Brand tracking
Trackers measure change, so the sample has to stay stable from wave to wave. Changing the supplier mix can move the numbers more than the brand did.
Routing risks and how they are handled
- Supplier mix driftFixed allocation quotas per supplier keep each wave built from the same sources in the same proportions.
- Recontact rulesMany trackers exclude people who answered recently. Respondent-ID duplicate checks work within a project; run each wave as its own project and handle cross-wave exclusions with your supplier.
- Long field periodsAlways-on trackers need dependable postbacks so suppliers can reconcile continuously rather than at the end.
Recommended project settings
| Minimum LOI | On, carried over from wave to wave. |
|---|---|
| Duplicate devices | On. |
| Allocations | Fixed quotas per supplier for every wave. |
Questions about brand tracking
How do I keep a tracker comparable when a supplier drops out?
Replace the supplier gradually over several waves and compare results by allocation, which the console reports separately for each supplier.
Other research types
Consumer researchGeneral population and category-buyer studies with nested demographic quotas.
B2B researchProfessional audiences such as IT decision makers, finance leaders and small business owners.
Healthcare researchPatient, caregiver and healthcare professional studies with extra care around sensitive data.
Concept and ad testingFast-turnaround monadic and sequential tests with many cells filling in parallel.
Academic researchUniversity and social science studies that need transparent, documented sample sourcing.
Put a quality layer in front of your next study
Tell us whether you buy sample or supply it. We set up your account, share sandbox links and walk through the first integration with your team.