MobiSupermarket is a marketing insights tool that leverages on social media platforms such as Facebook and consumers' "online browsing/purchasing" data. It aims to provide marketing professionals with both micro and macro analysis of their target market so as to develop best-fit strategies with detailed market segmentation.
One of the biggest motivations we have in undertaking this project is the vast amount of learning points and experience it offers. Developing a BI tool will not only enhance our understanding of what marketing professionals look out for when planning strategies but also the insights gained from the drawing on and organization of raw data.
Common terms used in this project
what are campaigns, hooks, coupons, shopping cart functions, graphs, reports, insights, wish list,
|Project Term Definition
||A campaign is made up of a combination of hooks used by marketing professionals. These campaigns are essentially a 'mix-n-match' of various demographics of consumers and coupon hooks (CHs)/social-message-hooks (SMHs).These objective of these campaigns is to increase revenue or clientele for the marketing professionals. A campaign can have many hooks with different templates.
||** Coupon Hooks: These 'hooks' act as templates, where it is essentially a virtual coupon promotion designed by marketing professionals to encourage consumers to purchase more products. An example of a coupon could be a 10% discount off all electric products or $50 off all canon cameras.
** Social-Message-Hooks: These 'hooks' act as a template, where marketing professionals get to determine if their consumers are able to see what products their Facebook friends 'Like' or have purchased.
||Shopping Cart Functions
||Essentially, this would include all basic functions (Add to Cart, Remove from cart, etc) when a consumer purchases products off MobiSupermarket.
||These graphs will be generated by data extracted live whilst the campaign is ongoing. The data extracted will be a mix-n-match of various consumer demographics such as age group, gender, country etc. These extracted data will be dependent on the parameters that the marketeer is targeting.
||This function will basically allow marketing professionals to be able to better analyze data at the end of the whole campaign, based on transaction records, previous campaign data and also coupon hook's data.