In today's article we compare server-side and client-side measurement, following on from the previous article, where we covered server-side measurement in general terms.
Client-Side Tracking
Advantages
Simple implementation 👇
Client-side measurement is easy to implement using JavaScript libraries and tags that can be inserted directly into the code of the website.
Immediate access to data 👇
Data is collected directly from the user's browser, which allows immediate monitoring and analysis of user behaviour.
Interaction with dynamic content 👇
Client-side measurement is effective for tracking interactions with dynamic content and events that take place on the page (such as clicks, mouse movements and scrolling).
Disadvantages
Blocking of ads and scripts 👇
Client-side measurement is susceptible to blocking by ad blockers and other security tools, which can lead to incomplete or inaccurate data collection.
Browser load 👇
The presence of scripts and tags on the page can slow down loading of the website and affect the user experience.
Security risks 👇
Data is transferred directly from the user's browser, which can increase the risk of data being intercepted or manipulated.
Server-Side Tracking
Advantages
Data enrichment 👇
Server-side measurement opens up endless possibilities for enriching and cleaning data in real time. When a user makes a purchase, you can load in real time data from company systems that you cannot or do not want to have available on the website (e.g. in the data layer) and pass it securely to the advertising system. You can store the data in several places and work with it as needed.
Security and data protection 👇
Server-side measurement gives you more control over how data is collected, processed and sent. As the controller of your users' and customers' data, you therefore have full control over the entire process of data collection and processing.
Website performance optimisation 👇
Moving analytics operations to the server reduces the load on the client side (the browser). By the very nature of this kind of measurement, where data leaves for the server only once, the number of requests is minimised, which can improve page loading speed and the overall user experience.
Disadvantages
Technical complexity 👇
Implementing server-side measurement can be technically demanding and requires more advanced knowledge of cloud technologies and API integrations.
Infrastructure costs 👇
It requires investment in server infrastructure and its maintenance, which can be expensive, especially for smaller organisations.
Time demands 👇
Setting up and configuring server-side measurement can be time-consuming and requires careful planning and testing.
Practical Examples of Use ⚙️
❓ When to use client-side measurement?
- Smaller websites and start-ups: For smaller websites or start-ups looking for a quick and simple solution for tracking user behaviour, client-side measurement can be the ideal choice.
- Dynamic web applications: Websites with a lot of dynamic content and client-side interactions, such as e-commerce sites or media, can benefit from the ability to track these interactions immediately.
❓ When to use server-side measurement?
- Large enterprises and organisations: Server-side measurement is suitable for large enterprises that need accurate and secure data for analytics and campaign optimisation.
- Personal data protection: Organisations that must comply with strict legislative requirements on personal data protection can use server-side measurement for better consent management and data security.
- Complex analytical needs: Companies with complex analytical needs that require accurate tracking and processing of data from various sources can benefit from the robustness of server-side measurement. Server-side measurement opens the way to value-based bidding and other modern concepts for optimising marketing budgets and campaigns.
Hybrid Approach — Combining Client-Side and Server-Side Measurement
- Maximum data coverage: A hybrid approach makes it possible to combine the advantages of both methods, which ensures the most complete and most accurate data collection.
- Flexibility and scalability: A hybrid approach offers flexibility in implementing and scaling the solution according to the specific needs of the organisation.
- Implementation example: Events such as clicks and interactions with dynamic content are tracked on the client side and then sent to the server for further processing and integration with other data sources. Here they can be supplemented and enriched and sent on to marketing systems.
Legal and Ethical Aspects of Server-Side Measurement
Server-side measurement brings many advantages in web analytics and digital marketing, but it also requires careful consideration of legal and ethical aspects. Below is a detailed look at these key aspects.
Legal Aspects 👇
1. Legislative compliance
a. GDPR (General Data Protection Regulation)
- – Consent management: Server-side measurement must ensure that the collection and processing of personal data complies with GDPR requirements, especially when it comes to obtaining and managing consents from users. Users must be informed about what data is collected, for what purpose and how it will be used.
- – Data subject rights: Users have the right to access their personal data and to have it rectified, erased and ported. Server-side measurement must allow easy access to these functions, above all thanks to the possibility of logging.
- – Data security: Server-side measurement must ensure adequate technical and organisational measures to protect personal data against unauthorised access, loss or misuse.
b. CCPA (California Consumer Privacy Act)
- – Informing consumers: Server-side measurement must include mechanisms that allow Californian consumers to be informed about what personal data is collected and for what purpose.
- – Opt-out options: Users must be able to refuse the sale of their personal data. Server-side measurement must implement functions that allow easy opt-out from such processing.
- – Transparency: Companies must publish clear and understandable information about their personal data practices, which also includes the methods used for server-side measurement.
2. Data protection
a. Encryption and security
- – Data transfer: Data transferred between the client and the server must be encrypted using SSL/TLS protocols to ensure its protection in transit.
- – Data storage: Personal data must be stored securely on servers, using encryption and other security measures to prevent unauthorised access.
- – Logging and audit: Implementing logging and auditing of access to personal data can help identify and respond to security incidents.
b. Anonymisation and pseudonymisation
- – Risk minimisation: Using anonymisation and pseudonymisation techniques can help minimise the risk of misuse of personal data should it be accessed without authorisation.
- – Legal framework: Under the GDPR, anonymisation and pseudonymisation are regarded as measures that reduce risk and improve the protection of data subjects.
Ethical Aspects 👇
1. Transparency and user awareness
a. Clear and understandable communication
- – Information about tracking: Users must be clearly and understandably informed that their behaviour on the website is being tracked, what data is collected and for what purposes it will be used.
- – Consent and choice: Users must be able to give informed consent to tracking and must be able to withdraw this consent at any time.
- – Control over the whole process: As the data controller you always have full control over the entire data collection process thanks to server-side measurement.
b. Regular updates of privacy policies
- – Availability of information: Privacy policies should be easily accessible and regularly updated to reflect current practices in data collection and processing.
- – Educational campaigns: Organisations can run educational campaigns that explain to users why data tracking is important and what benefits it brings.
2. Respect for user privacy
a. Data collection minimisation
- – Principle of minimisation: Collect only the necessary data and limit the scope of collected information to the minimum needed to achieve the stated goals.
- – Data storage: Make sure data is kept only for as long as strictly necessary and is then securely deleted.
b. Ethical use of data
- – Responsible use: Make sure data is used ethically and in line with users' expectations. Avoid using data in a way that could be considered invasive or harmful.
- – Transparency of algorithms: If you use data for automated decision-making (e.g. through machine learning), make sure these decisions are transparent and explainable. Thanks to server-side measurement you can determine exactly what data you will use for what purposes.
Conclusion of the Comparison
Server-side measurement is a modern approach to web analytics that offers higher accuracy, better security and consistent management of user consents. Even though its implementation can be technically demanding and costly, the benefits for data quality and compliance with regulations are undeniable. With the end of third-party cookies in view, server-side measurement is becoming an essential tool for all organisations that want to maintain a high level of analytics and marketing strategies in the digital environment. At the same time, server-side measurement opens the way to more advanced analytical techniques such as value-based bidding.