Using Transaction Data for an Early Read on Black Friday Performance
Bloomberg Second Measure launched a new and exclusive transaction dataset derived from a U.S. consumer panel that includes millions of members. Products built from this panel are based on data available three days after card swipe—offering unparalleled speed—to power faster decision-making.
As the 2022 holiday season gears up, join us to learn how Bloomberg Second Measure transaction data enables investors to gain timely estimates on company performance on Black Friday. Investors can use these estimates to help validate investment theses, track company performance intra-quarter, gain industry insights, and identify fast-growing consumer companies.
Discussion Topics:
As the 2022 holiday season gears up, join us to learn how Bloomberg Second Measure transaction data enables investors to gain timely estimates on company performance on Black Friday. Investors can use these estimates to help validate investment theses, track company performance intra-quarter, gain industry insights, and identify fast-growing consumer companies.
Discussion Topics:
- Which companies within a given industry are experiencing the most growth in sales or customer counts on Black Friday?
- Are consumers shifting their spending from brick-and-mortar to online?
- How do company sales and customer counts on Black Friday compare to the rest of the holiday season or other annual sales events?
- How do Black Friday sales relate to quarterly earnings?
Speakers
Sunny Lee
Product Data Scientist
Bloomberg Second Measure
Sunny Lee is a product data scientist at Bloomberg Second Measure, where she helps clients better understand and utilize transaction data, as well as uncover compelling data stories. Prior to joining Bloomberg Second Measure, Sunny worked as a fixed-income trader at Goldman Sachs Asset Management. She holds a B.A. in Economics and Statistics from Northwestern University.