Our panels

In-house panels built on trusted technology

Our proprietary panels are powered by API-driven automation across every stage of research — minimizing human intervention while eliminating duplicates, fraud and data anomalies for reliable, high-integrity insight.

01 — Panel types

Proprietary B2C, B2B & Healthcare panels

Exclusive audiences, curated and validated for every research need.

B2C
Consumer
Broad consumer reach across demographics, geographies and lifestyles — for concept tests, brand tracking and consumer sentiment.
B2B
Business
Hard-to-reach professionals and decision makers — from skilled trades to executive, HR, IT and marketing DMs.
HC
Healthcare
Specialist healthcare audiences — validated, compliant and recruited through trusted multi-channel processes.
02 — Sample you can trust

Quality built into every respondent

From recruitment to response, every participant passes through standardized, technology-driven quality controls — so your data is clean, representative and dependable.

130+ point profiled sample with standardized invite procedures and frequency limits.
2Partnerships with frequent-flier, business and loyalty programs curate a validated, responsive and relevant sample.
3Participants rewarded through global loyalty programs and renowned brands.
4NextON B2B — exclusive usage with no overlap, via a multi-channel recruitment process.
5Respondent behavior is monitored and flagged by an in-house mechanism assigning the NextON Score.
03 — Profile overview

30+ profiling attributes per member

Deep, continuously enriched profiles let you target precisely.

Name Country DOB Gender HHI Qualification Language Decision-making authority Organizational hierarchy Business type Industry Role / job function Company annual turnover PC size Role-relevant experience
The NextON Score

Every respondent, continuously scored

An in-house mechanism monitors respondent behavior and assigns the NextON Score — flagging anomalies and safeguarding data integrity on every project.

A+Data integrity

Ready to make data-driven decisions?

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