Help Center

Content Collector: Gather content for personalized content recommendations

To create personalized content recommendations in BlueConic dialogues, you start by collecting a content store, which is a pool of content to be recommended, using the BlueConic Content Collector Connection. This connection collects data about your content and stores it in a BlueConic content store, which feeds personalization in BlueConic.

Making smarter, more personalized content recommendations

You can use the content items collected through the connection in BlueConic dialogues to make smarter personalized content recommendations. BlueConic recommendations are powered by algorithms and filters you set in the content editor toolbar.

How to create personalized content recommendations using personalized BlueConic content recommendations; BlueConic content store

Configuring the Content Collector to collect items for recommendations

To create a Content Collector connection, select Connections from the main BlueConic menu and click the Add connection button. Search for 'content collector' and create the connection. 

In the metadata section at the top of the page, you can choose whether to get email notifications when the connection runs or fails to run.

To set up the connection, select "Collect data from your channels" in the lefthand panel.

How to collect data in BlueConic to use for personalization, content recommendations, and individualized marketing; BlueConic content store

1. Select the channel(s) to collect content data from.
Optionally, define URL rules to specify which areas of the sites to collect content data from.

2. Manage which data is collected.
Next, paste an article URL into the Test URL field, and click 'Test' to review the metadata that would be collected for your content:

How to use the BlueConic content collector to enable individualized marketing and personalization; BlueConic content store

Note: BlueConic supports multiple date formats. Because some browsers interpret date formats differently, using the ISO 8601 date format is recommended. See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/parse for details

BlueConic requires a number of metadata fields out of the box. Select the checkbox for other metadata fields that are also required.

If required metadata fields are not populated, the webpage may not surface content information in a supported format. The default BlueConic selector will automatically detect:

Providing metadata in one of these standard ways is not only good for the content collector, but it's also good for Google, Facebook, Twitter, and countless other platforms, because it allows these platforms to better understand your content.

Click Default to select an alternative method of retrieving metadata. You can retrieve information from metadata in the HTML, or retrieve it from the HTML using a selector, or using JavaScript.

How to add metadata to content collected for personalization in the BlueConic customer data platform; BlueConic content store

Click Add data field to add custom metadata fields. For example, if your content has a sponsorship association, or is tagged based on overarching stories or topics, influencers, or sources, you can use this data in recommendation placement filtering.

3. Set the algorithm time frame.
Some recommendation algorithms are based on a look-back time frame (for example, Viral articles or recent high CTR). You can configure that time frame here, based on hours or days:

How to set content recommendation algorithm time frames in BlueConic CDP personalization features using the BlueConic content store

For details on how each recommendation algorithm operates, see BlueConic recommendation algorithms.

 4. Set request headers (optional).
To enable content recommendations to be collected from webpages that are under development or behind a login or paywall, you can add HTTP request headers here. Click "Add request header," choose a channel, and add the custom header name and value used to access the content.

How do I use request headers to collect content recommendations behind a paywall using HTTP request headers in BlueConic for personalization? BlueConic content store

Content personalization tips

  1. Make sure images are being scraped properly.
  2. Review article names to be sure appendages do not exist, for example " | Site.com" may be appended to every title depending on where it is being scraped from.

Learn more about BlueConic recommendation algorithms for personalization

For details on the recommendation algorithms that power personalized content recommendations in BlueConic dialogues, see BlueConic recommendation algorithms.

 

Was this article helpful?
0 out of 0 found this helpful