Targeting audiences effectively

Determining how many participants to target

targetNumberOfParticipants is used to select how many participants a research intends to conduct research with. Respondent will always attempt to deliver 2X targetNumberOfParticipantswith qualified participants but will not prevent more participant from applying to a project. We also do not restrict more participants being invited or paid in projects incase a researchers needs grow during the course of research.

Audience features by targetMarketType

When creating projects you will be able to use the following audience features. As noted in the table different audience features are used between B2C and B2B projects.

Feature	B2C	B2B
targetCountries	✅	✅
targetCities (used with countries only)	✅	✅
targetLocationRespondentInPerson (in person project only)	✅	✅
targetGenders	✅	✅
targetAgeGroups	✅	✅
targetEthnicities	✅	✅
targetEducation	✅	✅
targetHouseholdIncome	✅	✅
filterPastParticipation	✅	✅
targetProjectTopics	✅	❌
targetProfessionalIndustries	❌	✅
targetCompanySize	❌	✅
seniority	❌	✅
targetJobFunctions	❌	✅
targetJobTitles	❌	✅
targetAudienceSkills	❌	✅

Audience feature by type

Audience features have 2 different implementations to ensure projects can be filled appropriately. Some features are used as filters while others are used as signals.

Filters

Filter type audience features restrict which participant have access to apply to projects. If a filter type audience feature is applied to a project participants will only be able to apply to the project if their profile matches the selected feature.

Signals

Signal type audience features influence Respondent's matching algorithm and determine which participants are contacted to fill the project via a fuzzy match, but do not restrict participant from applying if their profile is not an exact match. This will also allow more participants to organically apply to a project through their participant dashboards if they are an exact match for the filter type audience features used in a project.

You can also choose to make any signal act as a hard filter for a project by turning it into a key qualifier.

Feature	Filter	Signal
targetCountries	✅
targetCities (used with countries only)	✅
targetLocationRespondentInPerson (in person project only)	✅
targetGenders	✅
targetAgeGroups	✅
targetEthnicities	✅
filterPastParticipation	✅
targetEducation	✅
targetHouseholdIncome		✅
targetProjectTopics		✅
targetProfessionalIndustries		✅
targetCompanySize		✅
seniority	✅
targetJobFunctions	✅
targetJobTitles		✅
targetAudienceSkills		✅

Audience qualification

Screener responses are qualified across the participants profile and their actual responses to screener questions to be determined qualified or not. Answering all screener questions with qualifying answers makes them qualified on a screener, but profile qualification can be achieve by matching all filter type audiences features.

Respondent will treat participants that match all audience feature with preferential treatment when actively recruiting, but will qualify participants that are not direct matches for signal type audience features.

Example

If a participants qualified via the screener AND they match selected targetAgeGroups and targetCountries but not targetHouseholdIncome, their response will be considered qualified by default. Partners or research can chose to disqualify these responses to narrow the number of participants and keep recruiting open.