How to Find Value Shoppers and Calculate Their Value

Value shoppers are customers who buy mainly on price. They compare offers, collect coupons, wait for discounts and stock up when a deal looks good. You find them in your order data, not in a persona workshop: look for customers who order with a discount again and again, and whose order value rises when a promotion runs.

This guide explains what value shoppers are, where they fit in customer segmentation, how to find them, how to calculate their value with average order value and margin, and how to sell more to them without losing profit. Omniconvert Commander (formerly Nexus), the AI eCommerce growth engine, does the segmentation and profit side of this work from your store data.

What are value shoppers?

You have probably heard of "value for money": what people expect to get from a product or service in exchange for the price they pay. But value is a slippery idea. Do people value the price, the features, or the way a product fits into their lives?

In a Harvard Business Review article, James C. Anderson and James A. Narus captured the idea in one equation:

Value_s and Price_s are the value and price of the supplier's offer, and Value_a and Price_a are the value and price of the next best alternative. The difference between value and price is the customer's incentive to buy. Put simply, the incentive to buy your offer must be bigger than the incentive to buy the next best alternative.

However a store frames its prices and value statements, some customers will always care most about the price. Those are value shoppers. They typically:

• Compare prices online and offline, and spend time doing it.
• Collect coupons and hunt for discounts before they buy.
• Buy in bulk and stock up when they feel they got a good deal.
• Go further to save: they will drive past the nearest grocery store to save a few cents.
• Switch brands easily: they may like a pricier product but still pick the cheaper alternative.
• Stick to a budget, whatever that means for the rest of their shopping behavior.

For a value shopper, a purchase is good when it saves money. That makes price the first lever to read, and the first lever to test.

Where value shoppers fit in customer segmentation

There are many ways to approach customer segmentation. Benefit segmentation tells you why someone buys a product. Usage segmentation sorts customers by how much they use it: heavy, medium, light or occasional users. Interests and psychographics paint a fuller portrait of your ideal buyer.

Lifestyle frameworks such as the Minerva model, GfK's Roper Consumer Styles and the values and lifestyles (VALS) framework describe the mentality of shoppers: their emotional drivers, and the hopes they project onto what they buy. Value shoppers appear in each of them, under different names.

NIQ, which now runs Roper Consumer Styles, describes the Rooted segment as consumers who "tend to be thrifty" and the Easy Going segment as "most concerned about financial security" [NIQ, 2024]. These maps say a lot about psychology and little about shopping behavior. For a store, the useful question is behavioral: what do these customers buy, at what price, and when? That is where behavioral segmentation takes over.

Why value shoppers matter: are they your most valuable customers?

Every store needs to know which customers bring it the most value. Some teams focus on high spenders, others on value shoppers. Value shoppers earn their place for one reason: if you identify them correctly and keep them satisfied, with good deals and affordable upsell and cross-sell offers, they come back for more. In many stores they are a large group, so check how big the group is in your own data before you plan around it.

To sell to them well, learn their path to purchase: the messages they respond to, the moment they decide to buy, the occasions when they use coupons and the best time to make them an offer. Then compare them with your other groups. The steps to identify your best customers apply here too, and together all your segments make up your customer equity.

How to find value shoppers in your store data

Your analytics tool can show how much each customer spends, and campaign tracking shows which purchases came from a discount campaign, as long as a UTM link ties each order to its campaign. Combine both in five steps.

1. Export order-level data

   For each order, keep the customer ID, date, products, list price, price paid, discount code and campaign source (UTM). Use at least twelve months, so seasonal sales do not distort the picture.
2. Calculate each customer's discount share

   Discount share is defined as the number of a customer's orders placed with a discount or coupon, divided by their total orders. Look only at customers with three or more orders.
3. Compare promotion months with regular months

   Calculate each customer's average order value in months with a promotion and in months without one. Value shoppers buy noticeably more when a deal runs.
4. Check what they buy

   Look at the product mix: cheaper alternatives, bulk packs, products on sale. Compare it with the products that carry your margin, as in the guide to finding your most profitable products.
5. Add recency and frequency

   Score the group with RFM segmentation. A value shopper who orders every week is a different customer from one who appears once a year for a sale.

The mistake practitioners make most often here is to label every customer who used a coupon as a value shopper. Coupon codes leak to code sites and browser extensions, so many full-price buyers type one in at checkout because the field is there. Tag them as value shoppers, send them more discounts, and you train customers who would have paid full price to wait for the next code. Your margin falls and your "value shopper" segment looks bigger than it is. One coupon is an event; a discount share above half across several orders is a pattern.

How to calculate customer value for value shoppers

Start with the formula you already use to measure shopper value: average order value (AOV), calculated per customer and filtered by period. Average order value is defined as the total revenue from a set of orders divided by the number of those orders.

Take an online grocery store that sells both premium foods and cheaper staples. One customer buys once a week. In June, a regular month, they place 4 orders worth $150 in total:

In September the store runs a strong discount on premium foods, a bundle deal and bulk prices on some products. The same customer still orders once a week, but spends more:

AOV rose by 67%. Now apply the filters: what changed in their product choices, which offers they used, when they used them, and what stayed the same. If their buying rhythm held at once a week, which orders contained their usual products and which contained the premium ones?

Then add margin, because a discount lowers it. The numbers below are illustrative.

A 67% rise in AOV added only $5, or 11%, in gross profit. Had the discount cut margin to 15%, September would have earned $37.50, less than June. This is why you calculate customer value for value shoppers in profit, not revenue. For a long-term view, use the lifetime version of the calculation, explained in the CLV formula and calculation:

This is a simplification, but you get the point. The opposite result is also useful: if a value shopper's AOV does not rise, whatever offers you make, the offers were either badly targeted or wrong for the category they buy. Either way, you learn their preferences and the best time to offer them a deal, an upsell or a cross-sell. The full method is in the customer lifetime value guide.

How to sell more to value shoppers without eroding margin

Cross-selling

Recommend products related to their last purchase or their purchase history. The guide to cross-selling and upselling strategies covers the placements that work.

Upselling

When they add a product to the cart, suggest a similar one at a slightly higher price and with clear extra benefits. For a value shopper, the extra benefit must read as savings: a bigger pack at a lower unit price works better than a premium version.

Free shipping

Extra costs are the top reason shoppers abandon a cart: 40% of US online shoppers who abandoned one, leaving aside those just browsing, named extra costs that were too high [Baymard Institute, 2025]. A free shipping threshold just above your current AOV removes that cost and raises order value at the same time.

Bundle deals

Combine related products into a bundle at a better price. Product bundling gives value shoppers the saving they look for and moves products you want to sell.

Bulk discounts

Value shoppers stock up when a deal is good. Price by quantity, so the discount grows with the order and your margin per order holds. More ways to raise order value are in the guide to increasing average order value.

Plan the calendar too. A clear eCommerce discount strategy decides when value shoppers get an offer, so promotions do not run so often that they become the normal price.

Real-world example: testing offers before you scale them

A bundle, a shipping threshold or a bulk price can raise order value or simply give margin away. The way to know is to test it on part of your traffic before you roll it out. AliveCor used Omniconvert to run a structured A/B testing program and achieved a 21 percent lift in conversion rate, a 5 percent lift in revenue per visitor, and 94 percent statistical relevance across their experiments [Omniconvert, AliveCor case study]. Revenue per visitor is the number to watch for value shoppers, because it shows whether an offer earns more from the same traffic or only shifts the same spend into cheaper orders.

How Omniconvert Commander helps you find value shoppers

You can find value shoppers by hand: follow your store analytics closely, export orders and make the correlations yourself. Or let Omniconvert Commander do the work. It uses your customer intelligence data to group customers into RFM segments, and it calculates customer lifetime value and True Profit per order and per customer. That tells you which segments buy at a profit and which buy only when you pay for it.

Omniconvert Commander then pushes the segments directly to Meta Ads, Google Ads and Klaviyo. Your profitable value shoppers get bundles and bulk prices, your high spenders get new products and service, and nobody gets a discount they did not need. If value shoppers are your best shoppers, understand them and serve their preferences.

Value shoppers FAQs