Targeting & Audiences

Why Targeting Matters

A survey is only as good as its respondents. Targeting lets you focus your budget on the people whose opinions matter most for your research. Instead of collecting 1,000 random responses, you can collect 200 highly relevant ones from your exact audience.

Demographic Filters

During the Audience stage of the survey wizard, you can filter respondents by:

• Age range - Set minimum and maximum age (e.g., 18-35 for a youth-focused study).
• Gender - Target specific genders or leave open for all.
• Location - Filter by country, region, state, or LGA (Local Government Area). Currently supports all 36 Nigerian states plus FCT with full LGA coverage.
• Education level - From primary school to postgraduate.
• Employment status - Employed, self-employed, student, unemployed, retired, etc.
• Income range - Target specific income brackets relevant to your product or research.
• Ethnicity - Target specific ethnic groups.
• Religion - Filter by religious affiliation.
• Marital status - Single, married, divorced, etc.
• Has children - Filter by parental status.
• Household size - Set minimum and maximum household members.
• Area type - Urban, semi-urban, or rural.

You can combine multiple filters. For example, "Women aged 25-40 in Lagos with a university degree" is a perfectly valid target audience.

Screener Questions

For even more precise targeting, add screener questions during the Screener stage of the wizard. These are short qualifying questions (single choice or multiple choice) that determine whether a respondent fits your criteria before they enter the main survey. Examples:

• "Do you own a smartphone?" (Yes/No)
• "Have you purchased groceries online in the last 30 days?"
• "Which of these products have you used?"

Screener questions support three marking strategies:

• At Least One - Respondent must select at least one of the correct options.
• No Wrong - Respondent must not select any incorrect options.
• Exact Match - Respondent must select the exact set of correct options.

Respondents who don't meet the screener criteria are politely redirected. Whether they receive a small consolation credit depends on how you configured the Rewards stage - consolation is optional and set by you as the survey creator.

Sample Size Planning

The wizard helps you plan your sample size based on your budget and reward per response. A few guidelines:

• 50-100 responses work well for quick pulse checks and internal feedback.
• 200-500 responses give solid statistical reliability for most market research.
• 500+ responses are ideal when you need to break results down by multiple demographic segments.

The platform shows an estimated collection time based on your targeting criteria and the available respondent pool.