HomeBlogMarketing NewsWhat Is Psychographic Segmentation? Examples and Best Practices

What Is Psychographic Segmentation? Examples and Best Practices

Lifestyle Segmentation in Marketing: Definition, Types & Real-World Examples

Personality-based market segmentation

CleverTap has been designed with Living Cartography at its core, providing brands with a modular, agile system that supports every stage of the customer engagement lifecycle. AI enables continuously updated consumer groups based on new behaviors, allowing brands to adjust campaigns instantly, deliver hyper-personalized experiences, and create niche segments. AI anticipates future consumer behavior by analyzing past purchase patterns and real-time engagement, helping brands identify trends, tailor product recommendations, and optimize marketing strategies. Exploring how top brands use lifestyle segmentation provides key insights for marketers. It recognizes that residential location strongly influences lifestyle patterns and consumption preferences.

Highly extroverted consumers tend to respond better to social proof and aspirational messaging while highly conscientious consumers respond better to detailed product information and reliability-focused communication. Common dimensions include introversion versus extroversion, openness to new experiences, conscientiousness, and emotional stability. A campaign built on psychographic insight tells them you understand what they care about. A campaign built on demographic assumptions tells a customer what they look like on paper. Developed in the 1970s, psychographic segmentation applies behavioral and social sciences to understand consumers’ decision-making processes, attitudes, and communication preferences. Psychographic segmentation categorizes audiences based on internal drivers such as beliefs, values, interests, attitudes, personality traits, and lifestyle patterns that influence how they think and behave.

A useful illustration is a scatter plot with all of the respondents' answers that shows clusters of respondents who answered the survey questions similarly. Natural clusters or segments emerge from groups of respondents who answer the survey questions in a similar manner. That target audience could be representative of the general population, a specific demographic or socioeconomic group, a population of consumers who utilize a certain product or service category or any group of people relevant to one's Personality-based market segmentation research or business objectives.

  • That means that the personality traits of each person specifically influence the motivation to buy, whether it is a product or service.
  • All of this psychographic information enables you to refine your target audience from a broad 300,000 to a focused 40,000 people who you are better off targeting.
  • This offers a fuller, richer understanding of their target audience, and can help businesses to anticipate future needs and desires.
  • There are several methods to collect psychographic data, but the easiest one is to use surveys to learn more about them.
  • Overall, market segmentation remains a critical tool for businesses aiming to connect meaningfully with their target audiences.

Enhanced communication

Personality-based market segmentation

Take a look at the following steps if you’re interested in using segmentation variables today. Before segmenting your audience, set clear goals, verify viability, select the right tools, and choose the best approach. However, this type of content can be vague and irrelevant to your target audience. It can be tempting to build marketing campaigns with generic, non-personalized content; after all, it’s easy and fast.

Personality-based market segmentation

In practice, marketers implement market segmentation using the S-T-P framework, which stands for Segmentation → Targeting → Positioning. Business-to-business (B2B) marketers may segment markets based on company type, industry, or geographic location, while business-to-consumer (B2C) marketers often segment customers by demographic, behavioral, lifestyle, or socioeconomic criteria. The goal is to identify high-yield segments—those likely to be the most profitable or exhibiting growth potential—so they can be prioritized as target markets. The objective is to identify profitable and growing segments that a company can target with tailored marketing strategies. Use AI personas of users and customers, including those hard-to-reach, to run surveys, interviews and market research. Engage virtually with personas and gain insights by asking them anything you'd like to know about your customers, users or employees.

How to collect and use psychographic data with surveys: 5 steps

Productivity obsessives respond to different triggers than creative experimenters. If you sell a SaaS product, ask what your users value outside of work. By mapping personality traits to content preferences, they reduce decision fatigue.

The advantages of behavioral segmentation

Given that this is the market to be segmented, the market analyst should begin by identifying the size of the potential market. Segmentation comprises identifying the market to be segmented; identification, selection, and application of bases to be used in that segmentation; and development of profiles. Extensive data is now available to support segmentation in very narrow groups or even for a single customer, allowing marketers to devise a customized offer with an individual price that can be disseminated via real-time communications. However, with the advent of digital communications and mass data storage, it has been possible for marketers to conceive of segmenting at the level of the individual consumer.

Personality-based market segmentation

Market segmentation is not only designed to identify the most profitable segments but also to develop profiles of key segments to better understand their needs and purchase motivations. Old Spice is a prime example of the success brands can achieve if they understand consumer psychographics. Buyer personas are tools used by marketers to build a character sketch of their prospective customers. Beliefs influence buying decisions; for instance, people against animal products may not support brands selling the same. Attitudes represent an individual’s beliefs, emotions, and preferences towards certain topics, products, or brands.

Drive personalization at scale.

Personality-based market segmentation

Psychographic segmentation enables businesses to segment their contacts based on psychological traits that influence shopping. Demographic segmentation enables you to understand who your target audience is, which is critical for building customer personas. Individual users may opt for single-user licenses, while businesses requiring broader access may choose multi-user or enterprise licenses for cost-effective access to the report.

The traditional way to develop a psychographic segmentation model has been through a market research study surveying a statistically representative sample of a target audience. Ultimately, the argument for any type of segmentation is to identify high-yield target markets that are likely to meet growth potential, profitability, or other specific goals. Despite critics—including Daniel Yankelovich— it was embraced by leading marketers, prompting Advertising Age to call VALS "one of the ten top market research breakthroughs of the 1980s."

Each OCEAN dimension maps onto distinct consumer behaviors and messaging preferences that companies can exploit systematically. Increasingly, machine learning models do this inference automatically at scale, producing personality-based customer profiles from digital behavior without any self-report at all. Some companies collect personality data through explicit surveys, asking customers about their preferences and tendencies. Someone high in openness responds to novelty and creativity; someone low in openness prefers familiarity and reliability.

And using tools that analyze audiences for you. By developing psychographic segments, you can spot opportunities for new offers that grow your business. For a deeper perspective over time, consider longitudinal or panel studies that track the same respondents at regular intervals. These conversations reveal the problems they’re trying to solve, what influenced their decisions, and how they evaluate value or satisfaction.

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