Elevating data quality in market research
In today's fast-paced business environment, data-driven decisions are essential. However, the effectiveness of these decisions relies heavily on the quality of the data collected.
Fraud is pervasive in B2B research
High-stakes decisions cannot rely on low-quality data. Typical providers experience fraud rates of 30-70% due to a lack of identity verification, generic survey links, AI fraudsters, and low incentives. NewtonX has fraud rates of less than 1%.
<1%
NewtonX fraud rate
30-70%
fraud rate of other research
providers
Ways we ensure accurate data
Identity verification
Professional email authentication
Every participant is verified through their professional email before gaining access to a survey.
Data enrichment within PII (Personally Identifiable Information) Rules
Because participants are verified, NewtonX can append professional information to responses within PII guidelines, adding depth and context.
Survey follow-up interviews
Verified respondents can be re-engaged for follow-up expert interviews, giving clients the "why" behind the data.
Fielding & quality control
Bad actor prevention
IP, cookie, and metadata checks identify and block fraudulent or duplicate participants at the point of entry, before bad data can be collected.
Automated quality checks
Consistency checks flag low-effort or inattentive responses automatically, keeping the data set clean without manual guesswork.
Precise targeting upstream
Using NewtonX Graph, we achieve an incidence rate of 30-60%, compared to generic distribution lists with incidence rates of just 1-20%.
Scale that works because quality is built in
NewtonX recruits an average of 150-300 niche B2B experts per study, scaling to 5,000+ as needed, from an open network of 1.1 billion professionals through NewtonX Graph.
1.1B
professionals in the open network
<1%
fraud rate
<1%
quality removal rate
30-60%
incidence rate (IR)
7 KPIs to elevate data quality in market research
NewtonX stands out from typical providers with its AI-driven tech that delivers both scale and data quality. We use a framework of seven measurable KPIs to ensure accurate and actionable insights, delivering decision-ready data to business leaders.
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