An explanation of tags and how they are used on the platform
Tags are vital to an application. Tags are how the Mindset Ai platform understands and learns about the groups of people using a product and allows it to adapt the user’s experience to better drive engagement and retention. Setting up your application’s tags is one of the first things you need to do as an application owner.
What are tags and how do they work?
Tags are short descriptors, usually no more than one to three words, that describe categories of content or people expected to use an app. As a user is onboarded, tags are assigned to them. Then as the user interacts with the content, workflows and engagements, additional tags are added to the users profile according to their behaviour.
Once tags are assigned to content, the algorithm can start matching content to the user’s preferences expressed at onboarding. The Mindset Ai platform can then display relevant content and engagements to those end-users that will get the most value from it. The content matching algorithm will aim to deliver content to users where there is the greatest possible overlap between the tags of the contents and the tags of the user.
The Ai engine learns from what a user engages with most and can adjust their experience accordingly - showing more relevant content to keep their engagement high. The platform can also provide insights to the app owner on what content is performing well for whom and can help with how best to serve and engage with them.
Restrictive Tags are a way of delivering content to an individual or a group of people. The aim of this feature is to enable administrators to have stricter control over content distribution and further enable building a totally unique experience for end-users. Content that is tagged with one or more restrictive tags will be delivered only to users who possess the same restrictive tag or set of restrictive tags.
To ensure smooth delivery, we recommend assigning Restrictive Tags sparingly on content, as the more you add to an item the lower the number of people it will be delivered to. Aim at using up to 3 Restrictive Tags per piece of content. Vice versa, the more Restrictive Tags a user possesses the more content with Restrictive Tags they will receive.
How do they differ from the current Tags (General Tags) in the application?
The difference between General Tags and Restrictive Tags lies within how the platform engine matches users with content. A piece of content that has only General Tags will be delivered to a user if they have any General Tag in common. On the other hand, content that has General Tags and a Restrictive Tag will be delivered only to users who possess the same Restrictive Tag.
“Infographic 1” above illustrates how content items with different types of tags would be delivered to users. As seen, the video content item which has the “Manchester” and “Social growth” General Tags assigned, will be delivered to all 3 users because it has at least 1 General Tag in common with each user.
The article, on the other hand, has a “Subscription” Restrictive Tag alongside the “Manchester '' and “Social growth” General Tags. Even though the article and the video have the same set of General tags, the article will be delivered only to User 2 and User 3 because they both possess the “Subscription” Restrictive Tag.Finally, if a piece of content has more than 1 Restrictive Tag assigned to it, users need to match all of them in order to receive that content. For example, as illustrated in “Infographic 1”, only User 3 will receive the survey, because they are the only user in the group who possesses both the “Subscription” and the “Expert user” Restrictive Tags.