因此，Migo专注于整合O&Ｏ全方位数据，将破碎难以评估的消费者行为，转变成数据化轮廓并分析预测，由上至下与企业运营的每个环节串连，从“消费者洞察挖掘”、“营销沟通驱动人流” 到 “优化消费体验的门店管理” ，提供 <即时数据管理平台> 及 <零售科学顾问服务>，为零售品牌提升决策效率效能，建立与顾客前所未有的紧密关系。
net new customer profiles
free advertising exposure
online JD.com purchase transactions
net new WeChat fans
在大数据横行的时代，大数据分析公司Migo功典宣布今年5月从上百家企业中脱颖而出，被全球CIO公认最具权威的IT软件研究与顾问谘询公司Gartner选为2017年最有破坏性创新技术水准的“最酷供应商”(Cool Vendor)，Gartner全球共有650位平均产业年资为15年的产业分析师（亚洲100位）、500位顾问、4000位员工。Migo列名以零售品牌销售及营销领域最酷供应商报告 (Cool Vendors inRetail Merchandising and Marketing)注1，代表Migo的数据专业受到权威级专家的专业认证。
串连顾客消费旅程 - 自网路APP浏览偏好、线上消费、出没区域、逛街及进店偏好到购物习惯，让零售品牌能更清楚看见消费者全貌，找到更多机会。
我们依据多维度数据评估的目标顾客群样貌，进一步为您分析进店消费者中，有多少比例是您的目标顾客群，以评估每一间门店的高潜在机会� ; 同时，挖掘出开发其他进店消费者的可能性。
How engaged are your customers?
Segment customers individually as New, Existing and Sleeping and assign probabilities for them to respond to a campaign using machine learning.
Smart media consumption
Every one of your customers has a preferred media that they are more receptive to. Our media analytics engine helps identify the optimal media split for your target audience based on their persona psychographics.
Define high potential customer profiles, find others like them
We help you dig out valuable markets by defining high potential customer profiles and running lookalike targeting and retargeting campaigns with our data partners. Adding in-store customer data from Migo AIR sensors into the mix uncovers previously untapped high purchase probability customers.
Our recommendation engine suggests the best products to offer to each customer based on previous transactions, social behavior and other data.
Our automatic engagement engine will help you to pitch members at the right moment based on engagement segmentation.
Evaluate your campaigns comprehensively
for continuous improvement
Further improve campaign efficiency by recurrently evaluating the results with a set of advanced online and offline KPIs.
deep learning algorithms and predictive analytics suite provides retailers with an agile omnichannel digital transformation solution that illuminates future sales opportunities through customer persona segmentation at the country, city and store levels. This ensures relevant products, pricing and promotions individualized to each customer’s lifecycle moments. Find us in Shanghai, Taipei and Silicon Valley.
The precise results of our learning engine are directly correlated to the blend of analytics, academic, retail, and marketing expertise amongst our team. We bring together cutting-edge viewpoints from global leaders in their respective areas of expertise to produce one of the world’s most advanced retail marketing analytics engine.
Our team is committed to constantly improving our analytics platforms’ performance to ensure our customers performance objectives are achieved.
Migo retail mapping engine
We use customer profiles combined with geo-behavioral data to find the areas where a brand's target audience is more affluent.
Our retail mapping engine combines this information with geographical and competitive attributes of the most successful locations in the network, finding other spots with similar attributes.
Improve visual merchandising design
with visualized customers behavior
Heat map & Golden path
Evaluate your Visual Merchandising strategies by knowing where in the stores your customers spend most time, and their path in the store.
Global Sportswear Brand & Retailer
Eliminate guesswork and gain a clear understanding of shopper behavior by bringing predictive analytics clarity to in-store operations.
"Migo shines like a laser in a dark room, pointing out issues with retail operations and customer behavior we never even knew we had."
Global Lingerie Retailer
Celebrating their Anniversary with a promotion, this lingerie retailer asked Migo to help choose the segment of their members to target. Using our proprietary NES/NPT algorithms, we pinpointed the group most likely to make their next purchase during the 12-day promotion.
"Migo’s predictive analytics mean’t we exceeded our goals by delivering the right message at the right time."
Each year, Gartner the world’s leading information technology research and advisory company, identifies “Cool Vendors” in key technology areas and publishes a series of research reports. Gartner is the world’s leading information technology research and advisory company and Migo has been named a Cool Vendor in the “Cool Vendors in Retail Merchandising and Marketing, 2017” report by Gartner, Inc. Vendors products and services in these reports are recognized as innovative, impactful and intriguing. Add paragraph text here.
According to the Gartner Retail Merchandising and Marketing report: “Emerging artificial intelligence (AI) applications are transforming the ability of markets and merchandisers to understand and predict customer behavior”. Additionally, “Social collaboration is a key competency for creating loyalty through direct links between brands and their consumers.”
What makes Migo a “Cool Vendor”? Our predictive analytics suite ingests diverset data (transaction, in-store traffic, mobile behavioral data, and social media commerce signals) and analyzes it across multiple dimensions using machine learning as the core for all analytics. This enables retailers to gain actionable insights into retail operations and customer touch points. Migo’s deep learning algorithms provide high dimension prediction analytics for customer next purchase time, next product preference, pricing sensitivity, channel preference and contextual factors such as weather and the effect of occasions such as holidays.
Automated retail analytics that enable retailers to gain more control over their business in four areas: Store layout design, inventory management, customer relationship management, campaign evaluation of physical store, Campaign planning, and employee management. Physical store retailers can then accelerate their omnichannel digital transformation by individualizing the customer experience at the right time and with the right channel.
To learn more download our Migo Viewpoint paper on Agile Omnichannel Digital Transformation. Find out how Migo’s analytics suite of products is transforming how global retailers gain deeper customer understanding and better decision making to improve the customer experience and retail marketing operations.
Disclaimer:The Gartner Cool Vendor Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved.Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
 Gartner “Cool Vendors in Retail Merchandising and Marketing” by Kelsie Marian and Robert Hetu, May 4th, 2017
 Cool Vendors 2016: Features, Fads and Disruptions Will Define the Digital Landscape, 19 May 2016, Daryl C. Plummer
Chief Executive Officer
Tony spent his childhood in Taiwan, before going abroad to the US at the age of 16 and stayed all the way to his career life, making him an expert in cross-cultural networking & communication. He successfully created, built and sold two software companies in the US before the age of 30, he then shifted his attention to the Asian market, and acquired Migo Corp. Within a shockingly short amount of time, Tony was able to turn loss into a profit within 10 months, and defeated IBM, Oracle, in an global deal with ASUSTeK Computer Inc.. In 2015, Migo Corp. became an important partner of Alibaba group, and the precision advertising company of TMall and Taobao. In 2016, Tony even lead Migo Corp. to establish partnership with Tencent. In 2017, with Tony’s leadership, Migo has been selected as a Gartner Cool Vendor in Retail Merchandising and Marketing.
Chief Executive Officer, North America
For the last sixteen years Andrew has worked globally in organizations to develop marketing growth strategies that combine content, data, technology and communication, to create innovative marketing solutions to address challenging business problems. This has been gained in both consumer and B2B market verticals.
He strongly believes that the utilization of big data insights and advanced analytics makes companies more customer centric and innovative. This belief in has been put into practice and recognized with several Effie marketing creativity and effectiveness awards.
He has had the good fortune of working at a senior strategic level with some of the leading brands in the world such as Diageo, P&G, Oracle, GM, Intel, IBM, Hitachi, HSBC and Cathay Pacific Airways.
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