Mateja Henigman
Business Development @ PredictLeads
Mateja Henigman is a Business Development professional with expertise in identifying company performance signals. She has worked at PredictLeads since 2020, utilizing data sets and machine learning to provide insights for investment firms and sales platforms.
Work at PredictLeads
Mateja Henigman has been employed at PredictLeads since 2020, serving in the role of Business Development. In this position, she specializes in identifying actionable company signals that indicate performance and growth. Her work involves utilizing proprietary data sets and machine learning models to extract deep business insights at scale. She collaborates with investment companies and venture capitalists to identify and track company growth signals, enhancing their decision-making processes.
Education and Expertise
Mateja Henigman studied at the University of the Sunshine Coast, where she focused on Business Marketing. She completed her Bachelor’s degree from 1999 to 2001, gaining foundational knowledge in marketing principles and business strategies. This educational background supports her expertise in identifying company signals and leveraging data for business development.
Background
Before her current role, Mateja Henigman developed her skills in business development and data analysis. Her experience includes working with sales enablement platforms to improve customers' prospecting and outbound strategies. This background has equipped her with the tools necessary to effectively analyze market trends and identify growth opportunities for companies.
Achievements
Mateja Henigman has contributed to the PredictLeads blog by writing articles that focus on data-driven strategies for business development. She authored a blog post on using data enrichment to filter and prioritize prospects, showcasing her knowledge in this area. Additionally, she wrote a case study on InReach Ventures and PredictLeads, further demonstrating her ability to analyze and present complex information in a clear manner.