
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 2013 and beyond, marketers will have to work even harder to gain and maintain position in organic search results. They’ll also need to spend more effectively on paid search ads by knowing how their target customers use search, and by applying insight into their behaviors and attitudes to plan and execute better content and campaigns. Here’s an excerpt on the search landscape from the upcoming 2013 Digital Marketer Report: Five Websites captured 20 percent of all search activity in Q4 2012, while the top 500 captured nearly 50 percent. Expansion to the top 1,000 Websites reached nearly 75 percent, highlighting the challenges for marketers to reach potential customers through search, even for those with a large Web presence. Top five Websites to capture search clicks Websites Domain Q4 2012 – share of search clicks Facebook www.facebook.com 8.48% YouTube www.youtube.com 5.55% Yahoo! www.yahoo.com 2.63% Wikipedia www.wikipedia.org 2.01% Amazon.com www.amazon.com 1.40% Source: Experian Marketing Services’ Hitwise Source: Experian Marketing Services’ Hitwise Even through paid search, the landscape changes very little — the top 10 Websites captured 16 percent of all paid search clicks, and the top 500 captured 56 percent. Top five Websites to capture paid search clicks Websites Domain Q4 2012 – share of paid search clicks Amazon www.amazon.com 4.19% eBay www.ebay.com 3.46% eHow www.ehow.com 2.44% BestBuy www.bestbuy.com 1.06% Yahoo! Shopping shopping.yahoo.com .85% Source: Experian Marketing Services’ Hitwise Source: Experian Marketing Services’ Hitwise Breaking through the clutter is key to reaching customers who are in the market for your product and services. Understanding who your ideal customers are can help to focus your search campaigns on these consumers and see greater campaign effectiveness. For more digital consumer insights, pre-order The 2013 Digital Marketer Report today.

With the New Year upon us, many Americans have turned to the Internet to help with their 2013 resolution of losing weight. According to Experian Marketing Services’ data, the most searched for diet was the “Paleo diet” for the week ending January 5, 2013. Searches for diets are one of the more predictable patterns on the Internet, with the high point always being the first of the year, and the low-point being around Thanksgiving week. Marketers can benefit from this trend by understanding and planning around the seasonality of this interest. Other top 10 searches that contained the term diet for last week included popular diets such as the Atkins diet, Gluten Free diet, and the 8-hour diet. Additional top 2013 diet searches included the Cabbage Soup diet, South Beach diet, Shred diet and the HCG diet. The Paleo diet, Gluten Free diet and Shred diet are all new to the top 10 list. Looking back at the same week in 2012 the Dash diet owned the #1 spot, and in 2011 the HCG diet was #1. The actual top overall search term this past week was Paula Deen diet, as she announced that she lost more than 30 pounds after revealing she had diabetes earlier in 2012. Interestingly enough, the term diabetic diet made the top 10 searches for the second straight year. Other trends we noticed include the continued popularity of low carb diets with the Paleo, Atkins, South Beach diets all taking top place in search term data. We’re also seeing the return of a religion based diet (the Jesus diet was popular in 2010) with the Daniel's diet among the top 20 searches in 2013. Many fad diets pop-up this time year usually with a time period attached – 2-day, 17-day or 3-day diets. So who is doing all the searching? Females accounted for 58% of diet searches this past week and households who earn between $30K-60K a year made up the majority of searches with 33%. The states with highest index of diet searches include: Delaware, North Dakota, Wyoming, Wisconsin and Nebraska. For more insights like this please follow us on twitter @ExperianMKT. Learn more about the author, Matt Tatham

The home stretch for the holidays is nearing as second wind for retailers is just starting as Experian Marketing Services analyzes the post-Christmas retail trend. Christmas Day 2012 saw a 27% increase in online traffic to the top 500 retail sites compared to 2011. The top retail sites received more than 115.5 million total U.S. visits. To date the holiday online traffic for the past 7 weeks to retail sites are up 10% for 2012 vs. 2011. Each retail holiday milestone day saw online traffic increases so far this season. Amazon remained the top visited site among retailers for this past week ending Dec. 22, 2012 and was also the top visited site on Christmas Day. Walmart, Target, BestBuy and Macy’s round out the top 5 most visited sites. The chart below includes the top 10 results: As tablets dominated our weekly top product search lists all holiday season it wasn’t surprising to see that the Apple iTunes site visits increased 193% and Apple.com visits increased 155% on Christmas Day 2012 vs. Christmas Eve 2012. The top product search terms sending traffic to the Apple.com site were iPod Nano, iPad Mini and iPad 4. Amazon.com visits increased 24% on Christmas Day 2012 vs. Christmas Eve 2012 as the top product search terms sending traffic to their site were Amazon Kindle, Kindle Fire and Kindle Also seeing growth were gift card searches as the year-over-year total search volume for "gift card" variations increased 6.1% this year compared to 2011. The big spike in searches happened last week (as online shoppers passed shipping deadlines). Below are the top 10 gift card searches for last week. We will continue to publish retail site data and insights through this holiday season. Please leave us a comment below if you have any specific questions along the way. UPDATE: The top 500 retail sites received more than 129 million total US visits on Dec. 26th, an increase of 1% compared to 2011 and 12% compared to Christmas Day 2012. Amazon was the top site followed by Walmart, Target, BestBuy and Macy’s. JCPenney, QVC and The Home Depot all moved into the top 10 on the day after Christmas. Learn more about the author, Matt Tatham