Boosting Engagement and Efficiency with InstantSearch and Merchandising
September 17, 2024

Boosting Engagement and Efficiency with InstantSearch and Merchandising

Sewes le Roux | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Algolia

We've frequently encountered issues with typos in search queries made by users on our online store. Algolia solves this with its top-tier typo tolerance, ensuring users aren't met with empty search results, which ultimately boosts conversions. Additionally, we've implemented Algolia for personalized search results based on users' past search and click behavior, tailoring the experience to individual preferences. This has significantly enhanced the overall customer experience.

Pros

  • Typo-tolerance
  • Documentation is easy to navigate and all encompassing
  • Easy Integration to frameworks

Cons

  • API integration documentation for Laravel Scout could be improved with more step-by-step examples.
  • For a beginner, its is quite a steep learning curve to implement API's in relating applications.
  • After implementing InstantSearch, our team observed a 24% increase in click-through rate and a 45% boost in conversion rate. Additionally, the bounce rate on category pages dropped by 15% following the introduction of Merchandising.
  • The time to conversion decreased from an average of 4 minutes to just 60 seconds, thanks to accurate search results being instantly delivered to customers' queries, saving them valuable time.

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

We recently needed to added a used-gear section on our website, enabling user to find their items on a database. The issue we had is that we needed a quick and easy way for the users to search any item, which we already have on the db, with typo tolerance. We also needed a centralized point for using the items in search to set the apart from the original search items. With Laravel and Algolia, this was achieved in a well manner.

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