In this case study, Eagle Alpha investigates China datasets and explores the insights that have been found.
Using online search data, Eagle Alpha correctly predicted fading demand for LOW.
Eagle Alpha’s Data Analytics team published two notes in quick succession correctly highlighting a lack of consumer interest for Apple’s iPhones.
Google Trends is a public web facility based on Google Search that shows how often a particular search-term is entered relative to the total search-volume over time across various regions of the world.
Using online search data, Eagle Alpha correctly predicted the strength in DSW same-store sales.
Eagle Alpha correctly predicted Hertz results using our RevCast dataset, company-level revenue indicators designed to predict quarterly revenues for major US consumer companies.
L Brands, the specialty retailer of women's intimate and other apparel, reported disappointing results yesterday, which was reflected in a drop in the stock's price.
On July 31st, 2018, Eagle Alpha organized a webinar regarding data-driven insights for the consumer industry.
Eagle Alpha correctly predicted GoPro results using web crawled and online search data.
In March 2018 Eagle Alpha highlighted lack of consumer interest in the launch of Samsung’s flagship Galaxy S9 handset using data from its Web Queries tool and Google Trends.
This data can provide an insight into long-term trends, as well as the most recent trading performance, and is based on metrics such as average selling price (ASP) and share of “bestselling” products in a category, as ranked by the website provider.
Eagle Alpha correctly predicted TJX results using consumer transaction and online search data.
