Prior sign-up for this workshop was required by May 3. If available, additional seats will only be given to those who have a Sales and Trends login as well as are distributed by a company already participating with Apple.
This workshop is not open to press.
Learn more about working with Apple to deliver, promote, and analyze your content on Apple Music. In these sessions, you’ll learn more about content operations and data analysis using the various tools in iTunes Connect, including Sales and Trends. The workshop will be broken down into the following three segments:
Operations (Approximately 9-10 AM)
Creating an effortless experience for customers to discover and fall in love with music is our goal. A lot of work goes into making this happen. We’d like to share some insights into how we curate music and the tools available for you to make the most of Apple Music. We will also highlight things to consider when sending content as well as Learning Resources available.
Sales and Trends: Beginner Session (Approximately 10-10:45 AM)
Data in music is more important than ever and using it to understand new content and artist performance is a critical step in breaking new releases and artists. Sales and Trends puts the power of this data at your fingertips. This session will show you how to analyze your Apple Music and iTunes Store streaming and sales data using Sales and Trends through practical examples and a demo.
Sales and Trends: Advanced Session (Approximately 10:45-11:30 AM)
Ready to take your analysis to the next level? Building on the Sales and Trends: Beginner Session, this session will show you how to use your daily Apple Music and iTunes Store reports to create compelling and custom analyses. This session will focus on using the raw data from these reports in combination with business intelligence tools and will include practical examples and a demo.
Presenters:
- Ryan Christo, Technical Product Manager
- Jill Harwell, Sr. Manager of Global Music Operations
- Ben Lawrence, Operations Manager
- Bryce McLaughlin, Partner Data and Analytics
