Nestle Used The Four Ps To Achieve Social Intelligence

Nestlé took a different approach to its Chinese social command center than it did in other countries. Nestlé China used the firm’s global digital acceleration team (DAT) framework to create a centralized social command center in its Beijing headquarters.

The four Ps — purpose, people, process, and platform — are all important to establishing a successful social intelligence capability. My recent case study, entitled "Succeed With Social Intelligence In China", shows how Nestlé localized the four Ps to establish a successful social intelligence capability in China. The company:

  • Set measureable goals for social activities. One of the major challenges that Nestlé China faced was how to use social to manage precampaign customers and how to measure the effectiveness of social marketing campaigns. When Nestlé China built its social command center, it set a detailed goal to improve precampaign customer management, including A/B testing of customer usage hypotheses, customer feedback on marketing content, and spokesperson selection satisfaction rates.
  • Hired experienced employees with both global and local social marketing experience. The person that Nestlé China chose to head its social command center was involved in the creation of Nestlé's first social command center outside of China. The company allocated dedicated resources to the platform who had a keen noise filter and could determine which actions the business should take based on the data. It developed regular training sessions for its lines of business and assigned the social expert to share social intelligence findings with the rest of the business.
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China Unicom Monetizes Customer Behavior Data

China Unicom demonstrated its big data analytics platform, including customer analytics, during the Shanghai World Mobile Congress last week. Huawei is helping China Unicom’s Shanghai affiliate build a big data analytics platform that can collect and analyze customer demographics and operational and behavioral data. For instance, it can estimate a consumer’s monthly income based on annual mobile fees, know whether she is walking or driving, and what routes she regularly takes. Such data is unique and even more comprehensive than that generated by Internet service giants like Baidu, Alibaba, or Tencent. China Unicom will begin to leverage this data analytics platform to monetize data in several ways:

 

  • Retain customers. China Unicom can predict which high-value customers may be thinking of dropping its services and target marketing based on the customers’ context to retain them. For instance, the system can automatically send a targeted offering when a customer passes by a China Unicom office. In 2014, the telco performed A/B testing among 200,000 Unicom subscribers in Shanghai who were thinking of changing telecom service providers. This helped China Unicom retain RMB 10 million in revenue from those users receiving targeted marketing offerings from the system.
  • Enhance public security. China Unicom uses the platform to help the Shanghai city government to monitor people’s location in the city in real time. The system provides a real-time heat map and automatically sends an alert when it discovers that too many people are crowded into one area. This can help the government avoid accidents such as the one that occurred in the Waitan district of Shanghai last year.
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Financial Institutions Can Create New Customer Value With Huawei’s FusionInsight Analytics Platform

I attended Huawei’s 2015 global analyst summit in Shenzhen last week and studied its latest strategy for big data innovation. In a change from its previous big data offerings around storage, Huawei has reorganized the data analytics department and focused on infrastructure software that enables big data applications from ISV partners. Mr. Zhu, General Manager of Huawei FusionInsight, talked about FusionInsight, which financial institutions like ICBC and China Merchants Bank use to enhance customer analytics capabilities like customer recognition, segmentation, and marketing automation. Basically, Huawei FusionInsight is a data analytics platform with two major components: 1) a distributed open “database” platform that includes Hadoop, Sparc, and Storm and 2) “middleware” with open APIs to enable multisource data management and analytics.

Chinese financial institutions have a huge amount of legacy transactional data as well as in-motion online and mobile banking data, but they are unable to deal with all of it. With the previous systems of record, financial institutions couldn’t analyze all of this structured and semi-structured data in a unified “data pool.” To solve this problem, they are using Huawei FusionInsight to consolidate multisource data and enable more efficient customer and marketing analytics. Huawei FusionInsight is creating new value in the customer journey for a leading Chinese commercial bank by allowing it to:

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Contextual Interactions Changes Marketing In China: A Brief Survey

At Forrester’s recent annual Marketing Leadership Summit in Shanghai on March 25, I gave a presentation focusing on ways to build a contextual marketing engine and propel customers to the next best interaction. Key takeaways included:

  • Heavy mobile users in China are generating many new customer contexts. Heavy usage of mobile devices in China has changed the ways that people interact with enterprises. Today’s customers don’t just interface with brands via customer response, customer purchase, and customer services; more commonly, it happens outside of those campaigns. The context of all of those interactions determines whether a customer will engage — and, more importantly, transact — with the brand again.
  • Contextual interactions are changing marketing in China. Early adopters like Didi Taxi use contextual marketing from Day One and provide persistent incentives to engage with both providers and customers. Wanda Group, China’s leading business real estate company, acknowledges customer contextual interactions in its shopping malls across the nation and provides merchants with mobile moments to improve the effectiveness of their targeting.
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Chinese Enterprises Should Revamp Their Loyalty Programs

Firms in China focus on improving customers’ awareness of their brand and increasing their market share. Most of the Chinese marketers I spoke with for my latest customer loyalty research have built frequent-buyer programs that dish out lots of points and coupons but don’t do nearly enough to positively affect customer retention. Such fixed, one-dimensional frequent-buyer programs do not create deep connections between the brand and its target customers. Chinese enterprises must revamp their loyalty programs and use digital to introduce more experimental rewards throughout the customer life cycle. To raise the maturity level of loyalty programs in the digital era, Chinese enterprises should:

  • Integrate customer loyalty into digital strategies. Most Chinese firms lack the ability to analyze digital data and apply it to loyalty programs or campaigns. A top Chinese bank has launched a digital strategy to move frequent users from branch offices to online channels. However, its loyalty programs are not yet able to analyze digital customer data and integrate it into marketing campaigns. Inconsistent campaigns in different channels can confuse regular users.
  • Combine customer data management from digital channels. Chinese social media platforms like Sina Weibo and WeChat are opening more application programming interfaces to allow organizations to access data about customer location and behavior, but firms do not manage this data well. A Chinese airline has created public WeChat accounts to serve customers, but does not integrate the data collected from WeChat into its internal database.
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Apply Social Listening To The Entire Organization

Chinese organizations started monitoring social media for purposes of PR crisis management. As I noted in an earlier report, Spring Airlines decided to build social listening functions to identify crises and perform basic brand tracking after struggling with a public relations crisis — the backlash from airline staff blacklisting a passenger for complaining about flight delays — on Sina Weibo in 2012. Like Spring Airlines, most Chinese organizations now hire social media monitoring specialists and leverage insights drawn from social data to support marketing functions like optimizing marketing campaigns in real time, measuring the results of social campaigns, and collecting ratings and reviews from customers.

Moving forward, some early adopters in China have applied social listening to broader business functions in their organizations, including customer service, sales, distribution, and product innovation. In my most recent report, I see that these early birds have achieved benefits including:

  • Optimized customer experience in marketing campaigns. A leading beverage company used a social listening platform to analyze consumer sentiments and shorten response times in China. Its marketing team created an in-house social marketing benchmark system, instantly analyzes customer behavior, and modifies its marketing campaigns based on that analysis.
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Apply Social Listening To The Entire Organization

Chinese organizations started monitoring social media for purposes of PR crisis management. As I noted in an earlier report, Spring Airlines decided to build social listening functions to identify crises and perform basic brand tracking after struggling with a public relations crisis — the backlash from airline staff blacklisting a passenger for complaining about flight delays — on Sina Weibo in 2012. Like Spring Airlines, most Chinese organizations now hire social media monitoring specialists and leverage insights drawn from social data to support marketing functions like optimizing marketing campaigns in real time, measuring the results of social campaigns, and collecting ratings and reviews from customers.

Moving forward, some early adopters in China have applied social listening to broader business functions in their organizations, including customer service, sales, distribution, and product innovation. In my most recent report, I see that these early birds have achieved benefits including:

  • Optimized customer experience in marketing campaigns. A leading beverage company used a social listening platform to analyze consumer sentiments and shorten response times in China. Its marketing team created an in-house social marketing benchmark system, instantly analyzes customer behavior, and modifies its marketing campaigns based on that analysis.
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Customer Obsession Differentiated Uber's Hailing Services In China

Uber faces fierce competition in China from local taxi hailing service providers Didi and Kuaidi Taxi, which both launched Uber-style e-hailing services in 2014. Both providers use a costly subsidy model to entice taxi users to switch to e-hailing services. Kuaidi Taxi, which recently received $700 million in Series D funding to buy more self-owned e-hailing vehicles, has hired more drivers and continues to provide subsidies. Uber has a smaller user base than either Didi or Kuaidi and limited funds that it can leverage — so to win customers in China, Uber must engage customers differently. Uber can leverage its global organization’s existing customer analytics strategy and tools to better understand their (potential) customers and engage with them throughout the customer life cycle.

On New Year’s Eve 2014/2015, it was predicted that taxi service would be unobtainable as people concentrated on the New Year countdown. Uber analyzed historical customer data and was able to provide more appealing e-hailing options than Didi’s and Kuaidi’s cash coupons. Uber contacts customers in advance and asks them to confirm any rate increases due to its dynamic pricing model; this helps to set the correct expectations with customers about fares:

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Chinese Banks Benefit From Customer Analytics

China has experienced a fast expansion of credit card usage in the past 10 years, accumulating more than 390 million credit cards by the end of 2013, around 16 times more than 2003. But Chinese banks suffered from low activation rates of credit cards. In my recent report, I found China CITIC Bank (CNCB) faced a similar challenge; their 21 million credit cards had less than 20% activation before 2012.

In 2012, to increase the number of active credit card users, CNCB decided to revamp its customer analytics capabilities to better understand customer profiles and manage customer relationships. As a first step, the bank used SAS Enterprise Miner to deeply analyze both active and inactive cardholders and their usage scenarios and to measure the effectiveness of its credit card campaigns and programs through cardholder analysis for customer segmentation and marketing program effectiveness analysis including:

  • Cardholder analysis for customer segmentation.CNCB first collected and classified basic information about its cardholders from past marketing campaigns and transactional data. It defined four basic types of cardholders: inactive users, moderate users, convenience users, and heavy users. The bank spent two months to build data marts from the summarized data. It decided to focus on two groups of inactive cardholders: those who could be swayed by marketing campaigns and those who were heavy users of other banks’ cards but not CNCB’s through the analytics engine.
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Can Visual Analytics Stimulate Social Commerce In China?

with Allison Smith, Xiaofeng Wang and Vanessa Zeng

Chinese social platforms have started to engage in commerce via partnerships with eCommerce marketplaces, but online sales conversion rates from social traffic have been disappointing. For example, in May, 360buy (JD.com) — the second-largest B2C eCommerce marketplace — received a level-one access point on WeChat, the hottest social platform in China, but this didn’t deliver the large quantity of fulfilled mobile orders that the company expected. Haoyu Shen, CEO of JD.com, confirmed during the company’s Q3 financial earnings call that the majority of fulfilled mobile orders still originate from JD.com’s own mobile app. Forrester sees two major inhibitors of social commerce in China:

  • People don’t expect to see commercial promotions of products they don’t want on social media. Consumers normally blacklist friends or public accounts that push these ads, making it difficult to implement traditional B2C or C2C eCommerce models on social platforms. However, if social marketplaces can provide people a tool in those moments in which they actually want to buy a certain product, it may enable social commerce.
  • Customers have poor discovery and buying experiences on social commerce platforms. Social platforms in China that sell products and services online have limited search functionality, which does not make for a user-friendly customer discovery stage.  Chinese consumers have gotten used to being able to compare many products and prices when making online purchases — but current social commerce platforms can’t support that.
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