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Radarly: Socio Demographics - Understanding the Data
Radarly: Socio Demographics - Understanding the Data
Cheyenne V. avatar
Written by Cheyenne V.
Updated over 4 months ago

Gender and Age Identification

Gender identification:

The influencer’s gender is detected by extracting their social handle and name from their social account. This data is then compared with our list of first names (database of known first names from each country) to define their gender

Age identification:

It is defined by comparing the author's first name to another database: a distribution of birth names by year and by country (currently we only have these data for FR and US countries), which allows the tool to assign the median age associated with each first name

Note: If the supposed age contrasts with the information collected (for example, if the first name "Hugo" seems to be 16 years old according to our algorithm, but the user account indicates that he has 3 children), the tool will not take into account the age of this profile.
It will be the same if the first name is intergenerational and it is spread over more than 15 years, we could not define an age group.

This article will cover:


Finding This Information in Radarly

From the search and filters bar, you can contextualize your search by choosing :

  • Author gender

  • Author age

  • Family situation

  • Occupation


Accessing the Demographics View

From the principal view Posts & Analytics, click on the tab at the top center of your screen to switch views and access the custom view Authors

This view will allow you to analyze the data :

  • Demographic distribution (age and country)

  • Distribution of the language used

  • Occupation


Going Further

From Posts & Analytics tab, you can quickly access influencer demographics by clicking on the Countries / Territories widget. This widget presents the list of countries from which the publications were collected.


💡 Tip

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