Key Takeaways:
- First-party data is now a requirement for CPG brands. Coca-Cola’s CFO called data matching “one of our core areas” ahead of a global agency review. That tells the whole category the baseline has moved.
- Borrowed audiences no longer hold up. Third-party segments, retail media black boxes and demographic proxies can’t compete with SKU-level performance measurement.
- Data matching doesn’t take enterprise money. It means connecting owned data like email lists, purchase records, loyalty data and CRM to media platforms.
- Many agencies benefit from vague data. Loose targeting keeps the conversation on impressions instead of outcomes. If your agency hasn’t asked about your first-party data in the first month, treat that as a red flag.
- Clean data beats a big budget. Privacy rules are tightening and platforms reward strong first-party signals. A brand with a smaller but well-matched customer file can outperform a much bigger CPG brand running on recycled third-party segments.
When Coca-Cola’s CFO publicly calls data matching “one of our core areas” heading into a global agency review, that’s a signal about the entire CPG category.
First-party data for CPG brands is no longer a future priority; it’s a present requirement. If your brand can’t match your customer data to media signals right now, you’re running blind.
This isn’t about being Coca-Cola. It’s about what Coca-Cola is telling us about where the floor has moved.
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The Dirty Secret About CPG Media Buying
Most CPG media programs are still built on borrowed audiences. Third-party segments. Retail media black boxes. Demographic proxies that haven’t been validated against actual purchase behavior in years.
That worked when the alternative was a TV spot and a prayer. It doesn’t work now.
Performance media has gotten precise enough to expose weak data infrastructure. Measuring cost-per-acquisition down to the SKU level, “we targeted adults 25-54 who like cooking” is a placeholder, not a strategy.
The brands winning in paid social and programmatic right now are the ones who know who actually bought, who’s likely to buy again, and how to find more of them. That knowledge comes from first-party data, full stop.
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What “Data Matching” Actually Means
Mid-market CPG brands get stuck when they hear “data matching” and assume it requires enterprise infrastructure, a data science team, and a seven-figure tech investment. It doesn’t.
Data matching, defined: connecting your owned customer data like email lists, purchase records, loyalty data, CRM, to media platforms so your targeting and measurement reflect real people, not modeled guesses.
Here’s what that actually looks like in practice:
- Customer list uploads to Meta and Google for direct matching and lookalike modeling
- Retail data partnerships (like Kroger 84.51° or Circana) that tie media exposure to in-store purchase
- Pixel and conversion API setup that captures on-site behavior even as cookies disappear
- CRM segmentation that separates new buyers from repeat buyers so you’re not treating them the same in media
- Post-purchase surveys that add zero-party data to fill gaps where tracking falls short
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Why Most Agencies Aren’t Helping You Here
The uncomfortable truth is that most agencies benefit from data opacity. Vague targeting means vague accountability. Vague accountability means the conversation stays focused on impressions and reach, not outcomes.
A performance media agency worth working with should be pushing you to build data infrastructure that makes their own work harder to hide behind. If your agency isn’t asking about your first-party data assets in the first month, that’s a red flag.
At Junction 37, the first thing we do with a new CPG client is a data audit. Not a media plan. Not a creative brief. We need to know what you have, what’s connected, and where the gaps are, because everything downstream depends on it.
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The Brands That Will Win the Next 24 Months
The deprecation of third-party cookies has been slower than predicted, but the direction hasn’t changed. Privacy regulations are tightening. Platform algorithms are getting better at using first-party signals and worse at tolerating bad ones.
The CPG brands that invest in data infrastructure now will have a structural advantage that can’t be replicated quickly by competitors who waited.
A DTC brand with 80,000 customers and a clean, matched data set will outperform a $50M CPG brand running on recycled third-party segments. We’ve seen it happen. The sophistication gap is real, and it runs in the opposite direction most people expect.
If you’re ready to build a media program that’s actually built on your data, get in touch.
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FAQ: First-Party Data for CPG Brands
What is first-party data and why does it matter for CPG brands?
First-party data is information you collect directly from your customers — purchase history, email addresses, on-site behavior, loyalty program data. For CPG brands, it matters because it lets you target and measure media based on actual buyer behavior rather than estimated audience segments.
Do I need a large budget to build first-party data infrastructure?
No. The fundamentals — customer list uploads, conversion APIs, CRM segmentation — are accessible at most budget levels. The investment is more about process and ownership than technology spend.
How does data matching improve paid media performance?
Data matching connects your customer records to media platforms, which improves targeting accuracy, enables better lookalike modeling, and ties media spend to real purchase outcomes. Brands with matched data typically see lower customer acquisition costs and higher return on ad spend.
What should I ask my agency about first-party data?
Ask them to walk you through how your first-party data is currently being used in campaign targeting and measurement. If they can’t answer clearly, that’s your answer.
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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.