Item: Algolia
Rating: 7
Author: Verified User

Use Cases and Deployment Scope

We use Algolia to power Product search on our e commerce websites, so that user can discover the products they would like to purchase easily. The search service is used to suggest most relevant products for the search queries. The Algolia search also uses users past history such as clicks and purchase events to train its models and improve results for further queries.

Pros and Cons

Keyword Search
Product recommendation
Personalisation

Providing flexibility to users to do some customisations
better reporting and analytics

Return on Investment

We have a good conversion (6 to 7%) on Algolia search.

Alternatives Considered

Typesense, Elasticsearch and Apache Solr

Key Insights

Do you think Algolia delivers good value for the price?

Yes

Are you happy with Algolia's feature set?

Yes

Did Algolia live up to sales and marketing promises?

Yes

Did implementation of Algolia go as expected?

Yes

Would you buy Algolia again?

Yes

Likelihood to Recommend

Algolia is best suited in the inital phase of your business, where you have less traffic (less than 100000 per day) coming to your sites. As the traffic grews beyond few million hits, the cost increases exponentially and relevancy tends to decrese. To launch search quickly during the initial phase, Algolia is of great use as you do not have to do any development and you can just plug and play Algolia search. For heavy traffic, you tend to have more control on query formation and search results along with analytics and result re ranking, thats when you decide to build inhouse search service more relevant to your usecase.

Algolia for Ecommerce Search

Overall Satisfaction with Algolia