Danielle Schultz

Danielle Schultz

Performance Media Supervisor, Paid Search + Paid Social @ Collective Measures

About Danielle Schultz

Danielle Schultz serves as the Performance Media Supervisor for Paid Search and Paid Social at Collective Measures, where she has worked since 2020. With a background in digital marketing and a focus on data-driven strategies, she specializes in enhancing brands' online presence through integrated media planning.

Work at Collective Measures

Danielle Schultz has been serving as the Performance Media Supervisor for Paid Search and Paid Social at Collective Measures since 2020. In this role, she focuses on creating cross-channel strategies to enhance brands' online presence and drive business growth. Prior to this position, she held various roles at Collective Measures, including Senior Performance Media Manager from 2018 to 2020, and Paid Media Manager from 2017 to 2018. She also worked as a Senior Planner for Paid Media from 2015 to 2017 and as a Planner for Paid Media from 2014 to 2015.

Education and Expertise

Danielle Schultz earned a Bachelor of Science in Business with a focus on Marketing and Finance from the University of Minnesota - Carlson School of Management, studying from 2009 to 2012. Her academic background supports her expertise in developing digital media strategies, particularly for lead generation business models that involve long and complex purchase journeys.

Background in Digital Marketing

Before joining Collective Measures, Danielle Schultz worked at Risdall Marketing Group. She started as an Online Marketing Intern in 2012 and progressed to a Digital Marketing Specialist in 2013. She later became a Senior Digital Marketing Specialist in 2014, where she gained valuable experience in digital marketing strategies and execution.

Focus on Data-Driven Strategies

Danielle Schultz emphasizes the importance of data-driven media planning and problem-solving in her work. She enjoys working with data, particularly in Excel files, to inform her strategies. She advocates for the integration of AI and machine learning with a human touch to align algorithms with business goals, reflecting her commitment to continuous learning in the dynamic digital landscape.

People similar to Danielle Schultz