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CUSTOMER USE CASE

TBS Automates Their eCommerce Analytics With ClicData

About TBS

TBS is a French footwear and clothing brand established in 1978, renowned for its durable, nautically inspired designs. As part of the Eram Group, TBS emphasizes French craftsmanship, sustainability, and innovation, offering products that blend style with functionality.

Their Objective

TBS was struggling to manage its growing e-commerce operations mostly because of inefficient processes. Their teams were relying heavily on manual reporting using Excel, which not only consumed valuable time but also limited the depth and speed of insights.

The data they needed, spanning marketing budgets, web traffic, sales, and CRM, was scattered across platforms, making it difficult to connect the dots and get a full picture of performance.

Without an integrated system, their ability to make fast, informed decisions across departments like purchasing, marketing, and executive management was severely restricted.

“We were struggling to manage acquisition budgets, understand where our traffic was coming from, and connect all that data with actual sales. Everything was scattered, and reporting took too much time without giving us the full picture.”

Matthieu Breton
Marketing Manager

Their Approach

With ClicData, TBS completely redefined how they manage and analyze their e-commerce data. They moved from manual Excel sheets to fully automated dashboards that provide real-time insights into key metrics like website traffic, click-through rates, conversions, and revenue.

This shift not only saved the team 100s of hours each year but also improved the quality and speed of their decision-making.

ClicData’s flexibility allowed TBS to expand their analytics capabilities across the organization, from customer segmentation to evaluating how weather patterns influence sales. What began as a tool for e-commerce reporting quickly became a central part of their business intelligence strategy.

“ClicData helped us tackle our e-commerce challenges and opened up new possibilities for data analysis—giving us clearer insights into performance and driving real efficiency gains.”
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