TechValidate Research on Algolia


Algolia Case Study

Luminary

Introduction

This case study of Luminary is based on an October 2021 survey of Algolia customers by TechValidate, a 3rd-party research service.

“Integrating sales data with Algolia to help with search results has been extremely valuable.”

“Algolia is a transformational tool and the team love it!”

Challenges

The challenges they were trying to overcome when implementing Algolia:

  • A slow and irrelevant search experience
  • Time consuming manual process of merchandising or curating content
  • Lack of insight into customer site search
  • Cumbersome and time consuming iteration on search

Use Case

The key features and functionalities of Algolia that the surveyed company uses:

  • Business type/industry:
    • Retail e-commerce
    • B2B e-commerce
    • Big content sites for Fintech, super, and NFPs
  • Vendors or solutions they evaluated or replaced prior to selecting Algolia:
    • SolR
  • Parts of their website/app that are powered by Algolia:
    • Site search
    • Category landing pages
    • Product listing pages
  • How their organization leveraged Algolia:
    • Crawler
    • Rules
    • Custom ranking

Results

The surveyed company achieved the following results with Algolia:

The following benefits they’ve realized since implementing Algolia:

  • Fast and more relevant search
  • Reactive and engaging category or product pages
  • Faster time to market
  • Increased pace of innovation

Key results since implementing Algolia:

  • Because of Algolia, the business team is able to self-serve more often without bringing in the developer team.
  • Algolia is a reliable software solution, provides outstanding customer service, and is a partner in achieving our goals.
  • Algolia integrates seamlessly with the tools that they already work with.
  • Because of Algolia, time-to-market and iterations are quick, easy, and seamless.




About This Data

This data was sourced directly from verified users of Algolia by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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