Demographics
Also known as: demographic data
In short
Demographics are measurable characteristics of people, such as age, gender, income, education, family status, and location. Marketers use them to describe an audience and to segment it.
In B2B, the person-level equivalent is usually role-based: job title, seniority, and department. Company-level traits are called firmographics, which are usually more useful for B2B targeting. Using personal demographics also raises privacy concerns, so it is not legal advice to say any use is fine.
Common demographic attributes
- Age and generation: Often used in consumer products and ad targeting.
- Gender: Used carefully, and in some regions restricted for certain ad uses.
- Income and education: Proxies for purchasing power and preferences.
- Location: Country, region, or city, which overlaps with geographic segmentation.
- Household or family status: More common in consumer marketing.
Demographics in B2B
What translates
Location and seniority carry over directly. A VP and an individual contributor buy differently, and region affects language, timing, and regulation.
What does not
Age or gender rarely predicts whether a company will buy. A company's industry, size, and tech stack are better signals, and those are firmographic and technographic data.
How to use demographics well
Start from your customer data and see whether any demographic trait separates good customers from poor ones. For B2B, check job level, function, and region. Use a trait for targeting only if it shows a real difference. Collect only what you need and tell people how it is used.
Example
Say a company sells a security tool and its best customers are mostly directors and above in IT. A role-based segment, "IT directors and above in the UK", is a demographic-style filter for people. It pairs with a firmographic filter such as companies with 200 to 1,000 employees. The numbers are illustrative.
Common mistakes
- Applying consumer demographic thinking to B2B buying committees.
- Assuming stereotypes about a group predict behavior.
- Collecting sensitive attributes you do not need.
- Using demographics alone instead of combining them with firmographics and behavior.
Demographics FAQs
What are demographics in marketing?
Demographics are measurable characteristics of people, including age, gender, income, education, family status, and location. Marketers use them to describe an audience, split it into segments, and choose messages and channels for each group.
What is the difference between demographics and firmographics?
Demographics describe individual people, using traits like age or income. Firmographics describe companies, using traits like industry, employee count, revenue, and location. B2B teams rely more heavily on firmographics because buying decisions are made at the company level.
Are demographics useful in B2B sales?
Some are. Job title, seniority, function, and location help target the right people. Personal traits like age or gender are rarely predictive in B2B and can raise privacy concerns, so teams usually lean on firmographic, technographic, and behavioral data.
What are examples of demographic segmentation?
Examples include grouping customers by age range, income bracket, education level, or household size. In B2B settings, a role-based version might group contacts by seniority level, department, or country to tailor messaging.
