Why psychographic segmentation is needed for data-driven personas

Using data-based personas, companies know what target groups think and how they behave. Why psychographic segmentation is important for the development of data-based personas and what it brings in practice: An overview.

Rebranding, product launch, new marketing campaign or recruiting: companies are only successful if they know their customers and really understand candidates and employees. Psychographic segmentation supports this by focusing on people's inner motivations, attitudes, lifestyles and behaviors. Rather than just asking about age and background, the method helps to understand why people think and act the way they do. Below, we take a look at what psychographic segmentation entails, how companies are using it, and why psychographic data is integral to any successful data-driven persona.

Psychographic segmentation or a look inside the target group

Psychographic segmentation is a method used in marketing and market research. Using specially collected data, it helps to understand target groups based on their internal motivations, attitudes, interests, values and behaviors. Unlike conventional demographic or geographic segmentation, which is primarily based on external characteristics such as age, gender or location, psychographic segmentation focuses on deep psychological aspects that influence the behavior of consumers, but also of candidates and employees, for example in recruiting. By analyzing psychographic characteristics, companies develop a comprehensive picture of their target groups and gain valuable insights that are crucial for the design of marketing strategies, products and services.

About psychographic data and where to find them

For psychographic segmentation, companies need a representative set of suitable data. This is the most important prerequisite for a detailed analysis of the target group. In psychographic segmentation, the most important variables are those that provide information about the interests, values, motivation, stressors and personality of a target group. The following overview shows which variables are crucial and where you can find the respective data.

Personas give a face to (psychographic) data

A data-based persona is a concrete representation of the target group based on a personality profile that contains all demographic and psychographic data. A persona is a simplified representation of the abstract concept of psychographic segmentation and makes complex data tangible. In this process, the data of the variables mentioned above are included in the fictitious personality profile, which is based on the common characteristics and behaviors of people in a specific psychographic group. The question is therefore not whether data-driven personas or psychographic segmentation is more useful, but rather to what extent the two methods complement each other. Because the fact is: without psychographic data, there is no data-driven persona. On the other hand, only data-driven persona makes psychographic segmentation truly tangible. In summary: Only with the data-based persona can companies really benefit from psychographic segmentation. Because while psychographic data asks for the "why" behind the behavior of customers and employees, data-driven personas offers the "who" and "how" in the form of concrete, easy-to-understand character profiles. These provide those responsible in sales and marketing, as well as in recruiting and HR, with concrete and tangible clues for developing products, optimizing services and targeting campaigns. At the same time, personas can be easily integrated across departments in the company.

Psychographic segmentation: Buyer vs. Candidate Persona

While buyer personas are fictitious character profiles that represent typical representatives of existing or potential customers, candidate personas are used in human resources to recruit suitable specialists. Although psychographic data plays a fundamental role in both categories, their focus shifts. In the case of the Buyer Persona, for example, the primary aim is to explore the inner motivations, values, interests, and lifestyle of the candidate in as much detail as possible. With this knowledge, companies gain deep insights into the behavior of their target group and can optimize products, services, and marketing strategies in a customer-centric way. Candidate personas, on the other hand, focus on the motivation, career goals, work preferences and values of suitable candidates. HR managers then use this information to develop more effective recruiting strategies, for example, and to address candidates who have the professional competencies on the one hand and also feel they belong to the corporate culture on the other. Companies use this information to develop more effective recruiting strategies.

The main difference between data-based Buyer and Candidate Personas in terms of psychographic segmentation is thus the context in which they are used. While Buyer Personas aim to understand the buying behavior of customers, Candidate Personas focus on exploring the professional motivation of suitable professionals.

Psychographic segmentation in practice: an overview

Psychographic segmentation and data-driven personas form a strong synergy that companies use across departments. We have summarized the most important operational application areas for product development, in marketing and customer service as well as in recruiting and HR below.

1) Marketing

• Personalized marketing messages: Companies use psychographic segmentation to create tailored messages based on the individual motivations, values, and interests of different customer segments.
• Content marketing: Psychographic segmentation in the form of data-based personas enables content to be created that specifically addresses interests and problems. The result is stronger engagement as well as better brand loyalty.
• Channel and platform selection: Marketers use psychographic characteristics of data-based personas to select appropriate channels and platforms for communicating with their target groups.
• Customer loyalty and loyalty programs: Companies use psychographic segmentation to develop loyalty programs tailored to the preferences and desires of their loyal customers. This strengthens customer loyalty and ensures more sales in the long term.
• Online advertising: Advertising campaigns can be targeted to specific customer segments thanks to psychographic data. This minimizes wastage and increases the likelihood that your campaigns will reach the right people.
• Email marketing: The same applies to email marketing, where marketers use data-based personas to create personalized email campaigns. Thanks to psychographic data, the structure and content can be tailored to the individual interests and needs of recipients.
• Event management: When planning events such as trade shows or workshops, psychographic segmentation helps tailor the event experience to attendees' expectations and preferences.
• Customer reviews and testimonials: Companies can also use psychographic information to collect customer reviews and testimonials.
• Brand positioning: psychographic segmentation helps to accurately position a brand by taking into account the values and beliefs of the target audience, creating a deep emotional connection.
• Local marketing: The cultural and social environment of the target groups can also be taken into account more easily using data-based personas, which is particularly important in local marketing.
• A/B testing: marketers use psychographic segments to conduct A/B testing to determine which versions of marketing materials or campaigns resonate best with different customer groups.

2) Product development

• Needs analysis: By analyzing psychographic characteristics, companies understand the needs and problems of their target groups and develop solution-oriented products along the way.
• Feature development: psychographic segmentation can help identify preferred features and characteristics, which is important in product development.
• Design and aesthetics: Information on the visual behavior and aesthetic preferences of target groups helps to optimize product design in a customer-centric way.
• Packaging design: Companies design appealing packaging by using psychographic information about color preferences, designs and messages of their target group.
• Pricing: Psychographic characteristics in combination with demographic data also provide information about the price sensitivity of certain customer groups. data-driven personas therefore also helps to determine the right price for products.
• Customer experience: psychographic segmentation also helps to create a comprehensive customer experience by taking into account the customer's touchpoints with the product, from interaction to use.
• Ergonomics and usability: Psychographic data can also provide information about the preferred user experience. This helps to design products in a user-friendly way and to subsequently optimize existing features.
• Product variants: Based on psychographic characteristics, companies can develop different product variants that meet the different preferences and requirements of the target groups.
• Sustainability and ethics: Companies can align products with the values and beliefs of target groups - for example, in terms of sustainability, environmental protection and ethical behavior.
• Upgrades and further developments: By continuously analyzing psychographic characteristics, companies can constantly improve existing products and adapt to the changing needs and preferences of target groups as needed.

3) Customer service

• Communication channels: Using psychographic characteristics, such as data on media usage behavior, companies use a persona to determine customers' preferred communication channels. In this way, customer service takes place on those channels that are most appealing to customers.
• Customer support times: Psychographic segmentation can provide insight into the times at which different customer segments are most likely to need support, allowing customer service to be planned accordingly.
• Tone and language: Companies can adapt the language and tone of customer service to the emotional needs and values of target groups - for empathetic and engaging communication at eye level.
• Individual solutions: Only those who really know their customers can offer individual solutions to problems. Data-based and psychographic personas help to better understand customers and their way of thinking.
• Complaint management: Companies can use psychographic profiles to determine how different customer segments react to complaints and problems. On this basis, individual approaches to complaint management can be developed.
• Feedback capture: Psychographic segmentation can help design feedback mechanisms that take into account customers' preferred communication style and preferences. Also, customer service can use psychographic information, data-driven personas, to identify and address issues related to individual customer attitudes and emotional needs.
• Personalized support: Based on psychographic characteristics, companies can offer personalized support and advice tailored to customers' individual lifestyles and needs.
• Customer loyalty: data-driven personas , which incorporates psychographic information, helps to develop bonus and loyalty programs that sustain customer loyalty.
• Self-service resources: Self-service resources can also be successfully designed using psychographic data, as they take into account the preferred learning style and communication preferences of different customer segments.
• Special occasions: Using data on the cultural environment, companies can identify and target special occasions and events of target groups.

4) Recruiting

• Job advertisements: Using data-based candidate personas and the psychographic information they contain, job ads can be designed to appeal to the values, interests, and career goals of potential candidates.
• Job interviews: Personnel managers can also conduct job interviews on this basis according to the individual motivations and career goals of the specialist. For example, interview questions as well as the type and location of the interview can be derived from psychographic data.
• Customize the recruitment process: companies can tailor the recruitment process to candidates' preferred learning styles, communication methods, and levels of interaction.
• Candidate retention: Through the psychographic segmentation of candidate personas, companies provide individualized offers to deepen the interest and relationship with candidates.
• Job requirements: Companies can use psychographic profiles to better match job requirements with the needs and preferences of suitable candidates.
• Cultural Fit: Psychographic segmentation also facilitates a more accurate assessment of the cultural fit between applicants and the company.
• Familiarization process: Based on psychographic characteristics, companies can develop individual familiarization plans tailored to the learning and working behavior of new employees.
• Candidate Experience: Psychographic segmentation can be used to improve the overall candidate experience by addressing the emotional needs and values of the candidate.
• Building talent pools: Large companies in particular can use data-driven personas to build different talent pools that contain candidates with similar preferences and career goals.

5) Human resources

• Communication: Psychographic segmentation not only helps in recruiting new professionals, but also supports companies when it comes to communicating with the workforce.
• Employee retention: Personalized approaches to employee retention, such as benefits and training offers, can be implemented more easily and, above all, in a targeted manner using data-based candidate personas.
• Further development: Psychographic segmentation enables HR departments to create targeted training and development plans that match employees' different learning styles and interests.
• Career development: Based on psychographic characteristics, companies can create individual career plans that match employees' long-term goals and values.
• Performance management: Managers can use psychographic segmentation to align performance evaluations and goal setting with employees' strengths and motivation.
• Team building: Based on psychographic characteristics, teams can be put together to ensure better cooperation and thus achieve higher performance in the long term.
• Health and wellness programs: Companies can use psychographic profiles to offer health and wellness programs that match employees' individual health goals and preferences.
• Workplace design: data-driven personas also helps with workplace design, for example by providing information about employees' working methods and preferred hardware and software.
• Flexible working models: Based on psychographic characteristics, companies can develop flexible working models that match employees' preferred working hours and locations.