CPG brands talk a lot about first-party data. In practice, many still depend mostly on retailer data. That makes sense: the transaction, the basket, the frequency and the final purchase behavior often remain with the retailer. EY rightly points out that retailers and brands do not own the same data layers, and that a real value strategy depends on a better connection between the two. The problem is that if a brand expects everything from retailers, it remains dependent on their pace, their formats and their priorities.
The key takeaway
Building a first-party base in CPG does not mean selling everything direct. It means capturing useful signals on your audiences, your touchpoints and your purchase intent, so you stop managing performance only through sales data you do not control.
On the ground, the problem is simple. The brand invests in media. It drives traffic. It activates social channels. It launches drive-to-store campaigns. Then it waits for the retailer to say what happened. This creates structural dependency. You sometimes know what was sold. You know much less about who showed interest, when, through which message, in which context and with what level of intent before purchase. Yet this is precisely the layer that first-party audience measurement helps rebuild.
Why the topic is becoming urgent
The first issue is the loss of granularity outside your own environments. Retail media networks rely on retailers first-party data, including purchase history and browsing behavior on their digital properties. This is powerful for activation. It is much less comfortable for a brand that wants to keep an independent view of its audience.
The second issue is the end of shortcuts. In a world with more cookie constraints and more fragmented journeys, CPG brands can no longer rely only on rented audiences through platforms, retailers or media networks. They need an owned audience, even a partial one, to segment better, test better, nurture better and make better trade-offs.
The third issue is business value. Circana emphasizes that integrating first-party, behavioral and offline data is becoming essential to understand growth, behavior shifts and marketing investment effectiveness. In short, if you do not rebuild your own reading layer, you are still managing with a blind spot.
What the brand really needs to build
The word base can be misleading. This is not just about filling a CRM with emails. A real CPG first-party base relies on several types of signals:
- declarative signals, such as preferences, use cases, quiz answers or form responses
- behavioral signals, such as visits, clicks, product views and interactions with content
- intent signals, such as exits to distributors, internal searches and additions to a list
- relationship signals, such as newsletter registrations, games, relationship programs or sample requests
This is where many brands get it wrong. They wait for a large-scale setup. In reality, a CPG data strategy often starts with a few well-designed collection points. A useful brand website. Clean landing pages. Campaigns connected to a readable journey. A where to buy experience that does not simply display links, but also captures interest signals. This kind of approach helps make those signals more useful than scattered traffic.
Why depending on retailers limits marketing visibility
Retailers see the transaction better. Brands see the upstream journey better. That is normal. EY explains that data collaboration between retailers and brands should start from this asymmetry: each side holds part of the truth, but not the whole picture. The problem is that many CPG brands leave the upstream part underused. They have traffic, campaigns, content and sometimes powerful activations, but little structure around their own consumer data.
As a result, the brand knows that a campaign ran. It knows less precisely which message captured attention, which products generated the most interest, which segments showed real intent and which retailers captured that demand. This is exactly why this issue becomes central when you do not sell only direct.
| What the brand captures on its own | What the retailer captures better | What needs to be connected |
|---|---|---|
| Interest in a campaign or content | Final transaction and basket | Purchase intent and exit point |
| Preferences, use cases and engagement | Purchase frequency and repeat purchase | Actionable segments and value signals |
| Traffic and behavior on the brand website | Availability and conversion at retailer level | Journey between exposure and purchase |
| CRM interactions and content engagement | Owned transactional data | A more complete view of performance |
What we recommend in practice
The right approach is not to dream of a perfect data lake before taking action. You need to start small, but useful. First, clarify which signals you want to own. Then choose where to capture them. Finally, connect them to actions. A first-party activation only matters if it improves a marketing decision, personalization, performance measurement or a deeper understanding of your audiences.
- Create one or two useful collection points, not ten gadgets
- Connect campaigns to pages or journeys that can capture a signal
- Work with simple segments: new interested users, engaged visitors, strong intent and re-engagement
- Connect your first-party signals to your retail data whenever possible
- Measure what becomes a useful action, not just a visit
In this logic, Click2Buy is a very concrete example. Where to buy does not replace a CRM base. However, it can enrich first-party visibility by capturing real intent signals: which products generate interest, which distributors are chosen and which channels trigger a useful exit. This layer is valuable because it reconnects brand audiences to retail reality. The same logic applies here.
The real debate is not the size of the base
Many CPG brands get stuck because they believe a first-party base must be massive to be useful. That is wrong. A modest but clean base, connected to real marketing and sales use cases, is worth far more than a large file that cannot be activated properly. EY also points to the value of a smarter data exchange logic, while Circana highlights the importance of integrating several data layers to better read growth. Both point in the same direction: activation quality matters more than volume alone.
The line to follow is simple. A CPG brand that wants to take back control of its audience does not need to become a retailer. It needs to build its own layer of reading, relationship and intent. That is where real data autonomy begins. Not when it owns every transaction. But when it understands its audiences better than what retailers are willing to show.
Why should a CPG brand build its own first-party audience?
Because it gains a more direct view of its consumers and depends less on platforms or retailers.
How can a brand create a first-party base without selling only direct?
By capturing useful signals through the brand website, campaigns, games, content, activations and paths to purchase.
How much data do you really need to start?
Not that much, as long as the data is clean, actionable and connected to real marketing and sales use cases.
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Maxence Antao, Communications Officer at Click2Buy
Our role at Click2Buy is to guide our clients throughout the buying journey and optimize their marketing ROI using real-time retailer stock data.
