Web analytics Case Study Example | Topics and Well Written Essays - 2250 words

Web analytics - Case Study ExamplePhoto box is an online establish digital ikon and e-card sale website with about xi million users across the globe. The continued use of the Internet inspired pictorial matter box to use analytics to nurture more clients across the globe. Photo box analytics strategy was to understand the clients perfectly well. Data from clients was obtained through surveys, live chats, online community posts and center on groups. The data obtained was used to separate the customers into different segments depending on their location, behavior and tastes and preferences. Photo Box divided its clients into six different segments depending on these parameters. The various segments had varying tastes and demographics. altogether the customer data in each of the segments were profiled in a quest to understand them even better and provide products and services according to their tastes and preferences. The data were because used to predict forthcoming demand of the products and services from the customers. Analytics also helped photo box to make better decisions when doing their marketing in the different market segments leading(a) to relatively higher change rates (Glagowski, 2010). OutcomeAt the same time, the company was trying to make it easy for the 350 staff to manage and profile the eleven million clients across the globe. Implementation of the analytics strategy at photo box had significant outcomes. The company could do better intelligent and specific marketing to clients depending on their profiles and tastes and preferences.... The continued use of the Internet inspired photo box to use analytics to get more clients across the globe. Photo box analytics strategy was to understand the clients perfectly well. Data from clients was obtained through surveys, live chats, online community posts and focus groups. The data obtained was used to segment the customers into different segments depending on their location, behavior and tast es and preferences. Photo Box divided its clients into six different segments depending on these parameters. The various segments had varying tastes and demographics. All the customer data in each of the segments were profiled in a quest to understand them even better and provide products and services according to their tastes and preferences. The data were then used to predict future demand of the products and services from the customers. Analytics also helped photo box to make better decisions when doing their marketing in the different market segments leading to relatively higher conversion rates (Glagowski, 2010). Outcome At the same time, the company was trying to make it easy for the 350 staff to manage and profile the eleven million clients across the globe. Implementation of the analytics strategy at photo box had significant outcomes. The company could do better intelligent and specific marketing to clients depending on their profiles and tastes and preferences. Within a sh ort time, the company had been able to get 16% new clients from the marketing. There was a 14% increase in sales of photo box products and services. Email open rate to clients sent increased to 33% while the website click rate increased to 35%.