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ManoMano increased their conversion rate by 20% in multiple markets after switching to Algolia

It’s been a pleasure to actually have a project that starts on time, lands on time, and provides results. It’s also nice to have developers that like the technology they’re working on.

Chloé Martinot

Product Manager, team Search @ ManoMano

Introduction

Giving over 2 million aspiring diyers the ability to start

ManoMano is a one-stop-shop for people to find supplies for all things do-it-yourself (DIY), gardening, and home improvement. What began in 2013 as a small group of passionate DIYers in France has since grown to an international team operating in multiple countries throughout Europe. With 1200 merchants selling to 18 million monthly visitors, ManoMano’s mission is to empower people to start DIY projects by making it easy to order the tools they need for projects of all sizes — and all from the comfort of their own couch.

ManoMano
Use case

B2C Ecommerce

Headquarters

Paris, France

Customer since

since 2018

Feature usage

InstantSearch, Query Rules, Analytics

Key results
  • 20% Conversion Rate Increase 

The challenge

  • 1.

    Making DIY projects accessible to people

The solution

  • 1.

    Scale faster and apply changes to search more quickly

The result

  • 1.

    Conversion rates had increased up to 20%

The challenge

For the Search Team at ManoMano, it’s a primary goal to create a good browsing experience for everyone who depends on their site, from shoppers to manufacturers. But ManoMano’s main driver of success has also turned out to be one of their main challenges: making DIY projects accessible to people who aren’t necessarily pros when it comes to home improvement. This means it’s ManoMano’s job to help all users—buyers and sellers—align. Their goal is to help shoppers purchase the right products, even if they’re using the wrong vocabulary to find them. 

ManoMano was using Elastic Search prior to Algolia, a tool that took lot of effort to make functional. Creating basic search features was difficult to do and required expertise and resources that the ManoMano team simply didn’t have. Some basic functions, like the ability to finetune search rankings, were altogether lacking, leading to a poor user experience. In addition, the team encountered bugs while indexing products, resulting in improper indexing and even duplicate items.

The solution

To scale faster and apply changes to search more quickly, ManoMano turned to Algolia, attracted to how easy the technology made it for the search team to iterate on search and rankings, even without involving developers. For example, when ManoMano had an internal data issue that was negatively affecting the search experience, getting a fix up and running took only 50 minutes. In the past, implementing a change like this would have taken days.

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ManoMano was also pleased with how simple everything was to implement, and the caliber of support they have received with Algolia. “We always get the support we need, and we appreciate that we get the answers we need quickly,” said Clement Caillol, Product Manager - ManoMano

The result

ManoMano tested Algolia as the search engine for Italy, Spain, Germany, and the UK. They had originally planned to keep the test going for a month, but after just two weeks, they had enough positive results to make a call: conversion rates had increased up to 20%!

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