# How Leroy Merlin uses Algolia

**$28 million**: “An estimated annual revenue increase of more than $28 million”

As published on [algolia.com](https://www.algolia.com/customers/leroy-merlin-brasil). Captured by usedby on 2026-10-07.

- Company: [Leroy Merlin](https://www.usedby.ai/companies/leroy-merlin.md)
- Tool: [Algolia](https://www.usedby.ai/tools/algolia.md)
- Teams: business teams, merchandising teams, tech team

## What the story says

Leroy Merlin Brasil replaced its Elasticsearch-based search with Algolia to power search and navigation across desktop, mobile and in-app experiences for its large product catalog. Business teams use Query Suggestions, Dynamic Re-ranking, A/B Testing and data transformations to manage and tune rankings without heavy developer involvement.

Summary written by usedby from the source page, in English. The figures are those of Algolia and Leroy Merlin, not ours.

> Due to the enhanced customer experience from its improved search speed and relevance, Leroy Merlin’s Brazilian team has experienced impressive, measurable results, including:

- **+31%**: “+31% click-through rate”
- **+15%**: “+15% in add-to-cart from search”

> We are finally able to quickly work and see changes fast, and we don’t have to bring in the entire team to make changes,
>
> Wagner Pereira, Search Specialist at Leroy Merlin

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $28 million is printed word for word on the page, near the name of Leroy Merlin.
- Checked: the passage quoted above is copied word for word from the page, near the name of Leroy Merlin.
- Checked: Leroy Merlin uses Algolia. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/leroy-merlin-brasil-algolia · How we check: https://www.usedby.ai/methodology