Category Archives: Reporting & Analytics
Finding Nemo’s Silver Lining: Using Big Data to Analyze Big Weather
For those of you who live in a data cave on the West Coast like I do, it may come as a surprise that there was a blizzard this past weekend—a BIG one. The ‘Nemo’ blizzard, caused by a merging of two low pressure systems that originated in the central and southeast US, then migrated … Continue Reading
Econsultancy – One in Four Boxing Day Visits Took Place on a Mobile Device
Study reveals that share of mobile sales on iOS devices dropped 12% in year-over-year comparisons, giving way to the Android platform. Reading, UK – 21 January 2013 – Once again, mobile commerce has showed itself to play a critical role in the online retail experience, particularly during peak shopping periods. In a new Shopping Insights™ … Continue Reading
Retail Technology — “Should retailers believe the mobile hype?”
Retail Technology writes on RichRelevance’s mobile study. A recent report on mobile shopping behaviour found significant differences in the way Britons shop across platforms, according to e-commerce expert Darren Hitchcock A 2012 study, conducted by e-commerce recommendations technology provider RichRelevance from analysis of more than 1.1 billion shopping sessions across mobile device and desktop computers in … Continue Reading
Seattle Pi — “Rainy weather might make you spend more money online”
Blame the rain when that $600 Nordstrom order shows up at your doorstep. A study by a San Francisco-based Rich Relevance shows the weather could impact how and where you spend your money. Mariah Walton writes that she set out to determine whether wet weather increases online sales, using Seattle as a guinea pig: My original hypothesis … Continue Reading
What happens with online shopping when it rains? Linking online shopping to weather and exploring drivers of noise in sales data
Countless factors affect online shopping, many of which aren’t well known, classified, or understood. Much like the climate system, online sales vary across different time periods–year, month, week, day, hour–with smaller levels of variability often dismissed as so much ‘noise’. Ipads might be trending one day, and blenders the next, but over a month long … Continue Reading