What you will learn
In today’s digital research landscape, ensuring data quality is more critical than ever. Join experts Efrain Ribeiro and Andy Ainsworth for an exclusive webinar on strategies to mitigate fraud and enhance online panel quality. Learn how to safeguard your research, improve engagement, and ensure data integrity at every step. Make confident, informed business decisions with cutting-edge insights from Zinklar.
Efrain Ribeiro
Sampling & Panel Online Access Advisor
Andy Ainsworth
Product Marketing Manager
- The State of Online Sample Quality: Overview of current challenges in ensuring reliable and high-quality online survey data. Insights from recent studies highlighting the impact of poor sample quality on business decisions.
- Combating Fraud in Online Surveys: Key strategies for detecting and eliminating fraudulent respondents. Best practices for leveraging fraud detection technologies.
- Approach to Quality Control: A step-by-step breakdown of multi-layered quality checks, from pre-survey to post-survey analysis. How to ensure respondent authenticity through profiling options, device tracking, and advanced AI techniques.
- Enhancing Audience Engagement for Better Data: Importance of maintaining respondent engagement and how mobile-friendly, short surveys can boost completion rates and data quality. Effective use of open-ended questions to verify engagement and authenticity.
- Ensuring Accurate Profiling and Targeting: The role of advanced demographic and behavioral profiling in reaching the right audiences. How to prevent data duplication and maintain respondent diversity in your sample.
- The Future of Online Data Collection: What’s Next? Innovations in fraud prevention and quality assurance in market research. How the industry is evolving to provide more secure, reliable data for decision-making.
3 key takeaways
- Gain the knowledge to guide your business in taking steps to ensure every study you conduct yields the highest quality data. Learn how to avoid pitfalls that can lead to inaccurate insights.
- Discover valuable tips, from incorporating additional screen-out questions to identify quality respondents, to adding trap questions that help spot speedsters and bots attempting to enter the process.
- Understand the importance of balancing human checks with AI monitoring. Both are essential, and neither should be relied upon exclusively.