Key Takeaways
- Brands using retail media purely as a paid placement are missing the more valuable asset: the intelligence layer underneath it.
- Walmart’s Scintilla platform now connects marketplace data, AI agents, and custom alerts in ways that reward brands with a real data strategy.
- Most CPG media teams are structured to buy, not to learn, which means richer platform intelligence goes unread and unused.
- The gap between brands that extract insight from retail media and those that just run ads is growing fast.
- Retail media networks that build closed intelligence ecosystems will increasingly favor brands that come with first-party data and strategic intent.
- Agencies that only optimize for ROAS inside retail media are leaving competitive intelligence on the table for their clients.
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Retail media data strategy is no longer optional for CPG brands that want to compete at shelf, digital or physical. When a retailer embeds AI agents, marketplace signals, and customizable intelligence dashboards into its media platform, it’s changing the terms of the relationship. Brands that understand that shift will pull ahead. Brands that keep treating retail media as a line item in a trade budget will keep wondering why their numbers plateau.
The Shift Most CPG Brands Are Sleeping On
Walmart didn’t just add features to Scintilla. It built a deeper connection between its AI capabilities and its marketplace data, which means brands now have access to signals that used to require a separate data partnership, a dedicated analyst, or a lot of guesswork.
Most CPG brands are still operating with a buying mindset inside retail media. They set budgets, run sponsored listings, check ROAS, and repeat. The idea that the platform itself could be a source of competitive intelligence, demand signals, or category insight has not reached most brand-side media teams yet.
This is the gap we see constantly at Junction 37. Brands come to us frustrated that retail media “isn’t scaling,” but when we dig in, they have never actually used the data the platform is already giving them.
What Retail Media Intelligence Actually Looks Like
Retail media intelligence is the layer of insight that sits on top of your paid activity inside a retailer’s ecosystem. It includes:
- Search trend data
- Category share signals
- Conversion rate benchmarks
- Inventory correlations
- AI-generated alerts and recommendations tied to marketplace-wide behavior
This isn’t the same as your ROAS dashboard. ROAS tells you what happened after someone clicked. Retail media intelligence tells you what the market is doing before, during, and after your campaign runs.
A brand with a real retail media data strategy does these things differently:
- Monitors category-level signals, not just campaign-level metrics, so they can see demand shifts before they show up in their own sales data.
- Uses platform AI outputs as a starting point. Human analysts pressure-test what the machine surfaces.
- Connects retail media data to broader media planning, so what they learn on-platform informs their off-platform spend and creative strategy.
- Sets custom alerts for competitor-adjacent keywords, so they know when the category is heating up and can respond in near-real time.
- Treats the retailer relationship as a data partnership, not just a vendor relationship.
Why Most Agencies Are Part of the Problem
The standard agency model for retail media is built around buying and reporting. You get a media planner, a buyer, and someone who pulls a report at the end of the month. That structure made sense when retail media was basically digital circulars but it doesn’t make sense anymore.
When a platform like Scintilla is producing AI-driven alerts, marketplace trend data, and category-level insight, the right agency response is to have analysts who read that data, synthesize it, and feed it back into strategy. That takes expertise, time, and a fundamentally different operating model than most agencies run.
We’ve written before about why retail media strategy needs to go beyond sponsored listings, and the Scintilla upgrade makes that argument even harder to ignore. The platforms are ready. The brands and agencies have to catch up.
The Brands That Will Win in Retail Media
The CPG brands that will win as retail media matures into a true intelligence layer share a few characteristics. They come to the retailer with their own first-party data and a willingness to connect it. They treat platform learning as part of their media investment, not an afterthought. And they work with partners who can translate platform intelligence into action, not just into slides.
Retail media networks are building toward ecosystems where the most sophisticated brands get the most access, the best placements, and the most useful data. That is already true at Amazon and is becoming true at Walmart. The window to position your brand on the right side of that equation isn’t permanently open.
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Frequently Asked Questions
What Is Retail Media Intelligence and Why Does It Matter for CPG Brands?
Retail media intelligence is the layer of market insight built into a retailer’s ad platform, covering category trends, search behavior, conversion benchmarks, and AI-generated signals. It matters because it tells CPG brands what shoppers are doing across the entire category, not just within their own campaigns. Brands that access and act on this data make faster, better-informed media decisions.
How Is Walmart’s Scintilla Different from a Standard Ad Dashboard?
Scintilla is connected to Walmart’s broader marketplace data, which means it reflects category-wide behavior, not just campaign performance. The addition of AI agents and custom alerts means brands can monitor signals and get proactive recommendations, rather than waiting for a monthly report. That makes it an intelligence platform, not just a reporting tool.
Should CPG Brands Change Their Internal Structure to Use Retail Media Data Better?
Yes, or they should ensure their agency brings that structure. Most brand-side media teams are optimized to approve budgets and review reports. Extracting value from retail media intelligence requires someone who can read platform signals, synthesize them, and feed insight back into planning. That is an analyst function, and it needs to be part of the team, not an afterthought.
Is a Bigger Budget Required to Access Better Retail Media Intelligence?
Not necessarily. Access to platform intelligence tools like Scintilla is often tied to the retailer relationship and platform tier, not raw spend alone. What matters more is how you use the access you have. A mid-sized CPG brand with a disciplined data strategy will outperform a larger brand that is just running high-volume campaigns on autopilot.
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Ready to treat your retail media investment as a data asset, not just a media buy? The team at Junction 37 builds retail media strategies that go beyond the sponsored listing. See how we work or get in touch to talk through what your brand is leaving on the table.
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Chris Pyne, Founder and CEO of Junction 37 and its sister venture Series A. He built Cortex, J37’s proprietary AI-driven planning ecosystem, and pioneered the integration of predictive marketing science into client strategy. Previously, Chris held C-suite roles at OMD USA and MediaCom, where he led planning for $7B in billings and 700+ employees.