream metrics the framework identifies — retention, referral, cross-buying, return rates. This is the evidence base that earns CX a seat at the commercial table. If you can show that a five-point improvement in post-purchase satisfaction predicts a measurable reduction in return rates, you have a business case, not just a score.

For retailers operating across multiple markets or formats, a CX maturity assessment is a useful starting point — it surfaces which of the five drivers is most misaligned with customer expectations in each context, and where the highest-leverage interventions lie.

What the Seven Performance Metrics Tell You About Experience Quality

The framework's performance layer deserves more attention than it typically receives. Each of the seven metrics is a different signal about a different dimension of experience quality:

• Brand value reflects the cumulative emotional equity built through consistent experiences over time — not any single transaction.
• Customer value (lifetime value) is the commercial translation of loyalty, itself a function of repeated positive experiences.
• Word-of-mouth and referral value is the most reliable indicator of genuine advocacy — customers who recommend do so because the experience exceeded expectations, not merely met them.
• Retention and acquisition rates reflect the balance between experience quality and competitive alternatives. High retention with low acquisition often signals a strong but ageing base; low retention with high acquisition signals an experience that attracts but does not hold.
• Cross-buying and up-buying indicate trust and relevance — customers who buy more from a retailer do so because the experience has built confidence in the brand's ability to meet their needs.
• Multi-channel engagement reflects the coherence of the omnichannel experience. Customers who engage across channels are more valuable and more loyal — but only if the experience is consistent across those channels.
• Product returns are the canary in the coal mine for promise-delivery gaps. A rising return rate almost always signals a mismatch between expectation (set by promotion and merchandising) and reality (delivered by the product itself).

Reading these metrics together — rather than in isolation — gives a much richer diagnostic picture than any single score. A retailer with strong retention but rising return rates and declining cross-buying is showing early signs of a trust erosion that NPS alone will not capture until it is too late.

The Enduring Relevance of the Framework for Omnichannel Retail

The Grewal-Levy-Kumar framework was published in 2009, before the omnichannel era had fully arrived. Yet it holds up well, because its logic is structural rather than channel-specific. The five drivers — promotion, price, merchandise, supply chain, and atmosphere — are channel-agnostic at their core. Promotion is now served through personalised push notifications as readily as through a Sunday newspaper insert. Price is set dynamically and compared instantly. Merchandise is curated algorithmically. Supply chain is visible to the customer in real time. Atmosphere extends from the physical shopfloor to the UX of a mobile application. The framework does not tell retailers how to execute in a digital environment; it tells them what to manage, which is the more durable contribution.

Where the framework requires supplementing is in its treatment of the human layer. Service quality — the behaviour of staff, the handling of complaints, the warmth or coldness of an interaction — sits somewhat implicitly within atmosphere and supply chain rather than standing as a driver in its own right. In high-involvement retail categories, that omission matters. A retailer selling considered purchases, whether furniture, electronics, or financial products, will find that associate expertise and interpersonal quality are often the decisive variables in the experience equation.

Conclusion

An organising framework is not a substitute for judgment, but it is a precondition for it. Without a shared structure, CX investments in retail become a collection of disconnected initiatives — a loyalty programme here, a store refurbishment there, a chatbot deployed because a competitor deployed one. The Grewal-Levy-Kumar framework, read alongside a behavioural understanding of how customers actually process retail environments, provides the scaffolding that makes coherent strategy possible.

The practical implication is straightforward: before optimising any single touchpoint, a retailer should map its current performance across all five drivers, identify where the largest gaps between customer expectation and delivered experience lie, and sequence its investments accordingly. Experience management that begins with the framework — rather than arriving at it retrospectively — is experience management that compounds.