Segmentation

Segmentation allows you to analyze data retroactively to perform data analysis in real time by dividing behaviors of customer into sub-groups of customers (segments) based on some types of shared characteristics (like behaviors of female users between 25-35 years old during the last quarter)

Segmentation-1-example

With segmentation you get a powerful analytic tool that helps you to:


1. Monitor boredom and engagement levels.

For the first time, you have a tool that is able to scientifically analyze engagement levels of customers. If you want to know what’s so revolutionary about this, and the science behind, please, visit our blog. Robbie visio is able to classify emotions known as “basic emotions” but also features that are relevant to other states like boredom, anxiety, and stress: blink rate, pupil size, pupil position / eye gaze, yawn detection, and hand occlusions of the face, amongst others.

This means, that Robbie visio discriminates between any state and dies not derive it from random intuitions.

Segmentation-2-example

How it will help you.

If you’ve made it this far, I’m sure you see the possibilities – by constantly measuring these emotions, you can see how the changes you make affect user behavior. You probably will find bottlenecks in the process. You might find that there’s one aspect of your business with a 90% drop off rate of customers ( that is killing your goals). When you find that out, you can start testing variations and watching your dropoffs.

Fixing the dropoff cause.

The first thing to do is approaching the problem from the point of view of a user. You find for instance, that one of the therapists of your platform provokes an overwhelming 90% of boredom or angriness in your customers. Move through your segmentation timeline and think about the bottlenecks objectively. If you can identify things that annoy you or turn you off, you have a good chance of increasing your retention.

Some possible issues to consider:

  • Is there a specific therapy applied to a specific group of people?
  • Is your hotel doing the check-in a thorough process?
  • Is there specific content used with students that has a negative impact?

By carrying out a quick search in google you can find, lots of research and articles explaining why customer engagement is essential in buying decisions, or health outcomes, as examples. It’s critical to get the starting measurements – engagement and boredom– before you change anything. That’s the only way you can know the effect of the changes you make. By constantly tweaking and measuring, you should be able to really improve every aspect of the business.


2. The ability to drill down on more than one segment.

Segmentation-3-example

Imagine you want to analyze the demographics of users that potentially may schedule more visits, or what are the demographics of students with less engagement levels, or what's the age or gender distribution of specific behaviors.

Robbie allows to breakdown every type of customer. You can define any segments you’d like. And add as many labels as you want in the same analysis.


3. Analyze data that is numeric.

In segmentation you can add numerical data for analysis. First, in the segmentation area, you can breakdown by age, number of visits in 3 months by age segment, etc.

Segmentation-4-example

Segmentation-5-example

Other examples of numeric data you can send us: age, number of visits, weeks since last medication, room name, etc.


4. Retroactive.

And finally, this is retroactive analysis. You can go back in time to analyze anything you need to know.