

How a hedge fund identified contrarian responses and risks missed by expert calls
Overview
NewtonX’s platform provides unprecedented access to hard-to-find B2B audiences that truly understand the intricacies of an industry. This access, combined with analysis capabilities, has proven invaluable to gain previously unattainable insights.

Driving investing impact through data-driven survey insights
The targeted survey highlighted a number of points that were contrary to previous call responses. To gather deeper insights, we rapidly set up follow-up professional calls for our client to better understand the responses and impact on their investment thesis.
- 60 VP/C-suite professionals surveyed
- 24h survey design and launch
- Competitive intelligence

Determining investment opportunities in the container software space
It’s challenging to determine the quality of an investment opportunity. Qualitative research provides an invaluable source of insight to this end. However, limited time and resources mean that hedge funds could be missing something when testing their investment hypotheses. A leading software and tech focused Hedge Fund tapped us to find senior tech and security professionals using container software. We conducted a targeted survey to augment findings from previous 1:1 calls.

Finding first-class tech thought leaders
We utilized the NewtonX Knowledge Graph to scan an open network of 20,000+ technology VP-equivalents across the U.S. and Canada. We recruited and verified the most qualified technology and security professionals using our Custom Recruiting methodology. After recruitment, NewtonX designed and launched a targeted customer survey within 24 hours. The deployed survey reached 60 professionals in 5 business days — more than five times the number of original 1:1 expert calls.

When data quality matters, NewtonX delivers.
Put our framework to the test, and you’ll see firsthand how better data leads to better decisions. Try us for your next project and experience the benefits of having a true partner in data integrity.
