Telecom

  • Subscriber (abonent/user) portrait

    We determine the high-level characteristics of subscribers based on the results of analytical models calculations and complete the billing and call activity data: gender, age, marital status, parental status, income level, interests, susceptibility to offers, social graph parameters, context and forecast of residence place, religion, inclination toward outflow, etc.

  • Subscriber (abonent/user) relationships analysis

    We analyze the connections and interactions between subscribers abonent/user) (social graph) - we determine the subscribers abonent/user) -leaders with a high degree of social activity, subscribers’ abonent/user)  best friends, the community of subscribers abonent/user), subscribers abonent/user) -bridges that connect social groups, we can calculate with a high degree of probability subscribers abonent/user)  , inclination toward outflow and ready to start commercialization.

  • Segmentation of subscribers (abonent/user)

    Our clustering and segmentation models allow us to divide subscribers (abonent/user)  into groups with similar interests and behavioral patterns based on call activity, topics of interest, geographic location, socio-demographic characteristics, and the frequency of triggering of various triggers. The built profile of the target audience can then be expanded using the Look-a-like module to the volumes necessary for high-quality targeting.

  • Optimization

    We optimize message distribution, increase response rates, set up triggers, optimize subscriber lists based on historical data, taking into account:

    • the gender and age structure of subscribers (abonent/user),
    • personal topics for different groups of subscribers (abonent/user),
    • mobile device brands the cultural characteristics of the target regions,
    • (abonent/user)  subscribers Segmentation by interests and behavioral patterns.

  • Experimental module

    Our experimentation module allows you to test the effectiveness of the campaign, to identify the reaction of the target audience to the campaign before it is actually carried out.

  • Geo-targeting

    Based on the movement analysis of an object (home, work, frequently visited places), we can build a recommendation system for goods and services of partner companies.

  • Forecast models, scoring systems

    Evaluation of  marketing campaigns effectiveness, scoring of trust payments, identification of subscribers abonent/user  , probability towards outflow or the beginning of commercialization.

  • Recommendatory systems

    We offer a module for generating recommendations for tariff optimizing and a module for generating recommendations to retain subscribers prone to churn, we set up the logic of interaction with customers through various channels.

  • Trigger setup

    We develop triggers based on real-time network data analysis. Triggers are used to start communication with a specific subscriber abonent/user.

  • Heat mapping

    Designed to visualize the distribution, for example, responses to messages by time of day and day of the week. They allow you to highlight subscriber abonent/user activity zones and group subscribers abonent/user according to effective time ranges.

  • Selection of text messages semantics

    The semantic analysis module of message texts will allow you to suggest keywords that are optimal for a specific group of subscribers abonent/user and triggers that the target audience is most likely to respond positively to.

     It will also be possible to block messages that can be perceived as fraud or spam, to determine the likely reaction of the subscribers abonent/user target groups without physically mailing conducting.

    The automatic suggestions system, created taking into account the experience in digital marketing, will help you to optimize the message text to reduce the subscribers abonent/user negative reaction.

  • Data processing and visualization systems

    Data processing includes operations such as aggregation, obtaining summary characteristics for a certain period, determining the characteristics of a data set depending on the requirements. This allows for dynamic tracking of metrics of interest. We develop and implement methodologies for systematization processing and databases organization.

    We develop the logistics of information flows.

    We visualize the data in a user-friendly form:

    • immersive BI dashboards,
    • heat maps,
    • interactive sites and applications.

    We can integrate the application into the client's CRM/ERP system or set up email notifications about significant market events.