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Retail media is quickly outpacing other areas of digital advertising and is projected to grow 29% by 2025. Despite this trajectory, retail media is still relatively new compared to traditional digital media and operates like a startup in terms of tech capabilities. Sustained growth will require retail media standardization — creating consistent ways to measure and compare ad performance across retail media networks (RMNs). This standardization will be key for RMNs wanting to understand what’s driving the most value and sales for their business.
In an Interactive Advertising Bureau (IAB) study, 62% of ad buyers pointed to standardization as a top growth challenge. The current ecosystem’s inconsistent standards have prevented effective investment in measurement and limited ad buyer participation. Standardization will be necessary moving forward for effective adoption and trust in these new channels.
This article explores the challenges marketers face without retail media standardization and the collaborative efforts needed to establish consistent measurement standards across the industry.
How much standardization currently exists?
Retail media standardization is limited industry-wide, with each RMN using its own metrics and definitions; what one network calls a “conversion” might be defined differently by another. Some retail companies also sell ad space within siloed, walled-garden shopping environments, which makes it difficult for advertisers to compare performance across platforms. As a result, the current landscape lends itself to inconsistency, campaign measurement complications, and an unclear view of return on investment (ROI) across RMNs.
This fragmentation stems from how retailers have historically developed and managed customer data platforms and e-commerce websites independently, causing disparities in the types and quality of customer data available and the technologies used to manage it. Each retailer uses a unique technology stack and customer experience strategies, which means data is collected, utilized, and integrated into advertising platforms differently.
Why is standardization important?
A 2023 State of Retail Media Survey highlighted the industry’s lack of standardization as a significant obstacle to growth. The Association of National Advertisers also found that advertisers can’t fully take advantage of their retail media investments because of inconsistent measurement practices. Standardized retail media measurement practices are critical for growth. By setting consistent measurement standards across different platforms, it becomes easier for various players to:
- Assess how ads are performing
- See which strategies work across RMNs
- Optimize ad spending
- Make informed decisions
- Extract more value from advertising budgets
Ultimately, standardized metrics are a must for improving transparency, strategic effectiveness, and ROI.
Who is promoting standardization?
We’re seeing a collective push for retail media standardization by several industry stakeholders wanting a more cohesive and effective advertising ecosystem. One of the most recent efforts came from the IAB and the Media Rating Council (MRC). These organizations collaborated with brands, agencies, and RMNs to develop new guidelines for standardized measurement practices and have given the ecosystem a proposed common language for retail media measurement.
These guidelines were released in January 2024 to provide a consistent framework for the following across retail media platforms:
- Audience measurement
- Reporting
- Incrementality
- Transparency
- Viewability
- Ad delivery
- In-store advertising
Microsoft Retail Media, an early adopter of the framework, has experienced greater data transparency, accuracy, privacy, and security, which has benefited advertisers and retailers and advanced Microsoft’s position as a retail media industry leader. Widespread adoption of these guidelines has the potential to drive innovation, attract more advertisers, strengthen collaboration, grow the industry, and improve the consumer experience.
The benefits of industry standardization
A standardized retail media framework for performance measurement can benefit advertisers, retailers, media agencies, and other stakeholders in the ecosystem. Here are some ways each entity stands to benefit.
Benefits for retailers
Standardization makes it easier for retailers to demonstrate their credibility and the value of their retail media program. With uniform measurement across channels and campaigns, they can provide clear, comparable data that reflects their impact, builds trust, and encourages advertiser investment. Better campaign management efficiency also reduces the operational burden, so retailers can focus on improving customer experiences and driving sales.
Experian’s Activity Feed helps you measure performance — and understand how ads impact shopping behavior — by providing you with ad exposures in one environment (web or connected TV) that you can connect to an action in another (in-store purchase). Learn more about Activity Feed and see it in action here.
Benefits for media agencies and marketers
With standardized metrics, advertisers and media agencies have an easy, reliable way to compare metrics and assess the effectiveness of various campaigns across RMNs. This “apples to apples” comparison helps them determine which channels are truly driving better ROI so they can effectively optimize spending.
Standardization also improves collaboration with retailers and leads to more effective campaigns. Consistent guidelines can help teams create, carry out, and optimize retail media strategies and easily compare platform effectiveness.
Benefits for industry stakeholders
Industry stakeholders like technology providers and regulatory bodies can greatly benefit from standardized retail media measurement practices. Consistent measurement provides a common framework that improves transparency and trust among parties. With reliable and comparable metrics, standardization helps everyone speak the same language when it comes to performance evaluation and decision-making. This uniformity facilitates smoother interactions and partnerships between the buy and sell sides, so it’s easier to negotiate and collaborate.
Strategies for implementing retail media standardization
Standardizing measurement will require industry-wide coordination around several strategies, as outlined in best practices frameworks from standardization proponents like IAB/MRC and the Albertson’s Media Collective.
Unify reporting and performance measurement
To address the lack of standardization in performance metrics, RMNs must adopt uniform definitions and calculation methodologies for key metrics. Unified reporting in retail media requires successful stakeholder collaboration to:
- Agree on critical KPIs and reporting metrics like impressions and conversion rates
- Adopt standardized data formats and reporting tools
- Educate stakeholders
- Ensure data quality and compliance
- Continuously improve based on industry feedback
The IAB/MRC framework provides a basis for standardizing metrics for media delivery and engagement, as well as sales and conversions. This consistency helps advertisers compare performance across platforms effectively, enhancing transparency and decision-making.
Standardize product specifications
It’s important for advertisers to have consistent product specifications, as it makes it easier to create and deploy ads across multiple RMNs. To achieve this, RMNs should align ad formats, file sizes, animations, and video specifications with IAB guidelines. Following these standards will help RMNs eliminate compatibility issues, simplify adoption, and save time and resources. It’s also vital for RMNs to maintain flexibility for unique ad formats in order to encourage innovation while still benefiting from standardized specifications.
Introduce third-party verification and disclose capabilities
Introducing third-party verification for ad placement, fraud detection, brand safety, and competitive separation can improve an RMN’s credibility and transparency. By disclosing the third-party providers used and the types of verification offered, RMNs build trust with advertisers and give them the confidence they need to invest.
Additionally, RMNs should disclose their staffing, processes, technology, inventory management, targeting, creative management, and self-service offerings. Transparency in these areas helps advertisers make informed decisions, optimize ad buys, and increase efficiency. Using existing IAB verification and capability disclosure guidelines ensures reliability and a more trustworthy, efficient advertising environment.
Future retail media standardization trends
The future of retail media is poised for significant growth, especially as standardization guidelines are widely adopted and implemented. Here are some trends we expect to see as retail media ad spending grows.
Widespread RMN adoption and spending
Standardization could spur greater RMN spending and drive broad adoption by advertisers who hesitated before due to concerns about metrics and performance comparability.
New partnerships and collaborations
Standardization may lead to new partnerships that weren’t possible before:
- Brands and retailers might team up to blend advertising and sales data for better-targeted campaigns.
- AdTech companies could also partner with multiple retailers to offer unified advertising solutions.
- Retail media networks and analytics firms could collaborate to provide deep insights into consumer behavior and campaign performance.
- Partnerships among retailers, including smaller ones seeking retail media measurement uniformity, may drive further standardization and create new advertising opportunities across product categories with audience overlap.
Ad format innovation
Agreeing on common standards simplifies how ads are measured and understood. Standardization may drive down costs and free up space for more imaginative, engaging ads in the future. For instance, the IAB/MRC’s common language is helping to promote consistency and clarity and fuel innovation across the board.
Incrementality focus
As standardization becomes more widespread, there may be a growing trend toward incrementality measurement, which measures the additional impact of advertising campaigns compared to what would have happened without them. Standardized metrics can help advertisers accurately gauge and optimize campaign effectiveness and maximize their marketing investments.
Growth of cross-platform ad targeting
Standardization may drive the growth of cross-platform ad targeting. With consistent metrics and measurement standards, advertisers will be able to track and compare their ad performance across platforms more accurately. This unified approach will improve ad targeting precision and ensure a consistent impact across RMNs.
Commerce media
Commerce media is changing retail advertising with its focus on verified data and real-time transaction insights, making campaigns more efficient. This shift could push for more uniform measurement standards across platforms and level the playing field. As commerce media gains traction, its emphasis on targeted advertising and ROI measurement might pave the way for universal metrics and clearer guidelines across retail networks.
Where does this leave modern advertisers?
Retail media is still at a crossroads. If standardization doesn’t occur soon, its growth may slow. For now, advertisers are resorting to custom strategies or relying on whichever network they feel is most effective for their products. They are likely to continue investing significantly in retail media, maintaining or increasing spending in the next year.
Although RMNs continue to be challenging without formally recognized standardization guidelines, the proposed IAB/MRC guidelines provide an effective starting point.
Join forces with a strategic RMN partner
RMN success requires overcoming complicated technical hurdles that may exceed non-media business capacities. Managing data complexities, resolving identities, utilizing audience insights, and ensuring precise measurement requires specialized expertise and technologies.
We recently announced a solution tailored for RMNs. This offering enhances RMNs’ strength in first-party shopper data by using Experian’s #1 ranked identity and audience services. Our solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue.
If your organization could benefit from a partner with the requisite technological tools and insights into the retail media landscape, contact us to discover how we can help you achieve RMN success.
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Published in AdExchanger. “Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Tom Manvydas, vice president of advertising strategy and solutions at Experian Marketing Services. The proliferation of connected electronics has spurred new interest in device-recognition technologies even though they have been in use since the 1990s. As we enter the “Internet of Things” era, device recognition will significantly impact the ad tech ecosystem. Many network advertising technologies are becoming obsolete as cookie blocking grows and the Internet becomes more mobile and device-centric. Device recognition will be yet another technology challenge for marketers but has the potential to overcome many key tracking, measurement and privacy issues with which data-driven marketers have struggled. By leveraging device recognition technologies, marketers can protect their investments in Web 2.0 ad tech, like multitouch attribution, and improve their overall digital marketing programs. Device Recognition Vs. Cookies Device recognition attempts to assign uniqueness to connected devices. By focusing on the device, you are able to “bridge” between browsers and apps, desktop to mobile and across OS platforms like iOS and Android. Device-recognition IDs function like desktop cookies for devices but with four important differences: 1. Coverage: Device-recognition methods are largely immune from cookie limitations. About half of mobile engagements on the Web do not involve cookies, while third-party blocking impacts up to 40% of desktop engagements. 2. Persistency: Device-recognition IDs can be more persistent and less fragmented than most desktop cookies. For example, Apple’s UDID or Android ID are permanent, and network node IDs like MAC addresses are near-permanent. Proxy IDs such as IDFA are persistent but can be updated by the device owner or ID provider. 3. Uniqueness: Devices are unique and cookies are fragmented. The digital media industry incurs substantial overhead cost and loss of efficiency when dealing with fragmented profiles and obsolete data caused by cookie churn. However, device-recognition methods are limited in their ability to recognize multiple profiles on shared devices. 4. Universality: Device-recognition technologies are universal and generally work across devices and networks. However, interoperability issues across device operating systems, such as iOS and Android, can limit the universal concept. There are many types of device-recognition technologies but two basic approaches to device recognition: deterministic and probabilistic, each with their pros and cons. Deterministic Approach: Accurate And Persistent But Complicated Deterministic device recognition primarily uses the collection of various IDs. While the mobile developer is familiar with the variety of IDs, it’s important that marketers become better-versed in this area. Examples include hardware IDs (including serial numbers), software-based device IDs (such as Apple’s UDID or the Android ID), digital data packet postal codes or proxy IDs (such as MAC addresses for WiFi or Bluetooth, IDFA for both iOS and Android and open-source IDs). Deterministic methods improve the accuracy of tracking, targeting and measurement over current cookie-based methods. They can improve the ability to more persistently manage consumer opt-outs. But the proliferation of device types limits the universality of deterministic device recognition. Without uniform standards across platforms, marketers need to account for multiple ID types. Also, deterministic device-recognition methods are not well developed for desktop marketing applications. The lack of interoperability across deterministic device IDs makes execution too complicated. Deterministic device IDs were meant for well-intentioned uses, such as tracking the carrier billing for a device. However, they present privacy and data rights challenges, leading to blocking or limited access by companies that control IDs. Probabilistic Device Recognition: A ‘Goldilocks’ Solution Probabilistic device recognition may be the ideal solution for a connected world that does not rely on cookies nor wants to use overly intrusive deterministic device recognition. Probabilistic device recognition is not a replacement for deterministic IDs. Instead, it complements their function and provides coverage when they are not available. The probabilistic approach is based on a statistical probability of uniqueness for any single device profile. This approach creates a unique profile based on a large number of common parameters, such as screen resolution, device type and operating system. This process can uniquely identify a device profile with 60% to 90% accuracy, compared to 20% to 85% accuracy for cookie-based identification methods. Probabilistic IDs are more persistent than cookies with better coverage, but less persistent than deterministic device IDs. The natural evolution of the device takes place over time and prevents persistent identification. Probabilistic device recognition can be universal and is not impacted by interoperability issues across platforms — the technology used to generate a probabilistic ID on one network can be the same technology on another network. Unlike some deterministic device recognition approaches, there is no device fingerprinting. Probabilistic device recognition accurately identifies profiles in aggregate, rather than a single device. That’s the inherent beauty of probabilistic device recognition: It can generate more accurate targeting results than cookie-based methods without explicitly identifying single devices. This is more than good enough for most marketers and significantly better than what’s available today. Another benefit is the absence of any residue on the device — no cookie files, flash files or hidden markers. Probabilistic methods can work on devices that block third-party cookies or connect to the Web without using any cookies. For example, you might have a hard-to-reach but valuable audience segment. Probabilistic device recognition could effectively increase your reach on this segment by 40% to 50% and increase the overall targeting accuracy by two times. Let’s say the actual population for this segment is 100,000 members. The typical cookie-based approach might reach 28,000 members but the typical probabilistic device-recognition approach could reach 65,000 members. A Decline In Hardware Entropy If you take a close look at the emitted data from today’s devices, it is not easy to analyze it for device identification. That’s because the data footprint of one device looks a lot like another. Device recognition augmentation methods can address this, such as device usage profiles, geo location clustering, cross-device/screen analytics or ID linkage for first-party data owners. In the short term, device-recognition technologies, particularly probabilistic methods, can greatly improve today’s digital marketing programs. Marketers should become fluent in their use cases and benefits. If 2013 was the year of mobile, I think we’ll see a surge in marketing applications based on device-recognition technologies in 2014. Follow Experian Marketing Services (@ExperianMkt) and AdExchanger (@adexchanger) on Twitter.
According to Experian Marketing Services’ 2014 Digital Marketer: Benchmark and Trend Report, social media Websites are playing an increasingly important role in driving traffic to other Websites, including retail sites and even other social networking sites, at the expense of search engines and portal pages. For instance, as of March 2014, social media sites account for 7.72 percent of all traffic to retail Websites, up from 6.59 percent in March 2013. Further, Pinterest, more than Facebook or YouTube, is supplying the greatest percentage of downstream traffic to retail sites. According to the Digital Marketer Report, more retailers are directing their customers to social media within their email campaigns. In fact, 96 percent of marketers now promote social media in their emails, and it shows. In 2013, for instance, email Websites generated 18 percent more clicks to social networking pages than the year prior. Social drives more traffic to other social Websites Social media Websites are driving more and more traffic to other social sites. In 2013, 15.1 percent of clicks to social networking and forum sites came from other social networking sites, up from a 12.5 percent click share reported in 2012. Despite driving the greatest share of traffic to social networking sites with 39.1 percent of clicks, search engines’ share of upstream traffic to social declined a relative 13 percent year-over-year. Among the other top referring industries to social, only the portal front pages industry — which includes sites like Yahoo!, MSN and AOL and is closely affiliated with search engines — showed a drop in upstream click share providing further evidence that increasingly all (or most) roads lead to social. To learn more about key trends in social media traffic, including downstream traffic from social sites and the share of consumers accessing social media across multiple channels, download the free 2014 Digital Marketer: Benchmark and Trend Report.
Mother’s Day may not exactly be right around the corner, but the time to send your Mother’s Day emails sure is! Based on our analysis of 186 brands that sent Mother’s Day mailings in 2013, 75 percent of email volume and 80 percent of email-generated revenue occurred between May 1st and Mother’s Day (May 12, 2013). The highest revenue-producing days were five days before the holiday (Wednesday, May 8, 2013) and Mother’s Day itself. This year, the sentimental holiday falls one day sooner than last year (May 11), but you still have more than enough time consider these quick tips for easy wins while planning and executing your campaigns. Tip 1: Give them what they’re searching for Last year, online searches five weeks before Mother’s Day were dominated by searches for the date of the holiday. As such, we recommend including the date of Mother’s Day in your email subject lines, particularly those early in the season, when customers are searching online for, and opening emails with, that information. Tip 2: Set the tone early with your subject lines A sample of early season subject lines that outperformed the overall unique open rate included: Remember Mom on Mother’s Day, May 12 Get a head start on Mother’s Day (plus a gift for you) Just arrived: Mother’s Day Gift Sets To Mother, With Love Tip 3: When it comes to timing, it’s the thought that counts Think through the timing of your emails depending on order delivery deadlines. On May 8th of last year, the largest revenue producers for email were orders for flowers and gifts placed in time to be delivered by Mother’s Day. Email subject lines on May 8th included reminders of the delivery deadlines: Last Chance: Free Shipping/No Service Charge for Mother’s Day! ENDS TODAY: Enjoy Complimentary Second Day Delivery in Time for Mother’s Day Tip 4: Let them treat themselves On Mother’s Day, the top email revenue generators were “self-gifting” (treat yourself on Mother’s Day only), Mother’s Day online sales and free shipping, as well as e-gift cards: Free Shipping Today Only! Happy Mother’s Day You deserve a treat yourself! HAPPY MOTHER’S DAY! Treat yourself to 30% off today only Last Chance: eGift Cards in Time for Mother’s Day Other email performance highlights: Note: All email performance highlights are based on comparisons to Mother’s Day mailings without the highlighted feature from matched brands. To all those in the midst of Mother’s Day campaign planning, good luck and happy sending!