The “Information” tab on your Facebook page will help you collect more detailed information. Special platforms (Keyhole, Buffer, etc.) are used to automate data collection. It is enough to analyze a couple of dozen profiles, and you will get an idea of how your clients live.
Facebook Ads Manager
What if you have your clients' contact information (phone number, email address), but their gender, age, education, marital status remain a mystery? You will find all this data (and even more) in the Facebook advertising account. As updates are made, the popular social network accumulates more and more information about users and can now share with you such nuances as average income level or car ownership. So, to take advantage of these opportunities, it is enough to:
go to Ads Manager and in the “Resources” block select the “Audiences” tab;
select the “Custom Audience” type and create an audience;
choose one of the ways el salvador email list to create an audience from website or application users, including “Customer List”;
Upload a file with contacts in CSV or TXT format.
Now Facebook's job is to scan the list and generate socio-demographic information about the people on it.
To further simplify working with audiences in Facebook Ads Manager and eSputnik, set up the integration of services.
Facebook Ads Manager
SimilarWeb
This service will allow you to conduct a preliminary analysis of some important parameters of the site (application). SimilarWeb information is not 100% accurate, but it can be used as a basis for forming a marketing profile of the company's client. In addition, with the help of SimilarWeb, you can track the indicators of competitors, thus supplementing your understanding of the target audience.
By using this resource, you will learn:
what product categories are of interest to customers;
what search queries do users use to find the company;
what popular social networks are linked to your website (application);
main traffic sources, etc.
Mailing service
When sending out newsletters, your system already has information about the behavior of subscribers. Use it to segment the base and fill user profiles with relevant details. What data are we talking about? First of all, this is the frequency of purchases, the average check, the preferred channel and activity in it (how willingly they click, whether they read newsletter.