Audience targeting for B2C

Overview

Audience targeting means making sure the people who end up in your study actually represent the group you're trying to understand. For consumer research, this usually means dividing a large, general population into smaller, well-defined groups, so you can study their preferences, behaviour, and fit for your product more accurately than if you treated "consumers" as one single group.

The main ways to segment a consumer audience

• Demographics — basic, stable facts about a person: age, gender, income, education, location
• Psychographics — a person's values, beliefs, lifestyle, and taste, the things that shape why they make the choices they do, not just who they are on paper
• Behavioural traits — what someone actually does: their purchasing habits, brand loyalty, how often they use a product, and what triggers them to start looking for one in the first place
• Technographics — the devices, software, and online platforms someone actually uses day to day

Most studies won't need all four. Choose the ones that actually matter to your research question. If you're testing a mobile app's onboarding flow, technographics (what device and OS someone uses) may matter more than income. If you're testing a premium product's appeal, psychographics may matter more than location.

Matching your method to your goal

• If you want to measure something across a large group, statistically reliable results, price sensitivity, general sentiment, use a quantitative survey, this is what Decode's Consumer Insights (Quantitative Study) is built for.
• If you want to understand the reasoning behind a behaviour, deep motivations, frustrations, unmet needs, use qualitative interviews, AI Interviews or Live Interviews in Decode.
• If you want to observe how someone actually behaves with a real product or design, rather than what they say about it, use behavioural methods like Task research or Prototype testing.

See Quant vs qual: when to use which if you're still deciding between these.

Targeting considerations specific to consumers

Combine demographics with behaviour. If your research depends on a specific behaviour, such as recently buying a certain product, add a screener question for that behaviour directly. Demographics alone won't confirm it, someone can be the right age and location and still have never used the product you're researching.

Screen for real consumers, not just anyone available. Recruiting from a generic, unverified pool of respondents can bring in people who don't actually match your real-world target consumer. Screen carefully to confirm participants genuinely fit the profile you're studying, rather than assuming a large pool automatically contains the right people.

Watch for low-effort responses. Some consumer panel participants take many surveys regularly and may answer quickly without paying close attention. Adding a simple check, like an instruction to select a specific answer, helps you spot and remove these responses.

Use quotas if your audience isn't uniform. If your consumers include distinct groups, like new customers and long-time customers, set quotas so both groups are properly represented, rather than letting one group dominate your results by default. See Quotas and balancing.

Ask about recent behaviour, not general habits. "Have you purchased this in the last 30 days?" is easier to answer accurately than "Do you purchase this often?", since people tend to misjudge how frequently they really do something.

Build on what you learn

As you run more studies with a consumer audience, the patterns you find, common pain points, what triggers a purchase decision, can be turned into reusable personas that describe your typical customer types. Keep these updated as your market or audience changes, rather than treating them as fixed forever.