Everything You Need to Know About First Party Data in 2024

In a world where consumer trust is everything and privacy regulations are tightening, first party data has become the most valuable currency for marketers. According to a study by Econsultancy and Signal, 82% of marketers said they plan to increase their use of first party data over the next year.

But what exactly is first party data? How is it different from second and third party data? And most importantly, how can you harness its power to supercharge your marketing efforts and customer relationships?

In this comprehensive guide, we‘ll dive into everything you need to know about first party data in 2024. We‘ll explore:

• The key differences between first, second and third party data
• Why first party data is critical for success in a privacy-first world
• Best practices and tools for collecting first party data
• Powerful applications of first party data for personalization and performance
• How to navigate the challenges and future of first party data

By the end, you‘ll have a clear roadmap for putting first party data at the center of your marketing strategy. Let‘s dive in.

Defining First, Second & Third Party Data

Before we explore how to use first party data, let‘s clarify what it is and how it differs from other types of data.

First Party Data
First party data is data that your company collects directly from your own audience and customers. You own this data. Some common examples:

• Website and app behavior (pages viewed, buttons clicked, products added to cart, etc.)
• CRM data (demographic info, purchase history, interactions with sales and support)
• Subscription data (newsletter signups, content downloads, registrations)
• Customer feedback (surveys, reviews, support interactions)

Second Party Data
Second party data is essentially another company‘s first party data that you have access to through a partnership or agreement. For example:

• An airline sharing customer data with a hotel chain to cross-promote travel packages
• A retailer sharing purchase data with a CPG brand to optimize product placement
• Two companies engaging in a co-branded campaign and sharing leads

Third Party Data
Third party data is data aggregated from multiple sources by a company that doesn‘t have a direct relationship with the audience. It‘s usually purchased from large data aggregators. Examples:

• Demographic data (age, gender, income, etc.)
• Behavioral data (websites visited, ads clicked, purchases made across non-owned properties)
• Contact data (emails, phone numbers, addresses)

The key difference is the relationship with the audience. First party data comes directly from your own audience with their consent and knowledge. You have full transparency and control.

Third party data, on the other hand, is collected from many disconnected sources, often without a direct relationship or explicit consent. There‘s a lack of transparency and control.

In a privacy-conscious world, first party data is the most valuable because it‘s collected with consent and fosters trust. As we‘ll see, it also enables you to build the richest, most accurate understanding of your customers.

Why First Party Data is Critical for Modern Marketers

The digital landscape is undergoing massive shifts that have elevated the importance of first party data from a "nice-to-have" to an absolute necessity:

The Cookie Apocalypse
For years, marketers have relied heavily on third-party cookies for cross-site tracking, retargeting, and ad personalization. But in 2024, Google plans to phase out third-party cookies entirely in Chrome, joining Safari and Firefox.

Without third-party cookies, marketers will lose access to much of the behavioral data they‘ve depended on for targeted advertising. First party data collected directly from owned properties will be essential to fill the gaps.

Intensifying Privacy Regulations
The introduction of GDPR in Europe and CCPA in California marked a major turning point in online privacy. These regulations give consumers much more control over their data and impose strict requirements for transparency, consent, and data security.

To stay compliant, marketers need to have a clear chain of custody for the data they collect and use. First party data, collected directly with explicit permission, is the safest path forward. Relying on aggregated third party data is becoming increasingly risky.

The Trust Imperative
Reports of massive data breaches, misinformation campaigns, and opaque data sharing practices have eroded consumer trust in recent years. Consumers are more privacy-conscious than ever before.

A survey by Salesforce found that:

• 84% of customers say being treated like a person, not a number, is very important to winning their business
• 74% are concerned about how companies use their data
• 63% have stopped purchasing from a company whose values didn‘t align with theirs

To earn and keep customer trust in this environment, marketers must be fully transparent about data practices and use data to provide real value. Collecting data directly with clear consent and using it to improve the customer experience is key.

For all these reasons, first party data has become an essential foundation for marketing in 2024 and beyond. Marketers who don‘t prioritize it risk falling behind.

How to Collect First Party Data

So how can you actually collect first party data? There are many tactics and tools available. Let‘s break it down.

Behavioral Data Collection
One of the richest sources of first party data is a user‘s interactions with your owned digital properties – your website, app, help center, etc. Tracking these behavioral signals can tell you a lot about a user‘s interests, preferences, and friction points.

To collect behavioral data, you need to implement an event-based tracking system on your digital properties. Some popular options:

• Segment – a customer data platform that makes it easy to collect user events from your website and app via a single API. It also integrates with dozens of other tools.
• Snowplow – an enterprise-grade event tracking platform that gives you full control and ownership over your data.
• Google Tag Manager – a tag management system that allows you to quickly deploy tracking pixels and scripts on your site. It integrates with Google Analytics.
• Heatmapping tools like Hotjar that visually represent where users are clicking and scrolling.

The goal is to track key events like page views, button clicks, form submissions, purchases, and feature usage. By centralizing this data in a CDP like Segment, you can build a complete view of each customer‘s interactions across channels.

Voice of Customer Data
Another valuable source of first party data is direct feedback from your customers. This "voice of customer" data includes things like:

• Onsite and in-app surveys
• Customer support interactions
• Product reviews and testimonials
• Net promoter score (NPS) surveys
• User research studies

This data can help you surface customer pain points, unmet needs, and opportunities for improvement. It adds rich qualitative context to behavioral data.

Some top tools for collecting voice of customer data:

• Qualaroo – a survey tool that allows you to target onsite surveys to specific user segments and sync response data to your CRM or CDP.
• Delighted – an NPS survey tool that makes it easy to collect and analyze customer feedback.
• Gong.io – an AI-powered platform that analyzes customer calls and meetings to surface insights on common questions, objections, and sentiment.
• UserTesting.com – an on-demand user research platform for gathering video feedback on prototypes and live products.

Other First Party Data Sources
Beyond behavioral and voice of customer data, there are many other sources of first party data to tap into:

• CRM data – demographic data, purchase history, customer service interactions, etc.
• Subscription data – newsletter signups, gated content downloads, webinar registrations, etc.
• Loyalty programs – data on points earned and redeemed, tiers achieved, rewards claimed, etc.
• Social media – interactions with your brand‘s social media posts, messages, and ads.
• Point-of-sale data – data from offline purchases and interactions.

By integrating these disparate sources into a central customer data platform, you can build the most complete, accurate view of each customer.

Harnessing First Party Data for Personalization & Performance

Collecting first party data is just the first step. The real value lies in putting that data to use to deliver better, more personalized customer experiences. Here are some powerful applications:

Predictive Personalization
First party data can power highly relevant, one-to-one recommendations across channels. Some examples:

• Spotify‘s "Discover Weekly" playlists surface new music based on a listener‘s past song choices and skips.
• Netflix‘s hyper-personalized homepage serves up content recommendations based on viewing history.
• Amazon‘s "Customers who bought this item also bought…" section drives 35% of total sales.

By combining a user‘s behavioral data (pages viewed, songs listened to, products purchased) with data from lookalike audiences, you can predict what a user is most likely to engage with next.

The more first party data you collect over time, the smarter these recommendations become. McKinsey found that companies that leverage customer data outperform peers by 85% in sales growth and more than 25% in gross margin.

Dynamic Content Optimization
First party data can also be used to dynamically adapt content and offers on your website or app to each visitor. For example:

• Language can be tailored based on a user‘s browser settings or location data.
• Featured products or articles can change based on past views and purchases.
• Promotions and pricing can adjust based on loyalty status or customer lifetime value tier.
• CTAs and forms can be hidden, shown, or pre-filled based on what‘s known about a user.

This type of real-time personalization has a huge impact. One study found that in-house marketers who are personalizing their web experiences see, on average, a 19% uplift in sales.

Laser-Targeted Advertising
While the loss of third-party cookies makes behavioral advertising harder, first party data provides a powerful alternative.

By building robust first party audience segments, you can target paid media to very specific groups based on factors like:

• Products or content viewed
• Frequency and recency of visits
• Email engagement
• Lifetime value tier
• Lookalike qualities to your best customers

This allows you to get the right messages in front of the right people at the right stage of consideration, driving higher ROI on ad spend. According to Google, marketers who use first-party data for key marketing functions achieved up to a 2.9X revenue uplift and a 1.5X increase in cost savings.

Proactive Retention Marketing
First party data is also a gold mine for increasing retention and preventing churn. By analyzing behavioral data, you can spot signs that a customer is losing interest or encountering friction, such as:

• Decreased frequency of logins or purchases
• Declining email open rates
• Lots of interactions with support or "Cancel Subscription" button

With this insight, you can proactively intervene with a targeted win-back offer, a check-in from customer support, or an invitation to a reengagement campaign.

According to Bain & Company, a 5% increase in customer retention can increase profits by 25% to 95%. First party data is key to understanding churn risks and boosting retention.

Overcoming the Challenges of First Party Data

As powerful as first party data is, it also comes with some significant challenges:

Data Silos
Most companies have first party data living in many disconnected systems – web analytics, CRM, email service provider, support desk, etc. This makes it extremely difficult to get a single view of the customer and execute coordinated campaigns across channels.

The solution is to invest in a customer data platform (CDP) that can ingest data from all your systems and unify it into rich customer profiles. CDPs also make it easy to synch data to your various execution tools for email, advertising, personalization, etc.

Identity Resolution
Another challenge is linking data across devices and channels to the same user. How do you know that the customer who buys from you in-store is the same one reading your emails and visiting your website?

The key is identity resolution. By collecting identifying information like email addresses or phone numbers at as many touchpoints as possible, you can start to stitch together a complete view of each individual customer across all their interactions, both online and offline.

Data Privacy & Security
Of course, collecting first party data comes with great responsibility. You need to have rigorous practices in place to protect customer data and stay compliant with privacy regulations like GDPR and CCPA.

This starts with being fully transparent about what data you‘re collecting and how you‘re using it. Give customers clear options to opt out of tracking or data sharing.

It also requires strict data governance to ensure that data is only being used for permitted purposes and isn‘t being shared with unauthorized parties. Invest in secure data infrastructure and limit access to sensitive data.

Deriving Insights
Finally, collecting first party data is only half the battle. You also need to be able to analyze it to derive meaningful insights you can act on.

This requires a mix of data science and business intelligence skills. Consider investing in a dedicated analytics team who can run experiments, build models, and surface actionable recommendations.

Look for opportunities to leverage AI and machine learning to uncover hidden patterns in large datasets. The goal should be to make your first party data actionable, not just to hoard it.

The Future of First Party Data

Looking ahead, the shift to first party data will only accelerate. As privacy regulations continue to evolve and consumers become more selective about who they trust with their data, companies that can collect and harness first party data will have a major competitive advantage.

At the same time, advances in machine learning and AI will make first party data even more valuable. Imagine being able to anticipate a customer‘s needs before they even arise and serve up the perfect message, offer, or experience in real-time. That‘s the promise of predictive personalization powered by first party data.

Of course, this future isn‘t without risks. As the battle for first party data heats up, companies will need to work hard to earn and keep customer trust. Those that abuse data will face major backlash.

We‘re also likely to see a rise in data collaborations and second party data partnerships, especially within industries. Think of a group of non-competitive retailers pooling their first party data to better understand customer behavior across brands. These types of data coalitions will help companies expand their view of the customer without running afoul of privacy concerns.

Conclusion: Getting Started with First Party Data

The age of third party data is coming to an end. Companies that want to thrive in a privacy-first world need to start prioritizing first party data now.

Of course, making the shift is easier said than done. It requires significant investments in tools, talent, and new ways of working. But the rewards – in terms of customer loyalty, retention, and lifetime value – are well worth it.

If you‘re just getting started with first party data, here are some key steps to take:

1. Audit your existing data collection practices. What first party data are you already collecting? Where does it live? How is it being used today?

2. Get a CDP in place. Investing in a customer data platform is foundational to unifying your data and activating it across channels.

3. Implement website and app tracking. Behavioral data will be one of your most valuable assets. Make sure you have robust event tracking in place.

4. Launch a voice of customer program. Start collecting direct feedback from your customers through surveys, interviews, and other listening posts.

5. Educate your org on data privacy. Make sure everyone understands the importance of transparency, consent, and secure data handling.

6. Pilot personalization use cases. Pick 1-2 high impact use cases to test, like a personalized recommendation engine or churn prevention program.

7. Measure and optimize. Rigorously measure the impact of your personalization efforts on core KPIs. Double down on what‘s working and sunset what‘s not.

No matter your industry or business model, first party data needs to be at the center of your customer strategy in 2024 and beyond. It‘s the key to building deeper, more trusting relationships with customers and driving sustainable growth.

The companies that embrace it will be primed to lead the pack. Will yours be among them?