Algolia offers AI-powered solutions to improve online search and discovery experiences, with tools for business teams and APIs for developers that help to improve user engagement and conversions across websites, apps, and e-commerce platforms.
$0
for 10k search requests + 100k records per month
Rebuy Engine
Score 9.1 out of 10
N/A
Rebuy is a personalization engine used to accelerate revenue growth for Shopify store owners. Users can create personalized on-site experiences for customers, to convert more traffic.
$99
per month
Pricing
Algolia
Rebuy Engine
Editions & Modules
Build
Free
Up to 10,000 search requests + 1 Million records
Grow Plus
Free to start, then pay-as-you-go
10,000 search requests/month and 100,000 records included; $1.75 per additional 1K search requests and $0.40 per additional 1K records
Grow
Free to start, then pay-as-you-go
10,000 search requests/month and 100,000 records included; $0.50 per additional 1K search requests and $0.40 per additional 1K records
Elevate
custom
per year
Elevate
Custom
Custom Custom search requests and records; volume-based discounts available
Starter
$99
per month Up to 1,000 Orders Per Month
Scale
$249
per month Up to 2,500 Orders Per Month
Pro
$449
per month Up to 5,000 Orders Per Month
Grow
$749
per month Up to 7,500 Orders Per Month
Enterprise
$999
per month Unlimited Orders Per Month
Offerings
Pricing Offerings
Algolia
Rebuy Engine
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
Algolia is both well-suited to replace Shopify's out-of-the-box search and to very large sites with millions of products in their catalog. Algolia provides a specialized solution that benefits from very large R&D budgets and ongoing investment. Algolia offers a more retail- and open-design solution than competitors such as Amazon or Google search, which offer fewer options and fewer features.
Rebuy Engine is an excellent service for any multi-product eCommerce store looking to boost its AOV (and therefore margin on every order). It also works very well at boosting subscription opt-in rate. It integrates very easily on any Shopify store, allowing non-technical people to set it up, but providing additional depth for technical people to take it to the next level.
Users get instant feedback as they type, even with complex filters like brand, model, price range, and financing eligibility. This speed significantly improves engagement and reduces bounce.
A user searching for “Camry 2020” or even “Camary 20” still sees relevant Toyota Camry listings from 2020. This reduces friction, especially on mobile where spelling errors are common.
Algolia handles multi-faceted filters efficiently. For example, a user can filter by location, transmission type, color, or inspection status without any lag.
We fine-tune the ranking of search results based on what matters to our business—like prioritizing cars with higher margins or better availability in key cities.
We can experiment with different ranking formulas or UI variations to improve KPIs like lead conversion or time-to-first-interaction.
Better integration of features (ex. synonyms feature is great but isn't respected by their re-ranking product)
Tooling to reduce spam search queries being triaged by system/logged to analytics panels
More automated summaries of analytics (ie. recommend synonyms to add, trends noticed in search volume in specific areas of site, easier ways to leverage API vs using website UI)
Algolia is a great tool, we didn't have to build a custom search platform (using Elasticsearch for example) for a while. It has great flexibility and the set of libraries and SDKs make using it really easy. However, there are two major blockers for our future: - Their pricing it's still a bit hard to predict (when you are used to other kind of metrics for usage) so I really recommend to take a look at it first. - Integrating it within a CI/CD pipeline is difficult to replicate staging/development environments based on Production.
Algolia is very intuitive to use, especially the Merchandising Studio. The application provides a virtually seamless view of how product will appear on the frontend and making adjustments is fluid and reflects immediately online. Some slow-down occurs when you have a lot of rules enabled or are pinning / boosting a lot of product. But overall it functions very solidly.
Rebuy Engine is easy to install and use. Its default configurations are excellent. More detailed customization is aided by having an understanding of if/else style conditional logic.
Performance is always a major concern when integrating services with our client's websites. Our tests and real-world experience show that Algolia is highly performant. We have more extremely satisfied with the speed of both the search service APIs and the backend administrative and analytic interface.
It’s non existent. No tech support and no customer service… my application was blocked and is currently inactive causing huge business disruption, and I’m still waiting days later for a response to an issue which could be resolved very very quickly if only they would respond. Very poor from a company of that size
Algolia gives way more control for a non-developer than AWS Elasticsearch Service. Previously we'd have to have our developers make adjustments to site search relevancy, typos, prioritizing certain attributes over others, etc. but now the marketing and website team can do that themselves in the Algolia dashboard
Rebuy Engine is easier to install and configure and we have more ability to customize on our own. Rebuy Engine is also easier to a la carte features as you need them - Searchspring kinda dumps everything on you and if you don't use something, too bad, you're paying for it anyways. Rebuy Engine also does more than Searchspring.
Algolia has been a consistent product that works flawless with very few errors or downtime. With the plan options it’s very easy for us to scale especially with this usage pricing. We have 100% gotten our ROI on this product.
Users who had abandoned our product (attributing slow search speeds as the reason) returned to us thanks to Algolia
We used Algolia as our product's backbone to relaunch it, making it the center of all search on our platform which paid off massively.
Considering we relaunched our product, with Aloglia functioning as its engine, we got a lot of press coverage for our highly improved search speeds.
One negative would be how important it is to read the fine print when it comes to the technical documentation. As pricing is done on the basis of records and indexes, it is not made apparent that there is a size limit for your records or how quickly these numbers can increase for any particular use case. Be very wary of these as they can quite easily exceed your allotted budget for the product.
