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
Two storied franchises will collide in this year’s Super Bowl, the Green Bay Packers and the Pittsburgh Steelers. Sports fans from both markets are huge supporters of their football teams, but a look into their behavior and attitudes reveals passions beyond a one-dimensional Cheesehead or Towel Twirler. Considering the vast preferences, marketers recognize the need to define characteristics that truly distinguish their target audience. To provide those insights, we conducted a detailed market analysis using a wide variety of data sources including research information from Experian Simmons, Hitwise, and the Mosaic Consumer Lifestyle segmentation solution, which defines the predominant household types for each area (as featured in yesterday’s post: Cheeseheads vs. Terrible Towels). Today, we delve further into the hearts and houses of Green Bay and Pittsburgh area residents. GREEN BAY FANS PACK THEM IN FOR TAILGATING Green Bay area residents are more passionate about tailgating compared to their rivals in Pittsburgh. Among those who identify themselves as NFL football fans, Green Bay fans are 1.45 times more likely than Pittsburgh fans to have participated in a tailgate party within the past 12 months. They are also better equipped to tailgate due to a higher ownership rate for midsize SUVs, and both light duty and full size pickups (Road & Track magazine top-rated picks for tailgating), compared to Pittsburgh fans. STELLA AND STEELERS GO TOGETHER With every tailgate comes a beverage of choice, and in today’s analysis we’ve found that Bud Light and Budweiser are the light/low calorie and regular domestic brands of beer favored the most by both Green Bay and Pittsburgh fans. However, Pittsburgh fans are 1.56 times more likely than Green Bay fans to down a few of premium brand, Stella Artois. Notably, along with its best selling brands, Anheuser-Busch plans to devote a portion of its multi-million dollar ad spend to this Belgian import. FANTASIZING ABOUT FOOTBALL While all that tailgating is going on, Green Bay fans might also be boasting about their latest fantasy sports selections. They are 1.34 times more likely to say that they participate in a fantasy sports league compared to Pittsburgh fans. That’s not to say that Pittsburgh fans don’t enjoy their fantasy sports, indexing above the national average for visiting fantasy sports and football websites. PLAYING IN THE GREAT OUTDOORS Packers and Steelers fans enjoy being out in the elements, so chances are you’ll probably never see a dome over either Lambeau or Heinz Field. The most popular Green Bay football fan activities, with a higher participation rate compared to Pittsburgh fans, are: golfing, camping, state fairs, hunting, power boating and motorcycling. In the Pittsburgh area, with its impressive network of recreational trails, residents are 1.23 times more likely to in-line/roller skate and are 1.36 times more likely to play hockey, compared to Green Bay. Off land analysis shows that despite Green Bay residents’ close proximity to Lake Michigan and a multitude of water sport opportunities, Pittsburgh fans are more likely to spend time on the water, namely: canoeing, kayaking, sailing, and fly fishing. THROWING DEEP VERSUS HANDING OFF Each year Super Bowl advertisers try to reach their audiences across broadly defined demographics with little ability to measure the direct impact of their super-sized investments. It’s the equivalent of throwing a “Hail Mary” and hoping the receiver will leap above the clutter of defenders and catch the ball. Direct marketers, however, are using the behavioral and attitudinal data we’ve shared here to deliver their messages to a precisely targeted sub-audience. For marketers who want to be relevant and target accurately, this capability is the playmaker that scores a game winning touchdown every time. Click here for the full article Blog post author: Bill Schneider, VP, Experian Marketing Services. We’d love to hear your stories and how you’ve used lifestyle data. Please leave your comments or feedback below.
According to weekly trend data from Experian Simmons DataStreamSM, the number of U.S. adults paying a monthly visit to microblogging site Twitter.com has fallen during the past year by 14%. As of November 29, 2010, 8.25 million adults had made at least one visit to Twitter.com during the previous 30 days, down from 9.54 million adults who had visited the site in the 30 days prior to November 30, 2009. Does this mean the ultimate “fail whale” is lurking just over the horizon for Twitter? Not just yet. Among those who visit Twitter.com, Simmons DataStream shows that the average number of visits per month rose a relative 37% in the last year. Twitter.com visits in late November 2010, in fact, reached an average of 10.0 visits per month, up from just 7.3 visits per month the year prior. As visit frequency increased, however, the duration of the average Twitter.com session declined, suggesting visitors today are seeking more frequent quick hits, rather than spending longer periods of time reading through posts. According to Experian Hitwise, the average amount of time Twitter.com visitors spend on the site during a typical session fell to 13 minutes, 12 seconds on November 27, 2010, down from an average of 15 minutes, 12 seconds spent on the site each session on November 28, 2009. That said, Americans are still spending more time on Twitter.com than ever before. According to Experian Simmons estimates, Americans spent an estimated 2 hours and 12 minutes tweeting and reading tweets on Twitter.com in November 2010, up from 1 hour and 51 minutes spent on the site during November 2009. Swim on, fail whale, swim on. To tweet this blog post, click on the green “retweet” button at the top of this item. For more information on Simmons DataStream weekly reporting of nearly 40,000 consumer variables, visit our website.
As we ring in the New Year this week, Americans will be tossing back a few adult beverages in celebration. While alcohol consumption certainly increases around holidays and other times of celebration, many Americans imbibe year-round. So where across this great land of ours are you most likely to find adults willing and able to raise a glass (or two) and where are you most likely to be surrounded by teetotalers? Experian Simmons has the answer. Leveraging data from our SimmonsLOCAL study, we examined the drinking patterns of adults of legal drinking age in the 106 Designated Market Areas (DMAs) with populations of at least 500,000 adults age 21 and older. We then ranked those markets by the number of alcoholic beverages consumed by the average adult during a typical month. The chart below lists the DMAs that consume the most alcoholic beverages per capita in a typical month. First place goes to Boston, where the average adult of legal drinking age regularly kicks back 14.4 drinks a month. (Celebrations in Beantown are probably already underway.) Rank DMA Average drinks per month 1 Boston 14.4 2 Austin 13.8 3 Providence-New Bedford 13.4 4 Madison 13.2 4 Hartford & New Haven 13.2 6 Philadelphia 13.1 7 Chicago 13 8 Denver 12.9 9 Tallahassee-Thomasville 12.8 9 Milwaukee 12.8 11 Minneapolis-St. Paul 12.6 11 West Palm Beach-Ft. Pierce 12.6 11 Seattle-Tacoma 12.6 11 Tucson (Sierra Vista) 12.6 15 Green Bay-Appleton 12.5 16 San Diego 12.4 16 Baltimore 12.4 16 Washington, DC 12.4 16 Albany-Schenectady-Troy 12.4 20 New Orleans 12.3 20 St. Louis 12.3 20 Colorado Springs-Pueblo 12.3 23 Burlington-Plattsburgh 12.2 23 Syracuse 12.2 23 Norfolk-Portsmouth-Newport News 12.2 23 Spokane 12.2 23 Portland-Auburn 12.2 Source: Experian Simmons Adult residents of the markets listed below surely know how to have a good time-it's just unlikely to include a cocktail. The chart below lists the DMAs that consume the fewest alcoholic beverages per capita in a typical month. Residents of Chattanooga consume only 6 alcoholic beverages per month, on average, making it the least imbibing market-and probably the one that feels the best the morning after a big gathering. Rank DMA Average drinks per month 106 Chattanooga 6 105 Salt Lake City 7.2 105 Florence-Myrtle Beach 7.2 105 Charleston-Huntington 7.2 105 Tri-Cities, TN-VA 7.2 101 Knoxville 7.4 100 Lexington 7.9 99 Birmingham 8 98 Huntsville-Decatur 8.5 97 Nashville 8.9 97 Evansville 8.9 95 Paducah-Cape Girardeau-Harrisburg-Mt Vernon 9.1 94 Springfield, MO 9.2 94 Tulsa 9.2 94 Greenville-New Bern-Washington 9.2 91 Memphis 9.3 90 Greenville-Spartanburg-Asheville-Anderson 9.4 90 Jackson, MS 9.4 90 Wichita-Hutchinson Plus 9.4 86 Little Rock-Pine Bluff 9.5 86 Louisville 9.5 86 Ft. Smith-Fayetteville-Springdale-Rogers 9.5 83 Fresno-Visalia 9.6 82 Greensboro-High Point-Winston Salem 9.7 82 Roanoke-Lynchburg 9.7 Source: Experian Simmons For more information on SimmonsLOCAL's vivid reporting of consumer behaviors, attitudes, lifestyles and media consumption in 209 Designated Market Areas down to the ZIP code level, visit our website.