Case Study

Lucidora

Turning a fragmented product catalogue into a structured, high-performing ecommerce store.

What started as a typical supplier-driven setup evolved into a fully optimised, data-led ecommerce operation.

A hands-on case study focused on content, structure, SEO, and conversion across a growing product catalogue.

Client

Lucidora

Sector

Ecommerce / Retail

Role

Founder, UX, CRO, Product, SEO

Services

UX, CRO, SEO, Product Strategy, Data Structuring, Content Optimisation

Project overview

Building an ecommerce store that performs, not just exists.

Lucidora was built using multiple suppliers, each providing their own product , imagery, and structure.

The challenge was immediate. Product was inconsistent, descriptions were often poor or duplicated, and lacked any real structure. From an and conversion perspective, the store had very little chance of performing well at scale.

Like many ecommerce setups, it worked on the surface. Products were live, pages existed, and the store functioned. But underneath, there was no , no , and no clear path to growth.

The goal was not just to launch a store, but to one that could scale properly. Structurally, commercially, and from a perspective.

What was happening

The catalogue was growing, but performance was not following.

Supplier came in different formats, with varying levels of quality. Titles were inconsistent, descriptions lacked depth, and important elements were either missing or duplicated across products.

Categories were loosely defined, making it harder for users to navigate and harder for engines to understand the structure of the site.

From a user perspective, the experience felt inconsistent. Some products were clear and well presented, others felt incomplete or difficult to understand.

From a perspective, there was no clear loop. Content was added, but rarely improved. Decisions were reactive, and there was little visibility into what was actually working.

The problem was not alone. It was the foundation the traffic was landing on.

Approach

Structure first. Then optimise everything on top of it.

The first step was to take control of the .

Supplier feeds were analysed, cleaned, and standardised to create a consistent structure across all products. This included titles, descriptions, attributes, and .

Product types and categories were redefined to create a clearer , improving both and .

From there, the focus shifted to .

A repeatable was introduced for improving product content, including rewriting descriptions, refining titles, and adding structured .

Keyword was layered in, ensuring each product and category had a clear focus and purpose.

At the same time, improvements were made across the site. , , and usability were refined to reduce friction and make it easier for users to move through the buying journey.

This was not a one-off exercise. It was designed as an ongoing that could scale with the catalogue.

Key decisions

Standardise everything that scales. Customise where it matters.

A key decision was to prioritise over individuality at the product level.

With a large and growing catalogue, variation creates complexity. By standardising formats, structures, and , the store became easier to manage, optimise, and scale.

Another decision was to treat content as a asset, not just a requirement.

Every product description, title, and field was written with . Not just to describe the product, but to improve visibility and .

and tooling were also introduced where possible, particularly around content generation and . This reduced manual effort while maintaining control over quality.

Finally, the focus remained on incremental improvement.

Rather than attempting to perfect everything at once, the store was continuously improved over time, allowing changes to compound and to .

Solution

A structured, optimised ecommerce platform built to scale.

Lucidora evolved into a fully structured ecommerce store, with consistent product , clear , and a defined process.

Product content was rewritten and aligned with , improving both visibility and for users.

Categories were refined to support and , making it easier for users to find products and for search engines to understand the site.

improvements reduced across key journeys, improving the overall shopping experience.

Behind the scenes, were put in place to manage new products, ensuring they met the same standards from the moment they were added.

The store became not just a collection of products, but a designed to perform.

Outcomes

Improved visibility, consistency, and a platform ready to grow.

Product pages became clearer, more informative, and better aligned with .

The site structure improved, making easier and supporting stronger .

Content quality increased across the catalogue, reducing duplication and improving differentiation.

Operationally, managing the store became more efficient, with clearer and less reliance on manual fixes.

Most importantly, the store moved from a reactive setup to a structured, scalable capable of ongoing growth.

Reflection

Ecommerce performance is built on structure, not just traffic.

Lucidora reinforced that the biggest gains do not come from quick wins, but from fixing the foundation.

Without consistent , clear structure, and a defined , it is almost impossible to scale effectively.

By focusing on structure first and layering on top, the store became easier to manage, easier to improve, and better positioned for growth.

The lesson is simple.

If the foundation works, everything on top of it works better.