Most articles on cookieless marketing open with a countdown to the death of the third-party cookie. That countdown has already been wrong twice. Google shelved its forced Chrome deprecation plan in July 2024 and moved to a user-choice model instead, so third-party cookies haven’t disappeared on a fixed date the way Safari’s and Firefox’s already have.
But treating that as good news misses the point. Safari and Firefox have blocked third-party cookies by default for years, consent requirements under UK GDPR keep tightening regardless of what any browser does, and match rates on paid platforms have been eroding steadily in the background. First-party data isn’t a hedge against a future deadline. It’s the fix for a problem that’s already showing up in your reporting.
It’s worth being precise about where things actually stand, because a lot of strategy gets built on an outdated version of events. Safari’s Intelligent Tracking Protection has blocked third-party cookies by default since 2020, and Firefox’s Enhanced Tracking Protection followed in 2019. Combined with privacy-focused browsers and widespread ad-blocker use, a substantial share of web traffic has been effectively cookieless for years.
Chrome is the outlier, not because it protects cookies, but because it never followed through on removing them. Google finalised that reversal in April 2025, confirming it would keep existing cookie controls in Chrome rather than roll out a forced deprecation or even a new standalone consent prompt. Then, in October 2025, Google retired the Privacy Sandbox APIs it had spent six years building as the cookie replacement, Topics, Attribution Reporting and Protected Audience among them, citing low adoption. The technology built to replace third-party cookies is gone; the cookies it was meant to replace are staying.
That’s not a reason to relax. It’s a reason to stop waiting for a platform-level fix that was never going to arrive.
The practical effect for marketers is close to what a full deprecation would have caused anyway. A meaningful and growing share of users are opting into stricter privacy settings, either through Chrome’s own controls or by using a browser that blocks tracking outright. Regulatory pressure is doing the rest: UK GDPR and PECR require consent to be specific, informed and revocable, which limits how much third-party tracking can be relied on even where it’s technically still available.
What this means in practice:
First-party data is information you collect directly from your own audience, through your own website, app, CRM, point of sale or customer service channels, with their knowledge and consent. It includes things like email addresses and phone numbers from form submissions, purchase history, on-site browsing behaviour, loyalty programme activity, and account or login data.
It’s worth distinguishing this from two terms it often gets confused with:
The distinction matters because a lot of “first-party data strategy” advice conflates all three. A newsletter sign-up and a purchased audience segment are not the same asset, and they don’t hold up the same way when a platform tightens its data-sharing policies.
Three things make first-party data more valuable than it was five years ago, and none of them are tied to Chrome’s roadmap.
For the sectors we work in, hospitality, professional services, finance and eCommerce, this shows up differently in the day-to-day. A hospitality brand with a loyalty programme has a direct line to repeat guests without depending on retargeting cookies. A professional services firm gating a market report has qualified leads with explicit contact permission, rather than an anonymous visitor it hopes to catch with a cookie-based remarketing ad three days later.
Collection isn’t one tactic, it’s a set of touchpoints that need to work together. Here’s how we typically structure it for clients.
Standard lead and newsletter forms are still the most direct collection method, but most underperform because they ask for too much too soon. We keep initial forms short, name and email is often enough, and use progressive profiling to gather additional detail (job title, company size, interests) across later interactions rather than in one long form that depresses completion rates.
On-site behavioural data matters too. Pages viewed, products browsed, time on site and search queries used on your own site are all first-party data, and most CMS and analytics platforms already capture this by default. The gap we usually find in GA4 audits isn’t collection, it’s that this data sits in GA4 and never makes it into the CRM record where it could actually inform segmentation.
Gated content, whitepapers, market reports, calculators, templates, works well for B2B and professional services clients specifically because it exchanges something of real value for contact details, rather than asking someone to hand over an email address for nothing in return. The mistake we see most often is gating content that isn’t actually valuable enough to justify the exchange, which produces low-quality leads who unsubscribe as soon as they’ve downloaded the file.
Progressive profiling solves the trade-off between form length and data depth: ask for the minimum on first contact, then use subsequent forms, preference centres or account settings to build out the profile over time.
Loyalty programmes are one of the strongest first-party data assets available because they give customers an ongoing reason to stay logged in and identified, rather than browsing anonymously. This is particularly effective in hospitality, retail and travel, where repeat purchase behaviour, spend patterns and preferences accumulate into genuinely useful segmentation data over time, not just a one-off email capture.
The data only pays off if it’s structured for use. A loyalty programme that tracks points but doesn’t feed purchase history and preferences into a usable customer profile is collecting data without activating it, which is a common gap in otherwise well-designed programmes.
None of the above matters if the data collected through forms, gated content and loyalty programmes stays siloed in separate systems. CRM integration, connecting your website, ad platforms, email tool and point of sale into a single customer record, is what turns scattered data points into something you can actually segment and activate against.
A well-configured Google Tag Manager setup helps here too, pushing richer data-layer context, like logged-in status or CRM attributes, into GA4 so on-site behaviour and CRM records stay aligned rather than living in separate silos.
This is also where data hygiene has to be built in from the start: consistent field naming, deduplication rules, and a clear record of consent basis for each data point. Clients who skip this step end up with a CRM full of data they can’t legally or practically use, which defeats the purpose of collecting it carefully in the first place.
Collection is only half the strategy. The value shows up in activation.
First-party data feeds directly into Meta’s Conversions API, Google Customer Match and LinkedIn’s Matched Audiences, letting you build lookalike and retargeting audiences from your actual customer base rather than third-party cookie pools that are shrinking by the month. This is where a well-run paid social programme benefits most: server-side tracking, sending conversion data from your server rather than relying solely on a browser pixel, is increasingly the more reliable route, since it isn’t affected by ad blockers or browser-level cookie restrictions in the same way.
First-party data supports email segmentation based on actual purchase or engagement history rather than broad demographic guesses, on-site personalisation that shows returning visitors different content based on past behaviour, and lifecycle marketing that adjusts messaging based on where a customer actually sits in their relationship with your brand rather than treating every contact the same.
The connecting thread is that activation only works as well as the CRM integration underneath it. A well-built first-party data collection strategy that never gets connected to the platforms doing the actual targeting is a wasted asset.
If you’re building this from scratch: CRM integration first, then collection, then activation. Sophisticated collection on top of a CRM that can’t clean or segment data just moves the problem downstream. If you haven’t reviewed your tracking setup recently, our guide on how to perform a GA4 audit is a good place to begin, since most first-party data gaps trace back to tracking issues, not a lack of willing visitors.
If you’d rather talk it through than start from a blank page, get in touch and we can look at what’s already in place and where the quickest wins are.
A CRM is typically built around individual customer records and sales or service interactions, while a CDP is designed to unify data from multiple sources, website, ads, email, point of sale, into a single customer profile for segmentation and activation. Many businesses start with a CRM and only need a CDP once data sources multiply.
It depends on the scale and nature of the processing. A DPIA is generally required under UK GDPR for higher-risk activity, such as large-scale profiling or tracking, so it’s worth checking against the ICO’s guidance rather than assuming standard form collection needs one.
There’s no single fixed period, UK GDPR’s data minimisation principle means data should only be retained for as long as it’s needed for the purpose it was collected for. This needs defining per data type as part of a retention policy, not left open-ended.
Any processing that relied on that consent needs to stop, and the data should be deleted unless another lawful basis applies to it. This is one of the reasons consent basis needs to be recorded clearly against each data point at the point of collection.
No, they’re related but distinct. Cookieless tracking refers to measurement methods (like server-side tracking) that don’t depend on third-party cookies, while first-party data is the actual information collected directly from your audience. You can have one without the other.