Motivational and Behavioral Classes for User Segmentation

#1
Hi everyone,

In the course of a research project with a sample size of > 1000, I intend to first group users in unique motivation/motive classes. These will be derived from qualitative user statements which are manually attributed to multiple binary motivation items- min 5 up to 10 items such as Social, Enjoyment, Achievement or Fitness; multiple occurrences are possible. As the data appears at the moment, users would often state single motivations such as „fun“ or two motives such as a combination of „fun“, „achievement“. Anyway, all combinations are possible. What statistical method is useful in that respect to associate an individual user with a specific motivation class?

As a second dimension for the segmentation analysis, I would like to derive behavioral classes based on mixed variables such as intensity of sport consumption/week, number of different sports types consumed as well as binarily coded variables such as paid subscription (yes/no). Again, what statistical method/clustering approach would be feasible for this kind of data?

In the end, I would like to derive dominant user typologies conducting a cross tabulation of motivational and behavioral user classes.

What kind of software tools and other (online) resources would you recommend to take into consideration for such a research project. Thanks in advance for your support and sharing any valuable information you may be able to contribute.
 

Karabiner

TS Contributor
#2
Anyway, all combinations are possible. What statistical method is useful in that respect to associate an individual user with a specific motivation class?
Configural frequency analysis.
As a second dimension for the segmentation analysis, I would like to derive behavioral classes based on mixed variables such as intensity of sport consumption/week, number of different sports types consumed as well as binarily coded variables such as paid subscription (yes/no). Again, what statistical method/clustering approach would be feasible for this kind of data?
I am not very familiar with the latest cluster analytical techniques
but I guess that some research will lead you to resources about
cluster analyses with mixed type variables.
In the end, I would like to derive dominant user typologies conducting a cross tabulation of motivational and behavioral user classes.
Since both typologies will be derived from exploratory analyses,
you should perhaps also perform some cross-validation first.

With kind regards

K.