Key Takeaways
- Behavioral remedies imposed on Google will not structurally change how programmatic auctions work for CPG and DTC buyers.
- Brands relying on Google’s own tools to audit Google’s own auction behavior are auditing the scoreboard with the scorekeeper’s pen.
- First-party data and direct publisher relationships are now the most durable hedge against consolidated ad tech power.
- Waiting for regulatory relief is a budget strategy that will cost you money in every quarter you wait.
- Independent programmatic buying, with full log-level data access, is the clearest path to reclaiming margin in this environment.
—
The Google ad tech ruling has been framed as a win for competition, but it isn’t, at least not for the brands actually spending money in programmatic. Instead of waiting to fix their media supply chain, CPG and DTC marketers should start building the infrastructure that makes concentration less relevant to their outcomes.
Why “Behavioral Remedies” Are a Distraction for Performance Marketers
A behavioral remedy tells a dominant company to behave differently. It doesn’t change the underlying architecture that made the behavior possible. Google still owns the buy side, the sell side, and the auction layer that sits between them. That structure doesn’t change because a judge issues conduct requirements.
For a brand spending seven figures annually in programmatic, this matters in a concrete way. When the same entity runs the bidder, the exchange, and the publisher ad server, the information asymmetry is baked in. Conduct rules don’t close that gap. Audits might narrow it slightly, but only if those audits are independent, granular, and ongoing. Most are none of those things.
What the Concentration Problem Actually Costs CPG Brands
The cost shows up in your CPMs, your win rates, and your reporting.
Here is where brands typically absorb the real damage:
- Auction opacity. Without log-level data from independent sources, you cannot verify whether the prices you paid reflect genuine market demand or internal pricing advantages.
- Reporting circular logic. When your measurement tools are built by the same company running your auctions, your performance data reflects what that company wants you to see.
- DSP dependency. Brands that run all or most of their programmatic through a single DSP tied to a dominant exchange have no baseline for comparison. You cannot optimize what you cannot benchmark.
- Creative and signal lock-in. Google’s AI-driven buying products increasingly require you to hand over creative control and audience signal management to get “optimized” performance. That trade erodes your ability to operate independently.
We have written about this dynamic before in the context of programmatic lock-in and what CPG media buyers can do about it. The ruling doesn’t change the core tension. It just confirms that regulatory relief will not arrive in time to help your Q3 plan.
What Programmatic Buying for CPG Brands Should Look Like Right Now
The brands getting the most out of programmatic are not waiting for a more competitive ecosystem. They are engineering around concentration with specific structural choices.
Prioritize Log-Level Data Access
If your current DSP doesn’t give you raw impression-level data, you are buying blind. Log-level data lets you reconstruct auction dynamics, identify domain-level inefficiencies, and verify that the inventory you paid for actually delivered. This is the foundation of any honest performance review.
Use Multiple DSPs With Intentional Allocation
Running a portion of your budget through an independent DSP, even at a smaller scale, gives you a real-world pricing benchmark. That comparison is worth more than any audit report. It tells you, in actual dollars, what the concentration premium is costing you.
Build Direct Publisher Relationships in Parallel
Programmatic is a buying mechanism, not a media strategy. Some of the best performing inventory in CPG categories, especially in food, wellness, and home, is available direct at prices that don’t carry the exchange markup. Private marketplace deals and direct IOs with aligned publishers are not a legacy tactic. They are a competitive advantage when the open auction is compromised by concentration.
Treat First-Party Data as Infrastructure, Not a Project
The brands that will navigate the next phase of programmatic best are the ones who own their audience relationships. That means CRM integration with media activation, loyalty data feeding suppression and prospecting logic, and a clean room strategy that doesn’t require handing your data to the platform running your auctions. We covered why this matters in our piece on first-party data and programmatic performance.
The Agency Model Problem Makes This Worse
Most brands are navigating this with agencies that have their own conflicts. Holding company trading desks benefit from consolidated buying through dominant exchanges. Their incentives are not aligned with surfacing a better price for your brand. They are aligned with volume commitments and margin taken off the top before a dollar reaches a publisher.
An independent agency running your programmatic has no financial reason to keep you in a system that overcharges you. That structural difference shows up in quarterly media costs and in who is willing to show you the actual receipts.
The Real Competitive Window Is Now
The uncertainty created by the ruling is, ironically, a short-term opportunity. Some publishers and platforms are more motivated than usual to demonstrate value outside the Google stack. Some DSPs are actively competing for budget with real pricing advantages. That window won’t stay open indefinitely.
Brands that use this moment to diversify their programmatic infrastructure, demand log-level transparency, and build direct data and publisher relationships will be in a materially better position when the next regulatory cycle plays out, whatever direction it goes.
The court did not fix programmatic buying for CPG and DTC brands. You have to do that yourself.
—
If you want to see what transparent, independent programmatic buying actually looks like in practice, explore Junction 37’s performance media services.
—
FAQ
What does the Google ad tech ruling mean for CPG brands buying programmatic?
It means structural change isn’t coming from the courts, at least not soon. Google keeps its ad exchange and publisher ad server. Behavioral conduct requirements may produce marginal improvements in transparency, but they don’t change the underlying information asymmetry in the auction. CPG brands should plan their programmatic strategy as if the current structure is permanent.
What is log-level data and why does it matter for programmatic transparency?
Log-level data is the raw, impression-by-impression record of every auction your DSP participates in. It includes bid prices, win prices, domain, timestamp, and inventory source. Without it, you are relying on aggregated reports that can obscure where your money went and what it actually competed against. Any serious audit of programmatic efficiency starts here.
How can CPG and DTC brands reduce dependence on Google in their programmatic buying?
The most effective path combines three moves: running a meaningful budget allocation through at least one independent DSP for benchmarking purposes, establishing direct publisher relationships or private marketplace deals for priority inventory, and activating first-party data through a clean room that doesn’t require sharing signals with the platform running your auctions.
Is waiting for more competition in ad tech a reasonable strategy for brands?
No. Regulatory cycles operate on timelines that are completely disconnected from quarterly media planning. Brands that wait for structural competition to emerge before demanding transparency or diversifying their DSP relationships will absorb avoidable costs in the meantime. The infrastructure decisions you make now determine your margins for the next several years.
—
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.