PANELISTS MANAGEMENT
Engaged panelists for your projects
Quality is at the heart of our panel. We make sure every participant is truly interested and engaged, which leads to much higher participation.
For our clients, this means getting dependable results quickly, the ability to build long-term insights with the same group of people and a recontact rate of +60%.
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Key drivers of our high response rates and panel excellence
Local expertise & native support
Internal management by local teams. We prioritize a personal connection by managing our panels through dedicated local teams. This ensures every participant receives support in their native language, respecting cultural nuances and building deeper trust.
Performance-based curation
Proactive engagement monitoring. We continuously track participant activity to ensure our community remains vibrant and committed. By identifying and nurturing our most active members, we maintain a high-quality pool of motivated respondents.
Community engagement
Impactful communication & newsletters. We keep our brand at the top of our participants' minds through regular communication. Our tailored newsletters and campaigns turn a simple database into a truly engaged community.
Participant satisfaction
Continuous feedback loops. We believe that a happy panelist provides better data. Through regular satisfaction surveys across all countries, we listen to our members’ opinions to constantly refine their experience and strengthen their loyalty.
A great incentive program
- Local-first: We adapt our incentive programme to the local panels' requirements
- Win prizes: Cash or loyalty points for successfully completed surveys which can be redeemed for various rewards (gifts, online vouchers, donations or bank transfers).
- Fraud-proof: Professional fraudsters are discouraged
- Not limited to incentives: Good customer support, data privacy, etc
Constant panel monitoring and cleaning for consistent quality
- Monitoring of panellists' activity and removal of inactive members.
- Series of indicators to detect inappropriate behaviour that does not comply with our quality standards (quality respondents, speeders, open-ended undesirable answers).
- Removal of panellists who continuously provide bad quality data.