NEW: Through opted-in smart phone users we montior over 15,000 stores for more than 30 brands. Daily and weekly granularity for reports.
Through a panel of nearly 1 million domestic email inboxes our proprietary intelligence aggregative volumes for email purchase receipts. We analyze the read and delete rates for leading brands.
With a robust international web panel our intelligence dissects organic online engagement trends for over 100 consumer brands.
Within the web panel, our intelligence sepearates specific pages that relate to conversions and aggregate these to make inferences on online ordering activity, marketing efficiency and new subscribers and more.
Our email panel with more than 1 million unique inbox is coupled with our intelligence to trend promotional cadence and aggrssiveness of more than 100 leading brands.
Review volumes tracked for fast growing products and categories such as Auto Parts, Mattresses, Footwear and more
Random Walk is a technology driven independent equity research firm providing actionable investment insight on the consumer sector. Our systems and proprietary methodology harvest real-time data on the online behavior of millions of consumers.
Our combination of proprietary and third party data gathers more than a dozen disparate signals measuring engagement. This ensemble of metrics of is used to forecast operating trends and detect potentially significant inflections.
Since inception in 2011, our forecasts have been more predictive than FactSet consensus every year, with an accuracy rate exceeding 63%. Our process also also uncovered 16 major inflections, following which share prices have moved in excess of 40%.
We uncover actionable investing opportunities based on intra-quarter data not yet available to Wall Street consensus. Our clients are alerted to these unforeseen changes in consumer trends and how they could impact revenues and growth trajectories.
Smart phone Location data tracks daily in store foot traffic visits to over 15,000 stores based on 3 million opted in consumers.
Granularity down to specific stores and days our systems detect shifts in consumer preferences before the Street and quarterly earnings.
Our proprietary real-time access to over a million unique anonymized email inboxes allows unparalleled insight into consumer preferences. Our analytics track email order volumes, changes in promotional cadence, and read/delete trends over time.
Our intelligence systems scan, filter and measure review volumes for leading consumer products. We measure demand trends for growing categories and new competitive entrants.
For consumer brands our systems monitor and aggregate response volumes for Facebook and Instagram. These volumes are cleansed of noise to allow comparisons of
Our systems use robust real time data to detect when demand changes indicate a company is no longer tracking inline with guidance or Fact Set consensus.
Our Online Composite uncovers investment opportunities on both the long and short side. Our filtering process ensures our clients are alerted to the most significant and unexpected deviations.
Through utilization of more than a dozen sources our insight is a better proxy for true customer demand than easily manipulatable metrics currently used by the street such as Social Media “likes” or Comscore Unique Visitors.
Unhindered by the requirement of publishing buy/sell/hold recommendations and price targets, our projections are unbiased and don’t herd around the mean. 34 times during the fast rising market of 2014, our data indicated dramatically slowing sales trends. These equities declined a cumulative 232%.
Since 2011, there have been several instances when our measures of engagements have been unanimous in indicating a significant deviation between current business trends and street expectations for growth.
ANF, ANGI, COH, FIT, GNC, GRUB, KORS, OSTK, SALE, SEAS, SIG, SHOP, WEB, WIX, WTW, ZU
Over the past four years, we’ve consistently topped FactSet consensus for current quarter revenues. Each year our accuracy rate has exceeded 60%.
2015 (78 Deviations) 68%
2014 (82 Deviations) 64%
2013 (76 Deviations) 67%
2012 (67 Deviations) 66%
Instead of focusing on sales and trading, or creating price targets, valuation analysis, industry reports or running “surveys” loaded with confirmation bias, our team is focused on developing the most predictive technology. Our tools, systems and data partners capture the most meaningful and unforeseen changes in consumer shopping habits. Our resources are invested in software developers, search engine marketing and optimization tools, reliable 3rd party data partnerships and proprietary web crawling analytics. We don’t rely on any single piece of data or small samples, but instead generate a robust signal with more consistency.
Greg Robin is the founder of Random Walk. He has over fifteen years experience in technology and finance. He holds a Masters in Computer Science with a focus on distributed systems. His prior experience on the sell-side as series 86/87 financial analyst covering special situations in the consumer sector. He has worked with over a dozen publicly traded companies on search engine optimization.
Stephen McMurtry leads the technology process at Random Walk. He holds a BSc in Physics and Mathematics and a Masters of Applied Science. He has more than 4 years of industry experience creating mathematical models and preparing analysis to help others make data driven decisions. Stephen has produced data visualizations for the web that have been viewed more than one million times.
Timothy Gillihan leads the forecasting process, projecting key financial metrics based on Random Walk’s proprietary data. He has over ten years of experience analyzing publicly traded companies across all industries and regularly testifies as an accounting and economic expert witness in federal and state courts. Tim has interviewed hundreds of C-level executives regarding accounting practices, financial results, and expected future performance. Extensive knowledge of industry benchmarks and performance standards.
To help protect our clients’ edge we maintain a narrow distribution. Give us a call to see if we can work together.
Random Walk Financial
160 Chesterfield suite 103
Cardiff, CA 92007
email: sales AT ranwalk DOT com