FEATURED CASE STUDY

Lacoste

Discover how Lacoste unified their data to enhance customer engagement, optimize marketing strategies, and drive sales growth while achieving massive time savings.

Lacoste, a renowned French fashion brand known for its iconic polo shirts and timeless style, sought to enhance its e-commerce operations and customer engagement through data-driven insights. With a vast global presence, Lacoste needed a robust solution to unify and analyze data across multiple online platforms.

Top Integrations

Top Features

  • GA + GA4 Data Blending

  • Attribution Analysis

  • Item Analysis

Key Metrics

  • LTV:CAC by First product
  • LTV:CAC by First campaign
  • Cross-sells by product

Challenges

Lacoste faced significant challenges in managing and analyzing data across various online channels and platforms. With disparate data sources from their e-commerce platform, marketing campaigns, and analytics, the company struggled to gain a comprehensive view of their online operations. This fragmentation hindered their ability to make informed decisions and optimize marketing strategies.

Solution

Lacoste partnered with CorralData to integrate all their online data sources into a single, cohesive platform. By leveraging CorralData’s pre-built integrations and AI-powered analytics, Lacoste was able to create a unified view of their e-commerce operations. This integration allowed for real-time reporting, streamlined marketing optimization, and improved customer engagement. The implementation also led to massive time savings across various teams, enabling them to focus on strategic initiatives rather than manual data consolidation.

Results

With CorralData, Lacoste transformed their data management and analytics capabilities. The unified platform provided valuable insights that enabled the company to optimize marketing campaigns, improve customer retention, and enhance online sales growth. As a result, Lacoste achieved a significant increase in marketing ROI, better understanding of their customer base, and a reduction in customer acquisition costs. Additionally, the time saved on data management allowed teams to dedicate more resources to strategic growth and innovation.