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
The holiday season is right around the corner and retailers are gearing up for a massive influx of customers, both new visitors and returning loyal patrons. But, organizations need to make sure they’re prepared to handle the influx of business. Data quality should be a priority for retailers at any time of year, but even more so as the holiday season approaches. During this time, it’s important for companies to provide customers with relevant shopping offers. When consumers shop for holiday gifts for their friends and families, they have countless directions to which they can turn. In order to prevail in competition, retailers need to provide customers with relevant offers and messages. Unfortunately, many businesses fall short in this regard. According to recent research from Experian QAS, organizations feel that, on average, 25 percent of their data is inaccurate. Consumers are frantically looking to find deals on products that meet their holiday needs, but loyalty offers may not be reaching consumers. One reason for the difficulty is the messy nature of companies’ customer databases. Retail businesses are working hard to gather as much information as possible about the consumers who patronize them, but all too often, information is riddled with errors. These errors have become more prevalent in recent years due to the proliferation of mobile apps, web interfaces and social media channels. There are so many different channels that companies now interact with people through an average of 3.27 channels. This poor data quality is hurting organizational bottom lines. Experian QAS found that an average of 12 percent of departmental budgets are wasted due to inaccuracies in contact data. During the 2013 holiday season, consumer spending is expected to increase by at least 11 percent. Retailers need to be certain that they improve data quality prior to the holiday season to ensure communications reach consumers and resources are maximized in order to take advantage of the expected increase. Be sure to check out our new data quality infographic.
Experian Marketing Services’ Head of Global Research Bill Tancer appeared recently on Fox Business News to talk about new holiday shopping trends, including why both retailers and consumers are starting the 2013 season earlier this year. “We are seeing the eventual extinction of Black Friday,” says Tancer. “What we see in our data is that retail is really changing. The consumer is relentlessly searching for that deal.” In fact, as Tancer notes, the hyper-connected, digital consumer is already searching for holiday deals. Hear more from Tancer in this clip. Watch the latest video at video.foxbusiness.com Tancer and other Experian Marketing Services data experts will discuss holiday marketing trends at an upcoming webinar; register for more insights and tips.
On some level, collecting data and analyzing it to find meaningful conclusions has always been part of how marketers go about connecting with consumers. Their strategies have improved dramatically over time, though. Perhaps in a previous era, marketing executives were only able to make sweeping generalizations about large swathes of the population. But, as marketers have gathered more data on individual consumers, they’ve found ways to fine-tune their searches. They’re no longer messaging to groups in vague terms. Smart Data Collective recently examined the marketing world’s transition away from broad stereotyping toward better targeted forms of data mining. Josh Brown, a member of the marketing team at business and IT consulting company Iconic Mind, argues that this era of overgeneralization is coming to an end. We now have the capability to zoom in on the specific customer. “Big data is how successful companies are building more detailed models of consumer behavior,” Brown wrote. “Instead of relying on the traditional demographic models that marketers used when we were operating in a mass consumption environment and had nothing better, big data capitalizes on developing market trends to allow businesses to become far more specific when segmenting their customers.” Brown cited Amazon.com as an example. The online superstore is notable for its targeted recommendations of products that shoppers see every time they log on to the site – the advisements are impressive because they’re usually right up the customer’s alley. Amazon doesn’t generate these ideas by making guesses based on whether the consumer is old or young, male or female – instead, the site takes in specific information about people’s buying histories and looks for similar products. This approach is quickly becoming mainstream. It’s not hard to understand why – people don’t like being reduced to profiles of their demographic characteristics. Consumers are expecting more from the companies they do business with. Thanks to the rapidly improving technologies that companies use for data collection, marketers can be more targeted and make more intelligent interactions. However, to take advantage of these new technologies, marketers need to maintain high quality data. Without a data quality strategy, customer information will be spread out across the organization, making it difficult to make intelligent marketing offers. To learn more about improving your understanding of consumers, check-out our infographic on building a single customer view.