Originally appeared on Total Retail
Retail media networks (RMNs) continue to demonstrate how they can be a powerful monetization driver for retailers, creating a win-win-win for everyone involved. Retailers can monetize their valuable first-party data as well as their online and in-store inventory, while customers benefit from timely, relevant content that enhances their shopping experience. At the same time, advertisers can reach highly targeted audiences at critical moments near the point of purchase
Achieving this type of success requires overcoming challenges around fragmented and incomplete first-party data, which can limit a retailer’s ability to organize and use their data effectively. Additionally, many RMNs lack the analytical capacity to generate customer insights, build addressable audiences, and accurately measure success. To realize the full potential of their platforms, RMNs need partners that provide complementary data, strong identity solutions, and the expertise to transform insights into actionable strategies. This allows RMNs to drive winning outcomes for themselves, marketers, and their customers.
Here are the five steps an RMN should consider when selecting the right partner.
1. Build an identity foundation
First, the right partner needs to be able to organize and clean customer data. Given the millions of customer records and data points that a retailer has, RMNs need to make sure their data is highly usable. Whether it is a known customer record or an unknown customer with incomplete data, partners should fill in missing information and connect fragmented customer records to a single profile. For example, RMNs need to know that a purchase made in-store is by the same customer who bought online. The best partners will then organize those profiles into households since targeting (and purchasing) is often done at the household level. Without a strong identity foundation future steps of segmentation, insights, audience creation, and activation will not be successful.
Experian identity
Experian’s identity solutions provide RMNs with a comprehensive and accurate view of their customers across both offline and digital environments. We clean an RMN’s first-party data and organize their customer records into households since targeting is often done at the household level and purchases are made at the household level.
Using Experian’s Offline and Digital Graphs we work with the RMN to fill in the missing information they have on their customers (e.g. name, address, phone number or digital IDs like hashed emails, mobile ad IDs, CTV IDs, Universal IDs like UID2 or ID5 IDs). This ensures that the retailers’ entire customer base can be reached – and measured – across devices and channels.
2. Segment your customers
An RMN’s ability to segment its customer base and derive insights depends on the availability and usability of their data assets – not to mention some serious analytical chops. Some RMNs will split their customers into different product segments based on what’s relevant to an advertiser. For example, a home improvement retailer may segment customers by who is buying DIY supplies versus improvement services. Other RMNs may develop custom segments from their customer data and third-party data sources, so that advertisers can personalize their marketing based on life stage, age, income level, geography, and other factors. Either approach is effective but requires working with a partner who has high quality data and deep analytical expertise to develop those segments.
Segment with Experian
Experian Marketing Data helps an RMN learn about their customer beyond their first-party data. With access to 5,000 marketing attributes, RMNs can fill in the holes in their understanding of a customer. We provide them with demographic, geographic, finance, home purchase, interests and behaviors, lifestyle, auto data and more. RMNs can use this enriched data set to create addressable audience segments.
3. Generate actionable insights about these segments
Once the RMN determines how they will segment their customers, they can utilize demographic, attitudinal, interest, and behavioral data from a trusted partner to develop a customer profile that compares its customers against a relevant sample of consumers. Here, the RMN will gain insight that will help them answer questions about its customers. Examples include:
- What age and income groups are more likely to purchase my product?
- What is the current life stage of my customers – do they have children, are they married, are they empty-nesters?
- Is price or quality more important to customers in their decision-making process?
- What sort of activities do my customers enjoy?
- How frequently do my customers shop for similar merchandise?
- What media channels do my customers use to get their information?
Expanded insights with Experian
With Experian’s advanced customer profiling, RMNs can go beyond basic customer segmentation. We build detailed customer profiles by utilizing accurate, attribute-rich consumer data, so RMNs can gain a more comprehensive understanding of their customer’s preferences, life stages, and purchasing behaviors. Having this insight enables the RMN to:
- Design a targeted email campaign promoting home essentials to recently married new homeowners.
- Develop a social media post announcing the opening of a new hardware store to users within a specific location interested in do-it-yourself products.
- Create brochures and flyers at a local community event tailored towards parents with small children that promote equipment for youth sports leagues.
4. Create high quality lookalike audiences
The RMN now knows what distinguishes their customers from other consumers and can create audiences that enable advertisers to run personalized marketing campaigns at scale. RMNs can do this in several different ways:
- Work with a data provider who can create custom audiences for the RMN (e.g., Ages 40-49 and Leisure Travelers and past purchase of travel item)
These custom audiences are created by joining multiple first- and third-party data attributes found to be significant in the customer profile or using machine learning techniques to develop a custom audience unique to the advertiser.
Custom audiences with Experian
With an enriched understanding of their customers, RMNs can create addressable custom audience segments, including lookalike audiences, for advertisers.
5. Expand addressability of audiences and activate on multiple destinations
Once audiences are created, RMNs will want to increase a marketer’s reach across on-site and off-site channels. With the right identity graph partner, an RMN can add digital identifiers to customer records that enable activation across media channels, including programmatic display, connected television (CTV), or social. RMNs should work with identity providers that are not reliant on third-party cookies. They should select partners that offer more stable digital IDs in their graph like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and universal IDs like Unified I.D. 2.0 (UID2).
Experian powers data-driven advertising through connectivity
Using Experian’s Digital Graph, RMNs expand the addressability of their audiences by assigning digital identifiers to customer records. Marketers will be able to reach an RMNs customers onsite as well as offsite since Experian provides several addressable IDs.
Audiences can be activated across an RMNs owned and operated platform as well as extended programmatically to TV and the open web through Experian’s integrations across the ecosystem.
Maximize your RMN’s revenue potential with Experian
Organizing customer data, segmenting customers, generating insights, creating addressable audiences, and activating campaigns are all critical steps for an RMN to realize that revenue potential. RMNs should select a partner that provides the data, identity, and analytical resources to create the winning formula for marketers, customers, and retailers.
Experian’s data and identity solutions are designed to help RMNs maximize their revenue potential.
Reach out to our team to discover how we can support your path to RMN success.
Latest posts
In our upcoming 2011 Digital Marketer Report, we will cover what influences purchase decisions. While you'll have to wait to read the report to see the entire list, when ranking influencers to purchase decisions: 54% of U.S. adults identified old-fashioned Word of Mouth (WOM), while information from webpages (47%) ranked second and online consumer reviews (31%) ranked as the third most important. It's nearly impossible to measure old-fashioned WOM, and “Information from a website” is a very broad category. Gauging the uptake in online consumer reviews is another story, however. Visits to online review pure-play Yelp.com is a good proxy for the uptake in online reviews in the service sector (restaurants, dry cleaners and dentists to name a few). Over the past two years, visits to Yelp.com have increased over 136%. Given such impressive and steady growth since 2009, you might assume that Yelp and other sites like it have become ubiquitous. Your assumption, however, would be incorrect. While age demographics of visitors to the site show that use of the online consumer reviews has reached maturity (Internet users over the age of 55 make up the largest age bin at 25%), geo-demographics, or visits by DMA, tell a completely different story. The top five cities by representation; San Francisco, San Diego, Monterey, Los Angeles and Sacramento reveal the first skew, that Yelp.com visitors favor the West Coast, where the company was founded. So it seems that, by percentage, the largest U.S. cities also figure significant. When looking at visitors to the site by Mosaic™ segments, Americas Wealthiest, Young Cosmopolitans and other affluent types figure heavily in the site's traffic. Taken all together, the numbers reveal that while Yelp.com continues to grow, its participants continue to be a very distinct subset of U.S. Internet users. This niche set of users might explain why traditional WOM continues to show more significance in influencing purchase decisions. Want to learn more about other purchase decision influencers? Click here to request a copy of Experian Marketing Services highly-anticipated 2011 Digital Marketer Report, launching in late March. The report features an editorial by Bill Tancer as well as unreleased data spanning email, social, mobile, search and more.
College basketball mania is here. First round NCAA tournament action tips off this week leading up to the Final Four in Houston and Indianapolis for the men and women respectively. With March Madness just around the corner, Experian Marketing Services' data team started to wonder — how do TV viewers of the men's tournament differ from viewers of the women's tournament? The women's game has come a long way since the first women's collegiate basketball championship in 1972. This will be the ninth year that all 63 games of the tournament are televised nationally. Looking back to 1982 when the finals were contested in Norfolk, Virginia, only 37 media credentials were issued. This has increased 14 fold when compared to the 530 media credentials issued in San Antonio last year. The men's game is as popular as ever drawing impressive TV ratings, especially during tournament time. Remember Butler's drive to the Final Four last year and their near upset of Duke? CBS reported that 48 million viewers watched at least some of the championship game. According to viewership data from Experian Simmons, men's tournament viewers outnumbered women's tournament viewers by a ratio of 3.7 to 1. That's nearly four men's tournament viewers for every viewer of the women's tournament. So who might be watching this year? Using Experian's Mosaic consumer lifestyle segmentation system combined with last year's tournament viewership data from Experian Simmons, we took a closer look. Men's Tournament Viewers Rise Above The Rim On Affluence The men's tournament draws a significant share of viewers from affluent households. Nearly half of viewers have household income of $75,000 or over. The ten most affluent Mosaic segments have an over-representation of men's tournament viewers compared to their corresponding share of U.S. adults. This includes Dream Weavers (well-off families with school age children, living an affluent suburban version of the American Dream), Enterprising Couples (married couples with children and childless duos living in upper-middle-class commuter communities), and New Suburbia Families (young, affluent working couples with pre-school children concentrated in fast-growing, metro fringe communities). Nearly half of the men's tournament TV viewers have household income of $75,000 or over. True to its name, the Dream Weavers segment is a college basketball advertiser's dream for home electronics, home furnishings, home improvement and home office supplies. All of these home-centered categories are near and dear to Dream Weaver householders many of whom will be following the men's tournament very closely in a variety of media formats including online, in HDTV, and on their smart phones. Brands and retail stores that have particular appeal to Dream Weavers include Nordstrom, Ralph Lauren, Nike, Eddie Bauer, Sephora, Dick's Sporting Goods and Banana Republic. But that's not to say that only affluent consumers are watching the men's tournament. Other segments with an above average concentration of men's tournament viewers include African-American Neighborhoods, Minority Metro Communities, America's Farmlands, and Young Cosmopolitans. Men's tournament viewers participate in a wide range of leisure and sport's activities (most notably golfing, football, softball, racquet sports, and weight training), have a preference for driving Cadillac, Acura, and Lexus automobiles, and have a high concentration of readers of such magazine titles as Golf Digest, Sports Illustrated, ESPN The Magazine, Barron's, and Black Enterprise. Women's Tournament Delivers Younger, More Ethnically Diverse Audience The audience for the women's tournament is decidedly different from the men's. About six out of every ten viewers have household income below $75,000. Mosaic segments with the greatest over-representation of women's tournament viewers include Struggling City Centers (young, single and single-parent minority renters living in low-income city neighborhoods throughout the South) and Minority Metro Communities (married couples and single-parent minorities with above-average incomes working in a mix of service industry and white-collar jobs). These two segments alone account for nearly 20% of the women's tournament viewing audience and contain about 2.5 times the concentration of viewers relative to their corresponding share of U.S. adults. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Using Minority Metro Communities as an example, brands and retail stores that have particular appeal to this group and to the broader women's tournament audience overall include 7-Eleven, Ace Hardware, Hallmark, Sam's Club, Kmart, Dollar General, Big Lots, and Marshall's. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Only four of the ten most affluent Mosaic segments have an over-representation of women's tournament viewers. When comparing a segment's share of the overall women's tournament viewing audience to its corresponding share of the men's tournament viewing audience, three of these four segments account for a higher share of women's viewers. These are America's Wealthiest, White Collar Suburbia, and Affluent Urban Professionals. Advertisers will be pleased to know that interest in the tournament from these segments helps lift the viewing audience into a higher income demographic. Using White Collar Suburbia as an example, retail stores that have particular appeal to this segment of the population include Brooks Brothers, Costco, Gap, J. Crew, Kohl's, Lord & Taylor, and Victoria's Secret. Other segments that contain a significantly higher share of women's viewers compared to men include Small-city Endeavors (a mix of lower income singles, families, and single parents living in older homes and small apartments in working class towns) and Professional Urbanites (upper-middle-class empty nesting couples and older singles in metropolitan areas). Men’s Tournament Viewers Compared to Women’s Tournament Viewers Men’s Tournament Top Ten Most Affluent Mosaic Segments Women’s Tournament America’s Wealthiest Dream Weavers White Collar Suburbia Upscale Suburbanites Enterprising Couples Small-town Success New Suburbia Families Status-conscious Consumers Affluent Urban Professionals Urban Commuter Families = Index of 100 to 125 = Index of 126 to 150 = Index above 150 The index shows the concentration of viewers for the men's and women's tournament for a segment compared to the segment's share of U.S. adults. For example, an index above 150 means that adults from the segment are 50% more likely to watch the tournament compared to U.S. adults overall.
Along with death and taxes, the third certainty as an online marketer is change. When we combine the rapid rate of online innovation with consumers' relentless pursuit of finding the best possible price, a pursuit that kicks into overdrive with economic uncertainty, it's critical to anticipate changes in consumer behavior and the adoption of new buying modalities. Here are three things that you should know about the group coupon phenomenon. By now, most of us are aware of Groupon, the privately held Chicago group couponing-company that rejected Google's $6 billion dollar acquisition offer in late 2010. Since it's founding in 2009, Groupon has grown to over 5 million visits per week to take the #25 spot in the Experian Hitwise Shopping & Classifieds category1 for the week ending January 29, 2011. But is Groupon, or more generally the category of online group buying, a fad or a significant change in the way we buy online? Here are three things that you should know about the group coupon phenomenon. Group Buying Has Reached Mainstream Adoption If you think that this new social buying trend is fueled by early adopters of technology, the young and hip technocrats, you may have been correct in January 2010. Today, you would be completely off the mark. According to Experian Hitwise for the four weeks ending January 29, 2011, the largest age-bin for visitors to Groupon.com are those Internet users over the age of 55 (37.5%). There is Applicability to Local and National Retailers While group coupons were heralded as the perfect solution for local online commerce, successful deals with national retailers (both bricks-and-mortar such as GAP and online pure-plays like Amazon.com) indicate that this movement will take its place alongside email and search as a key channel for marketers to consider. On January 19, 2011, LivingSocial.com, a Groupon competitor, offered a $20 Amazon credit for $10 (it should be noted that Amazon invested $175 million in LivingSocial.com). According to PC Magazine, over 1.3 million certificates were sold at a rate of over 100,000 per hour. The Race to Dominate the Space is Heating Up LivingSocial's Amazon play did more than just put up impressive numbers; it was a clear sign that the site is a viable threat to category leader, Groupon. According to Groupon CEO Andrew Mason, Groupon has over 500 competitors in the marketplace and growing. Have you considered group buying for your business? Along with anticipating this trend, with the growing number of competitors and offers you should think one step ahead – will consumers succumb to daily deal fatigue? Want to learn more about digital marketing in 2011? Click here to request a copy of Experian Marketing Services highly-anticipated 2011 Digital Marketer Report, launching in late March. The report features an editorial by Bill Tancer as well as unreleased data spanning email, social, mobile, search and more. ——— 1 Shopping and Classifieds Category: 28,586 top sites that specialize in online shopping, auctions and classifieds