The Enterprise package is for businesses that want the whole toolbox.
Building an effective custom content recommendation system from scratch can take years. You need something that you can make your own but that works from day one.
With Bibblio's support you're provided with everything you need, from an out-of-the-box solution to a modular self-build.
The API makes indexing your content simple by either automatically scraping your site or you sending us URLs. If required you can also segregate content into catalogues.
Our algorithms optimize based on context, recency, interaction and user preference. Use them individually or blend them to suit your needs.
During output, you can choose a predefined look and feel for your recommendation modules or easily design your own.
Monitor effectiveness by incorporating our analytics data into your own dashboards.
Drop a code snippet on your pages to scrape your content and display recommendations.
Use our proprietary algorithms individually, blend them together or use them with your own.
Use catalogues to promote revenue-generating sponsored content in specific modules.
Choose from 150 module design combinations that can be further adapted to match your site.
Monitor click tracking and analytics to see how your recommendations are performing.
Download advanced metadata for your content to improve your SEO and internal tagging.
Draw up a custom SLA so we're clear on our expectations.
The Bibblio team is on hand to assist you.
Advanced machine learning algorithms optimize on-page engagement.
Absolutely. You can trial the platform to 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 Enterprise package and how we can set up a trial together.