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  Before we deep dive into how cookies help in personalization and marketing specifically in online fashion, let us understand what are cookies. What are Digital Cookies? Cookies are data files that stores user data and helps browsers/websites to identify, locate, and target users seeking relevant information.  (Miyazaki, 2008) How Does it Help? Cookies help enhance user experience and provides brands with data source to re-target intent driven users. Types of Cookies: There are two types of Cookies- 1.        Magic Cookies- Magic Cookies are small data files that are exchanged between server and websites to keep a track of digital activity, locate relevant users and display user specific content. 2.        HTTP Cookies- HTTP Cookies are similar to Magic Cookies in function, although they are more advanced and can be stored in user's device for better targeting. Besides the above mentioned types...

Website Analytics in Fashion Industry What is Website Analytics? One can define Website Analytics as the collection, measurement, analysis, and reporting of website data. The main objective is to measure your goals at an organizational level as well as at user levels to understand and optimize the web data. You can use it as a tool to identify the success and failure factors of your aims, formulate a strategy and make improvements in your platforms in order to make an amazing user experience and eventually to build brand value. Measuring content by keeping your Fashion  business in mind. It's best to create goals and Calls-to-action (CTA) from an overall organizational perspective and of site visitors. These goals and CTAs are vital for effective website analysis and Key performance indicators play a crucial role to measure the success or failures of those goals and calls to action.   Here are some examples for building a measurement framework for a Fashion E-Commerc...

  What Impact Does Big Data Have on the Fashion Industry?   What exactly is big data? Big data refers to massively complex structured and unstructured data sets that are rapidly generated and transmitted from a wide range of sources. These characteristics comprise the three Vs of big data: v Volume: Volume refers to the enormous amounts of data that can be stored. v Velocity: The lightning-fast rate at which data streams must be processed and analyzed. v Variety: Variety refers to the various sources and forms of data that are collected, such as numbers, text, video, images, audio, and text. Data is constantly generated these days whenever we open an app, search Google, or simply travel from one place to place with our mobile devices. What was the end result? Massive amounts of valuable data that businesses and organizations must manage, store, visualize and analyze. Traditional data tools are not built to handle this level of complexity and volume, which ...