How to navigate tracking and privacy with white label and third-party integrations
Practical solutions and best practices
Article
Technical Web Analytics
Data collection compliance
Bram Ooms
Technical Web Analyst
6 min
31 Mar 2025
Many organisations choose to integrate external tools to speed up development or add new functionality. Third-party tools (solutions built and managed by another company) and white label tools (which you can rebrand as your own) often seem like efficient choices.
But even if a tool seems like a perfect fit, these integrations can come with unexpected challenges. Technically, they may require extra work to align with your data processes. Business-wise, inconsistent data collection can skew analytics and make data activation less effective. And from a privacy perspective, there are risks, such as legal issues or losing customer trust.
To navigate risks to tracking and privacy by integrating third party tools, organisations should set clear guidelines and perform thorough evaluations of each tool before deployment. For instance, confirm every vendor’s data-handling practices, define strict privacy requirements in contracts, and regularly audit integrations for compliance. By establishing robust processes, verifying vendors, and monitoring performance, you can benefit from external solutions while keeping data protection and trust intact.
(Current article) How to navigate tracking and privacy with white label and third-party integrations – Practical solutions and best practices.
Solutions for tracking challenges
1. Make data a core principle of requirements
Functionality is often prioritised over adhering to the existing data strategy, but to work data-driven with third parties, tracking requirements must be embedded in the requirements of procurement processes. Ensuring data requirements are met from the outset prevents future issues with collection, reporting and activation.
2. Align on tracking and identity solutions
Regardless of the steps you take or the systems you use, your top priority should be integrating your solution into the platform. For white label or third-party platforms, the ideal approach is to host your tag management system on their platform.
If they also collect data for their own purposes, running two client-side solutions is often not desirable, as they may interfere with each other. Make sure you align with both parties on what data needs to be exposed, and work on definitions that meet both organisations’ requirements, or can be developed separately.
This way, you can use two different (server-side) tag management solutions, ensuring that both organisations can leverage the data for their own purposes.
For iFrames, allow the embedded content to pass events to the top-level domain, ensuring your tag management solution captures the data. This allows control over the consistency in the data you collect.
3. Implement the solution
If you run your tag management solution on a different website or domain, you risk losing visitor identity. Most tracking relies on cookies to maintain a unique identifier, and these typically don’t carry over between domains.
One common solution is to pass the identifier in a query parameter, allowing you to transfer visitor information between platforms. Google Analytics 4 offers cross-domain measurement to help with this, but it can be blocked by privacy settings or browser controls.
Alternatively, you can use first-party identity solutions, proxies, server-set cookies, or redirects to enrich third-party platform data with your own first-party data. If you use a subdomain, make sure cookies are set with a leading dot (‘.’) so they’re accessible across subdomains.
The privacy challenges require to be mitigated to reduce risks of non-compliance with the GDPR and ePrivacy. Additionally, the privacy requirements may have implications which can place limitations of how you can track the user.
1. Define roles and responsibilities
When integrating third-party solutions, it’s crucial to define roles and responsibilities under GDPR. Is the third party acting as a data processor, handling data solely on your behalf, or a joint controller, using data for its own purposes? Clearly outlining who processes what data and for what purpose ensures compliance and prevents legal or operational risks.
A common issue is that these discussions happen too late in the process, leading to frustration, delays, and potential non-compliance. Without clarity, you may face residual risks that could have been avoided with better planning. A strong data governance framework is essential here; it ensures structured decision-making, proper documentation, and alignment between all involved parties. If your organisation struggles with data control, improving governance should be a priority.
2. Establish written agreements
GDPR requires a written contract, often known as a Data Processing Agreement (DPA) whenever two parties process data in collaboration. This agreement, which is a child-agreement under a parent agreement, should cover:
Roles and responsibilities (who controls or processes the data)
Processing activities (what data is collected and how it’s used)
Sub-processors and third-country transfers (if applicable)
Beyond GDPR, you should also consider ePrivacy regulations, particularly regarding cookies and tracking technologies. Ensuring alignment on how consent is handled and who is responsible for compliance can prevent future legal challenges. This can especially be challenging due to the country specific requirements and interpretations.
3. Reduce the risk
User consent should be managed carefully to avoid friction in the user experience while staying compliant.It is vital to define how users will be informed and grant consent. In order to do this, there are two main approaches to consider:
Singular approach – One cookie banner and privacy notice covering both you and the third party.
Pros: Seamless user experience, reduces abandonment, and keeps conversion rates high.
Cons: Requires ongoing updates to reflect third-party data practices and increases internal compliance workload.
Multiple instances approach – Users see a separate consent request when engaging with the third-party platform.
Pros: Easier to manage as each party handles its own compliance, ensuring more accurate disclosures.
Cons: Can disrupt the user experience, leading to lower conversions and potential frustration.
The best choice depends on the extent of data collection, the level of integration, and available resources. If data collection is extensive or frequently changes, a separate consent process may be more practical. However, for a seamless user experience, a singular approach may be preferred. The key is ensuring users are fully informed and able to provide meaningful consent while balancing compliance and usability.
Think before you integrate
Considering these factors before committing to an integration prevents costly mistakes. If you need help aligning your technology and legal compliance needs, explore our data collection compliance solution or contact us directly.
This is an article by Bram Ooms
Bram started as a Technical Web Analyst in 2019, where he focused on data implementations at clients such as Univé, DPG Media, Boels and Vodafone. Through his experiences with the impact of legislation on enabling data flow he developed an interest in data privacy, which he is now actively pursuing within Digital Power.
Bram Ooms
Technical Web Analyst
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