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What are Psychographics in Marketing? How to Get Started

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Psychographic segmentation vs. demographic, geographic, and behavioural models

Psychographic segmentation is just one method within the broader field of market segmentation. It has its own distinct qualities that separate it from other approaches. To explain, let’s summarise how psychographic vs demographic, geographic, and behavioural models stack up.

Segmentation Model Psychographic Segmentation Demographic Segmentation Geographic Segmentation Behavioural Segmentation
Focus Psychological traits, values, interests, personality. Age, gender, income, education. Country, region, city, political group, climate. Buying behaviours, purchasing patterns, brand loyalty.
Research tools Online survey software, Likert scale, online form, online polls, social media, focus groups, and marketing analytics. Census data, market research, and other demographic data. Geographic boundaries, zip codes. Past sales data, product usage, conversion rates.
Purpose Understanding why your customer base makes purchasing decisions. Identifying target markets based on quantitative factors. Targeting customers in specific regions or climates. Understanding customer sentiment toward a specific product.
Advantages Deep insights into motivations and attitudes. Fast and easy. Useful for broad segmentation Helpful for localised marketing. Grounded in customer actions. Leads to more specific insights.

FAQs

Yes. Psychographic segmentation helps you connect with your audience and better address the pain points of your prospective customers, increasing customer satisfaction. This can improve customer loyalty and massively boost customer retention.

A Likert scale is a rating scale that measures opinions and attitudes — usually through a strongly agree to strongly disagree scale. This is an important tool in psychographic research because it allows businesses to quantify subjective opinions and preferences.

This rating scale measures attitudes or emotional responses to different concepts. Like the Likert scale, it’s useful for quantifying subjective data. However, rather than asking participants to agree or disagree, it instead asks them to pinpoint their emotions in response to a concept.