Eason Lin

Business Analyst

January 28, 2016

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Mobile payment: from data collection to trade zone analysis

KFC, McDonald's to accept Alipay in China

KFC alipay

KFC China fast food restaurants accepted Alipay mobile payments since July 2015. McDonald’s China also adapted Alipay in September 2015. Consumers now can use unique Alipay QR code in their smartphones to pay for the orders, which transactions will take only two seconds or less. It will be more convenient and efficient for both customers and cashiers. All KFC restaurants in the country only accepted cash payments in the past 27 years. Though Alipay simplifies the payment process, yet the benefit of creating consumer behavior database has been the main reason to accelerate the cooperation of these two industry giants.

For retailers in food and beverage or FMCG industry, knowing consumer behavior and target customer segments for different trade zones is as important as improving product and service quality. Classify customers into different groups in terms of different needs and characteristics to optimize its products and marketing mix for store performance improvement.

Usually, brand owners could pull out consumer behavior data from CRM database. Yet it’s hard to attract people to sign up for the membership program without big incentives such as discounts or exclusive deals. Now collecting consumer data through mobile payment makes it easier. Using big data technology to build customer profiles, to forecast the spending potential from purchase orders. Specify demographics like age, gender and behaviors like product-purchase interests in local areas. Identify high potential customers regarding different trade zones to enhance sales promotion and market strategy planning for better store performance. Different target segments in different trade zones could also be a good reference for the new store location selection, sales forecast and lease negotiations.

Mobile payment not only provides superior customer shopping experience, but supports the demands of O2O commerce. Retailers could also use big data analysis to find out who are the most desirable customers, and then create personalized offers which they are likely to buy.

 

Featured image credit : pintu360.com

 

 

Weiwei Lai

Business Analyst

January 23, 2015

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Tesco completes CRE joint venture in China

Store network optimization is next big thing

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China Resources Enterprise (CRE) has finalized acquisition with Tesco to create the largest food retailer in China by the end of May, 2014. The joint venture will combine Tesco’s 135 outlets in the country with CRE’s almost 1,000 stores, called Vanguard. Vanguard owns various business types such as hyper-marts, convenience stores, supermarkets and others. Among these outlets there are more than 250 hyper-marts. It is crucial for CRE to effectively carry out integration and store optimization plan after the acquisition.

original news >>


getchee Insights

To better execute store network optimization, brand owners need to fully understand market potential and penetration of targeted city. Reviewing performance of current stores and comparing actual performances against potential’s to get a clear picture.

Steps of SNO (Store Network Optimization)

  • Scorecard: to assess each branch and analyze competitor distribution
  • Cannibalization analysis
  • Channel optimization: overall planning of current stores (keep, improve, move or close)
  • Market expansion: site selection of new stores in terms of untapped high potential areas

 

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