Using web crawled and online search data, Eagle Alpha correctly predicted the GoPro results.
Using online search data, Eagle Alpha correctly predicted the UAA results.
Using online search data, Eagle Alpha's Data Analytics team correctly predicted Williams Sonoma results.
Using web crawled and online search data, Eagle Alpha correctly predicted the HPQ results.
On December 5th 2017, Eagle Alpha’s Data Insights team published a report titled “Finish Line: Search Indicator Implies Improving Sales Metrics.” Our Search Signal indicator, based on Google search data, was pointing to a potential recovery in same store sales for the company.
Accelerating growth in active job listings and Google search data were used to correctly call improving momentum for Palo Alto Networks.
Accelerating growth in active job listings and Google search data were used to correctly call improving momentum for HubSpot.
Negative growth in active job listings and Google search data were used to correctly call worsening momentum for Chipotle.
Eagle Alpha’s Search Signals product consists of a series of company revenue indicators constructed using Google search volumes for a company’s product offering.
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 email receipt and Google search data, Eagle Alpha published a research report on July 14th predicting a weaker June quarter for Starbucks versus consensus.
On July 4th 2017, Eagle Alpha published a research note analyzing Fitbit’s Q2 with the use of online retail data.
