Psychographic segmentation Wikipedia

Social media platforms also play a crucial role in gathering psychographic data. This helps marketers tailor their marketing efforts to meet the needs and desires of their target customers. This involves gathering valuable insights through customer surveys, buyer personas, and social media analytics to gain a deeper understanding of their target audience. Psychographic segmentation is a valuable tool that allows marketers to identify and target specific market segments based on psychographic profiles. Comparing the results of psychographic marketing campaigns to traditional methods can help identify patterns and correlations between psychographic traits and conversion pathways. It also enables users to create professional-looking surveys with branding customization options.

Actions can include past purchases, lifestyle choices, travel destinations and daily routines. Behavioral segmentation works by grouping potential customers based on observed actions or behaviors. Demographic segmentation is relatively simple to manage, assuming the brand has the necessary demographic information of potential customers. Demographic segmentation works psychographic data by grouping potential customers by their individual attributes, such as age, ethnicity, education, job title, industry, marital status and income. Geographic segmentation is relatively simple to manage, assuming the brand has the location and address information of potential customers. Geographic segmentation works by grouping potential customers by the areas in which they live or reside.

A great example of a company making effective use of product choice prediction is U.S. retail company Target. Using predictive analytics, new products are presented to people matching predefined customer profiles based on historical data. Search engines, online platforms, and mobile applications collect a tremendous amount of data about their users.

Niche marketing tip

This tool provides data on your website visitors’ demographics, interests, and digital activity. Use open-ended questions in surveys to collect detailed information about respondents' motivations, interests, and preferences. By leveraging psychographic data, you can design effective online campaigns, craft personalized marketing strategies, and create targeted advertising messages. Using psychographic segmentation techniques can boost conversion rates and improve relationships with potential and loyal customers. This resulted in increased sales and a stronger connection with their target audience. They focused on what their customers cared about, allowing them to create a better marketing campaign.

It’s important to note that, even though the potential for misuse exists, this can be done without improperly gathering data on individuals. To use one of Nix’s examples, because words like “apparently” and “actually” are indicative of a high degree of neuroticism, people whose harvested data frequently featured words like this would be marked as high “N” in their psychographic profile. And where better to find it than on Facebook, a social network consisting of 2 billion users across the globe. Discussing his company’s work on the Ted Cruz presidential campaign in the US, Nix acknowledged his company had acquired “four to five thousand data points on every American citizen.” But he gave no details on how the company had acquired it. A public presentation to the Concordia Annual Summit in September 2016 by Cambridge Analytica’s then-CEO Alexander Nix gave the world one of its first glimpses into the psychographic techniques used by the company. But by getting more granular, you could market to a segment of vegans who feel strongly about the mistreatment of animals, or to health-conscious people who feel guilty when they eat sugary energy bars.

How to Build Psychographic Segments

• You can create a segment in Pipedrive for “speed-focused buyers” and then focus sales and marketing efforts accordingly.
• In your campaign, you might choose to include photos of people of all sizes who are equally healthy or on the path to healthfulness.
• Demographics include objective data like gender, age, income, and marital status.
• More recently, companies such as Lifemind have developed AI-powered platforms that integrate worldview orientation, generational values, and regional cultural patterns to refine segmentation and predictive modeling.

They’ll think, “Hey, that company really gets me.” You might look at your data often, but approaching it with this mindset will pull some psychographic data out you may not have seen before. Here are some places you can start looking for psychographic data. Think about the last time you saw a company’s marketing campaign and thought, “Yep, that’s me. Networks determine the demographics and psychographics of segments that watch certain shows and channels, and products advertise accordingly.

Traditional demographic data might suggest that your target audience includes individuals aged who prioritise health and fitness. It helps researchers and marketers identify the values, interests, lifestyles and personalities of people. If demographics group customers by age, gender, or income, psychographic segmentation takes it further by clustering people according to their values, motivations, and lifestyle preferences. Traditional demographic data might suggest that your target audience includes individuals aged who prioritize health and fitness.

Apple is one of the leading American technology companies designing, manufacturing, and selling consumer electronics and software. When companies consider the values, lifestyles, interests, and personalities of their customers, they can create highly targeted campaigns that emotionally resonate with their audience. These can be focused exercise challenges, nutrition education, or stress management workshops.

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Launching new products and messaging, the company now targets a younger generation of customers and has a more diverse gender mix, too. Once they did, they found that many US adults—not just older, cis-gendered women, but also many men and young people—wanted to eat more healthily and maintain more balanced diets. Taking into account other demographic factors (like age) their target audience was just 3.5% of the US population. In this section, we highlight three examples of companies that are using psychographics to their advantage. Customer segments built using psychographic data can inform many digital marketing activities.

IBM develops a psychographics tool

“Ultimately, we don’t think decisions about political ads should be made by private companies, which is why we are arguing for regulation that would apply across the industry. Facebook’s efforts to offer greater transparency into its advertising policies was further undermined in December 2019, when an internal memo from company executive Brian “Boz” Bosworth was leaked to The New York Times. On the distribution side, Facebook blocked foreign ad investment ahead of the Irish Abortion referendum in May 2018 in order to curb “astroturfing,” which creates the illusion of widespread support for an issue in order to influence other people to support it. Thus, despite recent negative press for companies like Facebook and Cambridge Analytica, psychographic marketing will likely be a key part of the multi-billion dollar ad market for years to come. “Our customer file was aging so we reassessed our target audience,” said Director of Brand Engagement Kathryn Pratt, speaking at the Association of National Advertisers’ 2019 Brand Activation Conference.

How do psychographics differ from demographics?

Two customers might share identical demographics yet buy for entirely different reasons. Rather than grouping people by measurable traits like age or income, it groups them by what they think, care about, and aspire to. When used along with demographics, psychographics allows you to delve even deeper to gain an understanding of what motivates your customers to buy. At this point, we’ve established the difference between demographics and psychographics along with some of the most effective approaches for gathering your data. While this may not be viable for companies with minimal budgets, it can pay off if you’re willing to make the investment. However, you can potentially gain valuable insights based on intensive scientific data collection methods.

You’ll come up with many insights, but you can’t address them all, so focus on that sweet spot where your product meets what your customers want. For example, say your data highlights that people often use their mobile devices to access your product’s dashboard. Organize workshops and go through all your customer data with internal SMEs who understand your product (especially product managers and salespeople). For example, buyers often withhold critical information from salespeople and relate price as a critical aspect of their decision as a negotiation tactic. Their hefty expense may make them unattainable for those who want to collect psychographic data on a budget. With Contentsquare’s Surveys capability, you can add surveys to your website or send survey links to potential participants.

Pay attention to buyer and consumer behavior to unearth values and motivations that don’t appear in form fields. These participants already know your offering, so they’re more able to explain the motivations and decision drivers that shaped their choices. That’s a signal to send short, action-focused content and follow up fast before momentum drops. Messaging focused on stability, reliability and minimizing disruption would likely resonate more and convert better, even if the offering stayed the same.

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Continuous data collection through surveys, social listening, and customer interactions helps you spot these shifts early. Signs you need to update segments include declining campaign performance, customer feedback that doesn't align with your profiles, or significant changes in your market. Psychographic segmentation digs deeper, grouping people by psychological traits like values, attitudes, interests, lifestyle, and personality. Demographic segmentation groups people by observable characteristics like age, gender, income, education, or location.