Broadway Cafe Case Analysis

819 Words4 Pages
Broadway Café: Network Telecommunication and wireless computing: For Broadway Café to truly turn into a 21st century café going mobile is imperative. Mobile and e-marketing is at heart of today’s youth and is the right communication channel to target such audience. A detail analysis of the mobile marketing and m-coupon strategy for Broadway Café is discussed below Mobile Marketing Strategy: For Broadway Café to effectively use mobile marketing to target its audience it should start with mobile app and m-coupons. Mobile App To manage a lasting relationship with its customers, Boradway Café should develop a mobile app. As todays customers are mobile; they spend most of their time on the smart phone and mobile devices and prefer everything…show more content…
Each m-coupon has a unique ID which is used by the system to verify the coupon. However there is always a risk that the ID can be fabricated, m-coupons can always be fabricated and spammed to customers which may damage the marketing campaign and image of the business. For the strategy to be effective, sufficient protocols should be deployed to ensure protection from fabrication of m-coupons and their spamming. Business should create m-coupons for specified short time periods only. Further coupons should be sent to the customers on their request from a designated number or system to help customers differentiate between fabricated and spam coupons from the…show more content…
Building Customer data base using M-Coupons and Mobile marketing Strategy: M-coupons and mobile marketing strategy can greatly help in gathering customer database and maintaining customer relationship. M-coupon strategy can provide a database of customer’s numbers that have voluntarily opted to share information and receive coupons. This will generate a database of customer numbers who are using the system and if a new number is popped up it will help in identifying new customer and success of the system. Further, customers who forward their coupons to others will helps in identifying network of customers. This can over time help in generating data of customer’s preferences, networks and communities. A careful analysis of such data can help in customizing special offers and deals for specific customers, group of customers or network of customers, thereby creating a stronger and lasting bond with the existing customers. Further, the data can also be analyzed to create groups of customers and communities over time on mobile app and provide them with special offers, deals, promotions and discounts as per their preference and buying
Open Document