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Showing posts from April, 2019

WVU IMC, Week 6 post

How Chewy.com May Use Web Analytics to Lead the Pack As a strictly e-commerce retailer, Chewy.com has been a trailblazer not only in its industry of pet supplies, but in the e-commerce industry as a whole. They are often compared to the online retail giant Amazon, and even beat Amazon in pet supply sales as of a 2018 Forbes article. Chewy has the advantage of being a leader in a growing industry. According to NYC Data Science Academy , pet industry growth   “feeds on factors such as the multi-generational appeal of pets, the positive correlation between good human health and pet ownership, and a pet culture that spawns spending on luxury goods for animals” in the U.S. (2017). While the industry is a growing one, there also must be a number of web analytics strategies and tactics that Chewy.com uses to keep growing its beast of a business. Although we can’t get inside their analytics and marketing departments to find out what, there are several websites dedicated to dissec...

WVU IMC 642, Week 5 post

What's the Most Important Data for a Business? (Hint: It's not data.) For any company in existence, both qualitative and quantitative data are essential. Qualitative data is based on feedback, usually of a target audience. It turns the target audience’s attitudes, interests and opinions (AIO) into (hopefully) usable data, through research methods like focus groups, surveys, ethnography, and reading through customer comments on social media or relative websites. This type of data takes a lot of effort to collect and dissect.    Quantitative data, quite simply, is based on numbers. It’s reflected by numbers themselves, percentages, ratios, graphs, etc.   It allows for tracking progress or trends because it incorporates statistical analysis. This type of data is more readily available than ever thanks to analytics programs and software that compile it nonstop from websites, apps and other hosts.   When companies combine qualitative and quantitative data, they...