Bridging disparate data in a fragmented world
In today’s world, consumers engage with brands across multiple platforms, including social media, online marketplaces, in-store experiences, and customer service touchpoints. However, the main challenge for marketers and advertisers is the fragmentation of customer data across these different channels. Each platform generates its own set of data, which is stored in different databases and formats. Integrating these various data sources to create a unified view of the customer is a complex task involving technology and understanding customer behavior across different digital and physical channels.
Businesses must link these data fragments to avoid creating a disconnected customer experience. For example, a person may browse products on a mobile app, ask questions through a customer service chat, and eventually purchase in an online marketplace. Traditional data analysis methods often need to recognize these activities as those of a single customer, which can result in missed opportunities to deliver personalized customer experiences across the customer journey.
Identity resolution: The key to a unified customer experience
Connecting online interactions across various platforms is a challenge for brands. Identity resolution enables enterprises to overcome this challenge by stitching together disparate signals and records to orchestrate experiences and analyze outcomes more effectively. By pairing Experian’s identity capabilities with AWS Clean Rooms, enterprises can securely collaborate with their partners to derive deeper insights without exposing sensitive underlying data sets.
This partnership between AWS and Experian enables effective matching between disparate data sets, bolstering privacy-enhanced media planning, insights, data enrichment, media activation, and measurement use cases. Depending on their distinct needs and existing identifiers, customers can use two specific offerings of Experian’s identity resolution solutions paired with AWS Clean Rooms.
Experian’s identity resolution products ensure a frictionless brand experience across various channels, enhancing the customer journey from start to finish. Brands can employ our adaptable identity resolution solutions to forge connections between contextual, behavioral, lifestyle, and purchase-based data sources, assembling comprehensive customer profiles. Use dependable digital data to make informed decisions and elevate consumer engagement. Advanced deterministic and probabilistic features, combined with data science and cutting-edge technology, work hand in hand to mitigate risk and uphold data privacy.
Such recognition enables a more comprehensive understanding of your clientele, fostering trust and amplifying campaign effectiveness by utilizing securely managed, standardized customer data. With this strategic approach, businesses can achieve their objectives regulatory-compliant.
The consumer perspective: Why consistency matters
Data fragmentation can lead to inconsistent experiences for consumers, which can be frustrating and erode brand trust. For instance, imagine receiving a promotional email for a product you already purchased through an app or being targeted for a product you decided against.
Consumers are increasingly tech-savvy and demand a seamless, integrated experience regardless of how they interact with a brand. They want to feel valued and recognized at every touchpoint and don’t care about the complexities of data analytics. As a result, brands face significant pressure to get identity resolution right.
Data security and privacy: A Fort Knox for your data
AWS Clean Rooms empowers their customers to establish a secure data clean room within minutes, facilitating collaboration with any other entity within AWS. This fosters the generation of unique insights regarding advertising campaigns, investment decisions, clinical research, and more. With AWS Clean Rooms, the need to store or maintain a separate copy of data outside the AWS environment for subsequent dispatch to another party for consumer insight analysis, marketing measurement, forecasting, or risk assessment becomes obsolete.
AWS Clean Rooms provides an expansive set of privacy-enhancing controls for clean rooms. This includes query controls, query output restrictions, and query logging that allows customers to tailor restrictions on the queries executed by each clean room participant. Moreover, AWS Clean Rooms include advanced cryptographic computing tools that maintain data encryption—even during query processing—to adhere to stringent data-handling policies. This process employs a client-side encryption tool—an SDK or command line interface (CLI)—that utilizes a shared secret key with other participants in an AWS Clean Rooms collaboration.
With a wealth of expertise in data privacy management, Experian enhances campaign effectiveness and fosters trust by managing standardized customer data securely. By using the identity graph, you can preserve a unique identity for each customer. This strategy enables you to comprehensively understand your clientele and reach your business objectives in a regulatory-compliant manner.
The future of data-driven marketing starts here
AWS customers can use AWS Clean Rooms to establish their own clean rooms in mere minutes, initiating the analysis of their collective data sets without sharing their underlying data with each other. Customers can use the AWS Management Console to choose their collaboration partners, select data sets, and configure participant restrictions. With AWS Clean Rooms, customers can effortlessly collaborate with hundreds of thousands of companies already using AWS without needing to move data out of AWS or upload it to a different platform. When running queries, AWS Clean Rooms accesses data in its original location and applies built-in, adaptable analysis rules to assist customers in maintaining control over their data.
Coupled with Experian’s trusted data privacy management and unique Experian ID, businesses can effectively manage customer data, secure partners’ communication, and achieve regulatory-compliance objectives. This combination allows companies to use data-backed insights to supercharge their marketing initiatives, resulting in more meaningful customer interactions, improved match rates, and business success.
About the authors
Kalyani Koppisetti, Principal Partner Solution Architect, AWS
Kalyani Koppisetti is a technology leader with over 25 years of experience in the Financial Services Industry. In her current role at AWS, Kalyani advises financial services partners on best-practice cloud architecture. Kalyani works closely with internal and external stakeholders to identify industry technical trends, develop strategies, and execute them to help Financial Services Industry partners build innovative solutions and services on AWS. Technical and Solution interests include Cloud Computing, Software-as-a-Service, Artificial Intelligence, Big Data, Storage Virtualization and Data Protection.
Matt Miller, Business Development Principal, AWS
In his role as Business Development Principal at AWS, Matt drives customer and partner adoption for the AWS Clean Rooms service specializing in advertising and marketing industry use cases. Matt believes in the primacy of privacy-enhanced data collaboration and interoperability underpinning data-driven marketing imperatives from customer experience to addressable advertising. Prior to AWS, Matt led strategy and go-to-market efforts for ad technologies, large agencies, and consumer data products purpose-built to inform smarter marketing and deliver better customer experiences.
Tyler Middleton, Sr. Partner Marketing Manager, Experian Marketing Services
Tyler Middleton is the Partner Marketing Lead at Experian. With almost 20 years of strategic marketing experience, Tyler’s focus is on creating marketing strategies that effectively promote the unique value propositions of each of our partners’ brands. Tyler helps our strategic partners communicate their mutual value proposition and find opportunities to stand out in the AdTech industry. Tyler is an alumnus of the Seattle University MBA program and enjoys finding new marketing pathways for our growing partner portfolio.
Latest posts
Every day it seems, mobile device fragmentation increases. With consumers spending their time online across multiple devices – phones, tablets, over-the-top TV devices, gaming consoles, a nascent, yet growing internet-of-things, and a variety of other internet connected devices – the challenge of keeping up with consumers continues to be a daunting one. The industry has, of course, adopted many different identity solutions and cross-device technologies. Perhaps you’ve adopted some of them. Perhaps you feel like they are working. But perhaps you feel you could be doing a better job at connecting the dots. Marketers require solutions that can truly unify identities across channels and devices in order to understand consumer behavior, predict intent, and ultimately reach them with relevant communications. The easier it is to do that, the better. So, consider a couple scenarios and see how well are you doing. Within your core CRM data, are you able to connect your email subscribers to your in-store customers, all without relying on a loyalty program? Can you do this all the way down to an individual level? And are you leveraging this connected identity information to inform future online targeting? This kind of PII-based identity management is foundational to consumer engagement! Next scenario. Are you an app publisher? Or a media platform? Or any other type of organization that has a steady stream of device data? How much do you know about the consumer behind the device? Behavioral information is certainly a step in the right direction. But what about known consumer insights? How deep is the profile of information you’ve built for each device? Does it include both online and offline insights? Done in a compliant manner? There are a myriad of different techniques and approaches available to you to keep up with consumers. If you’re considering implementing a new strategy in the near future, or have questions about your current ones, contact Experian and we can help assess the opportunities available to you.
The Tapad Device Graph™ Complements Freckle’s IoT Capabilities to Extend Scale and Precision of Audience Data New York, NY — December 6, 2017 — Tapad, part of Experian, is the leader in cross-device marketing technology and Freckle IoT, the global leader in multi-touch, offline attribution, today announced they are partnering to provide brands with a holistic and insightful view of their customers, in predefined locations in all global markets. Starting today Freckle IoT will be leveraging the Tapad Device Graph™ to supplement the company’s data set to offer brands more granular attribution data. Consumer’s online behavior is becoming more and more complex, with the average consumer owning three or more devices and 35 percent of consumers converting on a different device from the one on which they started their research. These interactions become even more complicated when considering how online interactions and media impact offline sales. The collaboration between Tapad and Freckle, which combines Freckle IoT’s persistent location data with Tapad’s proprietary cross-device technology, is an important step in empowering brands with the information they need to better understand how digital media, consumed across multiple devices, is impacting offline attribution. Using its opt-in, first-party data, Freckle IoT helps brands measure the effectiveness of their advertising by independently matching media spend to in-store visits. Tapad’s technology extends Freckle’s data-set by allowing brands to access additional deterministic and probabilistic data, at scale and across all devices, to analyze consumer behavior ahead of in-store purchase. “Combining our technology with Tapad’s identity-driven solutions was a natural fit for our business,” said Neil Sweeney, founder and CEO at Freckle IoT. “With our unbiased, agnostic measurement and Tapad’s precise and privacy-safe data set, we knew this partnership would be a strong complement to providing more effective results for the needs of our brand partners.” “Freckle IoT is a valuable partner for Tapad as our cross-channel attribution capabilities continue to expand at global scale,” says Chris Feo, SVP, strategy and global partnership at Tapad. “Marketers today need a tool that can address the online and offline disconnect throughout the consumer journey. Freckle’s IoT innovations combined with the Tapad Device Graph help address this need by providing brands, across multiple verticals, accurate and precise identity-driven data powered by true consumer behavior — online and offline.” For more information about the Tapad Device Graph™, or to request a demonstration, contact us. For more information on Freckle IoT’s measurement offerings, please visit www.freckleiot.com.
London – 24 November, 2017 – Tapad, part of Experian, is the leader in cross-device marketing technology and continues to broaden its reach across EMEA. The business today reported a 20 percent growth in the scope of its regional device graph, a data set used by organisations to map consumers to their devices, enabling better, more personalised cross-device marketing. This news complements Tapad’s recent expansion of its UK team with the hire of experienced solutions engineer, Davide Rosamilia. As the demand for cross-device technology solutions continues to grow around the globe, coupled with the emergence of regulations such as Europe’s General Data Protection Regulation (GDPR), Tapad is committed to offering suppliers the greatest level of insight without compromising consumer privacy. Since Tapad started licensing its proprietary Tapad Device GraphTM just over a year ago, demand for the company’s technology has experienced significant growth. New supply partnerships and proactive data sourcing have also meant an increase in devices across key markets, which contribute to the overall 20 percent growth of the EMEA device graph, including a 44 percent increase in the U.K., 47 percent in France, and 85 percent in Germany. “We’re continuing to invest heavily in growing our regional device graph, allowing us to better meet the needs of EMEA marketers as they strive to reach individuals with greater precision in some of the most tightly regulated marketplaces worldwide,” said Tom Rolph, VP EMEA, Tapad. “This year, we have also welcomed 10 new data suppliers whom we’ve helped to increase cross-device amplification, attribution and audience extension, helping to further set us apart in the marketplace and successfully expand our EMEA presence.” Available around the world, the Device Graph provides access to Tapad’s globally compliant and privacy-safe datasets across EMEA, APAC and the U.S., and offers deeper knowledge of consumer preferences, purchase intent, and conversion behaviors. “Tapad has shown a unique ability to adapt to the nuances of the local EMEA market and display impressive growth without sacrificing dedication to privacy,” said Alistair Hill, CEO and Co-founder at On Device Research. “When we started vetting technology vendors, we needed to be sure that we selected a partner that could offer compliant and privacy-safe datasets to operate within our stringent data standards. Tapad’s probabilistic solution offered us greater scale, greater device reach, and increased engagement without compromising on privacy.” For information more about the Tapad Device Graph™, or to request a demo, contact us today. Get started with us