Over the past two decades, the marketing landscape has significantly evolved. Among the myriad new channels that
have emerged, few have been as impactful or transformational as digital retail media. Globally, this sector is
expected to reach a valuation of USD 179.5 Billion in 2025, following an annual growth rate of 15.4
percent.1 These figures represent a rapid adoption of retail media advertising, which is easy to
understand when considering its unparalleled value for both retailers and manufacturers.
Charting the Rise of Retail Media Advertising
Retail media advertising provides something unique in the marketing ecosystem: Direct visibility to high-intent
customers right at the point of purchase. When consumers are ready to buy, retail media ads ensure your brand is
right there and at the top of their mind, giving marketers a critical edge. Moreover, it aligns seamlessly with
broader marketing objectives, enabling teams to:
- Personalize customer experiences and journeys at the point of sale
- Gain insights into buying trends through data from retail media networks
- Evolve strategies and re-target ads dynamically to improve advertising performance and ROI
While the ability to personalize, optimize and drive sales is compelling, the tangible value of retail media
extends even further. Since it appears directly at the point of sale, it is far easier to attribute ROI to
retail media than to other advertising formats. With margins reaching 80-90 percent,2 this is a
channel that brands simply cannot afford to ignore, especially at a time of shrinking marketing budgets.
The Big Misstep in Retail Media Strategies
While the value and opportunity of digital retail media are undeniable, many organizations are falling into a
critical trap. This is still a relatively new channel for many CPG companies, and its rapid evolution has
outpaced the strategies and processes of those managing it. As a result, retail media is often treated as a
siloed initiative, disconnected from broader advertising strategies and spend.
This fragmented approach can prevent teams from realizing the full potential of retail media. As it becomes a
cornerstone of advertising portfolios, organizations must integrate it into their broader marketing ecosystems,
leveraging all available data to drive cohesive, strategic decision-making.
Turning Data from a Challenge into an Advantage
Retail media networks generate massive data, offering companies critical intelligence on campaign effectiveness
and consumer behavior. However, this data deluge also introduces complexity. Without proper integration and
analysis, teams risk missing out on actionable opportunities.
Three crucial steps drive long-term retail media success for CPG
manufacturers.
Step 1
Standardize and Integrate Data from
Retail Media Networks
Retail media networks provide advertisers with valuable first-party data. Working with more networks
gives companies access to a broader range of data. However, as the number of networks increase, it
becomes increasing challenging to maintain a consistent view of which investments are delivering the
highest returns.
To optimize retail media spend, it is, therefore, essential to create a unified view of performance
across the networks. This requires standardizing the data, which often comes in various formats, to
easily compare data points.
Step 2
Make Standardized Insights Visible in
Real-time
Retail media networks often provide a real-time view of campaign performance – a unique
advantage over other advertising channels. To capitalize on this, it is important, post data
standardization, to make the data immediately accessible to relevant stakeholders through
user-friendly dashboards.
Real-time visibility ensures that insights from any retail media network can be applied to optimize
campaign efforts across a portfolio.
Step 3
Continuously Compare Performance to Build
an Optimized Retail Media Partner Portfolio
With a standardized, granular and real-time view of performance across retail media networks,
companies can start making informed spend decisions across all networks and channels.
The standardized data foundation further allows the integration of other contextually relevant
customer and marketing data. This ensures retail media decisions are aligned with wider marketing
strategies and are finely tuned to maximize ROI.
Key Challenges to Address
While these three steps set the foundation for success, digital retail media presents several key challenges that
CPG companies need to be wary of:
1. Data Integration
Retail Media Organizations (RMOs) and networks, such as Amazon Advertising, Walmart Connect and Target
Roundel, often use different data formats, structures and Application Programming Interfaces (API),
making integration with internal systems complex.
2. Privacy Compliance
Data-sharing agreements must comply with privacy regulations. Brands need robust consent mechanisms and
data-handling practices to protect consumer privacy and ensure compliance.
3. Misaligned Metrics
Metrics, terminologies and Key Performance Indicators (KPI) often differ across networks and marketing
channels, making it difficult to compare effectiveness and ROI.
4. Analytics Expertise
Building effective optimization models requires advanced analytics techniques and domain expertise, which
some teams may lack internally.
5. Delayed Decision-making
Delays in data processing and analysis can hinder timely decision-making, resulting in missed
opportunities and reduced ROI.
Anticipating these challenges and developing a proactive strategy ensures that retail media becomes an integral
and high-performing part of a transparent and cost-optimized marketing mix.
Case Study: Optimizing Digital Marketing ROI through
Integrated Retail Media Data
A global CPG major sought to maximize its digital marketing ROI while navigating the complexities of retail media
advertising. Facing the challenge of fragmented data across multiple platforms and channels, the company turned
to WNS
Analytics for a comprehensive solution that would streamline data integration, enable real-time insights
and support smarter marketing decisions.
The Challenge
-
Siloed Data Streams
Over 1,000 data streams across various platforms, such as Meta, Amazon, Google Ads, Snapchat, TikTok and retail media networks, required integration and harmonization.
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Inconsistent Formats
Each network provided data in different structures and formats, complicating analysis.
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Limited Visibility
Teams struggled to maintain a unified view of campaign performance, making it difficult to compare ROI across channels.
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Inefficient Decision-making
Without real-time insights, the company’s marketing teams faced delays in optimizing campaigns and re-allocating budgets.
The Solution
WNS Analytics implemented an advanced solution following the three-step framework to integrate and
optimize the CPG company’s retail media data.
The first step involved building a Media Data Domain on Microsoft Azure using a data mesh
architecture. This scalable data layer unified the diverse data streams available to the marketing
teams. It further automated data ingestion, conducted quality checks and harmonized data for
consistency, creating a robust foundation for analytics.
With this standardized data layer, WNS Analytics introduced advanced machine learning capabilities,
including a highly intuitive ROI calculator and "what if" scenario modeling tools. These
innovations were made accessible to the company’s teams and empowered them with a continuous,
contextualized view of performance across retail media channels, enabling rapid, data-driven
marketing decisions and optimal budget allocation.
The Results
The unified, integrated data and analytics mechanism for retail media data empowered the CPG company to
drive significant improvements in its marketing performance, including:
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Enhanced ROI
The company’s brands experienced an average 9 percent increase in ROI across retail media campaigns.
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Improved Efficiency
Automated data ingestion and analysis reduced the time spent on manual data management.
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Smarter Strategy
Scenario modeling enabled teams to model any proposed changes to their strategy to see its potential impact, thus enabling them to proactively adapt their strategies to shifting market conditions and consumer behaviors.
Make the Most of the Retail Media Opportunity
Digital retail media advertising offers an unparalleled opportunity for marketers. Already a key component of
most organizations’ advertising strategies, its rapid growth shows no signs of slowing. However, to fully
capitalize on this channel’s potential, CPG companies must adopt a strategic, data-driven approach.
By building a strong foundation to standardize and integrate retail media data, forward-thinking companies can
unlock years of optimized decision-making and measurable success. Leaders who embrace a mature, unified approach
to managing retail media data are empowered to make precise, real-time optimization decisions. This not only
maximizes ROI but ensures they stay ahead of competitors in an increasingly dynamic and high-stakes marketing
environment.
Discover how WNS Analytics can help you unlock maximum value from your data and transform your marketing decisions — talk to our experts today or download our marketing mix modeling eBook to learn more.
FAQs
1. What is retail media optimization and why is it important for CPG brands?
Retail media optimization uses data from retail media networks to improve ad targeting, performance, and ROI. For CPG
brands, it ensures ads reach customers at the point of purchase, enhances personalization, and maximizes sales
opportunities in a competitive digital marketplace.
2. How can CPG companies integrate fragmented retail media data effectively?
CPG companies can standardize and unify data from multiple retail media networks like Amazon, Walmart, and Target.
Creating a single dashboard allows marketers to access real-time insights, compare campaigns, identify top-performing
channels, and make faster, data-driven decisions.
3. What are the key steps to monetize the digital shelf?
To monetize the digital shelf, CPG brands should: (1) standardize and integrate retail media data, (2) make insights
accessible in real-time dashboards, and (3) continuously compare and optimize media partner performance to maximize ROI
across campaigns and channels.
4. How does real-time retail media data help improve marketing ROI?
Real-time data allows marketers to track campaign performance instantly, adjust ad spend, test new strategies, and
respond to changing consumer behavior. This continuous optimization ensures resources are used efficiently, increasing
conversion rates and delivering measurable ROI for CPG brands.
5. What challenges should CPG brands watch out for in retail media campaigns?
CPG brands face challenges like fragmented data, inconsistent KPIs, privacy compliance requirements, lack of advanced
analytics skills, and delays in decision-making. Anticipating these issues and implementing a standardized, integrated
data approach helps overcome obstacles and drive campaign success.
6. Can integrating retail media with broader marketing strategies really drive growth?
Yes. Aligning retail media with overall marketing strategies ensures cohesive campaigns, accurate attribution, and
better targeting. Data-driven integration enables CPG brands to optimize budgets, improve customer experiences, and
achieve higher ROI while staying ahead in competitive markets.
References
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Retail Media 2025: The big leap or a bandwagon? | The
Financial Express
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Causation or Coincidence? The Need for Incrementality
Measurement in Retail Media | Retail TouchPoints