Behavioral Segmentation: Store Examples

Behavioral segmentation groups customers by actions such as purchases, product views, and repeat visits. For a Shopify store, the practical question is which action should change the message you send. Start with a behavior you can verify, then choose a useful response and a clear stopping point.

What is behavioral segmentation?

Behavioral segmentation describes what customers do, including what they buy, when they return, and which products they explore. It helps you offer different guidance to a new buyer, a regular customer, and someone considering a purchase.

Demographic segmentation describes traits such as age or income. Geographic segmentation describes location, while psychographic segmentation considers attitudes, interests, and motivations. A purchase gives you evidence of an action; understanding the reason behind it may require asking the customer.

Imagine a coffee store with customers living in the same neighborhood. Someone buying a grinder may need setup guidance, while a regular bean buyer may appreciate a restock reminder. Their location is shared, but their recent actions suggest different messages.

The benefit is a clearer decision about content, timing, and budget. You can reserve an incentive for a specific test instead of discounting a whole mailing list. Results still depend on the offer, product, audience, and execution.

For the broader framework, see the Shopify customer segmentation guide. This guide focuses on turning an observed action into a campaign you can evaluate.

Choose a behavior you can observe

Purchase behavior, occasion, benefits sought, and loyalty are familiar categories. Usage and engagement add useful detail when you have evidence for them. The examples below are hypothetical store scenarios, rather than reports of campaigns stores have run.

Purchase behavior: match the next useful step

Purchase behavior includes the products someone buys, how often they order, and how recently they bought. These signals can help distinguish a new customer from someone with an established buying pattern.

A skincare store could identify cleanser buyers who have not bought a moisturizer. It could explain which moisturizers suit the cleanser, while excluding customers who already bought the suggested product. A complementary purchase is an opportunity to test, rather than evidence that the customer needs another item.

Decision behavior also matters. Someone comparing expensive furniture may need delivery details and material information before an offer. Choose the response that addresses the likely obstacle, and check that your available records support the audience definition.

Occasion: look for a repeatable reason to contact

Occasion segments connect purchases with seasonal events, gifts, or recurring routines. A gift store could review customers who bought during the previous holiday season and offer a gifting guide.

Buying in December does not establish which holiday someone celebrates or whether the purchase was a gift. Use neutral seasonal language unless the customer shared a preference. For a replenishment product, check your own customer buying patterns before deciding when a reminder would help.

Benefits sought: confirm the motivation

Benefits sought describes what a customer wants from a product, such as convenience, comfort, or lower cost. A haircare store could use an optional preference question to distinguish customers seeking volume from those seeking moisture.

A product purchase may suggest a benefit, but it does not confirm the customer's main concern. Someone buying a discounted item may have wanted that exact product regardless of price. Keep inferred preferences tentative, and use feedback to improve them.

Loyalty: distinguish regular buyers from recent buyers

Loyalty segments identify patterns of repeat buying and continued interest. A clothing store could offer early access to customers who buy regularly, while sending product care guidance to new buyers.

Repeat purchases are a useful signal, but they do not prove an emotional attachment to the brand. Consider whether subscription orders, practical needs, or promotions explain the pattern. Give an occasional customer a message suited to their purchase instead of assuming they need a loyalty incentive.

Usage: separate buying from using

Usage segments describe how often someone uses a product or service. For physical products, order frequency usually shows purchasing rather than actual consumption. A buyer might be purchasing gifts or supplies for several people.

A supplement store could ask customers about their routine before suggesting a replenishment reminder. Without that information, describe the group as repeat buyers, rather than heavy users. Accurate labels help the team avoid writing messages that assume knowledge it does not have.

Engagement and buying stage: respond to the action

Engagement includes product browsing, cart activity, and interactions with campaigns. These signals can distinguish a prospect considering a product from a customer who has already bought it.

A shopper who leaves a cart may need shipping information, while a new owner may need setup instructions. Use browsing and cart groups only when your tools provide the relevant records and permission to contact. A product view alone does not establish that someone is ready to buy.

Remove buyers from purchase reminders so they receive guidance appropriate to their current stage.

Give a second purchase time to happen

A missing early second order does not establish that a buyer is lost. Compare the gap with your store's usual purchase cycle before treating it as a reason for a recovery offer.

The chart gives context, rather than a recommended campaign schedule. It does not show whether reminders caused purchases or when an individual customer will return. A furniture store and a coffee store should consider different replacement needs, even when both sell online. A timely cart reminder addresses unfinished checkout; a replenishment reminder depends on when another purchase would be useful.

Turn the segment into a campaign

Start with a business goal, then define a group whose behavior makes a different message useful. More segments create more work, so begin with a group you can understand and serve well.

Choose the outcome. For example, help new coffee customers make a second purchase. Decide whether success means another order, more revenue, or better profit before choosing a message.

Write the audience rule in plain words. Select customers who bought beans and have not ordered again. Choose the waiting period from your store's purchase history, then check a few customer records to confirm that the group makes sense.

Check the data and permissions. Confirm that product names, purchase dates, and customer records are consistent in the tool you use. Respect marketing preferences and unsubscribe requests. A purchase history is not automatic permission for promotional messages.

Choose a message and an exit rule. Offer brewing guidance or a relevant restock reminder. Stop the reminder when the customer orders again. Exclude people already receiving a similar campaign so overlapping segments do not create competing messages.

Test against a comparable group. Randomly leave some eligible customers out of the new campaign where practical. Compare repeat orders over the same period, and check discounts, margin, unsubscribes, and complaints. A group buying more than another group does not, by itself, establish that your message caused the difference.

Review the audience before the next send. Customers can move from prospects to buyers or from occasional to regular purchasers. Recheck the rules when products, seasons, or buying patterns change. If a group is too small to evaluate clearly, broaden a relevant rule rather than dividing it further.

The SKU segmentation guide goes deeper on choosing audiences around products. When you need rules based on order history and spend, By the Numbers' customer segments can define groups and apply them as filters to many reports.

The next step is to write down the behavior, the message it changes, and the action that ends the campaign. If those choices are unclear, simplify the segment before adding another condition.

How we measured these benchmarks

These benchmarks use anonymized, aggregated data from Shopify stores in the By the Numbers network. No individual store is identifiable from any figure. Stores that use an analytics app are not a random sample of all Shopify stores, so read the figures as a reference point, not as an average for the whole market.

Keep reading

If you want the full picture on customer segmentation, start with customer segmentation for Shopify.

Related reading: Which Customer Segments Predict the Next Order?, Build Segments That Self Update in Shopify and Segmentation Mistakes Shopify Stores Make.

By the Numbers builds this into the dashboard. See customer segments.