Types of Market Segmentations and Their Applications C+R

Attitudinal segments are typically formed through multivariate analytical techniques, such as cluster analysis. For example, combining attitudes with other variables such as demographics can help to “flesh out” a segment, giving it more description and character. It can also be useful in determining who the target audience should be – which segment of customers is likely to be a good fit for a particular product, service or business.

With this in mind, being able to make your attitudinal segmentation actionable on your database should be a key part of your customer engagement strategy. Print key termexport to Google Doccopy citationcopy link to this pagereport error It is especially useful when emotions, identity, or values affect buying decisions. Behavioral segmentation looks at actual actions, like purchase frequency, brand loyalty, or usage rate. Attitudinal segmentation fits inside psychographic segmentation because both focus on the customer’s mind, not just external traits. You will also see this term when comparing it with other segmentation methods.

In order to group consumers based on different psychographic patterns, like their personalities, lifestyles, and belief systems, you need to actively reach out to them. You can use psychographic segments to create marketing campaigns that deeply resonate with your consumers' Attitudinal market segmentation emotions and motivations, thereby fostering brand loyalty and awareness. As a marketer, market segmentation helps you break down a vast customer base into smaller, more specific sub-groups of consumers who share common traits, characteristics, and attributes. Your brand might start with demographics as a first cut but then layer in behavioral data to understand what customers do, as well as psychographic data to understand why they do it.

A retail company identifies loyal customers using behavioral data (e.g., repeat purchases). Advanced analytics tools, such as machine learning and natural language processing, can uncover patterns in customer behavior and sentiment. For instance, a company identifying its most loyal customers through behavioral segmentation can use attitudinal insights to create rewards programs that resonate deeply with this group. That can improve targeting, strengthen brand loyalty, and make ads feel more relevant.

Practical use cases: How brands benefit from attitudinal data

The service also supports influencer and audience signals so brand teams can connect conversation volume to engagement patterns. Advanced features support alerting, report exports, and integration patterns that fit marketing, risk, and customer insight teams. Core capabilities include ongoing brand health tracking, survey-based awareness and consideration measurement, and segmentation that links brand perceptions to target audiences. GfK stands out for combining long-running consumer research infrastructure with brand tracking expertise across multiple categories and markets. Reporting supports repeated waves and trend analysis so brands can monitor movement over time across markets and channels.

• You can use psychographic segments to create marketing campaigns that deeply resonate with your consumers' emotions and motivations, thereby fostering brand loyalty and awareness.
• Customer segmentation, on the other hand, is the process of dividing a customer base into smaller groups of customers with similar needs or preferences.
• To accomplish this, marketers have long relied on behavioral data to identify and engage audiences.
• That can improve targeting, strengthen brand loyalty, and make ads feel more relevant.

A company selling reusable water bottles, for example, might find one segment focused on sustainability, another on fitness, and another on style. Brandwatch emphasizes dashboarding, alerting, and export patterns that fit marketing, risk, and customer insight teams. Dentsu Insights supports continuous brand tracking across markets with planning integration, which helps connect brand measurement outputs to messaging evaluation and activation learning loops. YouGov adds messaging measurement tied to attitudinal segments, which helps interpret shifts in awareness and consideration alongside creative and media decisions. Ipsos is built for driver analytics by combining segmentation, performance drivers, and category-level brand health reporting with qualitative inputs.

In this blog, we’re going to discuss a few of the most common, and most useful, types of customer segmentations that will help build a nuanced understanding of your customers. A clinic identifies patients who haven’t visited in a year through behavioral data. A bank uses behavioral segmentation to target customers interested in investment products. The company launches a VIP program offering early access to new products and personalized styling sessions. A company might use attitudinal segmentation to identify eco-conscious customers and promote sustainable products to this group.

This approach leads to increased customer satisfaction, brand loyalty, and business growth when personalization is table stakes in growing a brand. Additionally, attitudinal segmentations can inform tailored marketing strategies, refine brand positioning, and deliver more personalized customer experiences. It enables brands to create meaningful connections with their target audience and establish long-lasting relationships because they speak to the segment, rather than to a generic audience. As we’ll see, brands can leverage attitudinal segmentations to personalize their messaging, positioning, product offerings, and brand experiences.

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Common methods include surveys, focus groups, psychographic profiling, and implicit association testing, all aiming to uncover deeper consumer motivations. These insights shaped the client’s entire strategy, from positioning to creator content, helping them generate £41k in revenue within the first month. Bright/Shift used GWI to uncover what truly mattered to their client’s target audience – balancing eco values with price sensitivity and social proof. Whether you want to slice your audience by attitudes alone or mix them with demographics and behavior, GWI helps you zoom in on the right people, so your message lands where it counts. With simple APIs, you can pull this data right into your dashboards or tools, so your team gets the “why” behind customer behavior without spending hours hunting for answers.

Rather than choosing one of the above approaches to customer segmentation, most brands will want to take a combined approach. By analyzing past actions, behavioral segmentation allows you to group individuals with similar behaviors. However, demographics alone will not deliver a particularly sophisticated form of segmentation compared with psychographics. Demographics is the most widely used form of market segmentation and delivers basic customer insights that can inform broad audience segments.

That is a big part of how marketers build a value proposition that feels relevant instead of generic. When a company uses language about trust, status, sustainability, or convenience, it is usually trying to match a segment’s existing beliefs. If you only look at demographics, you might miss the real reason people choose one brand over another. In practical terms, attitudinal segmentation helps a company decide which message belongs to which audience.

Demographic research can provide some very useful information about your target audience, but it definitely doesn’t tell the whole story. Test creative or product concepts using an automated approach to analysis and reporting. With SurveyMonkey market research solutions, you can bring those insights to life.