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Showing posts from August, 2017

Comprehensive Case Study

Section 1      AutoTrader.com is a website that has been used as a marketplace for new and used cars available to dealers, auctions, and private party sellers.  The marketing research for Autotrader.com was used to show traffic trends and legitimate buyers and sellers of vehicles on the website.  This research was then used to go to larger dealers and vehicle manufacturers to show autotrader as a legitimate business venture and a good spot to not only buy and sell, but advertise for a manufacturers vehicles.  Dealers would then pay to advertise their vehicles on the website which is mutually beneficial for the dealer and the website.  The more dealers advertise on the website, the more people go to the website for trusted dealers and deals on vehicles which increases the views for the website and the business for the dealers.        Autotrader collected massive amounts of data through surveys of dealers and customers to deter...

Regression Analysis

     The regression analysis that I completed was based on a 5 week month of sales for an individual Best Buy store.  The base dependent variable is the traffic and close rate.  The more traffic there is generally the lower the actual close rate, but there are certainly anomalies where there is a higher close rate with higher traffic.  This could be attributed to a major launch of a new product or service that drives both traffic and sales.  The spreadsheet of sales and close rate for the 5 week month as well as the regression analysis are posted to google docs for which there is a link below.      You can see evidence in the spreadsheet that the busiest days are generally Friday and Saturday.  Sunday does occasionally lack some of the sales as it is a day when the store is open for a shorter period of time, but still allows for heavy traffic as it is a day that many people have off and are able to shop as they are not working them...

Week 6 discussion

6.1 1.  http://www.npr.org/sections/alltechconsidered/2016/12/02/504162008/for-advertisers-fake-news-is-not-the-biggest-problem 2. A hypothesis is a supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation.  A hypothesis i this article is that advertisers would not want to be associated with internet ads on pages that are considered extremist or fake news either far left or right on the political spectrum. 3. Independent variables are variables that can change regardless of other variables.  Dependent variables will change only if another variable that it depends on changes.  In this article, independent variables are advertisements on websites as they will be out on websites regardless.  The dependent variable however is the advertiser's willingness to put an ad on an extreme web page. 4. The conclusion that websites using bots to increase their web traffic and increase advertising based on the...