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
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.