Algolia in San Francisco, California offers enterprise search as a service.
$0
per month 10,000 search requests + 1 Million records
Intellimize
Score 6.0 out of 10
N/A
Intellimize automatically optimizes websites to drive revenue and customer acquisition. The company’s AI dynamically personalizes mobile and desktop websites for each unique visitor in real time.
N/A
Pricing
Algolia
Intellimize
Editions & Modules
Build
$0
per month Up to 10,000 search requests + 1 Million records
Grow
$0.50
per month per 1,000 search requests
Algolia Recommend
$0.60
per month per 1,000 Recommend requests
Premium
Custom
per month Customized pricing
No answers on this topic
Offerings
Pricing Offerings
Algolia
Intellimize
Free Trial
No
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 offers a wide range of capabilities that can benefit any business by addressing their specific requirements. Integrating with this platform is seamless, and their extensive knowledgebase and training resources are highly valuable for both developers and UI users. We have already witnessed the advantages of this product and are eagerly anticipating future enhancements as we continue to expand our platform, with Algolia as our primary tool for enhancing our search experience.
Intellimize has done a great job of targeting our highest trafficked pages. For a demand generation organization it helps provide a lot value for places like the homepage or various high value funnels. Where Intellimize falls short is where we have a specific technology stack that often causes issues for us being able to run tests at scale because some experiments break or fail to run. Please do yourself a favor and evaluate this tool with your development team before purchasing. Single Page Applications do have re-rendering issues given some experiments which lead to run-time issues that need to be heavily QA'd before launch. For teams that are ecommerce or have a typical technology stack (e.g. wordpress and static pages), then Intellimize will probably work without any issues.
CSM and Engineering resources are available with Intellimize and allows us to spend more time thinking about new ideas to implement.
AI/Machine Learning allows winning personalizations to continually run or switch between variants for users that may convert better based on firmographic data
The CSM is a wonderful collaborator and acts as a liaison between Intellimize's engineering team. With their help, I am able to better refine my own testing roadmap.
Recent pricing model changes made Algolia considerably more expensive. I understand that companies change their models all the time, but my plan almost doubled in price overnight. They let me keep my legacy plan for as long as I wanted, but I had already outgrown it, so a small increase in demand caused big price spikes. It's still cheap for what it is though.
The documentation is generally good, but sometimes hard to navigate. I was trying to find examples of how to combine geo-queries with normal ones, and I couldn't find an example, but it wasn't actually hard to figure out.
Some of the advanced features can be hard to understand at first. This isn't really a con, as it just means Algolia is loaded with features, but I was a bit overwhelmed the first time I tried to customize an index.
QA of larger tests that require heavier engineering effort can often run longer than a week and can block the already limited number of tests you can run
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 has a good interface and they have done some improvements. However, some non technical users have a challenging time in the use for the first days of learning. But once the main aspects are learned is a straight forward operation
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
While AWS's offering is a typically cheaper solution, it requires a lot of work to gain any of the core features of Algolia. The cost of dev time and long-term maintenance would be more than the costs incurred with Algolia, which is why it made the most sense financially. On the engineering side, we could give our stakeholders access to Algolia to adjust the indices themselves, which would allow us to focus on other work.
Intellimize is a league above products like VWO and Google Optimize. Simply having the support from an external engineering team gives your web team the freedom and bandwidth to do more. The level of support for Google Optimize is entirely limited, especially if you're using the free version of that product, and I am skeptical of paying Google for the paid version of it since the largest value of the paid version of Optimize, is to simply run more tests. VWO has amazing heatmap and reporting, but severely lacks any Machine Learning or firmographic data. While their support is exceptional, it's not the same as having a dedicated CSM to help plan a roadmap. It's also helpful to note that VWO, Google Optimize, and Intellimize have issues with single page applications. Static websites are likely to run entirely fine without issue.
Overall is a scalable tool as the environment and the backend functions are the same and many things are done directly on the tool so without the need of further specific developments. However some things could be improved such as documentation for integration that could help in doing whitelabel solutions
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.
