Video description
Presented by Diane Leung, Principal, Analytics Innovation at Altman Vilandrie & Company
Measuring and optimizing tune-in is critically important for the media and entertainment industries. This discussion focuses on best practices for utilizing data and machine learning to optimize tune-in on national linear inventory. In order to do this properly, advertisers need to unify their marketing ecosystem, design a holistic measurement approach, and break down barriers for closed-loop, incremental measurement. In this session you will learn how to: 1) Create a framework for utilizing data and machine learning to maximize tune-in and 2) Overcome analytical obstacles created from fragmented and incomplete data.
Table of contents
Product information
- Title: Utilizing Data and Data Science to Optimize Tune In
- Author(s):
- Release date: September 2019
- Publisher(s): Data Science Salon
- ISBN: None
You might also like
video
Data Science That Works, Building Impactful Products for Media Clients
Presented by Lauren Lombardo - Senior Data Scientist at Nielsen Products underpinned by traditional statistical methods, …
video
Keys to Leading Highly Effective Data Science Teams
Presented by Darby Laffoon – Sr Manager, Big Data Platform Engineering at Charles Schwab In this …
video
Using Machine Learning to Target Households in Large Scale Direct Marketing
Finding the right audience is the core marketing puzzle of all e-commerce businesses. While in the …
video
Case Studies in Data driven Merchandising
For retail businesses, inventory is simultaneously the company’s greatest asset and its largest risk. Competitor pricing, …
