Marketing Analytics: International Marketing Analytics You are a markesing student and wit be spending this semester in Styjachuang. China, through on exchange progrith of Hebei Uriversity While working on one of your dass projects, you meet Us. Liu, the oweser of a handiciaft shop whe atanched a new wobshe a few months ago. With the new website came booming sales. Most of the orders that she filed in the last three months came from U.S. custemers. She is exelited but does not know how to andyre the wobsee traffic form her U.S. shopowis in arter to better 1argee tham. She asks you for beip. The purpose of this exerdise is to learn the diferent mebics used in wet anelysics and how to analyze websiee tratile from focelgn. ahopetis. The metrics lo be considered are. - Page views - Visits - Unique viaitern - Rageivisit - Average visit duration - Bounce rabe - Percentage new visits 1. Ms. Liu stures her web data with you, which shows that she hes an averpge of 500 daly poge views during the wookdays, and as avecege of 1,200 doly poge vews on the weekends. Evch time someone loads one of her pages, it courts as a page view, If each page viewer petuses an arerage of two pages per vilut on weekdias end three pages per vest on weekentil, then how many weelly 2250 on weekdon, 1200 on weekends 1250 sn weekdays, 800 on weekends 1750 on weekdeys, 1000 on woekends 1500 en weekdrys, 900 on weekends 2000 on weekidays. 1100 on weekends 2. Ms. Lu teils you that on euch weekday, visiors return to her website an average of twice, and on weekends, vishors teturn number of uoers who vilt the ste, regardess of the number of their vists/ visit her site on weekdins and weekends. Phease note that if a paticular vishar cemers to twe sihe every day of several simes a day, in ste counts as arly ane vist. t75 on woekdays, 120 on woekends 125 on wekdeys, 100 on weekends 150 on weekdays, 110 on weekends 200 on weehdeys, 140 on weekends 225 on weviotays, 160 on weekends 3. Ms. Liu wants to add more information to her website about her handicrafts and the origin and location of the minority Chinese groups who make them, but she doesnt know if this is feasible. She thinks that this may depend on the average visit duration that users spend on the site. She asks you to calculate how much sme users. spend on the site during each visi. Google metrics show that on weekdays, unique visitors spent 12.5 hours on the ste and on weekends, unique visitors spent 15 hours on the site. Note: While website owners want users to spend a long time on their ste, the average time spent is generally three to five minutes or less. 15 minutes on weekdays, 12 minutes on weekends 12 minutes on weekdays, 11 minutes on weekends 6 minutes on weekdays, 9 minutes on weekends 18 minutes on weekdays, 14 minutes on weekends 9 mirvites on weekdays, 10 minutes on weekends 4. Not all of the unique visitors are real shoppers, and 55 percent of them "bounce" off of the poge. A bouncer is someone who visits the site and either decides that he or she is in the wrong place, or feeis that he or she is experiencing "surf shock" and lesves. Ms, Liu wants to know the number of real potential shoppers who visit the site on weekdays and on weekends. 73 on weekdays, 65 on weekends 56 on weekdays, 45 on weekends 64 on weekdays, 55 on weekends 69 on weekdays, 55 on weekends 60 on weekdays, 50 on weekends 5. Ms. Liu wants to focus on building a consumer base and is seeking repeat customers. She is less interested in newcomers to the site. Google metrics show that the percentage of first-time users is 20 percent. What is the number of repeat customers on weekdays and on weekends? 150 on weekdays. 90 on weekends 25 on weekdays, 20 on weekends 300 on weekdays, 120 on weekends 100 on weekdays, 80 on weekends 250 on weekdays, 110 on weekends