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 targetNumberOfParticipants
with 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 | β | β |
targetCities (used with countries only) | β | β |
targetLocationRespondentInPerson (in person project only) | β | β |
targetGenders | β | β |
targetAgeGroups | β | β |
targetEthnicities | β | β |
targetEducation | β | β |
targetHouseholdIncome | β | β |
filterPastParticipation | β | β |
targetProjectTopics | β | β |
targetProfessionalIndustries | β | β |
targetCompanySize | β | β |
seniority | β | β |
targetJobFunctions | β | β |
targetJobTitles | β | β |
targetAudienceSkills | β | β |
Audience feature by type (filters vs signals)
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 choose to make any signal act as a hard filter for a project by turning it into a key qualifier.
Feature | Filter | Signal |
---|---|---|
targetCountries | β | |
targetCities (used with countries only) | β | |
targetLocationRespondentInPerson (in person project only) | β | |
targetGenders | β | |
targetAgeGroups | β | |
targetEthnicities | β | |
filterPastParticipation | β | |
targetEducation | β | |
targetHouseholdIncome | β | |
targetProjectTopics | β | |
targetProfessionalIndustries | β | |
targetCompanySize | β | |
seniority | β | |
targetJobFunctions | β | |
targetJobTitles | β | |
targetAudienceSkills | β |
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.
Audience quotas
Support for audience quotas is on our roadmap. In the mean time, if you would like to provide your researchers with the ability to set quotas for their projects, we recommend creating multiple projects and surfacing responses of all those projects together in your UI.
Example
In our example scenario, a researcher may want an even distribution of participants for their project:
- 50 male participants
- 50 females participants
To support this, you may allow them to specify project details and quotas once on your UI and create two separate projects using the Respondent API.
- Project A - targeting only males, limited to 50 participants
- Project B - targeting only females, limited to 50 participants
When surfacing this back to the researcher, you may wish to return a combined list of participants from both Project A and Project B.
- Project AB - targeting 50 males and 50 females
Updated 6 days ago