Introductory Webinar to (MMM) Media Mix Modeling
What you’ll learn: • Getting MMM right the first time • MMM is making waves in a cookie-less digital ecosystem • Everyone wants MMM. Many are experimenting for the FIRST time, we can help with the journey
Time & Location
An actual Demonstration is on it's way
You will be e-mail a link to the Webinar
About the event
What you will learn:
• Getting MMM Right the first time
• MMM is making waves in a cookie-less digital ecosystem
• Everyone wants MMM. Many are experimenting for the FIRST time, we can help with the journey
• Available: Open Source MMM freeware. Not Available: How to do MMM Right
How can this webinar benefit you?
• Know if MMM is the right solution
• Know what is needed
• Know what to do with the results
What will this webinar cover?
• Useful best practice guidelines
• Checklist for success for each phase of MMM lifecycle
• An actual Demonstration on putting it into practice
SPEAKERS
Gabriel Mohanna
Gabriel combines deep expertise as a Marketing Data Scientist and Product Manager, with experience at Amazon and Google. Skilled in R and Python, Gabriel has a robust understanding of algorithms and a proven track record in managing and growing teams. Previously, Gabriel led a consulting team of 300+ data scientists, product managers, analysts, and engineers, delivering top-tier marketing measurement and optimization solutions.
Sophia Toh
Sophia is an MMM expert with over 15 years of experience as a practitioner, implementing successful MMM solutions for major global advertisers like Visa, Discover Financial Services, SoFi, Nissan, and Expedia. She excels in helping companies get MMM right by advising on where MMM best fits within the measurement toolkit, implementing tailored solutions to meet specific business needs, and turning complex results into actionable insights. Her expertise guides clients on how much to spend, where to allocate budgets, expected returns, and what to test. Through her efforts, Sophia has achieved remarkable results, including a 5x improvement in measurement and forecasting accuracy and scaling MMM capabilities to measure, optimize, and forecast over $1 billion across 15 countries.