L'Oréal, a pioneer in cosmetics and luxury goods, and a leader in the e-commerce sector, was faced with several challenges concerning tracking on its digital environments (websites, eCommerce, Apps).
The obligation to migrate to GA4 and the growing complexity and multiplicity of data and technologies required significant human resources to manage the datalayer, tagging tests and data validation.
This laborious approach led to deployment delays, high costs and uncertainty about data reliability, hampering the company's ability to make informed decisions.
At a joint master-class with Converteo, Vincent Bézard, Director of the D2C Campus Excellence for L'Oréal Europe, and Nicolas Allix, Converteo Digital Analytics Consultant delegate at L'Oréal, shared their feedback on the massive impact brought about by the DoD Governance Manager platform in terms of tracking efficiency and performance.
I/ Context and challenges of a complex data environment :
By 2023, L'Oréal Europe's D2C e-commerce represents the management of 224 sites in 47 countries, representing 35 brands.The complexity of this infrastructure requires a rigorous approach to data management, particularly with regard to tagging, an essential element for a clear view of their platform's performance.
L'Oréal has developed a framework comprising different layers, functional, non-functional, and branded, combined with the implementation of a triple-diamond methodology including discovery, creation and adoption.
Insight gathering, research and data monitoring play a crucial role in this methodology, fuelling an iterative process of continuous improvement. To meet these challenges, L'Oréal has opted for a common data layer centralized at platform level, enabling global visibility of site data and performance.
However, manually testing the 200+ variables and dimensions of the data layer is proving an impossible task due to human resource constraints.
The teams therefore face 4 major challenges:
1. GA3 - GA4 migration
If changing analytics solution represents a technical challenge for all concerned, it's because a tracking migration exposes data teams to complex, time-consuming issues.
Firstly, this new environment imposes changes in data structure, since the challenge is to move from a model based on sessions and page views to an event-driven model requiring in-depth understanding and adjustments in the way data is captured and interpreted.
Next, it will be necessary to reconfigure and re-implement the tracking tags on the website or mobile application to adapt to GA4's new data structure.
Teams will also need to successfully integrate GA4 with other analytics or marketing tools to ensure correct synchronization of data between different solutions, and to program and rebuild advanced configurations such as custom objectives, conversion funnels and advanced segments to ensure accurate and comprehensive tracking of key metrics.
Of course, teams will need to be trained on the new GA4 features and best practices to ensure an efficient transition and optimal use of the platform.
2. Dealing with tracking inconsistencies
The significant differences between the data collected by the various tracking tools made it difficult to analyze user behavior and measure campaign performance.
For example, variations in conversion data between Google Analytics and other tools have created ambiguities as to the source of traffic and the effectiveness of our L'Oréal advertising campaigns, compromising the reliability of the data collected, which can distort analyses and lead to erroneous decisions.
Furthermore, identifying and resolving tracking inconsistencies can be a complex and tedious process, requiring significant resources in terms of time and technical expertise, so the impact on overall profitability can be substantial.
3. Overcome tedious and time-consuming acceptance processes
The challenges associated with acceptance testing are many and complex.
First, there's the question of data quality, where tracking and tagging errors can compromise the reliability of analyses and decisions.
Secondly, tedious manual processes often lead to delays in bringing products or digital functionalities to market.
What's more, managing change requests and multiple versions can quickly become a logistical headache, especially in a global e-commerce environment like L'Oréal's.
Finally, there's the challenge of maintaining effective collaboration between technical, marketing and data teams, to ensure alignment of objectives and priorities throughout the acceptance process.
II/ Solutions implemented with DoD - Governance manager :
L'Oréal successfully addressed several critical challenges relating to tracking migration, tracking performance optimization, the acceptance process and collaboration by leveraging the DoD Governance Manager platform.
Firstly, using Governance Manager, teams were able to establish clear and consistent data policies, ensuring a smooth and orderly tracking transition. This approach helped minimize disruption and maintain business continuity during the transition.
"We completed the migration on all sites 6 months ahead of schedule, with half an FTE instead of 3, thanks to 100% automation of tagging plan generation and testing, reducing costs by several hundred k€ per year." - Vincent Bézard
The adoption of Governance Manager has also played a key role in addressing tracking issues. The platform enables real-time monitoring, which has enabled L'Oréal to quickly identify tracking performance problems, such as system failures or bottlenecks, and to intervene promptly. Thanks to this enhanced reactivity, the company has been able to maintain high levels of tracking quality, ensuring accurate and reliable data collection, as well as confident strategic decision-making.
"Today, it's just Nicolas globally who does all the tagging, whereas before using Governance Manager, it was three people doing the job. He even has more time to work on high value-added projects." - Vincent Bézard
With regard to the acceptance process, Governance Manager facilitated the definition and application of strict validation criteria to guarantee data conformity and accuracy.
By automating certain validation tasks and offering advanced tracking and reporting tools, this solution enabled L'Oréal to speed up the acceptance process while reducing potential errors.
"Governance Manager has transformed the way we approach data acceptance and tracking. With just a few clicks, we can create complete tagging plans, ensuring the reliability and quality of our data. We've automated all our acceptance processes, which has enabled us to considerably reduce our deployment times." - Nicolas Allix
Finally, by fostering collaboration between the teams and the various contributors (digital analysts, agency consultants, business owners, IT, digital marketing) Governance Manager has made tracking processes more effective and efficient.
By providing transparent access to data, integrated communication and sharing tools, and clear governance and accountability mechanisms, these solutions have fostered a culture of collaboration and alignment within the organization.
Thanks to Governance Manager, L'Oréal has been able to maintain high standards of data quality, improve operational efficiency and strengthen its competitiveness in the marketplace.
III/ Governance Manager in application
Here are a few technical elements provided by Nicolas Alix to better understand how the DoD platform is used to address these challenges.
First of all, thanks to Tagging Studio, Nicolas was able to create a global tagging plan that applies to all NGL brands (L'Oréal's SalesForce eCommerce platform federating several brands in several countries - editor's note).
He began by developing a cross-functional model, specifying matching conditions for different types of pages and URLs, thus guaranteeing uniform verification of tracking information across the entire site.
With Data On Duty, Nicolas was able to create the master tagging plan in less than an hour. He was blown away by the simplicity and speed of this approach, pointing out that even without immediate knowledge of test environments, it was possible to learn quickly by exploring the site and identifying the page templates to be received.
Once the tagging plans had been generated, Nicolas was able to publish them and start the analyses, which enabled him to carry out recipes on specific sites on a weekly basis, focusing on the relevant technologies of the moment such as GTM and GA4 to name but a few.
Nicolas also used Data On Duty to create web journeys, including complete purchase paths, to guarantee optimal tracking during customer interactions, ensuring efficient daily follow-up.
From now on, intelligent alerts will inform the D2C Digital Analytics team and the various contributors (business owners, marketing, IT, etc.) in real time of any risk of regression or loss of data, relieving them of the need to search through reports and taking them directly to the point identified as problematic.
DoD Governance Manager has really enabled L'Oréal to streamline the tracking process, improve performance, simplify acceptance and foster collaboration between technical and marketing teams.
The technical details provided by Nicolas highlight the platform's efficiency, ease of use and speed in solving the specific challenges faced by the company, while also enabling significant time savings and a better overall understanding of tracking within the organization.
Finally, L'Oréal's story with Governance Manager perfectly illustrates the transformational potential of technological innovation in digital analytics.
By adopting an approach focused on automation, quality and compliance, the company was able to overcome its most pressing challenges and achieve significant gains in terms of tagging performance, as well as the relevance and quality of the data collected.
This testifies to the essential role of DoD Governance Manager in helping companies stay at the top of their game in an ever-changing digital landscape.
Discover Dior Couture's Customer Case to find out how they reconcile tracking performance and privacy!
