The Data Over Instinct Summit is an opportunity for marketing professionals to exchange real-world insights around the rapidly evolving fields of data analytics and digital marketing technology. Data Over Instinct 2020 will be a virtual event, and we’re excited to make the Summit more accessible than ever.
Check out highlights from Data Over Instinct 2019!
Are you a healthcare-focused marketer? The day before the Summit, we’re adding a shorter day of sessions specifically for marketers in the healthcare industry.
October 14, 2020
9am – 12:00pm CDT
October 15, 2020
9am – 3:30pm CDT
If you’re are an experienced marketer, this Summit is designed for you. It is structured for decision makers who manage a marketing budget and want better insight into their analytics data, measurement tools, and campaign performance. Content will be geared towards leaders with more traditional (marketing, communications and PR) backgrounds who are ready to build a data-driven culture.
Click on the images below to learn more about each speaker.
CEO, Anvil Analytics + Insights
Jenny Bristow is the CEO and Co-Founder of Anvil Analytics + Insights, a digital + analytics agency located in St. Louis, Missouri. Prior to starting Anvil, Jenny launched, grew and sold a digital agency in Seattle, Washington and worked at Amazon.com. She was named one of St. Louis Business Journal’s 30 under 30, won a Stevie Award for Female Entrepreneur of the Year in 2018 and speaks regularly at industry and local events.
Director, Analytics + Decision Science, Anvil Analytics + Insights
Brett uses analytics to help clients put all the pieces together—from identifying KPIs to finding the right data to measure those KPIs and then collecting that data. He’s been in digital marketing for 8+ years and brings analytics leadership to the Anvil team. If he’s not drilling into data, he’s probably hanging with his kids or maybe playing some D&D.
Account Manager, Lucky Orange
Jordan Welborn is an account manager for Lucky Orange, a software company that helps businesses around the world improve website conversion rates. She focuses on developing and maintaining long-term relationships with enterprise-level clients. When not connecting with her clients, Jordan can also be found delivering webinars or working with the customer care team to address support tickets. In her spare time, Jordan enjoys spending time with her dog and fiancé, relaxing at the lake and planning her upcoming wedding.
Director of Digital Engagement, Geisinger
Pardoe is the director of digital engagement at Geisinger and is a self-proclaimed data nerd. She started her career in General Aviation where she developed her deep love for digital strategy and airshows. At Geisinger, Bry leads the social media, marketing analytics, and digital marketing teams as they continue to develop an in-house digital agency to support work across their clinical, payor and pharmacy businesses. She has led the onboarding of Healthgrades, Salesforce Health Cloud, Datorama, and Social Studio to support robust analytics for the Marketing and Communications department.
CEO and founder at Omniconvert
Valentin Radu is a serial entrepreneur, data-driven marketer, CRO expert, international speaker, father, husband, and pet owner.
Nowadays he is the CEO and founder at Omniconvert, an awarded and funded software company that has delivered a successful CRO platform - Omniconvert Explore, used by companies such as Whirlpool, ING, Orange, Avon, and Wordstream and the first Customer Value Optimization Software available for Shopify Merchants - Reveal.
Valentin has spoken at over 100 International events over the last 7 years, including DMEXCO, Mobile Web Congress, SMXL, Growth Marketing Conference, Conversion World, Webit, WebSummit, SemDays, Tech in Asia, E-commerce Brazil, Iceefest, HowToWeb, etc.
Director of Marketing Technology, UW Health
Noah Locke is the Director of Marketing Technology for UW Health, an integrated health system of the University of Wisconsin-Madison serving more than 600,000 patients each year in the Upper Midwest and beyond. Prior to joining UW Health, Noah ran digital marketing campaigns for Clearlink in Salt Lake City, Utah.
Datorama Account Executive, Healthcare and Life Sciences
Mike is an experienced marketing technology and ad technology account executive, having spent nearly ten years in the space. For the last two years, Mike has been a leader in Salesforce Datorama's healthcare practice. Prior to his career at Datorama, Mike led strategic partnerships for the marketing technology firm, Ghostery.
Senior Data Scientist, Trulioo
Maria is a data scientist and analytics expert with 12 years’ experience in creating insights and implementing customer journeys using data science. She has built and trained a data science team, provide data science consultancies in Pakistan, Ukraine, Bangladesh, Russia, and Canadian markets, and developed revenue methodologies for marketing campaigns.
Maria has worked closely with marketeers and assists them in utilizing the output of data science in ATL and BTL campaigns, future roadmaps, and business strategies. She has extensive experience in building customer prediction models, creating social network maps, developing product recommendation engines, and in-depth behavioral and psychographic segmentation. Her technology and commercial background mix helps in bridging the gap between marketers and data scientists.
She is currently working as a Senior Data Scientist in Vancouver, creating analytical solutions for Trulioo.
Lead Product Manager, CallRail
Jason’s career has maneuvered from non-profit to technology, with a speciality in delivering new products to the marketplace. Jason leads product teams at CallRail, a marketing analytics platform based in Atlanta, GA and cares deeply about doing good work and forming lasting relationships. Jason is an advocate for bicycle commuting and physical, real-life paper books while living with his lovely wife, Sarah, his 1-year old daughter, Hazel, and his affectionate yet needy dog, Patsy.
As healthcare marketers, we’ve always been a bit behind when it comes to digital trends. Data and analytics are no different, and in 2019 the team at UW Health took a hard look at the data we were collecting. For years we had used Google Analytics as “catch-all”, dumping every click event into a massive bucket that no one wanted to sift through. Our clients seemed to only care about “hits” to their web pages, and no real strategy was in place to maximize the insights that were hidden amidst the mountain of data. In early 2020, the UW Health team decided it was time to switch gears and form a real data and analytics strategy that would carry them towards their goal of driving patient volume using digital tactics.
In this session, learn how to make Google Analytics work for you, not against you via the following:
Three years ago Geisinger started on an evolution to become a digital-first organization for marketing efforts, and with that, reporting and analytics became more important than ever. It started with copying and pasting between Excel spreadsheets and rapidly evolved into dashboards built in Tableau that demonstrate end-to-end lead to customer attribution.
In this session, we’ll talk about:
The healthcare industry is a complex space comprised of a growing number of healthcare payors, providers, pharmaceutical companies, and medical device companies. This diverse landscape of companies is united by the common purpose of improving patient outcomes. Whether trying to reach businesses, clinics, doctors, or patients, navigating this complex landscape while building meaningful and effective connections throughout the customer journey is challenging as marketers must work with disparate data sources and platforms to measure the impact of their activities and campaign.
In this session, learn how marketing intelligence can help you optimize marketing channels and drive positive patient experiences through the following:
A lot of marketers talk about analytics, but do they really understand the technical work behind the scenes? In this session, Jenny will dive into how analytics tools actually work, explaining concepts and terms such as business intelligence, reports, analytics, data warehouse, ETL, and much more. It's a great session to open the day and create a baseline of knowledge for attendees before diving into more specific sessions.
Don't worry - even if you're a seasoned marketing analytics pro, we promise you'll walk away with deeper knowledge and understanding of how all of the tools you use work together after this session!
Someone just left your website, but do you know why? How does your Facebook traffic interact differently with your website than traffic from Google PPC? It’s time to find the answers and get to the bottom of your conversion conundrum.
Don’t miss these three easy, actionable ways to:
Jason Tatum, Lead Product Manager at CallRail, will walk you through the value of call tracking, and how business can get a better insight of their digital marketing efforts.
You, yes you, can be up-and-running in the data-driven programming language R in just a few minutes making predictions and forecasts on your company’s real Google Analytics data. This is not for data scientists, machine learning analysts, or software developers. This is for the rest of us. People that have used Excel but don’t have experience with developing software.
There is a big push back in the data science community in the last few years on people without PhDs in statistics using machine learning. I think it is because many professionals are scared. They are scared because improvements in easy-to-use and 100% free programming languages are making it easy for anyone to do basic statistical analysis and machine learning and could eliminate their jobs.
I have the opposite opinion. Giving everyone a taste of how easy it is to the basics will increase people wanting to leverage data scientists to do the really, really cool stuff!
In this presentation, I will review the following:
The best way to convert data into dollar value is understanding the customer more than the customer knows himself. How do we predict the customer’s next action with the best accuracy? How can we move the needle from low value to higher value? How do we predict the near future, segment the customer into a perfect profile, and recommend the next best offer? By utilizing the best practices of data science.