We can suggest the right option with a little information...
Advanced machine learning algorithms optimize on-page engagement.
Absolutely. You can try out the platform by making up to 25,000 recommendation calls per month so you can see if it suits your needs.
Choose from Self-serve or Enterprise plans, all on a monthly subscription.
Self-serve plans are organized across Starter, Blog and Website tiers to help you choose based on your catalogue size and usage needs.
The Enterprise plans are for if you want us to work with you in areas such as trial setup, implementation guidance, commercial advice, and UX best practice. In-person support channels and a service-level agreement guarantees a lasting relationship that will pay dividends.
A content item is any article or page within your catalogue that you want to provide recommendations from and to. Sets of metadata are collected for each content item, which are then stored.
A recommendation call occurs when a set of recommendations is served to your web page. (Technically put, this is achieved via a request to the discovery endpoint of the Bibblio API.)
If you have one Bibblio module on your site, the number of recommendation calls will equate to your number of page views. Two modules on a page means you’ll get twice as many recommendation calls as page views.
No, there are no hidden costs to sign up.
All major debit and credit cards are accepted. For our paying plans, you will be invoiced at the beginning of each month for the previous month.
Once signed up you can get going instantly by adding a code snippet to the pages you wish to recommend from and to. Our snippet wizard lets you choose how you'd like your recommendation module to look and whitelist the domains that house your content.
If you’re on WordPress, you can also get up and running rapidly by using our Wordpress plugin.
Alternatively, you can work with the API itself. Our documentation generates basic scaffold code for each endpoint in a wide variety of languages. You can find it by switching to the console mode on an endpoint, calling the resource, clicking Code Example, then selecting your language.
We can produce recommendations for all languages using the Latin alphabet, and we can generate in-depth semantic analysis for Dutch, English, French, German, Italian, Mandarin, Polish, Portuguese, Russian, Spanish and Swedish.
Yes we are. We do not process any personal information from visitors on a customer's page, and we only process personal information from our customers when strictly necessary to provide our services. We are committed to being fully transparent regarding our processing of customers' data. We are happy to provide a compliance statement upon request.
Bibblio does not drop any cookies on the page. All user tracking is carried out from within the related content module itself, or is sent to us directly by our partners.
Lea is on hand to answer any questions about our monthly plans and how you can get up and running quickly.