Before accelerating MMM, brands must build a clean, structured, scalable data foundation. Measurement success is architectural—not algorithmic —and there won’t be any AI value for MMM until the poor state of the data is addressed. Once it has been addressed, the value unlocked is significant.
In this webinar, Angelina Eng and Matt Voda will explore:
A seasoned executive with 24+ years of digital media, marketing and operations experience, Angelina Eng has focused her career on supporting agencies and brands to define, build and manage digital media and marketing efforts while enabling teams to operationally work efficiently and effectively with both internal and external partners and platforms. She’s been responsible for the development and management of internal systems and workflow, establishment of deliverable standards, designing ad trafficking and tracking guidelines, implementation of emerging platforms, as well as establishing best practices at companies such as Morgan Stanley, Merkle, Dentsu Aegis and Publicis Modem.
Over the years, She has been involved with multiple organizations and events to help define, establish and advocate some of the industry standards that we see in today’s digital media ecosystem (such as ad verification/brand safety, ad fraud, viewability and programmatic, social, etc)
Angelina has been awarded the AdMonsters 2018 Power List, IAB Data Rockstar 2016 and AdMonsters Digital Media Leadership Award 2016.
Matt Voda brings deep experience in SaaS technology and analytics success to his role at OptiMine (an Uptempo Company). Matt joined OptiMine from UnitedHealth Group (Nasdaq: UNH) where he led consumer marketing within the $200B Optum division, developing and deploying sophisticated analytics-driven approaches to yield significant gains in engagement and ROI. Matt also spent 11 years at Digital River (Nasdaq: DRIV) as VP of Product Management developing the world’s first cloud-based e-commerce platform, a high scale enterprise offering handling over $30B in e-commerce transactions, across 80 countries. Matt spent his early career in retail, analytics and business intelligence focusing on high-scale customer and marketing analytics.