MECCA brings our customers the best in global beauty across our retail stores and online channels in Australia and New Zealand. We’ve created a unique shopping experience for our customers in our 100+ stores, with an extensive collection of products from over 100 beauty brands, and exceptional service and beauty expertise.
At MECCA it’s about earning and keeping customer trust. We have challenged ourselves to translate our highly personalized in-store service to our online experience. A fast and effective PoC with Amazon Personalize, led by the MECCA technology and CRM teams, in collaboration with our partner Servian, demonstrated how much we could achieve without developing our own recommendation engine. Since integrating Personalize, we are seeing our customers respond positively to the new recommendations with a 65% increase in e-mail click-through rates and a corresponding increase in email revenue relating to the products recommended by Personalize. To personalize our customer experience further, we are now extending the use of Personalize to additional areas including our website.
Sam Bain, MECCA eCommerce & CRM Director
ViewLift offers a complete end-to-end solution for creating, launching, and monetizing video applications across multiple device platforms, including mobile, over-the-top, connected TV, and gaming consoles on a proprietary platform with advanced analytics, and tracking performance in real-time.
"With Amazon Personalize integrated into our platform, we have enabled our clients to maintain a +24% increase in clicks on the recommended videos tray compared to the curated or auto generated trays of content. Even more, our cost and data science resources required to train our own custom machine learning recommendation models and scale to millions of users have significantly reduced. Amazon Personalize is helping our client keep their customers more engaged, entertained, and the experiences highly tailored for each users’ personal interests, while enabling our data science team to focus on building new innovated capabilities for our platform."
Manik Bambha, Co-founder & President - ViewLift
Proud digital partner to some of the biggest names in sport, Pulselive create experiences sports fans can’t live without; whether that’s the official Cricket World Cup website or the English Premier League’s iOS and Android apps.
“We’re focused on how we can use data to personalise and enhance the online fan experience for our clients through the Pulselive Platform. With Amazon Personalize, we’re now providing sports fans personalised recommendations enabled by machine learning. We don’t consider ourselves machine learning experts, but found Personalize to be straight forward and the integration was complete in a few days. For one of our clients, a premier European football club with millions of fans globally, we immediately increased video consumption by 20% across their website and mobile app. Their fans are clearly embracing the new recommendations. Leveraging Amazon Personalize, we will be able to further push the limits in building data driven 1-to-1 personalised experiences for sports fans everywhere.”
Wyndham Richardson, Managing Director & Co-Founder - Pulselive
Voodoo, based out of Paris, France, is a the second largest mobile gaming company in the world. With over 2 Billion downloads and 300 million monthly active users, their community of mobile gamers turn to them to enjoy hits including Helix Jump, Sake VS Block, Paper.io, and many more games out of their library of over 160 games.
“Our product teams are quickly building and launching new applications but given the breadth of our portfolio we needed to improve how we were engaging our existing users to increase engagement and retention on our non-gaming apps. Using Amazon Personalize we have automated tailored recommendations starting on every user’s first day within the apps, resulting in a 15% increase in retention amongst these users. Furthermore, by reducing our dependency on our home grown personalization tool, we have reduced our development time by 53%, enabling our teams to focus on the next set of opportunities to further improve experiences for our customers.”
Robin Mizreh, Technical Lead - Voodoo
ABLY is a hot Korean startup with a transformative approach to ecommerce and apparel. Using our mobile apps we bring celebrity style and fashion from Instagram into the hands of millions with about 2,000 daily product uploads.
"At ABLY, we are transforming the apparel industry with our approach to ecommerce. With more than 6 million app downloads, 300,000 unique daily active users, and $180M annualized GMV, we needed to rethink how we generate repeat purchases and increase cart size to continue our accelerated growth. At ABLY, we are now using Amazon Personalize in our front app page to create individualized recommendations for our customers based on their browsing and purchase history. The results are exceeding expectations and we are amazed at the speed and performance of the recommendation model. For startups like us with limited resources and capacity, Amazon Personalize is a breakthrough—enabling us to build sophisticated personalization capabilities with no prior machine learning experience."
Yujun Kim, CTO - ABLY
Coursera is a leading provider of universal access to the world’s best education, partnering with over 190 top universities and organizations to offer courses online to its more than 40 million users.
"Every learner comes to Coursera with a unique set of educational goals. With over 4,000 classes available, the challenge is tailoring the experience to the personal interests of every user. Amazon Personalize allows us to adapt to individual preferences in real-time, providing highly relevant recommendations that engage our learners. Within a few weeks we were able to develop and deploy the Amazon Personalize model into production with the benefits of automatically scaling for our 40 million users."
Mark Chamness, Director, Data Science & Machine Learning - Coursera
KEEN is a values led, independently owned outdoor footwear brand with a mission to responsibly create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN ignited a revolution in the footwear industry with the introduction of the Newport sandal, launching the concept of Hybrid footwear into the market and setting KEEN on a path of driving consistent product innovation that exists today.
"Over the past two years KEEN has been working to improve the way we engage our customers to bring them increasingly relevant content for their outdoor footwear needs. Our goal is to educate our customers on the best footwear options based on their desired outdoor activities. To really bring this capability to life we turned to AWS and our partnership with Data in the Raw and develop a solution powered by Amazon Personalize to use purchase and browsing history to best tailor recommendations and content for our customers along their purchasing journey. With the initial use we looked to improve the experience for our browse abandon customers through our email program. Initial results are encouraging, our open rates, Rev/M Sends, and Opt out Rates were very healthy to begin with but with the implementation of Amazon Personalize we are seeing, email CTR is up 67% over our control messaging. Rev/M Sends is up 49%, and because the content is even more relevant, our Opt out Rate has dropped 36%. But where the rubber hits the road for me is on revenue. Test emails have shown a 12.5% increase in revenue versus the control. It is clear that the AWS has given us another ‘arrow in our quiver’. My only regret is this capability didn’t exist two years ago when we started this journey."
Kristina Smith, Director Global Digital Marketing - KEEN Inc.
Domino's Pizza Enterprises Ltd (DPE) is one of the largest pizza businesses in the world; their vision is to be the leader in deliveries in every neighborhood.
"The customer is at the heart of everything we do at Domino's and we are working relentlessly to improve and enhance their experience. Using Amazon Personalize, we are able to achieve personalization at scale across our entire customer base, which was previously impossible. Amazon Personalize enables us to apply context about individual customers and their circumstances, and deliver customized communications such as special deals and offers through our digital channels."
Allan Collins, Group Chief Marketing Officer - Domino's Pizza Enterprises
Sony Interactive Entertainment PlayStation Network is a global leader in interactive and digital entertainment; with the goal to bring together the best games, movies, TV shows, music and more for their users.
"At Sony, we are focused on developing predictive models to create an engaging and relevant experience for all our consumers. However, delivering truly personalized offers and tailored content to millions of users across channels and content formats is no simple task – it requires the complex integration of advanced technology, people, and processes. Amazon Personalize eliminates the heavy lifting of building a personalized recommendation system. We can leverage Amazon Personalize's data pipelines and indexing infrastructure, while developing our models using Amazon SageMaker. The combination of Amazon SageMaker and Amazon Personalize enables us to automate and accelerate our machine learning development, and drive more effective personalization at scale."
Gabor Melli, Senior Director of Machine Learning - Sony Interactive Entertainment
Lotte Mart, a division of Lotte Co., Ltd., is a leading South Korean retailer that sells a variety of groceries, clothing, toys, electronics, and other goods.
“To enable us be more customer centric, scale our reach, increase uptake by users, we turned to Amazon Personalize to enable over 600,000 users of our M Coupon mobile app to save on their in store shopping experience. By using Amazon Personalize, we have seen a 5x increase in response to recommended products compared to our prior big data analytics solution resulting in increased revenue per month. In particular, Amazon Personalize has increased the number of products that the customer has never purchased before up to 40 %. The new recommendation service powered by AWS is the first of a much broader roll-out of AI technologies across our organization“
Jaehyun Shin, Big Data Team Leader at Lotte Mart
PATH’s mission is to end homelessness for individuals, families, and communities. PATH envisions a world where every person has a home. PATH helps people find permanent housing while providing case management, linkages to medical and mental healthcare, benefits advocacy, employment training, and other services to help them maintain their homes stably. Since 2013, we have connected more than 8,500 people to permanent homes.
“With the integration of Amazon Personalize, we have been able to match over 550 individuals experiencing homelessness with housing as part of our LeaseUp program. This innovative web portal has allowed PATH and the LeaseUp team to engage more than 1,100 landlords and make available nearly 2,000 units, connecting those in need with available housing units. Amazon Personalize captures relevant information about available units of housing so case managers can recommend the best possible housing option to their clients. With improved outcomes powered by Amazon Personalize we are now taking our platform to help the more than one hundred thousand homeless throughout the state of California find a home.”
Joel John Roberts, CEO, PATH
Yamaha Corporation of America (YCA) offers a large assortment of high-quality musical instruments and audio products to U.S. customers. Their products include Keyboard, Guitar, Winds and Strings, Percussion, Professional Audio and Consumer Audio.
“Amazon Personalize saves us up to 60% of the time needed to set up and tune the infrastructure and algorithms for our machine learning models when compared to building and configuring the environment on our own. It is ideal for both small developer teams who are trying to build the case for ML and large teams who are trying to iterate rapidly at reasonable cost. Even better, we expect Amazon Personalize to be more accurate than other recommender systems, allowing us to delight our customers with highly personalized product suggestions during their shopping experience, which we believe will increase our average order value and the total number of orders.”
Ishwar Bharbhari, Director of Information Technology - Yamaha Corporation of America
The Subway restaurant chain offers guests in over 100 countries quality ingredients and flavor combinations with nearly 7 million made-to-order sandwiches created daily.
“At Subway, guest experience matters. Using Amazon Personalize, we can quickly deliver personalized recommendations for our endless varieties of ingredients and flavors to fit the unique lifestyles of our busy guests. Amazon Personalize lets our team use simple API calls to curate recommendations without requiring machine learning expertise. We are looking forward to continuing to work with Amazon Personalize to provide the best experience to our guests who want to eat fresh. We have already successfully tested using Personalize to provide recommendations to guests making orders from our app, and are excited to expand into personalized app notifications in the near future.”
Neville Hamilton, Interim Chief Information Officer - Subway
Zola is the fastest growing wedding company in the country using design and technology to create the easiest wedding planning and registry experience for couples getting married today.
"At Zola, we develop innovative wedding planning tools to serve couples. We want to be there along the entire wedding journey and provide the best possible recommendations to our customers based on their style, interests, or preferences. Until now, those recommendations have been implemented via rule-based ranking, popularity, or, more recently, via a similarity model calculated offline. These methods were difficult to maintain and scale. Amazon Personalize provides us with state-of-the-art algorithms and an end-to-end personalization solution that enables us to respond to customer actions in real-time. Being a small team, using Amazon Personalize will allow us to quickly deliver solutions that would have otherwise taken a much larger team and several months development time."
Stephane Bailliez, VP of Engineering - Zola.com
NAVITIME is the leading provider of navigation technology and services in Japan.
"NAVITIME is committed to delivering the most pertinent and up-to-date travel information for all our users. Beyond just getting users from one spot to the next, NAVITIME takes into consideration their previous trips and traveling preferences, and use that information to offer personalized experiences and discover businesses around them. We believe that Amazon Personalize offers an efficient solution that will help us drive relevant, contextual recommendations, and further improve our overall user experience."
Ikuo Odanaka, General Manager of Development Department - NAVITIME
Pomelo Fashion is a leading omnichannel fashion brand based in Bangkok, Thailand, with a global customer base.
"Our goal is to be the best omnichannel company in Southeast Asia. We work relentlessly to make that dream a reality by constantly improving the customer experience at all stages through the shopping journey, both offline and online. We use Amazon Personalize to deliver a unique shopping experience to our many customers across the globe. Amazon Personalize allows us to seamlessly provide this personalization at scale. For Pomelo, Amazon Personalize is not just powerful but transformational in today’s e-commerce world!"
Paulo Almedia, Vice President of Engineering - Pomelo Fashion
RBmedia is a global leader in spoken audio content and digital media distribution technology that reaches millions of consumers.
"Our customers are far more likely to engage with personalized content recommendations that are tailored to them and their particular needs, especially when they're given hundreds of thousands of titles to choose from. Amazon Personalize made it easy to build, train and deploy a personalization system at scale, without the need of utilizing extensive resources and specialized expertise."
Mike Pyland, CTO - RBmedia
Pathé Thuis is the leading VOD provider in the Netherlands for new theatrical releases with over 2500 titles.
“At Pathé Thuis we’re always working to help our users find more relevant and delightful content based on their own preferences. But finding the right recommendations for our customers from our large and ever expanding catalog, with new content being added frequently is hard. With Amazon Personalize, we’re able to easily train sophisticated, custom machine learning models on our data to rapidly produce more relevant movie recommendations for our customers. We were able to integrate Amazon Personalize easy-to-use APIs into our existing workflows and immediately see business value, something that would have been impossible to create from scratch with such a small and agile team. Now we can easily delight our customers with personalized content recommendations at scale.”
Ivar Vermeulen, Head of Platform - Pathé Thuis
Ateam Inc. is a Japanese company with several lines of business including an online bicycle store called “cyma.”
“Our cyma store delivers fully assembled bicycles directly to customers’ doorsteps. Our growing business aims to be a leader in Japanese bicycle e-commerce, a goal that we’re aiming to achieve through our excellence in recommending products according to users’ personalized needs. We decided to use Amazon Personalize as a cost effective, highly compatible solution for our personalization needs. In addition to using the recommendation results from Amazon Personalize for our website, we plan to utilize the insights from Amazon Personalize in our sales flow. We are excited for upcoming features and services from Amazon Personalize and AWS.”
Masahiro Funakoshi, Director Vice President of Engineering - Ateam Lifestyle Inc.
Spuul is an Over-the-top (OTT) platform delivering Indian Movies and TV Shows to an audience worldwide.
"With thousands of movies and TV shows selection, it is a challenge to surface the most relevant programs to our viewers. To enable faster and more efficient content discovery, we want to deliver the highest quality content recommendations that are tailored to individuals' interests and preferences. Amazon Personalize enables us to easily and quickly implement a recommendation engine. Despite having no prior experience in AI/ML, it only took us 3 days to understand the service, create a first data set, and generate a recommendation. With Amazon Personalize, we will be able to provide every consumer with a personalized viewing experience."
Daniel Muller, Head of Cloud Infrastructure - Spuul
“In this time of one-size-fits-all personalization and expensive customer data platforms, Data in the Raw is different. Unlike other platforms that sell users back their own data, our affordable pricing already includes ownership of raw clickstream data. With the recent release of Amazon Personalize, our clients are now shifting away from boring and bloated personalization platforms to build experiences that reach their customers more efficiently. Not only do our clients save thousands of dollars using Data in the Raw and Amazon Personalize, they have ultimate control over their own data and freedom to build what works for them. With our core values of data democratization, Data in the Raw and Amazon Personalize are the perfect match.”
Andrew Duffle, Co-Founder - Data in the Raw
Refer to developer guide for instructions on using Amazon Personalize.
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