Hypersegmentation: What Is It and How Does It Work?

Melanie Vergeer

Whitepaper Hypersegmentation

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Customer segmentation is the process of dividing your customer base into smaller groups based on shared characteristics, such as behavior, needs, or purchase value. Hypersegmentation is the most sophisticated form of this: making segments so small that you ultimately communicate with each customer on an almost one-on-one basis.

Both approaches are based on the same principle. Rather than sending the same message to everyone, you tailor your approach to each segment based on what each customer truly needs. Companies that implement this effectively increase their profitability by taking specific preferences and differences among their customers into account.

In this article, we'll explain exactly what customer segmentation and hypersegmentation entail, what models and criteria exist for B2B and B2C, how to set up a segmentation model, and how to measure the results.

Table of contents

What is customer segmentation (and hyper-segmentation)?
Why Customer Segmentation Is Important: B2B and B2C
Customer Segmentation vs. Target Audience Segmentation: What's the Difference?
What customer segmentation models and criteria are there?
From Customer Segmentation to Hypersegmentation: How Far Can You Go?
Static vs. Dynamic: Trends in Customer Segmentation
Developing a Customer Segmentation Strategy: A Step-by-Step Guide
Measuring Customer Segmentation: The Key KPIs
Common Pitfalls in Customer Segmentation
Hypersegmentation with Ternair

What is customer segmentation (and hyper-segmentation)?

Customer segmentation is the process of grouping customers based on shared characteristics—such as needs, behavior, or purchase value—so you can serve each segment in a more targeted way. Instead of offering a single solution to your entire customer base, you tailor your product, message, and channel to the needs of a specific group of customers.

A customer segment consists of customers with similar needs and behaviors. Segments can be large, such as all customers in the same life stage, or small, such as customers who buy only one specific product. How small you make your segments depends on your customer data and your business model.

Hypersegmentation is at the very end of that spectrum: refining segments to the point where you essentially tailor an offer to each individual customer. Whereas segmentation divides customers into groups, hypersegmentation divides them into groups of one. This requires more data and more automation than traditional segmentation, but it also results in the most relevant customer approach.

Hypersegmentation at Ternair

Why Customer Segmentation Is Important: B2B and B2C

Without segmentation, you send every customer the same message, regardless of what that customer needs or where they are in their customer journey. That costs you conversions, because a message that isn’t tailored to anyone doesn’t really appeal to anyone. Segmentation solves this problem, but the way you segment differs significantly between B2B and B2C.

Customer Segmentation in B2B

In B2B, you typically deal with fewer customers, each of whom represents greater value. A single large customer can almost be a segment in its own right. Furthermore, the purchasing decision often does not rest with just one person: multiple decision-makers and stakeholders within an organization are involved, each with their own priorities.

For example, a business software provider can distinguish between small businesses that want to get started quickly and enterprise customers who want to conduct a thorough comparison first.

Customer Segmentation in B2C

In B2C, you work with much larger volumes and shorter decision-making processes. Customers are more likely to make impulse purchases and are less influenced by a lengthy decision-making process. Demographic and behavioral criteria generally work better here than in B2B.

For example, an online store can approach new visitors differently than returning customers who have already made multiple purchases.

B2B and B2C at a Glance

Criterion	B2B	B2C
Number of customers	Small, high value per customer	High volume, lower value per customer
Decision-Making Process	Multiple decision-makers (DMU), long-term process	Often a single decision-maker, short process
Key Criteria	Industry, company size, purchasing behavior	Demographics, life stage, behavior
Duration of the Relationship	Long-term, contractual	Variable, often transactional

Whether you operate in B2B or B2C, the principle remains the same. The better your segments align with actual differences among customers, the more targeted your communication will be, and the higher your conversion rate will be.

Customer Segmentation vs. Target Audience Segmentation: What's the Difference?

Customer segmentation and target audience segmentation are often used interchangeably, and for good reason. Both are based on the same principle: dividing a large, diverse group of people into smaller, more homogeneous groups. The difference lies in the approach.

Target Audience Segmentation: Same Principle, Different Perspective

Target audience segmentation typically focuses on a broader audience, with an eye toward marketing campaigns and media selection. Customer segmentation is more specific: it involves your existing customer base, based on data you already have about those customers. In practice, you often use the same criteria, but customer segmentation applies those criteria to customers you already know rather than to an as-yet-unknown audience.

The 5 Types of Target Audiences

Depending on your business model, you serve one of these five types of target audiences.

Mass market.
The segmentation criteria are the least strict. You tailor your value proposition, distribution channels, and customer relationships to a single large target audience. This is particularly common for consumer products, such as electronics.
Niche market.
The opposite of a mass market. You tailor your value proposition, distribution, and customer relationships to very specific requirements. This is common among B2B suppliers and their customers.
A segmented market.
You target multiple segments of the target audience at the same time. Consider, for example, banks with separate offerings for investors with up to 100,000 euros and high-net-worth individuals with more than 1 million euros in assets.
A diversified market.
Multiple segments that operate independently of one another. Large companies sometimes serve both B2B and B2C customers, using a completely different approach for each customer type.
Multi-sided market.
You serve two sides of the same market, each with its own approach. For example, credit card companies serve both cardholders and the merchants that accept the cards.

The type of target audience you serve determines how many different customer segments you need and how far you can go in defining them.

What customer segmentation models and criteria are there?

There are several ways to segment customers. Which model works best depends on your industry, your data, and whether you operate in the B2B or B2C sector.

Demographic, geographic, behavioral, and psychographic

These four models form the basis of most segmentation strategies.

Demographic: Segment customers by age, gender, income, or household composition. This works especially well in B2C.
Geographically: Group customers by location, region, or climate. This is useful if your offerings vary by area, for example, due to regulations or the season.
Behavioral: Segment based on purchasing behavior, frequency of use, or brand loyalty. Can be directly linked to specific actions, such as a win-back campaign for customers who have become less active.
Psychographic: Segment customers based on lifestyle, values, and interests. This requires more research, but it often provides a better explanation of why a customer buys something, not just what they buy.

Technographic and the RFM Model

In addition to the four classic models, there are two that go beyond simply who your customer is.

Technical: Segment based on the technology a customer uses, such as a platform, software, or devices. This is particularly relevant in B2B, where the technical environment often determines which solution is appropriate.
RFM (Recency, Frequency, Monetary): Segment customers based on how recently they made a purchase, how often they bought, and the amount of their purchases. This yields immediately actionable segments, such as loyal customers and dormant customers. Loyalty campaigns are a common way to reward and retain your fans.

When is a segment useful?

Not every distinction between customers constitutes a good segment. A useful segment meets four criteria:

Homogeneous. Customers within the segment appear to be quite similar to one another.
Accessible. You can actually target that segment through a channel.
Measurable. You can determine the size and behavior of the segment.
Profitable. The market segment is large enough to be worthwhile.

If a segment doesn't meet these conditions, it will take more time than it's worth, so you're better off merging segments or adjusting the criterion.

From Customer Segmentation to Hypersegmentation: How Far Can You Go?

Customer segmentation and hypersegmentation are not two separate concepts. They fall along the same spectrum, ranging from broad segments to offers tailored to each individual customer.

Hypersegmentation: Personalization Down to the Individual Customer Level

Hypersegmentation is the point at which a segment consists of just one customer. Instead of sending the same message to a group of customers, you tailor that message to the specific data of that one customer: their purchase history, their preferences, and their behavior at that moment.

Here's an example. Where traditional segmentation sends an e-mail, targeting "customers who purchased product X last month," hyper-segmentation sends a message that takes into account what that specific customer already owns, when they typically make purchases, and through which channel they prefer to respond.

Hypersegmentation yields the most relevant customer approach, but it isn't immediately feasible for every company. It requires:

Sufficient customer data, collected from multiple sources
A system that centralizes and combines that data, such as a Customer Data Platform.
(Marketing) Automation, because manually putting together an offer for each customer isn't scalable

If you haven't established that foundation yet, start with broader segments and refine them step by step as you collect more data and expand your automation. Hypersegmentation is a growth path, not a starting point.

Static vs. Dynamic: Trends in Customer Segmentation

Customer segmentation isn't a one-time exercise. Customer behavior is constantly changing, and your segments need to adapt accordingly.

Why Static Segments Become Outdated Quickly

A traditional segment is often a snapshot: you export customer data, categorize customers, and use that categorization for weeks or months. A customer who is currently in the “active buyer” segment may have long since stopped engaging two months later. Without an update, they’ll remain in the wrong segment, and your message will no longer be relevant.

AI-driven, real-time segmentation

Real-time segmentation automatically updates segments based on current behavior, rather than on data exported months ago. A customer is then automatically moved to a different segment as soon as their behavior changes.

AI enhances this. Machine learning identifies patterns that are difficult to detect through manual analysis and predicts which segment will become valuable. In this way, segmentation shifts from descriptive to predictive.

The smaller your segments become as you move toward hypersegmentation, the faster a manual update falls behind reality, and the more important real-time segmentation becomes.

Developing a Customer Segmentation Strategy: A Step-by-Step Guide

Developing a customer segmentation strategy isn't a complicated process, but it is a step-by-step process. Here are the six steps.

Setting Goals. What do you hope to achieve with segmentation? Higher conversion rates, greater customer value, or more targeted communication—each requires a different approach.
Collect and centralize customer data. Import data (first-party or third-party) from your various systems, such as your online store, email tool, and CRM. Scattered data results in incomplete segments.
Select segmentation criteria and a model. Based on your goals and available data, choose the model that best fits your needs: demographic, behavioral, RFM, or a combination.
Compile and validate segments. Group customers according to the selected criteria and assess whether each segment is homogeneous, accessible, measurable, and profitable.
Enable segments in campaigns and channels. A segment only has value once you actually communicate with it—via email, a specific channel, omnichannel or a personalized selection.
Measure, test, and refine. Monitor whether segments are performing as expected and make adjustments as needed. Segmentation is a never-ending process.

Start small. A few broad, effective segments are more valuable than ten finely targeted segments that you never activate.

Measuring Customer Segmentation: The Key KPIs

Segmentation without measurement is just a guess. These KPIs show whether your segments are actually contributing to results.

KPI	What it measures	How to Calculate It
Conversion Rate by Segment	What percentage of a segment takes the desired action?	Number of conversions divided by the number of customers in the segment × 100
Customer Lifetime Value (CLV) by Segment	The expected value of a customer in that segment over the entire customer relationship	Average purchase value × purchase frequency × customer lifetime value
Retention and churn percentage	How many customers in a segment remain active versus drop off	Number of active customers at the end of the period divided by the number of customers at the beginning of the period × 100
Average order value by segment	The average amount a customer in this segment spends per purchase	Total revenue for the segment divided by the number of orders

Compare these KPIs across segments, not just within a single segment over time. A segment with a low conversion rate but high customer value requires a different approach than a segment that lags behind in both areas.

Common Pitfalls in Customer Segmentation

Even with the right models and data, customer segmentation often goes wrong. These are the most common pitfalls.

Segments that are too broad or too narrow. A segment that includes your entire customer base won't yield a targeted message. On the other hand, a segment of just three customers is too small to serve profitably. Find the balance that works best for your data sources and capacity.
Segments that overlap without a clear priority. A customer may fall into multiple segments at the same time. Without clear rules about which segment takes precedence, you’ll send conflicting messages or contact the same customer multiple times.
Segmenting based on outdated or fragmented data. Segments are only as good as the data behind them. Data that's scattered across separate systems or that you last updated months ago leads to segments that are no longer accurate.
Segment without activating the segments. Creating a segment and then doing nothing with it yields no results. Segmentation only has value once you actually tailor campaigns, offers, or communications to it.

Hypersegmentation with Ternair

Every step described in this article, from centralizing customer data to enabling hypersegmentation, is reflected in the Ternair platform. Ternair's customer data platform consolidates customer data from all your systems into a single, centralized customer view, so you no longer have to work with scattered or outdated data but instead have an up-to-date foundation for every segmentation model, from demographic to RFM.

Hypersegmentation is a core feature within that platform, built on this customer profile and integrated with Ternair's marketing automation. RFM segments, such as fans and dormant customers are immediately available in Ternair Campaign, allowing you to use them in a campaign right away without having to export or set up a connection.

You can then track the results on the same platform. Via the Report Center With Ternair, you can track your conversion rate, customer value, and other KPIs by segment, so that segmentation, activation, and measurement come together in a single environment without having to switch between separate tools.

FAQ

Frequently Asked Questions About Customer Segmentation

What is the difference between target audience segmentation and customer segmentation?

Target audience segmentation typically focuses on a broader, as-yet-unknown audience for marketing campaigns. Customer segmentation applies the same criteria to your existing customer base, based on data you already have about those customers.

What exactly is hypersegmentation?

Hypersegmentation is the most refined form of customer segmentation, in which a segment ultimately consists of a single customer. Instead of sending the same message to a group of customers, you tailor it to the specific data of that one customer.

Is customer segmentation right for my business?

Yes, customer segmentation works for any business, whether it has a large or small team, and in any industry. How detailed your segmentation is depends on your customer data and goals, not on the size of your organization.

What are the benefits of customer or target audience segmentation?

Companies that effectively implement customer segmentation achieve, on average, a 20% to 50% higher return on investment by taking into account specific preferences and differences between segments within their target audience.

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