ECommerce Metrics and Analytics
ABOUT THIS WORKSHOP SERIES
Data is king in a digital world. In fact, the most critical differentiator between a successful e-commerce company and a struggling one is data. Having the right kind and knowing how to use it allows for efficient, profitable, and scaled paid acquisition. This class will get you up to speed on how to get the right data, how to measure it, and how to use it for your paid acquisition campaigns, as well as how to optimize those channels including SEM, SEO, and Email Marketing.
How to set up a proper customer data table
How to segment a data table by marketing channel, CLV and CAC
How to structure and run paid acquisition campaigns in SEM, SEO, Email Marketing, Referral, Retargeting, Affiliate and Group Buy
How to optimize paid acquisition spends through landing page optimization
How to optimize the conversion funnel for paid acquisition traffic
Wednesday, 10 July, 8 – 10 pm
WELCOME + AGENDA
CUSTOMER DATA TABLES AND SEGMENTATION
CONVERSION FUNNEL BEST PRACTICES & OPTIMIZATION
LANDING PAGE OPTIMIZATION
Wednesday, 17 July, 8 – 10 pm
PAID ACQUISITION CHANNELS
PAID ACQUISITION & SOCIAL DATA-REFERRAL PROGRAMS
PREREQS & PREPARATION
A basic understanding of Excel along with a laptop with excel or similar program. (open office/google docs is fine)
ABOUT THE INSTRUCTOR(S)
Adam Schwartz is the GM of BustedTees, one of the webs leading retailers for t-shirts and novelty products. As GM of BustedTees Adam manages all operational departments including marketing/user acquisition and product/engineering. Prior to BustedTees Adam co-founded Source4Style, a B2B e-commerce marketplace where fashion designers can purchase textiles from global suppliers. Adam also started the New York Tech Meetup Internship program which pairs inner city high school students with New York area start-ups for summer internships.
Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.
Learn More: ECommerce Metrics and Analytics