The difference between first-party data and third-party data Skip to content

First-Party vs. Third-Party Data: Key Insights for Shopify Stores

First-Party vs. Third-Party Data: Key Insights for Shopify Stores

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Table of Contents

As a Shopify store owner, it’s essential to understand the difference between first-party and third-party data.

First-party data is gathered directly from your customers, giving you full control over its use and ensuring ethical collection, which helps build trust with your audience.

Third-party data, however, is sourced externally, and using it may raise privacy concerns or potentially violate data protection regulations.

In this blog post, we’ll explore the differences between first-party and third-party data and provide insights on how to use them effectively for improved marketing strategies, customer experiences, and overall store success.

First-party vs. third-party data

The main difference is that first-party data is collected directly from your customers through interactions on your website, email, or social media, giving you more control and relevance. 

Third-party data, however, is gathered by external sources and may be less specific to your audience, raising privacy concerns and potentially being less reliable.

What is first-party data?

First-party data is the information you collect directly from your customers. This data comes from their interactions with your website, app, or other channels you control. 

For example, when someone visits your online store, you can track which pages they view, how long they stay, and what products they add to their cart. You also gather data from actual purchases, customer feedback, and responses to your email campaigns.

As a Shopify store owner, first-party data refers to the information you collect directly from your customers through interactions with your store. The first-party data can include:

  • Customer purchase history: What products do they buy, how often, and at what price?
  • Website behavior: Pages they visit, products they view, and actions they take (e.g., adding items to the cart).
  • Email engagement: Opens, clicks, and interactions with your marketing emails.
  • Customer feedback: Reviews, surveys, and contact form submissions.
Source: PIWIK PRO

This type of data is highly valuable because it is specific to your customers and directly relevant to your business. Since you collect it yourself, you have full control over how it’s used, which makes it easier to comply with privacy laws like GDPR and CCPA

First-party data allows you to create personalized marketing efforts based on real customer behaviour and preferences. For instance, if you notice that a customer frequently browses a particular category of products, you can tailor your recommendations to match their interests.

Overall, first-party data helps you create more effective marketing strategies, foster stronger customer relationships, and drive better business decisions.

Benefits of using first-party data

First-party data offers numerous benefits for Shopify store owners, making it a powerful tool for improving customer experiences and driving growth. Here’s why you should consider leveraging it for your store.

Better Personalization

First-party data allows you to create highly personalized customer experiences, from tailored product recommendations to customized marketing campaigns. 

This increases engagement and the likelihood of conversions.

Valuable Customer Insights

By analyzing how customers interact with your store (e.g., purchase history, browsing behavior), you can gain valuable insights into their preferences, pain points, and buying patterns, allowing you to make informed decisions.

Higher Data Accuracy

First-party data is specific to your business, making it more accurate and relevant.

You have complete control over its quality and can ensure it’s up-to-date and trustworthy.

Improved Marketing ROI

With accurate insights into your audience, your marketing campaigns become more targeted and efficient, resulting in higher conversion rates and a better return on investment (ROI).

Incorporating first-party data into your Shopify store’s marketing strategy provides a competitive edge by offering better personalization, deeper insights, and a more cost-effective way to understand your customers. 

With accurate, ethical data, you can build stronger customer relationships, improve retention, and drive long-term growth for your business.

Challenges of using first-party data

Using first-party data comes with a few challenges for Shopify store owners. 

First, collecting data through tracking systems like Google Analytics or Facebook Pixel can be complex, especially for those unfamiliar with analytics. Ensuring data privacy and compliance with regulations like GDPR and CCPA is also essential to avoid legal issues and maintain customer trust.

As your store grows, managing large amounts of data can become overwhelming. Data needs to be organized, and without the right systems, it’s easy to miss valuable insights. With more data, you might also experience overload, making it hard to separate what’s important.

Data accuracy must be regularly maintained, as customer behavior changes over time. Transparency is key—customers must trust that their data is handled responsibly. Additionally, integrating first-party data with other tools, like email marketing software, can be challenging.

In summary, managing first-party data requires effort, especially in terms of organization, privacy, and ongoing maintenance.

What is third-party data?

Third-party data is collected by external companies that don’t have a direct relationship with your customers. 

These companies gather data from multiple sources, such as websites, platforms, and ad networks, and sell it to businesses like yours. For example, data brokers aggregate information from various websites, while ad networks track user behavior across different sites to build profiles.

For Shopify store owners, third-party data can be valuable for expanding your reach and enhancing marketing efforts. It provides additional insights into customer demographics and interests, helping you target a broader audience. 

However, there are some challenges. Since you don’t collect this data yourself, its accuracy and relevance can be unclear. Additionally, tighter privacy regulations and restrictions on data usage are making it harder to rely on third-party data.

Benefits of using third-party data

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Broader Audience Reach

Third-party data allows you to target potential customers outside your current audience, helping you expand your reach and grow your customer base.

Cost-Effective

Instead of spending time and resources gathering data from scratch, third-party data can give you valuable insights quickly, saving you money on market research.

Improved Campaign Performance

With more comprehensive data, you can better understand customer behavior and preferences, leading to more relevant ads and offers, which can boost conversion rates.

Optimized Product Development

Understanding customer trends and interests can also help inform your product offerings, ensuring that you develop and promote products that are likely to resonate with a larger audience.

However, since you don’t collect third-party data directly, its accuracy and relevance can sometimes be uncertain. 

Additionally, privacy regulations and restrictions on data usage have become stricter, making it more challenging to rely on third-party data for your marketing.

Challenges with third-party data

Using third-party data comes with several challenges for Shopify store owners. First, the accuracy and relevance of the data can be an issue. Since it’s collected from external sources, it might not always match your customer base, making it less effective for your marketing.

Privacy concerns are also a big challenge. With stricter laws like GDPR and CCPA, using third-party data could raise legal issues if it doesn’t comply with privacy regulations. This could damage your store’s reputation or result in fines.

The quality and reliability of third-party data can vary. Not all data is up-to-date or trustworthy, and using inaccurate data can hurt your marketing efforts.

Finally, third-party data lacks customization. Unlike first-party data, which is tailored to your specific audience, third-party data might not be as relevant to your store’s needs.

Overall, while third-party data can help expand your reach, these challenges should be kept in mind when using it for your Shopify store.

Main difference between first-party and third party data

As we’ve discussed earlier, the main difference between first-party and third-party data lies in how and where it is collected.

First-party data is information you collect directly from your customers through interactions on your Shopify store, email sign-ups, or your website. Because this data comes directly from people who have engaged with your business, it is highly relevant and accurate.

Third-party data, on the other hand, is collected by external sources like data brokers or ad networks. This data is often aggregated from a variety of websites, platforms, and apps, and then sold to businesses. 

While it can broaden your audience and enhance targeting efforts, it tends to be less specific and reliable than first-party data, and it may present privacy and compliance risks.

First-party data:

  • Source: Collected directly from your customers or users.
  • How it’s collected: Through interactions on your website, app, email sign-ups, purchases, and surveys.
  • Accuracy: Very accurate because it’s specific to your audience.
  • Relevance: Highly relevant as it’s directly related to your business and customers.
  • Control: You have full control over how the data is collected, stored, and used.
  • Privacy: Ethical and compliant with privacy regulations since it comes from your own customers.

Third-party data:

  • Source: Collected by external companies 
  • How it’s collected: Through tracking users across various websites, platforms, and apps.
  • Accuracy: Can be less accurate, as it’s not specific to your business or audience.
  • Relevance: May not always align with your specific customer base.
  • Control: Limited control over how the data is collected or its quality.
  • Privacy: Can raise concerns around compliance and data privacy regulations (e.g., GDPR).

Platforms that using third-party data

Many marketing tools and platforms use third-party data to enhance targeting, optimize campaigns, and provide insights.

Here are some popular ones:

  1. Google Ads: Google uses third-party data to improve audience targeting for display ads, search ads, and YouTube ads. It combines its own data with third-party insights to reach potential customers based on their behaviors, interests, and demographics.

  2. Facebook Ads (Meta): Facebook leverages third-party data from external sources to refine its audience targeting capabilities. This helps businesses target users with more relevant ads, based on their browsing behaviors and other data points.

  3. HubSpot: HubSpot uses third-party data to enhance its CRM, marketing automation, and email marketing tools. It allows users to segment and target audiences based on data from external sources, such as social media platforms and other data providers.

  4. LinkedIn Ads: LinkedIn integrates third-party data to enhance B2B targeting and audience segmentation. It helps marketers reach professionals based on their interests, job titles, industries, and external behavioral data.

  5. Google Analytics: While primarily focused on first-party data, Google Analytics can integrate with third-party data sources to provide a fuller picture of user behavior and enhance insights into audience demographics and interests.

These platforms rely on third-party data to improve audience targeting, optimize ad spending, and provide more accurate insights into customer behavior. 

However, it’s important to note that the use of third-party data is becoming more regulated, and marketers need to ensure they comply with privacy laws and data protection regulations.

Understanding server-side and client-side tracking

As a Shopify store owner, understanding client-side and server-side tracking is important because both methods impact how you collect, manage, and analyze data about your customers.

  • Client-side tracking allows you to track user behavior in real-time, which helps you understand what visitors are doing on your store (e.g., page views, product clicks). However, it can be blocked by ad blockers, affecting the accuracy of your data.

  • Server-side tracking offers more secure and reliable data collection because it’s less likely to be blocked by privacy tools like ad blockers. It helps ensure more accurate tracking of conversions, user actions, and sales, especially in an increasingly privacy-conscious environment. However, it requires a more technical setup.

Both tracking methods help you improve your marketing, optimize your Shopify store, and ensure better customer targeting. 

Using a combination of both can give you a more complete and accurate picture of your store’s performance.

How Le-Pixel improves your data tracking

Lebesgue Le-Pixel is a tool designed to help Shopify store owners capture and understand their first-party data more effectively. 

Here’s how it works:

  1. Client-Side Tracking: Le-Pixel uses client-side tracking to collect data directly from your customers’ interactions on your website (e.g., what pages they visit, what products they view, etc.). This method provides real-time insights and allows you to track your visitors’ behavior as they navigate your store.

  2. Server-Side Tracking: It also uses server-side tracking, which collects data from your server (backend), bypassing potential issues like ad blockers. This ensures more secure and accurate data collection, even if a user has privacy settings or tools that would block client-side tracking.

By combining both client-side and server-side methods, Le-Pixel gives you a comprehensive and reliable way to collect data. This is especially important for first-party data, which is highly relevant because it’s gathered directly from users who engage with your store.

Additionally, Le-Pixel ensures that the data you collect is accurate, relevant, and compliant with privacy regulations like GDPR. This means you can use the data to improve your marketing strategies and customer experience while staying within legal guidelines.

Key Features of Le Pixel

Le-Pixel combines client-side and server-side tracking to give you a full view of your customer’s behavior across all devices and sessions.

This integration helps you track every action your customers take, whether they’re on desktop or mobile.

By improving on traditional tracking, Le-Pixel delivers accurate metrics, like how long it takes for customers to convert, how many sessions it takes, and what steps lead to a purchase. 

It also ensures your data collection follows privacy regulations, such as GDPR and CCPA, with user consent at every step. With these reliable insights, Le-Pixel helps you make smarter decisions, improve your marketing, and create a better experience for your customers, leading to higher ROI for your store.

The importance of data accuracy in E-commerce

Traditional analytics tools like Universal Analytics (UA) and GA4 often face limitations that can affect the accuracy of your data. 

One of the main challenges is data loss caused by ad blockers and cookie restrictions, which can prevent you from tracking important user actions. 

Additionally, these tools often struggle with incomplete cross-device tracking, making it harder to follow a customer’s journey across different devices. 

Another issue is sampling, where only a subset of data is analyzed, leading to potential inaccuracies, especially with large datasets.

Le-Pixel addresses these problems in a few key ways. It uses server-side data stitching, which ensures that customer interactions are consistently tracked across all devices, providing a complete view of their behavior. The tool is also more resistant to ad blockers, meaning it can track more data, even when users block certain tracking methods. 

Finally, unlike traditional tools that rely on sampling, Le-Pixel tracks every event accurately, ensuring that you have access to the full dataset without missing any important information.

By overcoming these limitations, Le-Pixel ensures you get more accurate data, which leads to better marketing decisions and, ultimately, improved ROI.

Summing Up

To sum up, first-party data is information you collect directly from your customers, making it highly relevant and accurate.

Third-party data, on the other hand, comes from external sources and may not be as reliable or specific to your business. 

Installing Le-Pixel on your Shopify store helps you gather precise first-party data by combining client-side and server-side tracking, overcoming common limitations like ad blockers and incomplete cross-device tracking. 

With Le-Pixel, you get a more complete and accurate view of your customers’ behavior, which leads to better decision-making and improved marketing ROI.

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