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
In the digital age, print coupons are dinosaurs, right? Not one bit. In fact, according to Experian Simmons, users of printed coupons — those obtained from newspapers, magazines, mail, etc.—outnumber users of digital coupons by a margin of almost 3-to-1. As of February 14, 2011 (the latest date for which data was available at the time of this post), 68% of all U.S. adults said their household uses print coupons, a number that has remained relatively unchanged during the past five years. 68% of all U.S. adults said their household uses print coupons, a number that has remained relatively unchanged during the past five years. By comparison, Experian Simmons also reports that 22% of all U.S. adults say their household uses digital coupons obtained from email or the Internet. That figure may be lower than the usage reported for any measured type of print coupon, including those handed out in or near stores, but adoption of digital coupons is growing: in 2005, just 12% of American adults used digital coupons. Smartphones adoption will continue to propel digital coupon use to historic highs in the months and years to come. According to an analysis featured in the 2010 U.S. Household Consumer Trend and Benchmark Report, 34% of U.S. iPhone owners use digital coupons compared with just 21% of non-iPhone owners. Interestingly, use of print coupons among iPhone owners doesn’t suffer a bit. In fact, as of February 14, 2011, 68% of iPhone owners reported that their household used print coupons versus 64% of non-iPhone owners, making it obvious that merchants should give their customers an option of using both print and digital coupons. For further consumer insights, download the 2010 U.S. Household Consumer Trend and Benchmark Report, which includes trends on economic outlook by household income, charitable contributions and planned automobile purchases.
Spiders, Rams, Seminoles, Golden Eagles, and Bulldogs. This is one way to describe the diverse collection of Cinderella teams that have advanced to the Sweet 16 in this year's NCAA men's basketball tournament. Four of these teams, the University of Richmond, Virginia Commonwealth University (VCU), Florida State, and Marquette, take their double-digit seeds to the next round in hopes of reaching the Elite 8. Butler, last year's Cinderella story, is seeking a visit to the Final Four for the second straight year. Interestingly, Richmond, VA is the home market for two of the Sweet 16 teams. These are the University of Richmond and VCU. Even more interesting is the fact that these two teams are on a collision course. With wins in the next round they would meet in the Elite 8 for a prized spot in the Final Four. With their surprise victories in the tournament so far, what these teams have in common is being labeled “bracket busters.” A more extensive market analysis uncovers other similarities, plus some notable differences. Here are highlights from profiles of the home market areas for this year's Cinderella teams using data from Experian's Mosaic consumer lifestyle segmentation system and Experian Simmons market research. The following statistics are based on the home markets of the five Cinderella teams. All four Cinderella teams hail from markets with above average interest in college basketball. Milwaukee, home of 11th seeded Marquette, has the highest concentration of adults who are interested in college basketball (28.1%). This is 11 percent relatively higher than percentage for the total U.S. Milwaukee also has the highest percentage of adults who said they watched last year's men's NCAA Division I tournament (17.3%). This is a relative six percent higher than the total U.S. The 10th seeded Florida State Seminoles hail from Tallahassee, which has the second highest percentage of adults with an interest in college basketball (26.9%). Richmond, where both 11th seeded VCU and 12th seeded Richmond are based, is just behind Tallahassee when it comes to the percentage of adults who are interested in college basketball (26.7%). Indianapolis has the lowest percent of residents who are interested in college basketball (26.3%), but that's still a relative four percent higher than the U.S. as a whole. Although interest should be very high this year, Richmond and Indianapolis (15.8% each) have the lowest percentage of adults who watched last year's tournament. Cinderella Team Market Snapshots Richmond, VA Home market of: Richmond Spiders, VCU Rams Sweet 16 opponents: Kansas, Florida State The top two segments in Richmond representing 30% of the market's households are: Metro Minority Communities (18.1%) comprised of married couples and single-parent minorities earning above average incomes from a mix of service industry and white-collar jobs in transportation, health care, education, and public administration. Urban Commuter Families (11.5%) comprised of upscale, college educated Baby Boomer families and couples living in single detached homes in city neighborhoods on the metropolitan fringe. Other interesting facts: Most over-represented segment is Metro Minority Communities (3.8 times the national average) Percent of adults with interest in college basketball is 26.7% Percent of adults who watched last year's men's college basketball tournament is 15.8% Tallahassee, FL Home market of: Florida State Seminoles Sweet 16 opponent: VCU Rams Similar to Richmond, the top two segments in Tallahassee are Metro Minority Communities (14.8%) and Urban Commuter Families (6.9%). The two segments that account for the next highest share of households are: Struggling City Centers (6.7%) comprised of young, single and single-parent minority renters living in low-income city neighborhoods. Rural Southern Living (6.5%) comprised of lower-income blue-collar couples and families living in sparsely settled mobile home communities. Other interesting facts: Most over-represented market segment is College Town Communities (6.2 times the national average) Percent of adults with interest in college basketball is 26.9% Percent of adults who watched last year's men's college basketball tournament is 16.8% Milwaukee, WI Home market of: Marquette Golden Eagles Sweet 16 opponent: North Carolina Tarheels The top segment in Milwaukee representing 11.2% of households is Urban Commuter Families (as described above). The two segments that account for the next highest share of households are: Small-town Success (10.5%) comprised of white collar, college educated, middle-aged working couples living in newly developed subdivisions outside the nation's beltways. Steadfast Conservative (9.3%) comprised of high-school educated mature singles and couples living in middle-class urban blue-collar neighborhoods. Other interesting facts: Most over-represented market segment is Successful Suburbia (3.6 times the national average) Percent of adults with interest in college basketball is 28.1% Percent of adults who watched last year's men's college basketball tournament is 17.3% Indianapolis, IN Home market of: Butler Bulldogs Sweet 16 opponent: Wisconsin Badgers There are four equal size segments that account for just over 30% of Indianapolis households. These include Steadfast Conservative (8.9%), Urban Commuter Families (7.8%), and Small-town Success (7.1%). All three of these segments are also among the top five in Richmond, Tallahassee, and Milwaukee. What makes Indianapolis unique from the other three markets is a higher percentage of New Suburbia Families (7.2%). These are young, affluent working couples with pre-school children concentrated in fast-growing, metro fringe communities. Other interesting facts: Most over-represented market segment is Successful Suburbia (2.8 times the national average) Percent of adults with interest in college basketball is 26.3% Percent of adults who watched last year's men's college basketball tournament is 15.8%
Tournament play begins this week in the 2011 NCAA Men's Division I Basketball Tournament, which means office productivity is likely to take a hit as fans jump online to watch live streams of games being played during working hours. With online viewing options expanded to mobile and other digital platforms this year, fans have more avenues than ever to get their March Madness fix. In fact, according to a recent estimate by Challenger, Gray & Christmas, total online tournament viewership during work hours is likely to reach 8.4 million hours during this year's tournament. In this latest installment of Experian Marketing Services' continuing March Madness consumer coverage, we'll profile the work life of online game streamers. Is there one down the hall or in the next cube? The answer is almost certainly “yes,” but the “who” may surprise you. According to Experian Simmons, just over 5% of all U.S. adults and nearly a quarter of adult NCAA men's tournament viewers (24%) qualify as likely online game streamers. For the purpose of this analysis, likely online game streamers is defined as those U.S. adults who watched the last NCAA men's basketball tournament who also sought out sports information online or watched online video in the last 30 days. These likely online game streamers must have also visited either cbssports.com or espn.com in the last 30 days. Fully 79% of likely online game streamers are employed either full-or or part-time, with 59% working 40 or more hours a week. Department managers and IT staff-have reason to be concerned about a loss in productivity during March Madness: fully 79% of likely online game streamers are employed either full-or or part-time, with 59% working 40 or more hours a week. Don't be so quick to suspect that colleague who always shows up late and goes home early as a game streamer. A safer bet would be the guy who's always at his desk when you get in and still there when you head out. In fact, one-in-ten adults who work more than 40 hours a week (11%) are likely online game streamers, meaning they're more than twice as likely as the average adult to be checking out the game online. Remote employees who work at home often get a bad rap with office “suits” sometimes assuming their pajama-clad colleagues fall prey to distractions. Actually though, Americans who work from home are no more or less likely to be likely online streamers than those who don't work from home. Likewise, the self-employed are no more or less likely to be online game streamers than laborers who work for “the man.” Interestingly, Experian Simmons found a direct correlation between company size and a worker's chance of being a likely online game streamer. Specifically: Those who work in companies with fewer than 100 employees are 17% less likely than the average American worker to be likely online game streamers. Those who work in companies with between 100 and 499 employees are just two percent less likely than average to be likely streamers while those employed by companies with between 500 and 999 employees are eight percent more likely to be online game streamers. Employees of companies with 1,000 or more employees are the most likely culprits with the group on average being 17% more likely to be likely online game streamers. As such, it's no surprise that Fortune 500 companies are the most at risk of having offices full of online streamers during March Madness. Employees of Fortune 500 companies are fully 66% more likely to be online game streamers than those who Americans employed by a non-Fortune 500 company. Finally, the best insight into whether your office mates are streaming basketball games online instead of working is by looking at their paycheck (not that we encourage that of course). Specifically, as income rises, so does one's chance of being an online game streamer: Employed Americans who personally earn less than $25,000 annually are the least likely to be online game streamers, scoring 50% below average on this metric. Those who earn between $25,000 and $49,999 are only 15% less likely to be game streamers. If you know or suspect that your colleague earns upwards of $50,000 a year, it's a good idea to keep an eye on them for the rest of the month; workers with incomes between $50,000 and $74,999 are 33% more likely than average to be likely game streamers and those who earn between $75,000 and $99,999 are 75% more likely to be likely game streamers. Your colleagues earning $100,000 or more annually are the most likely to be streaming online, with those personally taking home between $100,000 and $149,000 being a whopping 164% more likely than the average employee to be streaming games online. And those earning $150,000 or more annually being fully 176% more likely to be online game streamers. Moreover, one-in-five adults who earn $150,000 a year or more fall into our likely online game streamers segment compared with just 5% of all U.S. adults. The first match-up to be played during the traditional workday tips off at 12:15 EDT on Thursday March 17th when West Virginia takes on the winner of the second round-one play-in game. Armed with this information, you should be able to catch-or join-your office's online game streamers in the act.