L’Oréal: Data-driven customer lifecycle management
Experience | Consumer Goods
Results
20%
revenue growth
8%
higher average order value
6%
greater order frequency
Established in 1909, L’Oréal is the world’s largest cosmetics company.
We help them harness their customer data to drive marketing performance, predict customer behaviour, and increase customer value.
We partnered with L'Oréal to transform their vast customer data into actionable marketing strategies, addressing the challenge of predicting customer behaviour and increasing customer value. By integrating and analysing diverse data sources, we developed predictive models and segmented their customer base for targeted campaigns. This resulted in personalised marketing initiatives, improved ROI, and a strengthened position as a data-driven leader in the cosmetics industry, demonstrating the power of data-driven strategies for global brand growth.
The challenge
L'Oréal, a global leader in cosmetics, recognised the immense potential of its vast customer data. However, translating this data into actionable marketing strategies, predicting customer behaviour, and ultimately increasing customer value proved to be a significant challenge. With a diverse portfolio of brands and a global customer base, L'Oréal needed a sophisticated approach to data analysis and marketing optimisation.
The solution
Our approach centered on:
Data integration and analysis: We helped L'Oréal consolidate and analyse data from various sources, creating a holistic view of their customer base. This included transactional data, website analytics, social media interactions, and CRM information.
Predictive modeling: Utilising advanced analytics and machine learning techniques, we developed predictive models to forecast customer behaviour, identify high-value customers, and personalise marketing campaigns.
Customer segmentation: We segmented L'Oréal's customer base based on demographics, purchase history, and online behaviour, enabling targeted marketing initiatives.
Personalised marketing campaigns: We assisted in the creation of personalised marketing campaigns that resonated with specific customer segments, driving engagement and increasing customer value.
Performance measurement and optimisation: We established robust performance measurement frameworks to track the effectiveness of marketing campaigns and continuously optimise strategies based on data insights.
The impact
Customer lifecycle management: L'Oréal is now equipped to implement data-driven customer lifecycle management communications to boost customer retention and increase spend per customer.
Measurement and optimisation: Robust measurement and CRM optimisation drives holistic growth across channels using optimised touch points, channels, frequency, offers, and content.
By unlocking the insights hidden within L'Oréal's data, we empowered them to move beyond traditional marketing, creating personalised experiences that resonated deeply with their customers. This partnership demonstrates the transformative power of data-driven strategies, not just for improving ROI, but for building lasting customer relationships.
The challenge
L'Oréal, a global leader in cosmetics, recognised the immense potential of its vast customer data. However, translating this data into actionable marketing strategies, predicting customer behaviour, and ultimately increasing customer value proved to be a significant challenge. With a diverse portfolio of brands and a global customer base, L'Oréal needed a sophisticated approach to data analysis and marketing optimisation.
The solution
Our approach centered on:
Data integration and analysis: We helped L'Oréal consolidate and analyse data from various sources, creating a holistic view of their customer base. This included transactional data, website analytics, social media interactions, and CRM information.
Predictive modeling: Utilising advanced analytics and machine learning techniques, we developed predictive models to forecast customer behaviour, identify high-value customers, and personalise marketing campaigns.
Customer segmentation: We segmented L'Oréal's customer base based on demographics, purchase history, and online behaviour, enabling targeted marketing initiatives.
Personalised marketing campaigns: We assisted in the creation of personalised marketing campaigns that resonated with specific customer segments, driving engagement and increasing customer value.
Performance measurement and optimisation: We established robust performance measurement frameworks to track the effectiveness of marketing campaigns and continuously optimise strategies based on data insights.
The impact
Customer lifecycle management: L'Oréal is now equipped to implement data-driven customer lifecycle management communications to boost customer retention and increase spend per customer.
Measurement and optimisation: Robust measurement and CRM optimisation drives holistic growth across channels using optimised touch points, channels, frequency, offers, and content.
We partnered with L'Oréal to transform their vast customer data into actionable marketing strategies, addressing the challenge of predicting customer behaviour and increasing customer value. By integrating and analysing diverse data sources, we developed predictive models and segmented their customer base for targeted campaigns. This resulted in personalised marketing initiatives, improved ROI, and a strengthened position as a data-driven leader in the cosmetics industry, demonstrating the power of data-driven strategies for global brand growth.
