As a marketing leader, nothing is more important than having the data to back your team's projects. Marketing attribution models allow you to tie exact numbers to how much influenced revenue your team generates.
However, there's no one-size-fits-all approach, and not all budgets allow for external software to create complex models.
For this event, we've partnered with Women in Analytics to bring Katie Robbert, Co-Founder and CEO of Trust Insights. She's going to share with us how we can set up an attribution project using free tools you already have, like Google Analytics.
Katie will:
- walk through business and data requirements needed for an attribution project
- teach your how to determine which attribution model is right for your business
- share insights on where attribution projects go wrong
About the speaker:
Katie Robbert
Co-Founder and CEO of Trust Insights
Katie Robbert is an authority on compliance, governance, change management, agile methodologies, and dealing with high-stakes, “no mistakes” data. As CEO of Trust Insights, she oversees the growth of the company, manages operations and product commercialization, and sets overall strategy. Her expertise includes strategic planning, marketing operations management, organizational behavior and market research and analysis.
Prior to co-founding Trust Insights, she built and grew multi-million dollar lines of business in the marketing technology, pharmaceutical, and healthcare industries. Ms. Robbert led teams of Microsoft Partner Software Engineers to build industry-leading research software to address and mitigate pharmaceutical abuse.
Ms. Robbert is a Google Analytics Certified Professional, a Google AdWords Certified Professional, a Google Digital Sales Certified Professional, and holds a Master of Science degree in Marketing and Technological Innovation. She is a published researcher in the Pharmacoepidemiology and Drug Safety Journal.
About Women in Analytics
The mission of Women in Analytics is to provide visibility to the women making an impact in the analytics space and provide a platform for them to lead the conversations around the advancements of analytical research, development, and application. Learn more.
