What is first-party data? A guide to first-party data strategies

The industry spent six years planning for the death of the third-party cookie. It didn't happen. Google kept cookies in Chrome, retired the replacement technology it had been building since 2019, and the deadline everyone was working toward quietly dissolved.

What did change is how much those cookies return. Between browser defaults, consent banners, and 20 U.S. states with privacy laws on the books, a growing share of your clients' audience is invisible to cross-site tracking. Nobody switched that audience off. It's that each of those layers takes a slice, and the slices add up. The data your clients collect themselves is the part that still works.

This guide covers what counts as first-party data, how to collect it without annoying anyone, and how to report on it so clients see the value. Let's dig in.

Key takeaways

• First-party data is information your clients collect directly from their own customers, and it's the one signal that browser defaults, consent banners, and 20 state privacy laws don't erode.

• Google kept third-party cookies in Chrome in April 2025 and retired most of the Privacy Sandbox APIs in October 2025, so there is no successor standard left to plan around.

• Zero-party data is the part a customer types in themselves, and it's a deeper form of first-party data collected through quizzes, preference centers, wishlists, and surveys.

• The practical collection methods are lead generation forms, surveys and quizzes, reviews, account registration, and checkout questions, each traded for something the customer actually wants.

• A client running 12 marketing channels has first-party data sitting in 12 places, which makes consolidated reporting the first real job, not the last.

What is first-party data?

First-party data, often abbreviated as "1P data," is information collected directly from your clients' interactions with their customers. That includes the behavior observed on your clients' own websites.

It stands out because it's accurate and cost-effective, and because it supports personalized marketing that stays sensitive to customer privacy. It's also owned outright by your agency or your client, which gives you full control over how it's used. No external provider sits between your client and their own audience.

Why first-party data matters more every year

If your agency isn't helping clients collect and use first-party data, you're building campaigns on a signal that degrades every year. Customers still expect relevant marketing, but the cross-site tracking that used to power it returns less each quarter.

First-party data comes from site visitors, email subscribers, and customer interactions your client owns. It's collected with explicit consent, which makes it defensible under GDPR, CCPA, and the 20 state privacy laws now in effect. And it reflects what a customer did, not what a model guessed about them.

Google, Apple, and every major platform keep adding restrictions to tracking. None of them restrict the data a customer gives your client directly.

The benefits of first-party data

As cross-site signals continue to degrade, first-party data is what's left standing. Here's what it gives you:

• More personalized marketing: Refine audience targeting and message based on what customers actually did, not modeled assumptions.

• Greater data control: Your clients own their first-party data outright, with no dependency on an external provider.

• Stronger compliance: It's collected directly with consent, which is what every current privacy law requires.

• Higher ROI: Sharper ad targeting and retargeting mean the same budget works harder.

• Better customer relationships: Transparent collection and relevant experiences build trust.

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Zero-party data vs. first-party data

Zero-party data is information that is voluntarily and deliberately shared with a website or business. It's the fashionably late newcomer to the data collection party, and it isn't so much its own distinct category as a more in-depth form of first-party data. (Whether that warrants its own category is still up for debate.)

The difference sits in who does the work. First-party data is based on observed customer interactions: website visits, email opens, purchase history, and behavioral trends. It requires interpretation, and in return it gives you a deeper read on how people actually behave. Zero-party data is what the customer typed in themselves, so there's nothing to infer.

Liking a particular Spotify playlist is first-party data. Setting your music genre preferences when you sign up to the app is zero-party data.

Using both together strengthens audience segmentation, improves engagement, and keeps you inside data privacy laws.

Why zero-party data is worth collecting

A zero-party data strategy earns its place for a few reasons:

• The ability to customize your clients' messaging and experiences for each specific customer.

• The data is willingly supplied by the user, showing a higher level of engagement with the brand.

• The potential of getting new ideas for content creation, since you're hearing about specific pain points and customer insights.

• Having a deeper understanding of who your clients' customers actually are, and what categories they fit into.

How agencies put zero-party answers to work

Knowing what zero-party data is matters less than knowing what to do with it. Here are practical ways to use it for your clients:

• Run a quick quiz or survey to shape a better website experience, such as asking for a customer's country or gender identity to personalize the products shown on their next visit.

• Ask about product preferences so the right lines get featured, like answering questions about makeup style to be served the ideal lipstick shades.

• Personalize a specific offer, such as discounts for frontline or healthcare workers.

• Use zero-party data like wish lists to create more effective marketing campaigns.

• Offer a "dynamic gift guide" that helps customers shop better through the preferences they've already given.

• Use zero-party data collected over time to optimize paid campaigns with demographic, geographic, and other segmentation options.

• Identify and develop strategic partnerships with companies whose target audience or interests align with your client's.

First-party data vs. second-party data vs. third-party data

The table below shows some of the biggest differences between these types of data:

What are the differences between each data type?

The main difference between first-party and second-party data is who's using it at the end of the day. The two are collected the same way, and ownership is what separates them. Clients control their first-party data, while second-party data is shared or sold.

With first-party data, your clients collect it to use it themselves. Second-party data is collected by a company and sold on. In other words, the minute your client decides to sell their first-party data to someone else, it becomes second-party data to whoever is buying it.

Third-party data, on the other hand, is collected across websites, apps, and different platforms by a third-party entity such as marketers, advertisers, or social media platforms. That data is then combined into aggregate data instead of individual data to create detailed audience profiles before being sold on.

Third-party cookies are the means by which third-party data is collected and tracked across the internet.

The short version, worth keeping in front of a client:

• Zero-party data = Collected from a customer who has willingly shared it

• First-party data = Collected by observing behavior directly

• Second-party data = Collected by a company, but then shared with a third party

• Third-party data = Collected across platforms and then aggregated

Third-party data hasn't disappeared, and at this point it probably won't. What it's lost is reliability, and that's the part that shows up in your client reporting as attribution drift and shrinking retargeting pools. Zero-party and first-party data are where the accuracy moved.

Examples of first-party data

First-party data is gathered directly from your clients' interactions with their customers across various touchpoints. It's valuable because it gives you genuine insight into customer behavior and preferences.

Here are some key examples:

• Website analytics (site visitors, page views, session duration)

• Customer purchase history (transactions, cart activity, repeat buyers)

• Email engagement (opens, click-through rates, opt-ins)

• Social media interactions (followers, comments, shares)

• CRM data (customer profiles, support history, past inquiries)

• Loyalty programs (point redemptions, repeat visits, membership growth)

How to collect first-party data

Every method below trades something the customer wants for something your client needs. That trade is the whole mechanic, and the methods that fail are the ones that skip it.

1. Lead generation forms

Some write off lead generation forms as the realm of B2B, real estate, and SaaS, but they're wrong and potentially missing out on a goldmine of first-party data. At the bare minimum, lead generation forms collect pertinent details like name and email address, and that's not all.

Once you update your client's mailing list, the people who filled out those forms will provide you with even more valuable data, such as CTR, open rate, and conversion rate.

Lead generation forms are also easy to create and automate. The trick is to provide enough value to entice someone to fill one out. A few good ways to do that:

• Hosting a contest or giveaway

• Providing something for free in exchange for information, like an eBook, newsletter, webinar, or downloadable template

Name, email address, and phone number are all first-party data. Going one step further and asking for preferred pronouns, preferred contact method, or even the time of day or day of the week they'd like to be contacted turns the same form into zero-party data.

2. Surveys, polls, and quizzes

Surveys, polls, and quizzes are excellent ways to capture first-party data. They're also where agencies get to be creative, because there's far more room to make them engaging than a simple lead gen form.

Remember how much fun those Buzzfeed quizzes used to be? The ones with click-bait titles like "Which Disney Princess Are You?" They were fun to fill out, extremely shareable, and the volume of first-party data they generated is genuinely hard to imagine.

The same format works for your clients. A "Which Jewelry Icon Are You?" quiz that asks for favorite colors, styles, and celebrities gives a personalized answer back to the customer and detailed preference data to your client. Remind people to share their result on social media and you pick up brand awareness on top.

Surveys go deeper. Offer an incentive, like a chance to win a gift card, to get the most answers possible. Ask for their opinion on the brand, their customer service experience, or what else they'd like to see offered in future. Used properly, this is one of the best sources of qualitative data your client will ever have.

Social polls are the low-effort version. An Instagram Story poll asking about favorite seasons, colors, or styles is informal, takes minutes, and often gives you the pulse check that shapes a new launch.

Even in an era of increasing privacy concerns, people are willing to share their data if you make it fun. It's on marketers and agencies to make it worth their while.

3. Customer feedback and reviews

Most people trust customer reviews more than anything a company will tell them directly. Reading reviews is a big part of the purchasing process, and it's also a strong source of first-party data.

Companies go out of their way to ask their customers for feedback and reviews, and your agency should too. Those reviews carry detail you can't get anywhere else: how customers used the product or service, what they liked, and what they didn't.

There's an offline version of this as well. Including a request for a review with a product, alongside a personalized note that's handwritten where possible, helps your clients' brands stand out and tends to produce more authentic reviews online.

4. New user registration and preference centers

When a new customer signs up or registers for an account, there's plenty of data available to collect. The standard fields are name, contact details, age, gender identity, and region. You can go a step further by asking about personal style, product preferences, or audience segment, such as "new mamas" or "expecting parent."

The preference center is where that keeps paying off. It tells you what type of communication someone prefers, SMS versus email, and which categories they want, such as Product Tips but not Marketing Updates. That's some of the most directly usable retargeting information available.

5. Wishlists and product preferences

Wishlists are one of the most valuable forms of zero-party data. They're curated lists of your customers' favorite products, which gives you a read on their style, preferences, and general budget in one place. Amazon does this well with its AI-powered homepage, forever reminding you of what you were saving or looking at last so you can keep shopping seamlessly.

Stated product preferences work the same way and are quicker to collect. A jewelry store wants to know whether a customer prefers silver or gold. A phone case brand wants to know Android or iOS. A makeup brand wants to know whether a customer is clean-beauty-obsessed. One question, one usable segment.

6. Checkout questions and offer popups

Ever been asked for your ZIP code in the checkout line? That's a company gathering zero-party data. Be careful about gathering too much at this point, though, because the focus on acquiring data shouldn't get in the way of the checkout itself.

Coupon offer popups are the online equivalent. They can feel intrusive when you're shopping and being bombarded by them, but they still hold value. Offering 10-15% off a first purchase gets your clients key information in exchange. The most common ask is an email address, and there's usually room to ask for more.

After clicking a promotional pop-up, Cetaphil asks for a whole host of information, especially what kind of skincare the customer is most interested in. This provides more valuable consumer data for later retargeting.

7. Goals, purchase timelines, and birthdays

Collecting a customer's actual goals is one of the more interesting things you can do with a form. Those goals range from "scale my business" to "exercise more regularly," business or personal, and they give you a real look into your customers' pain points and situations.

Purchase timeline works the same way and is easier to ask. In a quiz, intake form, or survey, ask whether they're looking to purchase today, this week, this month, or this year. You can then retarget at the corresponding time. It also helps your client's sales team decide which leads to follow up with first, and which can go into a nurture stream until the timing is right.

Birth dates are worth asking for in return for a birthday surprise. Sephora is the best-known example: each year during their birthday month, members stop by the store to collect an exclusive free gift set that rotates annually. Sephora gets the birthday information, and it pulls the customer into the store, where new products can catch their eye on the way to the checkout counter.

Tools that help you collect and act on this data

Plenty of tools exist for gathering zero-party and first-party data and acting on it. From email surveys to on-page popups, email automation sequences, optimized shopping experiences, and social quizzes, here are a few of the platforms doing this well:

• MailChimp

• HubSpot

• Salesforce

• Keap

• HighLevel

• ActiveCampaign

• Constant Contact

• Klaviyo

• Shopify

How to use first-party data in marketing and advertising

First-party data is one of the most valuable assets for measuring the effectiveness of client campaigns. It provides accurate customer profiles, tracks the customer journey, and refines audience insights in a way third-party data providers can't match. Here's how to put it to work.

Track engagement metrics from website visitors

Analyze behavioral data from site visitors to understand how users interact with your client's content. Metrics like page views, time spent on site, and bounce rates show what's working and where to optimize.

Measure conversion rates and customer purchase history

Campaign success ultimately comes down to revenue and conversions. Tracking historical data on purchases connects marketing efforts to actual sales. Look at trends in first-party customer data to see which campaigns drive action.

Analyze email engagement

First-party data from email campaigns, such as open rates and click-through rates, reveals how well your messaging connects with the target audience. Compare engagement between segments and use predictive analytics to optimize future campaigns.

Assess social media engagement from followers

Social media platforms provide another source of first-party audience data. Track comments, shares, and interactions from followers to measure engagement levels. Insights from direct interactions help refine messaging and improve campaign performance.

Leverage loyalty program data

If your client runs a loyalty program, monitor how campaigns impact customer retention. Look for increased point redemptions or program sign-ups to flag campaign success. Loyalty insights are also where first-party data monetization opportunities show up, because they let you create genuinely personalized experiences.

Use CRM data for first-party data analysis

A well-managed customer relationship management (CRM) system contains first-party data sources that help assess a campaign's impact. Look at changes in lead quality, customer inquiries, and retention rates to gauge long-term success.

Evaluate data quality and accuracy

Campaign success depends on data accuracy. First-party data is more reliable than third-party audience data because it comes from a direct relationship between the company and its customers.

Segment and target more effectively

First-party data enables precise audience segmentation, which improves targeting. Test different messaging and run A/B tests on a first-party data programmatic marketing strategy to fine-tune your efforts.

Activating first-party data gives agencies a precise view of what's driving client success. You create more effective and measurable campaigns by collecting data directly from users, staying compliant with privacy laws, and integrating those insights into the marketing strategy.

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Building your first-party data strategy

A solid first-party data strategy helps you maximize the value of the data you collect while staying compliant with data privacy laws. The right approach strengthens customer relationships, improves targeting, and gives marketing campaigns better inputs.

Here's how to build one that works.

1. Define your data goals

Start by identifying what you want to achieve with first-party data collection. Are you optimizing audience insights, improving customer journey mapping, or enhancing predictive analytics for clients? Clear objectives determine which data points to focus on and how to structure your analysis.

2. Identify your first-party data sources

First-party data comes from multiple touchpoints. Make sure your client collects information from:

• Website visitors (page views, form fills, session duration)

• Customer purchase history (transactions, cart activity, repeat purchases)

• Social media followers (engagement metrics, ad interactions)

• Email interactions (open rates, click-through rates, opt-ins)

• Loyalty programs (sign-ups, redemptions, activity levels)

• Customer service interactions (support requests, chatbot engagements)

A customer data platform (CDP) will help centralize this information, making it easier to analyze and use.

3. Ensure data compliance and consent

Data privacy is non-negotiable. Follow GDPR, CCPA, and other regulations by obtaining explicit consent before collecting customer data. Make it clear how data sharing works, and be transparent about how you collect and store information.

4. Integrate first-party data across channels

Integrate data with your client's CRM, email marketing platform, and advertising tools to build accurate customer profiles and sharpen targeting. Connecting the dots between different data sources also strengthens the agency-client relationship.

5. Use data to personalize customer experiences

Segment audiences based on their behavioral data, interests, and purchase history, then use it to:

• Serve tailored ads that align with past interactions.

• Optimize email campaigns with dynamic content.

• Improve website experiences by delivering content that matches user behavior.

• Strengthen retargeting efforts using first-party data instead of third-party data.

6. Measure and optimize your data strategy

A first-party data strategy isn't static. Keep analyzing data quality and refining the approach. Track which data sources provide the most actionable insights and identify where to improve. New monetization opportunities emerge as you find better ways to apply this data for targeting and engagement.

A strong first-party data strategy means more effective marketing campaigns and a clearer position in a privacy-first world. Using data responsibly builds customer trust, improves marketing performance, and future-proofs your agency against the next platform shift.

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What actually replaced third-party cookies

In April 2025, Google decided to keep third-party cookies in Chrome and dropped the user-choice prompt it had promised. In October 2025, it retired most of the Privacy Sandbox APIs built to replace them, citing low adoption, and the UK's competition regulator closed its four-year investigation the same week.

So there's no successor standard coming. What agencies have instead is a set of practical options, and most of them run on data your clients already own.

First-party cookies

First-party cookies were never part of the phase-out, and they aren't going anywhere. They're the ones that remember login details, user preferences, and items in a shopping cart, and they collect the first-party data this guide is about.

The work now is connecting that data across channels. A client running 12 marketing channels has first-party data sitting in 12 places, which is a reporting problem before it's a strategy problem.

The Privacy Sandbox, and what happened to it

The Privacy Sandbox was Google's six-year effort to replace cross-site tracking with browser-level APIs. Topics, Protected Audience, and Attribution Reporting were the ad-facing pieces, and all three are gone. Chrome began deprecating them in January 2026, with full removal targeted for July 2026.

Three technologies survived: CHIPS for cookie partitioning, FedCM for federated login, and Private State Tokens for fraud signals. None of them measures a conversion. If your agency or your clients built anything on Topics or Attribution Reporting, treat that work as sunset.

Server-side collection

Server-side tracking moves data collection off the browser and onto your client's own infrastructure, which gets around ad blockers and browser restrictions on client-side scripts. It doesn't get around consent, and it shouldn't. What it does mean is that the data a consenting visitor generates arrives intact instead of getting dropped by a tracking-prevention rule.

Contextual advertising: targeting the page, not the person

Contextual advertising never needed cookies. It targets ads based on what a page is about rather than who's reading it, which is why it came back into favor while the industry waited on a cookie replacement that never shipped.

Behavioral advertising uses data collected from cookies to target based on past user behavior. Contextual targets based on the content and context of the page itself. Examples include:

• Headphone ads on a music blog

• A helmet ad on a cycling video

• A toolbelt ad on a carpentry forum

Welcome to the first-party data party

First-party data is the most valuable data your clients have. It's free, it's specific to their business, and they own it.

Your agency doesn't have to dive all the way into the zero-pool-party either. Start small and collect one piece at a time, building each customer profile as you go. Try an exit survey to find out why a prospect didn't buy, add two or three interest-based questions, and you're on your way. Start now through lead gen forms, surveys, quizzes, and customer reviews, and you'll have a year of history built up before a client thinks to ask for it.

Then bring it together in one place. The more complex the data gets, the more it matters that you can communicate a client's campaign results in a way they'll understand, which is what client reporting tools like the AgencyAnalytics campaign dashboard template are built for. Reporting and data storytelling stop being a weekly scramble, and marketing agency reports, dashboards, and templates arrive white-labeled and automated.

AgencyAnalytics pulls first-party data from 85+ marketing platforms into a single dashboard, normalized across every client and channel. Get your campaign dashboard template set up in minutes. Start your free 14-day trial.