Lytics makes it possible to recommend content to a user based on their affinity for certain types of content, linking them directly to the content they value, increasing engagement. Lytics content affinity engine automatically scans and categorizes the content that is associated with each page on your site producing a topic taxonomy. Users who visit each page are then mapped against that semantic understanding of your site’s content producing a user affinity score for each content topic within your site.
You can create a Recommend Content Experience by following these steps but the keys to creating an effective recommended content campaign are building an audience and content collection.
You can use the Content Affinity tab of the audience builder to build an audience of users who show interest in a particular group of Topics (what Lytics calls an Affinity). Then, that audience can be used to target users with the desired Affinity in a personalized Experience.
- From your Lytics dashboard select Audience.
- Click Create New Audience.
- Select the Content Affinity tab.
- Select the Affinity you would like to target.
- Any Affinity is selected by default. You can adjust the affinity score range to refine the users who will be targeted or select one of the predefined ranges.
- In the Name your audience... field, give your audience a descriptive name.
- Select Enable API Access.
- In the ID field, enter an audience ID.
- Click Save.
Audience with any affinity for articles about "data science"
This audience can now be used in a Recommend Content (or any other) campaign to target users who have the desired level of interest for your chosen Affinity. You can combine multiple rules and rulesets to create highly refined audiences. You are also not limited to audiences based on content affinity, see the Audiences section for other options.
Content collections give you the ability to group content together that you can then recommend in your campaigns. Collections can be a group of articles related by Affinities, Topics, recently published, author, hand picked by you, or a combination of any of these criteria. In addition, these collections can be dynamic. Content in a dynamic collection will be added to or removed automatically when they match or fail to match your criteria. For more information, see Content Collections.
Content collection grouping article related to "data science" on learn.lytics.com.
Next, you’ll need to navigate to the Experiences tab and pick the "Recommend Content" tactic for Lytics. The first step will be to choose the content collection you want to feature:
Next, select whether you want this to be based on a user's interests ("Highest Affinity"), content or product freshness ("Freshness"), or what a user has engaged with most recently ("Last Interaction"):
Don’t forget to give your Experience a name. See our Experience editor documentation for step-by-step instructions.
Updated 8 months ago