Are Retailers Underpricing? Using the Kano Model to Find Money Left on the Table
Direct answer: Most retailers underprice because they treat every product feature and service as equal, when customers actually value them very differently. The Kano Model helps you separate the features shoppers expect (and won't pay extra for) from the features that genuinely delight them (and will command a premium). If a delighter is priced like a basic expectation, you're leaving money on the table — and Kano is the fastest way to find it.
Why "leaving money on the table" is usually a segmentation problem
When a retailer suspects it's underpricing, the instinct is to run a blanket price increase or a margin study. Both miss the point. The real question isn't "can we charge more?" — it's "which specific things do customers value enough to pay more for, and are we charging accordingly?"
That distinction matters because retail pricing failures are rarely uniform. You might be overcharging on commoditized staples where shoppers comparison-shop to the cent, while dramatically underpricing a proprietary service, an exclusive brand, a same-day fulfillment option, or a curation layer that customers would happily pay a premium to keep.
The Kano Model — developed by Professor Noriaki Kano in the 1980s — is built exactly for this. It maps customer satisfaction against feature performance and sorts every attribute into categories. Once you know which category a feature falls into, the pricing implication becomes obvious.
The Kano categories, translated for retail
Kano sorts attributes into five buckets. Here's what each looks like on a shop floor or in an e-commerce cart:
- Must-be (basic expectations): In-stock availability, accurate pricing, a working checkout, returns that don't require a fight. Customers don't reward you for these — they only punish you for missing them. You cannot charge a premium here.
- Performance (one-dimensional): More is better and customers will pay proportionally — faster shipping, wider selection, lower price itself. These scale linearly with satisfaction. Price roughly tracks performance.
- Attractive (delighters): The unexpected extras — expert curation, a concierge personal-shopping layer, exclusive early access, a beautifully unboxed experience, loyalty perks that feel generous. These generate outsized satisfaction and customers will pay a premium — but often you're giving them away.
- Indifferent: Features no one cares about. If you're spending money maintaining these, that's cost you can cut (and reinvest in delighters).
- Reverse: Things a segment actively dislikes — aggressive upsell prompts, forced account creation, excessive packaging. These destroy willingness to pay.
The money-on-the-table insight almost always lives in the gap between Attractive and Must-be: features you treat as table stakes that customers actually experience as delighters.
A concrete Kano walkthrough for a retailer
Here's how to run it without a research department.
Step 1 — List 10–20 candidate attributes. Pull from your product, service, and experience layers: return policy, delivery speed, product range, staff expertise, exclusivity, loyalty program, packaging, personalization, price.
Step 2 — Ask the Kano question pair for each. For every attribute, survey a sample of customers with two questions:
- Functional: "How do you feel if this feature is present?"
- Dysfunctional: "How do you feel if this feature is absent?"
Answer options: "I like it," "I expect it," "I'm neutral," "I can tolerate it," "I dislike it."
Step 3 — Classify. The combination of answers maps each attribute to a Kano category using the standard evaluation table. (A feature customers "like" when present but are "neutral" about when absent = Attractive. One they "expect" when present and "dislike" when absent = Must-be.)
Step 4 — Overlay your current pricing. This is where the money appears. For each Attractive feature, ask: are we monetizing this at all? If your expert curation, exclusive stock, or premium fulfillment is bundled into a standard price, you've found an underpricing candidate.
Step 5 — Test willingness-to-pay. For your top two or three delighters, run a small price experiment — a premium tier, a paid membership, a service add-on — and measure attach rate and margin impact before rolling out.
What "good" looks like: a clear map where basics are priced competitively (you win on trust), performance features scale with price, and delighters are packaged into premium options that a meaningful segment chooses voluntarily.
Where Percision fits — and where it doesn't
Running Kano well requires two things: structured analysis and turning findings into a defensible pricing plan. That's the split worth being honest about.
Use a spreadsheet or a human consultant when: you have a small SKU count and a tight relationship with your customers, you can run the survey and classification yourself, or your question is narrow enough that a Kano table in Excel gets you there. Kano's arithmetic is not complex — a competent analyst and a survey tool can do it.
Percision helps when you want to move from "we ran a Kano survey" to a board-ready pricing strategy quickly. Disclosure: I write for Percision, so weigh this accordingly. Percision is a strategic intelligence platform that runs your business context through structured reasoning steps across 27+ frameworks — Kano among them — and produces scenario analyses, financial modeling (margin and revenue impact of a proposed premium tier), and an executive-ready deck. It's positioned as a co-pilot, not an autopilot: your team supplies the customer data and judgment; the platform compresses the analysis-to-recommendation timeline from weeks to minutes.
The honest boundary: Percision won't collect your survey data or replace direct customer conversations. Kano's inputs still come from your customers. What the platform accelerates is the synthesis — connecting classification to financial scenarios to an execution roadmap.
You can see how that analysis runs at percision.app.
What this looks like when the analysis is actually run
The underpriced product here is not merchandise. It is the store itself, sold to a landlord for less than the traffic it generates.
The subject is Marlin & Crowe, a sample company profile we use for testing rather than a customer: a specialty outdoor retailer, $215M revenue, 62 stores.
Excerpt from a real Percision run · Pricing Strategy (T2) · sample company profile
What the store is worth to the person charging rent. The 21 destination stores fulfil 34% of e-commerce units and process 71% of online returns, so landlords face material traffic and co-tenancy risk if any flagship closes.
What that leverage is being used for. Renegotiating the 21 destination-store leases that expire within 24 months, targeting a 3–5% occupancy-cost reduction while extending average lease tenor from 5 years to 8 years.
What it protects. Four-wall margin held at 14.1% against a potential 11.9–12.3% under rent escalation — preventing a 180–220 bps margin transfer to landlords, on stores running at $421 per square foot against 5.8% four-wall margin for the mall fleet.
What it costs. $0.15–0.25M in legal, brokerage and modelling fees — 3–5 external counsel hours per lease across 21 leases at a $2,500 blended hourly rate — for a 6.8× return on a $0.2M midpoint via $1.4–2.7M of annual EBITDA uplift. Zero incremental headcount, executed by the existing real-estate and finance teams.
The stop. Fewer than 14 of 21 landlords agreeing terms by Month 9, or traffic density below 120 visitors per square foot per day for two consecutive quarters.
| Assumption | Probability |
|---|---|
| Landlords accept 3-5% rent reduction rather than risk flagship vacancy | 0.75 |
| Destination traffic remains ≥120 visitors/sq ft/day through lease negotiations | 0.8 |
| Fixed-charge covenant headroom stays ≥0.19× during negotiation window | 0.85 |
This is the money-left-on-the-table finding, and it sits on the wrong side of the P&L from where most pricing work looks. The stores are the anchor tenant's anchor: they draw the traffic the co-tenancy clauses are written around, and none of that has ever been priced into a renewal.
Turning it into 3–5% of occupancy cost and three extra years of tenor for $200K of legal fees is the cheapest margin available anywhere in the business — considerably cheaper than finding 180 basis points in merchandise.
Read a complete Percision report — every page, no email required.
FAQ
How many customers do I need for a Kano survey? There's no fixed number, but a few dozen responses per key segment is usually enough to see clear category patterns for a focused SKU or service set. Directional clarity matters more than statistical perfection for pricing decisions.
Can Kano tell me the exact price to charge? No. Kano tells you which features justify a premium and which don't. You still need willingness-to-pay testing or a price experiment to set the actual number.
Isn't a straight margin analysis enough to find underpricing? Margin analysis tells you where profit is thin; it can't tell you why customers would tolerate a higher price. Kano adds the demand-side lens — the reason a price increase sticks rather than driving customers away.