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WO-2026095825-A1 - METHOD OF VALIDATING ANONYMIZED USER DATA

WO2026095825A1WO 2026095825 A1WO2026095825 A1WO 2026095825A1WO-2026095825-A1

Abstract

A method of validating anonymized user data comprises collecting, from a telephone number database, data about successful and unsuccessful connection attempts made over a long period of time, determining the factors affecting successful contact, normalizing data in a database of user e-mail addresses, checking the syntax of an e-mail address, and determining the existence of the domain to which said e-mail address belongs, wherein if the domain exists, this indicates that messages can be sent to the address. The existence of an electronic mailbox on the given mail server is then checked, and the e-mail address is checked to determine whether it is registered on web resources. Each individual telephone number record and e-mail address record is then updated on the basis of the validation operations performed. The technical result consists in providing more accurate validation of anonymized user data.

Inventors

  • RAZINKOV, Roman Viktorovich
  • MESHCHERYAKOV, Il'ya Aleksandrovich

Assignees

  • ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "БОТТО"

Dates

Publication Date
20260507
Application Date
20241031
Priority Date
20241029

Claims (1)

  1. PC17RU2024/000330 CLAUSES OF THE INVENTION L A method for validating anonymized user data, which includes the steps of: d) in a database of records concerning user telephone numbers: collecting data on successful and unsuccessful communication attempts over an extended period of time, determining factors influencing the success of contact, such as: the frequency of successful calls, the time of day when users most often answer, preferences for communication channels, analyzing the data to which the number is linked, normalizing and determining the type of telephone numbers by converting the telephone number into a string containing only a sequence of digits, as well as by removing all characters except digits, after which checking the converted number for compliance with an international standard using a given template, determining the country and type of telephone number using a database of all international codes, and determining whether the telephone number is still active and belongs to the user or inactive; e) in a database of records concerning user e-mail addresses: normalizing the data by converting the e-mail address record into a uniform format, as well as by excluding extraneous characters from the e-mail address record and cleaning the format of the record; Based on normalized data, the following are performed: validation of the syntax of the email address by checking the correctness of the entry's spelling, taking into account pre-established rules for record formation; determination of the existence of the domain to which the email address belongs, and if the domain exists, this indicates the ability to send emails to this address; verification of the existence of the email box on the specified mail server by sending a request to the specified email server to determine the validity of the specified email address; verification of the email address for its registration on web resources; f) update each individual entry of the telephone number and email address in the database, taking into account the validation operations performed in stages a) and b).

Description

METHOD OF VALIDATION OF ANIMALIZED USER DATA AREA OF TECHNOLOGY The claimed technical solution generally relates to the field of computing technology, and in particular to an automated method for validating anonymized user data. LEVEL OF TECHNOLOGY A well-known technology is the Mindbox cloud-based marketing automation platform, which helps collect and process customer data from online and offline, automate communications, manage them from a single window, and launch omnichannel communications, promotions, or advertising (https://mindbox.ru/). Another example of a customer data platform is the state-of-the-art Twilio Segment platform, which aggregates clean, consistent customer data to generate real-time analytics. Twilio Segment enables data teams to easily prepare, enrich, and activate existing data in the warehouse, enabling marketers to quickly act on personalized communications. In addition, the state of the art includes the HLR or Home Location Register technology, which allows one to check the subscriber's telephone number for activity: whether it exists and is accessible. The disadvantage of known solutions in this area of technology is that they have a number of limitations in personalization, dynamic optimization and real-time analytics compared to the proposed solution: • First, Mindbox focuses primarily on automating existing communication channels, but lacks the functionality to dynamically optimize timing and communication channels based on real-time user portraits. This can lead to insufficiently personalized and less effective campaigns. • Second, Twilio Segment provides tools for collecting and processing data, but data integration and omnichannel communications management require additional resources and technology. This solution does not provide a built-in system for analysis and recommendations for optimizing message sending times based on individual user preferences, which reduces responsiveness and personalization. • Finally, HLR technology is limited to checking the activity of a phone number without providing data on user preferences and other characteristics of the digital portrait, which makes it highly specialized and insufficient for a complete omnichannel strategy. The proposed solution differs from existing technologies in its ability to deliver deep personalization based on a comprehensive analysis of the user's digital profile using anonymized user data, including preferences, behavioral data, and timing patterns. The model considers multiple communication channels (email, SMS, calls, etc.) and automatically selects the most optimal time for communication based on the collected data. This significantly improves the accuracy and effectiveness of interactions, reducing communication costs and increasing target audience response. ESSENCE OF THE INVENTION The proposed technical solution proposes a new approach to validating anonymized user data. It utilizes algorithms for intelligent validation, scoring, and analytics of anonymized user data based on phone numbers and email addresses. The technical result consists in expanding the arsenal of technical means for solutions of this type. An additional technical result achieved by solving this problem is ensuring the efficiency of communications and increasing the accuracy of scoring. The claimed technical result is achieved by implementing a method for validating anonymized user data, which includes the following stages: a) in a database for records concerning user telephone numbers, collect data regarding successful and unsuccessful communication attempts over a long period of time, determine factors influencing the success of contact, such as: the frequency of successful calls, the time of day when users most often answer, preferences for communication channels, analyze the data to which the number is linked, normalize and determine the type of telephone numbers by converting the telephone number into a string containing only a sequence of digits, as well as by removing all characters except digits, after which check the converted number for compliance with the international standard using a given template, determine the country and type of telephone number using a database of all international codes, and determine whether the telephone number is still active and belongs to the user or inactive; b) in the database for records concerning user e-mail addresses: normalize the data by converting the e-mail address record into a unified format, as well as by excluding extraneous characters from the e-mail address record and cleaning the record format; based on the normalized data, check the syntax of the e-mail address by checking the correctness of the spelling of the record, taking into account the pre-established rules for forming the record; determine the existence of the domain to which the e-mail address belongs, and if the domain exists, this indicates the possibility of sending letters to this address; check the existence of