Wednesday, September 7, 2022
4pm - 5pm BST
Media Mix Modeling [MMM] is all the craze now as marketers look to optimize their campaigns better. With the current economic environment, increasing deprecation of device IDs across iOS and Android, a general emphasis on end-user privacy, and many brands looking to organic channels to boost growth, MMM has something refreshing to offer to most marketers.
Branch’s MMM uses Robyn, a sophisticated ML model developed by Meta that captures and trains big marketing data with macroeconomic trends, including the impact of seasonality and the diminishing marginal utility of ad inventory across channels. With Robyn, Branch enhances your attribution and analytics to help you forecast and budget your spend with accuracy, agility, and scale.
To learn more about what MMM is, how it works, whether it makes sense for your team, and how to get started, join Sam and Mark through a conversational journey into the hottest trend in Performance Marketing these days. We will discuss the topics below:
- What is MMM?
- Why MMM now?
- What makes Branch best-in-class with MMM?
- The Meta / Branch MMM Incubator program
- What makes me a fit for MMM?
Senior Product Manager for Ads & Attribution at Branch
Mark Hansen is a Senior Product Manager for Ads & Attribution at Branch, and is the product lead for Branch Media Mix Modeling. Prior to Branch he worked across product and ads consulting roles at Google.
Product Marketing Manager at Branch
Sam holds experience helping large and small tech companies bring products to market – focusing on core product value, unique messaging, and compelling stories. Sam joins Branch as a Product Marketing Manager after 3+ years at Amplitude Analytics and brings extensive domain and industry knowledge from her prior roles in Customer Success, Solutions Engineering, and Technology Partnerships. In her current role as Product Marketing Manager at Branch, she is focused on improving the user experience and advocating for seamless product journeys.