Profile Matching

A technology for integrating user data into one profile from different social networks. Used to get as much information as possible to create a social profile.

About the technology

  • It uses data from social networks— Facebook, LinkedIn, VKontakte, and Moy Mir.
  • Regular profile data updates.
  • Results are +99% accurate.

Profile Matching in practice

About the algorithm

A machine learning method (classification task) is used to solve this task. The profile’s publicly available data is used as factors— sex, age, place of residence, education, job, etc.

In products

In advertising

Other technologies

  • User Interests Mining

    Mining social media user interests based on their behavior. More than 250 different interests

  • Customer Profiling

    Determination of the social media user’s social and demographic profile

  • Social Network Search

    Search company clients on social media by telephone and/or e-mail for research and advertising purposes

  • Sentiment Analysis

    Determination of the tone of the text and identification of +30 basic emotions, including sadness, surprise, desire, etc.

  • Topic Categorization

    Text categorization by +200 topics such as sports, real estate, finance, etc.

  • User Data Matching

    Used to match social media user profiles with user data in free form 

  • Look-alike

    Search social media users that look like business clients or a certain audience