The Ideal First Party Data Strategy in a “Cookieless Future“

The future of customer data collection is facing a significant change as the use of Third Party Cookies is increasingly restricted. Google has announced plans to block these cookies in the near future. This leads to a “Cookieless World”, where reading and setting Third Party Cookies will no longer work.

The disappearance of Third Party Cookies poses a major challenge for digital marketing, as many companies have relied on this source of data. In this context, First Party Data becomes even more important. Companies should now focus on a sensible First Party Data strategy to become more independent from third parties. In our blog post, you will learn how this works and how Teavaro can support you.

Use First Party Data efficiently

The essencial in Brief:

The future of marketing is changing: Third Party Cookies are losing relevance, while First Party Data is gaining importance.
Companies should now focus on a sensible First Party Data strategy to become more independent from third parties
Especially important for smart use of First Party Data are the correct profiling based on different types of usage data, maximum addressability, and connected attribution of customer data.

What is First Party Data?

First Party Data are essential pieces of information that companies collect directly from their customers, mostly through their own digital channels such as websites, email lists, social networks, mobile applications, and CRM systems. The importance of this data lies in its uniqueness to each company, providing valuable insights into customer behavior, preferences, and interactions.

An additional advantage of First Party Data is data protection: Since companies manage this data themselves, they are less susceptible to privacy issues and violations of policies such as GDPR, unlike data from third parties. In short, First Party Data are a powerful tool for companies to understand and improve their customer relationships while maintaining the privacy and security of user data.

Index:

What is First Party Data?

Index:

What is first party data?
What is the difference between zero, first, second and third party data?
First party data: opportunities and challenges
Collecting and analysing first party data: key considerations
First party data and data protection: what to consider?
Conclusion: an efficient First Party Data strategy is the future of customer-oriented marketing Teavaro: Your key to the smart use of first party data in the "cookieless world"

Discover the potential of your data with Teavaro.

Our potential analysis is the key to finding out how First Party Data can truly benefit your company. In our analysis, we examine whether implementing a First Party Data strategy is worthwhile for you. We consider factors such as the number of website visitors, login rates, email sending, and many other aspects to determine the added value for your company. Our experts provide you with clear insights and recommendations so you can make informed decisions.

These are the different types of First Party Data

Three essential types of First Party Data that are of great significance for companies include:

1.Customer Master Data
This encompasses basic information about the customers, such as names, addresses, contact information, and demographic data. These form the foundation of the customer relationship and are crucial for communication and customer segmentation.

2. Behavioral Data
This type of data provides insights into how customers behave on digital platforms, for example, which websites they visit, how long they stay on certain pages, and how they react to specific content. These data are particularly valuable for understanding the interests and preferences of customers and enable targeted personalization of marketing measures.

3. Usage and Transaction Data
Also known as “classic movement data,” these include information about purchases, orders, service usage, and other customer interactions with the company. These data offer valuable insights into purchasing behavior and customer preferences and are crucial for optimizing sales strategies and improving the customer experience.

With Teavaro’s unique
ID-Graph, you can combine the various data sources particularly efficiently – thus obtaining a meaningful customer profile.  

Examples of First
Party Data

Customer Profiles
Purchase History
Website Visits
Email Lists
Mobile App Usage
CRM Data
Data from Social Media
Responses to Marketing Campaigns

What is the difference between zero, first, second and third party data?

The ability to distinguish these data categories is essential, not just for successful advertising strategies, but also for responsible handling of user information. Let’s decode these important terms and understand their significance in today’s data-driven society.

Examples of First
Party Data

Customer Profiles
Purchase History
Website Visits
Email Lists
Mobile App Usage
CRM Data
Data from Social Media
Responses to Marketing Campaigns

What is the difference between zero, first, second and third party data?

The ability to distinguish these data categories is essential, not just for successful advertising strategies, but also for responsible handling of user information. Let’s decode these important terms and understand their significance in today’s data-driven society.

What are Zero Party Data?

Zero Party Data are data provided directly by customers or users themselves, usually on a voluntary basis and often in an explicit interaction or communication with a company. Examples of Zero Party Data include:

Surveys
Questionnaires
Feedback
Preferences
Product reviews
Personal preferences that customers consciously share with a company. These data are particularly valuable as they require a high level of customer engagement and trust, offering companies valuable insights into the individual needs and preferences of their customers. They can be used to offer personalized experiences and products and to make marketing more targeted.

What is the difference between Zero and First Party Data?

Unlike First Party Data, which are passively collected through customer behavior, Zero Party Data are actively provided or made available by the customers themselves.

What is Second Party Data?

Second Party Data are data that a company receives not directly from the user, but from a trusted source, usually in the form of a partnership or agreement.

What is Third Party Data?

Third Party Data are data collected and sold or licensed by third-party entities to companies. These data do not come directly from the company’s own customers or platforms but from other companies, organizations, or data aggregators. Third Party Data can be used for various purposes, such as audience analysis, advertising measures, and market segmentation.

What is the difference between Second and Third Party Data?

Second Party Data are data acquired by a company directly from another company. These data are usually exchanged in some sort of partnership or agreement between the two companies. In contrast, Third Party Data are collected by third-party entities that do not have a direct business relationship with the company acquiring the data. Third Party Data are often more general and come from various sources, while Second Party Data are typically more targeted and specific to the buyer’s needs.

First Party Data:

Opportunities and Challenges

The growing relevance of First Party Data in today’s digital landscape cannot be overlooked. In a world where data privacy is increasingly coming to the forefront, First Party Data are becoming an indispensable asset for businesses.

Challenges and Disadvantages of First Party Data

Despite their growing importance, First Party Data present specific challenges. The diversity of data is more limited compared to Third Party Data, as it exclusively comes from one’s own customer base. This can restrict reach and make identifying new target groups more difficult.

Additionally, data collection and management are more labor-intensive, as companies must develop and maintain their own systems. The reliance on one’s own customer base also carries the risk of gaps in data quality and quantity. These factors require careful planning and adaptation of strategies to effectively use First Party Data without underestimating the challenges.

With Teavaro, you can overcome these challenges. Collect and use your First Party Data efficiently and stress-free.

Benefits of First Party Data

First Party Data offer a range of advantages that are indispensable for businesses in the digital age. They provide a high level of data protection and compliance, minimizing the risk of data breaches and strengthening customer trust. With their direct customer relationship, they deliver data of high quality and relevance, enabling precise personalization and more effective customer engagement. This promotes long-term customer relationships and strengthens customer loyalty.

The independence from third-party providers is another important aspect. This gives companies more control over their data and offers flexibility in its use. Moreover, First Party Data open up innovative pathways, such as data partnerships and multi-ID approaches, to develop a comprehensive understanding of customers.

Collecting and Analysing First Party Data:

Key Considerations

When collecting and analyzing First Party Data, there are four crucial factors to consider in order to gain valuable insights: data collection, profiling, addressability, and attribution.  

Collection:

How can First Party Data be collected?

The collection of First Party Data can occur in various ways, depending on the type of data. By combining these different methods, companies can gain a comprehensive understanding of their customers and use this knowledge to optimize their offerings and marketing strategies.

Collection of Customer Master Data:

Registration and Sign-up: During user registration on websites or in apps, basic information such as name, email address, and demographic data are collected.
CRM – Systems: Integration of customer data from Customer Relationship Management systems, which contain extensive master data.

Collection of Behavioral Data:

Website Analysis / Apps: Tracking and analyzing user activities and behavior on the website or in mobile apps. This includes page visits, click paths, and interactions with content.
Email Marketing: Collecting data on subscriber interactions with emails, such as open rates and clicks.
Social Media: Gathering data from interactions on social platforms, such as comments, likes, and shares.

Collection of Usage and Transaction Data:

Sales and Transaction Data: Collecting information about purchases and transactions, including purchase history and product selection.
Mobile Apps: Capturing data on usage and interactions within the app, such as in-app purchases or utilized features.
Events and Promotions: Collecting customer data at events, trade shows, or marketing promotions.

Collection:

How can First Party Data be collected?

Collection of Customer Master Data:

Registration and Sign-up: During user registration on websites or in apps, basic information such as name, email address, and demographic data are collected.
CRM – Systems: Integration of customer data from Customer Relationship Management systems, which contain extensive master data.

Collection of Behavioral Data:

Website Analysis / Apps: Tracking and analyzing user activities and behavior on the website or in mobile apps. This includes page visits, click paths, and interactions with content.
Email Marketing: Collecting data on subscriber interactions with emails, such as open rates and clicks.
Social Media: Gathering data from interactions on social platforms, such as comments, likes, and shares.

Collection of Usage and Transaction Data:

Sales and Transaction Data: Collecting information about purchases and transactions, including purchase history and product selection.
Mobile Apps: Capturing data on usage and interactions within the app, such as in-app purchases or utilized features.
Events and Promotions: Collecting customer data at events, trade shows, or marketing promotions.

Tip

Efficiently Collect and Assign First Party Data

The collection of First Party Data requires sensitivity and the right timing to avoid overwhelming or “bombarding” users. A gradual dialogue over time is more effective than an intrusive approach. It’s important to offer users an incentive for data sharing, such as personalized content or exclusive offers.
The correct assignment and use of the collected data are also crucial. Platforms like Teavaro help integrate data from various sources and place targeted advertising based on user preferences. This enhances the effectiveness of the marketing strategy and improves the customer experience. Proper handling of First Party Data is key to marketing success and customer satisfaction. 

2. Profiling:
How can I assign and merge First Party Data?

The creation of profiles, that is, the correct merging and assigning of customer data, presents a central challenge. It involves effectively linking different data such as transactions, user behavior, and demographic information to create a comprehensive customer profile.

Although First Party Data offer valuable insights, they alone cannot fully solve the attribution problem. They do not always capture the entire user behavior across various channels, which complicates the accurate assessment of marketing effectiveness. To bridge this gap, advanced data strategies and analysis methods are required, often involving the use of AI and machine learning.

2. Profiling:
How can I assign and merge First Party Data?

The creation of profiles, that is, the correct merging and assigning of customer data, presents a central challenge. It involves effectively linking different data such as transactions, user behavior, and demographic information to create a comprehensive customer profile.

Although First Party Data offer valuable insights, they alone cannot fully solve the attribution problem. They do not always capture the entire user behavior across various channels, which complicates the accurate assessment of marketing effectiveness. To bridge this gap, advanced data strategies and analysis methods are required, often involving the use of AI and machine learning.

Teavaro’s unique ID-Graph offers a particularly smart solution for the challenges of a “cookieless future” by enabling targeted and connected attribution of First Party Data from various categories and directions, including customer master data and behavioral data.

Teavaro’s own 1^st -Party ID-Graph allows the connection of customer data from various touchpoints and stages of their journey. This information is useful for multi-touch attribution. Additionally, the personal data obtained can be combined with aggregated data from media mix modeling for a unified marketing measurement approach. This also allows for the consideration of factors in advertising effectiveness measurement that do not involve personal data, such as offline media or cases where users do not consent to tracking or ID-Graph construction.

3. Addressability:

How can I reach the customer?

Addressability, the ability to specifically target customers, is a key aspect of customer engagement. Various channels are used, each with its specific properties and requirements:

1. On-Site Channels: These include one’s own website or app, as well as voice assistants like Alexa. These channels require real-time capability, as the user must be reached in real time. They enable direct and interactive communication with the customer while they are active on the platform.

2. Push Channels: These include email, app push, web push, SMS, and postal mailings. To address customers through these channels, identifiers are needed that come from the ID-Graph. This graph uses the profiles of customers to ensure that the right people are targeted.

3. Paid Media: This channel is used for both acquiring new customers and reaching hard-to-reach existing customers. Here too, user behavior or the user profile is of great importance.

Within these channels, there are different areas for collecting First Party Data:

Walled Gardens: These “closed ecosystems” like social media platforms (Meta, TikTok), Amazon, and Google, allow for a more effective data match in “Customer Matches”. Here, match rates are often higher since more email addresses and customer data are available.
Open Internet: Unlike the Walled Gardens, the open internet encompasses advertising spaces from various publishers. Here, data matching is often more challenging and less precise compared to the closed systems.

4. Attribution:

How can I measure advertising success?

The measurement of advertising success is undergoing profound changes in digital marketing. Due to privacy concerns and legal changes, Third-Party Cookies, previously a cornerstone of measuring the success of online advertising, are losing importance. These cookies allowed the tracking of user activities across different websites and provided valuable insights for attribution – the assignment of conversions to specific advertising actions.

Now, as Third-Party Cookies disappear, companies face the challenge of finding new ways to measure advertising successes and optimize advertising campaigns without these detailed user data. The task is now to develop alternative methods that can effectively measure advertising success and enable a personalized user experience without relying on these cookies. This development requires innovative approaches in the digital marketing landscape. This is precisely where Teavaro can assist you.  

3. Addressability:

How can I reach the customer?

Addressability, the ability to specifically target customers, is a key aspect of customer engagement. Various channels are used, each with its specific properties and requirements:

4. Attribution:

How can I measure advertising success?

3. Paid Media: This channel is used for both acquiring new customers and reaching hard-to-reach existing customers. Here too, user behavior or the user profile is of great importance.

Within these channels, there are different areas for collecting First Party Data:

Walled Gardens: These “closed ecosystems” like social media platforms (Meta, TikTok), Amazon, and Google, allow for a more effective data match in “Customer Matches”. Here, match rates are often higher since more email addresses and customer data are available.
Open Internet: Unlike the Walled Gardens, the open internet encompasses advertising spaces from various publishers. Here, data matching is often more challenging and less precise compared to the closed systems.

Find out more about GDPR-compliant data collection!  

First Party Data and Data Protection:

What to Consider?

When collecting customer data, it’s important to comply with legal frameworks. Essentially, data can be collected if there is a clear justification and, typically, consent from the individual concerned. This means every data collection must serve a legitimate purpose and comply with data protection laws such as GDPR. Especially sensitive data, such as information on religion or sexual orientation, are subject to strict regulations according to GDPR.

Conclusion:

An efficient First Party Data strategy is the future of customer-oriented marketing

The future of marketing is rapidly changing as Third-Party Cookies will no longer be available in the foreseeable future. This leads to a so-called “Cookieless World,” where First Party Data gains importance. Companies should therefore now focus on a sensible First Party Data strategy but must rely on customer-relevant content and active dialogue to obtain consent.

A First-Party Data strategy presents both challenges and opportunities. Data collection and management require effort, and adherence to data protection regulations is central. User consent is crucial to build trust. The benefits include better data security, personalized customer engagement, and loyalty.

Despite the growing importance of First Party Data, they can never fill all the gaps left by Third Party Data collection. Therefore, supplementing additional data sources remains important. Companies that cleverly use First Party Data and show adaptability have a clear competitive advantage and are better prepared for changes.

Your First Party Data are worth their weight in gold.

Teavaro: Your Key to Smart Use of First Party Data in the “Cookieless World”

Teavaro provides tools and expertise to support companies in the effective use of First Party Data. Teavaro does not collect customer data itself but enables companies to maintain control over their own data. In addressing the challenges and leveraging the opportunities in the area of First Party Data and data protection, we rely on three crucial success factors:

Utiq – Data Protection Compliant Authentic Consent Service

Teavaro integrates the data protection compliant Martechpass generated by Utiq into their own identity graph. This allows companies to advertise across domains, especially in combination with a First Party Data strategy.

Advanced First-Party ID-Graph by Teavaro

This ID-Graph from Teavaro is a solution for the challenges of a “cookieless future.” It enables the collection of First Party Data from various data categories and directions, such as customer master data and behavioral data.

Targeted Supplementation through Zero Party Data

When collecting 1st-Party Data, a sensitive approach should be taken. It is not advisable to immediately ask every user who visits the website for additional data. Instead, these questions should be asked at the right time – no problem with Teavaro’s expertise.

Discover the Potential of Your First Party Data!

About the author:

Dirk Rohweder

COO & Co-Founder

Dr. Dirk Rohweder, COO & Co-Founder, has over 30 years of experience in leadership positions in IT, telecommunications, consumer goods, and consulting, including as CIO of the Paulaner Brewery Group and T-Mobile (UK and Germany).
Since 2012, he has focused on customer data as a strategic asset and the basis for omnichannel marketing, data-driven business models, data protection, and consent for marketing activities (GDPR).

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We believe that a true connection is built on explicit consent and grows over time as it provides unique value to all parties involved.

The Ideal First Party Data Strategy in a “Cookieless Future“

What is First Party Data?

What is First Party Data?

These are the different types of First Party Data

What is the difference between zero, first, second and third party data?