succes story

Protecting priceless data quality for Groupe Chantelle

Chantelle is a family-owned company from Paris designing high quality lingerie since 1876.

The following brands and networks are part of the Groupe Chantelle: Chantelle, Darjeeling, Orcanta, Femilet, Chantal Thomass and Livera.

The company has webshops in France, Germany, Italy, Belgium, the Netherlands, Denmark, Spain, Sweden, and the USA, 3.425 employees, 10.000 points of sale in 79 countries and a yearly revenue of over €340 million.

Challenge: Ensuring accurate and reliable data across multiple webshops

Measurement errors and discrepancies between backend sales data and analytics reports are a recurring issue for any online business. Like any modern business, Groupe Chantelle relies on accurate analytics data to optimize the customer journey and maximize the impact of online advertising.

Managing data accuracy is a complex and time consuming challenge for Chantelle with different webshops operating in nine countries and as many different dataLayers. For its success, the marketing department is dependent on these different dataLayers to function well.

Each development change potentially affects the dataLayer and being able to explain discrepancies, frequently leads to discussions between marketing and developers. Finding the root of an error requires time-consuming manual investigation of all domains – an inefficient and tedious process prone to further mistakes.

Solution: Proactive monitoring for accurate and reliable Data

To maintain data quality and peace of mind, Groupe Chantelle needed a solution that would help to minimize discrepancies, reduce the time spent on error detection, and streamline their data tracking setup. The goal was clear: improve efficiency, eliminate unnecessary manual work, and ensure reliable data for smarter business decisions.

Groupe Chantelle implemented Code Cube’s proactive real-time monitoring, ensuring that errors are detected immediately before they can impact data quality. If a tag or tracking component malfunctions, an alert is sent within minutes, allowing for quick action.

Impact

The marketing team at Chantell no longer loses valuable insights when dataLayer implementations are incomplete or incorrect.

Development changes which impact tracking will trigger an alert to stakeholders before any real damage can be done. With errors resolved within hours, Chantelle managed to significantly reduce data discrepancies and to increase data quality.

Due to Code Cube’s automated monitoring there is no more need for complex manual monitoring of multi-domain environments. Marketing and development teams within Chantelle are now having peace of mind knowing their tracking setup and data quality remain accurate and reliable.

succes story

Protecting priceless data quality for Groupe Chantelle

Chantelle is a family-owned company from Paris designing high quality lingerie since 1876.

The following brands and networks are part of the Groupe Chantelle: Chantelle, Darjeeling, Orcanta, Femilet, Chantal Thomass and Livera.

The company has webshops in France, Germany, Italy, Belgium, the Netherlands, Denmark, Spain, Sweden, and the USA, 3.425 employees, 10.000 points of sale in 79 countries and a yearly revenue of over €340 million.

Challenge: Ensuring accurate and reliable data across multiple webshops

Measurement errors and discrepancies between backend sales data and analytics reports are a recurring issue for any online business. Like any modern business, Groupe Chantelle relies on accurate analytics data to optimize the customer journey and maximize the impact of online advertising.

Managing data accuracy is a complex and time consuming challenge for Chantelle with different webshops operating in nine countries and as many different dataLayers. For its success, the marketing department is dependent on these different dataLayers to function well.

Each development change potentially affects the dataLayer and being able to explain discrepancies, frequently leads to discussions between marketing and developers. Finding the root of an error requires time-consuming manual investigation of all domains – an inefficient and tedious process prone to further mistakes.

Solution: Proactive monitoring for accurate and reliable Data

To maintain data quality and peace of mind, Groupe Chantelle needed a solution that would help to minimize discrepancies, reduce the time spent on error detection, and streamline their data tracking setup. The goal was clear: improve efficiency, eliminate unnecessary manual work, and ensure reliable data for smarter business decisions.

Groupe Chantelle implemented Code Cube’s proactive real-time monitoring, ensuring that errors are detected immediately before they can impact data quality. If a tag or tracking component malfunctions, an alert is sent within minutes, allowing for quick action.

Impact

The marketing team at Chantelle no longer loses valuable insights when dataLayer implementations are incomplete or incorrect.

Development changes which impact tracking will trigger an alert to stakeholders before any real damage can be done. With errors resolved within hours, Chantelle managed to significantly reduce data discrepancies and to increase data quality.

Due to Code Cube’s automated monitoring there is no more need for complex manual monitoring of multi-domain environments. Marketing and development teams within Chantelle are now having peace of mind knowing their tracking setup and data quality remain accurate and reliable.