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Index/Marketing/B2B Marketing with Fexingo
B2B Marketing with Fexingo artwork

How B2B Marketers Use First-Party Data After Cookie Deprecation

B2B Marketing with Fexingo · 2026-07-03 · 7 min

0:00--:--

Key moments - from our scoring

Substance score

54 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality10 / 20
Guest Caliber8 / 20
Specificity & Evidence13 / 20
Conversational Craft11 / 20

With third-party cookies fully deprecating by end of 2026, B2B marketers face an urgent need to rebuild their demand generation and targeting strategies around first-party data - information collected directly from their own channels like websites, product usage, CRM records, and email engagement. Lucas and Luna break down what this means in practice, using Darktrace as a detailed case study: the enterprise security vendor built trial-intent scoring that captures behavioral signals from free trial users, creates lookalike audiences on LinkedIn and programmatic channels, and achieved a 34% lift in demo requests compared to old cookie-based retargeting. The core playbook involves capturing zero-party data through preference centers and interactive content, enriching it with first-party behavioral data, and using a customer data platform (CDP) to unify these signals across silos - website, CRM, and product analytics. Critical infrastructure includes consent management that respects GDPR and CCPA, and often-overlooked offline data from sales teams, events, and RFPs that can be activated through LinkedIn Matched Audiences or Google Customer Match. The episode emphasizes that this transition, while technically demanding, is fundamentally a process problem: defining data standards, connecting systems, and moving immediately to audit current collection points.

Key takeaways

  • →First-party data from product trials and behavioral engagement is more predictive than cookie-based retargeting, as demonstrated by Darktrace's 34% lift in demo requests using trial-intent lookalike audiences.
  • →Unifying first-party data requires a customer data platform (CDP) to break down silos between website analytics, CRM, product usage, and offline event data into unified user profiles.
  • →Consent management is non-negotiable when leveraging first-party data; transparency around data collection is table stakes under GDPR and CCPA, not optional.
  • →Offline first-party data from sales teams, events, and RFPs is high-intent and valuable - activate it through LinkedIn Matched Audiences and Google Customer Match by implementing structured data entry standards.
  • →Start immediately by auditing all data collection touchpoints and implementing a granular consent banner that builds the foundation for first-party audience segments before cookie-based retargeting stops working entirely.

Guests

Luna

Topics in this episode

First-party data strategyGDPRconsent managementCCPAThird-party cookie deprecationCustomer Data Platforms (CDP)Trial-intent scoringDarktraceLinkedIn Matched AudiencesGoogle Customer Match

Questions this episode answers

What is first-party data and how is it different from third-party cookies for B2B marketers?

First-party data is information collected directly from your own audience - website visits, form fills, email clicks, product usage, and CRM records that you own. Unlike third-party cookies, which track prospects across the web using a middleman, first-party data is owned entirely by your company and doesn't rely on external tracking infrastructure.

How did Darktrace use first-party data to improve their demand generation results?

Darktrace built trial-intent scoring that captures behavioral signals from free trial users - which features they use, login frequency, and enabled integrations - then used that data to create lookalike audiences on LinkedIn and programmatic channels, achieving a 34% lift in demo requests compared to old cookie-based retargeting.

What infrastructure is needed to activate first-party data across marketing channels?

A customer data platform (CDP) is essential to unify anonymous and known user profiles by connecting data silos across your website, CRM, product analytics, and offline sources. You also need airtight consent management that complies with GDPR and CCPA, since you become the direct data controller.

How can B2B marketers activate offline sales data like event attendees and RFP submissions?

Upload structured contact lists from events, meetings, and RFPs into LinkedIn Matched Audiences or Google Customer Match with proper tagging - such as event name or interaction type - after establishing data entry standards with your sales team so the data is captured consistently in your CRM.

What should a B2B marketer do this week to prepare for cookie deprecation?

Audit all data collection touchpoints across website, email, events, product trials, and support; implement a granular consent banner that goes beyond 'accept all'; then start building first-party audience segments in your CDP using at least one channel like website data.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode covers concrete first-party data concepts (zero-party, behavioral, offline data collection) and explains a real shift in B2B marketing practice, but relies heavily on defining terms rather than surfacing non-obvious strategic insights. The Darktrace example provides practical value, but much of the conversation is foundational rather than challenging assumptions a sophisticated B2B marketer might already hold.

First-party data is information you collect directly from your own audience - website visits, form fills, email clicks, product usage, CRM records.
Darktrace uses that data to create lookalike audiences for LinkedIn and programmatic channels.

Originality

10 / 20

The framing of cookie deprecation as an 'opportunity' is sensible but widely circulated at this point in the industry. The Darktrace trial-intent scoring example is concrete, but the overall playbook - collect first-party data, use CDPs, build lookalike audiences, enforce consent - is standard guidance across B2B marketing discourse. No contrarian or first-principles thinking emerges.

The smartest teams I've talked to are actually treating this as an opportunity.
The playbook is: capture zero-party data straight from the user - preference centers, interactive content, assessment tools, free trials.

Guest Caliber

8 / 20

Luna appears to be a practitioner or analyst with domain knowledge (specific Darktrace reference, understanding of infrastructure), but neither guest is identified as a named operator who has built and scaled a first-party data strategy at enterprise scale. The conversation reads as informed commentary rather than expertise from someone who has shipped this at a major company. No verification of guest credentials is provided.

I want to talk about a specific company that's done this well. Security vendor Darktrace.
I've seen teams set up simple rules: any business card scanned at a booth gets logged in the CRM within 24 hours

Specificity & Evidence

13 / 20

The Darktrace case study provides a named company, a specific tactic (trial-intent scoring), a concrete lift metric (34%), and clear data points (feature usage, login frequency, integrations). However, most other advice is procedural and generic - CDPs, consent banners, audience tagging - without specific vendor names, customer examples, or measurable outcomes beyond Darktrace. The offline data advice lacks examples of actual lift or implementation.

They reported a 34% lift in demo requests from campaigns that used these first-party lookalike audiences compared to their old cookie-based retargeting.
Any prospect who signs up for a free trial of their product generates a huge amount of behavioral data - which features they use, how often they log in, what integrations they enable.

Conversational Craft

11 / 20

The hosts ask logical follow-ups and maintain clear structure, but questions are largely confirmatory rather than challenging. Lucas and Luna rarely push back on claims, test assumptions, or explore counterarguments - for instance, no discussion of why first-party data might be insufficient for true demand gen, or failure rates in CDP implementation. The conversation feels collaborative but lacks adversarial sharpness that would deepen insights.

So instead of relying on a cookie that followed someone from a tradeshow website, they're using actual product engagement signals to find similar prospects. That's smart.
How do you activate that for digital campaigns?

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

data27party17first15lucas13luna12product6website5audiences5cookie4teams4prospect4third3cookies3google3retargeting3based3

Episode notes

Episode 90 of B2B Marketing with Fexingo tackles the biggest shift in digital advertising: the death of third-party cookies. Lucas and Luna break down how enterprise marketers are rebuilding their demand gen strategies using first-party data from their own platforms - website behavior, CRM signals, product usage, and even offline sales data. They walk through a specific case: how security software vendor Darktrace used its own trial-user data to create lookalike audiences for LinkedIn and programmatic channels, driving a 34% lift in demo requests without relying on cookies. The hosts also discuss the practical challenges: data silos, consent management, and the cost of building clean data pipelines. Plus, a quick honest moment about how listener support keeps the show ad-free. If you're a B2B marketer wondering how to generate pipeline when retargeting stops working, this episode gives you a concrete framework to start with.

Full transcript

7 min

Transcribed and scored by The B2B Podcast Index.

Lucas: So you've probably seen the headlines - third-party cookies are finally going away. Google started rolling out the deprecation in Chrome earlier this year, and by the end of 2026 they'll be fully gone. For B2B marketers who've relied on retargeting and cookie-based account targeting, this is a genuine existential moment. Luna: Right - and it's not just Google.

Safari and Firefox blocked them years ago, but Chrome was the last holdout. So now the entire web is effectively cookieless. Lucas: Exactly. And enterprise marketers are scrambling.

But here's the thing - the smartest teams I've talked to are actually treating this as an opportunity. They're finally forced to invest in first-party data strategies they should have built years ago. Luna: Before we dive deeper - quick honest thing. A handful of listeners chip in monthly through buy me a coffee dot com slash fexingo, and that's literally what funds making this many of these episodes ad-free.

So if these marketing conversations have sparked something you've actually used, that's where to find it. Lucas: Yeah, genuinely - we don't run ads, so listener support keeps the lights on. And it means we can spend time on topics like this one, which gets pretty technical. Alright - so first-party data.

What does that actually mean for a B2B marketer today? Luna: Let's define it clearly. First-party data is information you collect directly from your own audience - website visits, form fills, email clicks, product usage, CRM records. It's yours.

You own it. No middleman. Lucas: And the key shift is that before, you could augment that data with third-party cookies - like tracking a prospect across the web to see what other content they were consuming. Now, you're back to what you can gather from your own channels.

So the question becomes: how do you scale demand gen when you only have your own data to work with? Luna: I want to talk about a specific company that's done this well. Security vendor Darktrace. They sell to enterprise IT and security teams - long sales cycles, big buying committees.

And they've been first-party-data-first for a couple of years now. Lucas: What did they do exactly? Luna: They built what they call 'trial-intent scoring.' Any prospect who signs up for a free trial of their product generates a huge amount of behavioral data - which features they use, how often they log in, what integrations they enable.

Darktrace uses that data to create lookalike audiences for LinkedIn and programmatic channels. Lucas: So instead of relying on a cookie that followed someone from a tradeshow website, they're using actual product engagement signals to find similar prospects. That's smart. And it works because the signal is stronger - someone who's actively using your trial is way more predictive than someone who just visited your pricing page.

Luna: Exactly. And they reported a 34% lift in demo requests from campaigns that used these first-party lookalike audiences compared to their old cookie-based retargeting. That's a real number. Lucas: So the playbook is: capture zero-party data straight from the user - preference centers, interactive content, assessment tools, free trials.

Then enrich it with first-party behavioral data from your site and product. Then use that to build lookalike models for paid channels. You're effectively creating your own data network effect. Luna: But there's a catch.

Most B2B companies have data silos. Website data lives in one system, CRM in another, product analytics in a third. You can't build a unified first-party audience unless you connect those pipes. Lucas: That's the infrastructure challenge.

You need a customer data platform - a CDP - to stitch together anonymous and known user profiles. And you need consent management that's airtight because privacy regulations don't go away just because you're using first-party data. In fact, GDPR and CCPA apply even more directly because you're the data controller. Luna: Yeah - you can't just hoover up first-party data without telling people what you're doing.

Transparency is table stakes now. Lucas: Let's talk about another layer: offline first-party data. Many enterprise companies have sales teams that collect data in person - at events, in meetings, from RFPs. That data is often stuck in spreadsheets or old CRM notes.

But it's incredibly valuable because it's high-intent. Luna: How do you activate that for digital campaigns? Lucas: You can upload your own contact lists into LinkedIn Matched Audiences or Google Customer Match. If you know that a prospect attended your user conference and downloaded a white paper, you can target them with very specific follow-up ads.

But only if you've recorded that data in a structured way. Luna: Right - and that requires sales and marketing alignment on data entry standards. Which is famously hard. Lucas: Hard but doable.

I've seen teams set up simple rules: any business card scanned at a booth gets logged in the CRM within 24 hours, tagged with the event name, and automatically added to a first-party audience segment in their CDP. That's not rocket science - it's process. Luna: So given all this - no more cookies, first-party data is the new oil - what's the one thing a B2B marketer should do this week to start preparing? Lucas: Audit your current data collection points.

Map every single way a prospect can interact with your brand - website, email, events, product trials, customer support. Ask yourself: are we capturing that data in a unified profile? If not, start with one channel - maybe the website. Implement a consent banner that goes beyond 'accept all' and actually lets users choose what they share.

Then use that consent data to start building your first-party audiences. Luna: Small steps. But the clock is ticking. By the end of this year, cookie-based retargeting won't work at all.

Lucas: Right. And the companies that already have a first-party data foundation - like Darktrace - are going to have a massive advantage. They'll be running targeted campaigns while everyone else is still trying to figure out how to rebuild their audiences from scratch.

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