A SYSTEM THAT PROVIDES OFFERS TAILORED TO CUSTOMER CATEGORIES.

Abstract

This invention relates to a system (1) that enables the determination of customer segmentation based on the top-up data of prepaid line users and the presentation of campaign offers specific to customer segmentation.

Description

1 TARIFF A SYSTEM THAT PROVIDES OFFERS TAILORED TO CUSTOMER CATEGORIES. Technical Area This invention analyzes the top-up data of prepaid line users. Accordingly, determining customer segmentation and tailoring it to customer segmentation. It relates to a system that enables the submission of campaign offers. Previous Tech 10 The current technology tracks the top-up data of prepaid line users. Customer classifications are made based on this upload data. However, the systems that accomplish this are actions taken for different customer classes. It is insufficient in this respect. Therefore, action 15 is specific to customer classes. A new system is needed to enable this. United States Regulation US2012317005, which is included in the known state of the art. a prepaid customer account balance and prepaid in the patent document a preliminary 20 that can be run to store the customer's estimated data usage A system with a payment customer database is described. In the invention... The system processes the prepaid customer account balance and the aforementioned prepayment through the billing system. Communicating current data usage between paid account management systems It has a data connection in order to function. However, the system transmits... Obtaining prepaid customer account balance and current usage data 25 It has a prepayment server to operate. It also has a prepayment server. It can be run to receive the reload of payment amounts. (Previously) payment server, estimated usage data and reloaded payment updating the prepaid customer account balance in response to these amounts, by comparing estimated usage data with actual usage data, the first 30 The payment process reconciles the customer account balance with actual usage data. 2 The operating system included in the invention uses an automated measurement reading database. It can be operated to obtain daily useful usage data. AMR device a meter that calculates the amount of usage and usage via a communication network a counter interface unit that enables data to be connected to remote databases It includes 5. Brief Description of the Invention The purpose of this invention is to allow prepaid line users to top up their lines. According to the data, determining customer segmentation and customer 10 a system that enables the presentation of campaign offers tailored to segmentation to accomplish. Detailed Description of the Invention The "Customer Classification Appropriate" design was implemented to achieve the purpose of this invention. A "Proposal System" is shown in the attached figure; Figure 1. Schematic view of the system described in the invention. The parts shown in the figure are individually numbered, and the corresponding numbers correspond to these numbers. given below: 1. System 2. Database 25 3. Server According to the top-up data of prepaid line users, the customer determining customer segmentation and creating campaigns tailored to customer segmentation. The system of invention that enables the submission of proposals (1); 30 3 -obtained by looking at the frequency with which prepaid line users top up their accounts. keeping records of loading habits and campaign offers at least one database configured to provide (2) and -communicating with database (2) and exchanging data with database (2) 5, which is done according to the loading habits of prepaid line users. To enable the identification of customer segments and customer analysis using machine learning. structured to enable the presentation of campaign offers tailored to their segments It contains at least one server (3). In the system that is the subject of the invention, the database (2) is in communication with the server (3) (1). It is configured to exchange data with the server (3). In the preferred arrangement of the invention, the prepaid line is within the database (2). users in any interval within the 0-30, 30-60, or 60-90 day ranges to ensure that the information regarding the uploaded data is kept on record is structured. The database (2) is structured according to the users' upload frequency and upload 15 keeping a record of customer segment information created according to patterns It is structured to provide the database (2), customer segments. keeping a record of the special offers that will be presented to segments in a matched manner. It is structured to provide this. The server (3) in the system (1) which is the subject of the invention communicates with the database (2) and is configured to access the data in the database (2). Server (3), in the database (2) prepaid line users 0-30, 30-60, 60-90 days It is configured to receive information about the uploads they make within these intervals. Server (3), prepaid line users use machine learning 25 It is structured to identify customer segments based on their habits. Server (3), according to the received upload information, 0-30, 30-60, 60- within the last 90 days A total of 3 times, with at least one instance in each 90-day interval. To register the user who made the installation as a 'regular' user. It is being configured. Server (3), according to the received upload information, 30 in the last 90 days. within any of the following intervals: 0-30, 30-60, 60-90 days, or 4 Any user who has uploaded content in either of these will be marked as an 'irregular' user. It is configured to save. The server (3) is configured according to the received upload information. Within the last 90 days, in no interval from the 0-30, 30-60, or 60-90 day ranges. To register a user who hasn't uploaded anything as a 'silent' user. It is configured. Server (3) analyzes regular user data 5 to enable the user to be presented with a campaign tailored to their customer segment. It is structured to analyze irregular user data. The server (3) By doing this, a campaign specific to the customer segment is determined for the user. It is configured to provide the server (3), silent user. By analyzing the data, the user is offered a campaign tailored to their customer segment. It is structured to ensure that it is identified and presented. Industrial Application of the Invention Thanks to the system (1) which is the subject of the invention, prepaid line users can top up 15 Based on customer segments determined by behavioral frequency and patterns campaign offers tailored specifically to customer segments This ensures that it is presented. The system in question (1) provides the user with information containing data privacy principles and 20 consent is given within the scope of the Personal Data Protection Law (KVKK). It operates. Based on these fundamental concepts, the invention concerns "Offers Suitable for Customer Classes". It is possible to develop a wide variety of applications related to "A System Offering (1)" 25 and the invention cannot be limited to the examples described here, but mainly to the claims as stated.

Claims

REQUESTS 1. According to the top-up data of prepaid line users Identifying customer segmentation and customer segmentation 5 that enable the presentation of special campaign offers. -obtained by looking at the frequency with which prepaid line users top up their accounts. The upload habits and campaign offers received are recorded. at least one database (2) structured to ensure its retention and -communicating with database (2) and exchanging data with database (2) 10, which is done by analyzing the loading habits of prepaid line users. to enable the identification of customer segments and machine learning accordingly to enable the presentation of campaign offers tailored to customer segments a server characterized by containing at least one server (3) configured for system (1).

2. Communicating with server (3) and exchanging data with server (3) characterized by the database structured to perform (2) A system like the one in claim 1 (1).

3. It includes prepaid line users in 0-30, 30-60, and 60-90 day intervals. records information about the upload data made within any given range. with the database structured to ensure that it is kept under (2) A system like the one in Claim 1 or 2, characterized (1).

4. Created based on users' upload frequency and upload patterns. to ensure that customer segment information is kept on record from the above requests characterized by the structured database (2) a system like any other (1).

5. 30 exclusive offers to be presented to segments, matched with customer segments. data structured to ensure that offers are kept on record 6 any of the above claims characterized by its base (2) such a system (1).

6. To communicate with the database (2) and access the data in the database (2). The above 5 is characterized by the server (3) configured to access it. a system like any of the requests (1).

7. In the database (2) prepaid line users 0-30, 30-60, 60-90 days to receive the loading information they made within the specified periods 10 of the above requests characterized by the configured server (3) a system like any other (1).

8. Prepaid line users' use of machine learning structured to identify customer segments based on their habits 15 in any of the above requests characterized by the server (3). such a system (1).

9. According to the loading information received, within the last 90 days: 0-30, 30-60, 60-90 a total of 3 times, at least once in each interval within the specified days. To register the user who made the upload as a 'regular' user: 20 from the above requests characterized by the configured server (3) a system like any other (1).

10. According to the loading information received, within the last 90 days: 0-30, 30-60, 60-90 Loading in any one or both of the day intervals 25 to register the user who did this as an 'irregular' user from the above requests characterized by the configured server (3) a system like any other (1).

11. According to the loading information received, within the last 90 days: 0-30, 30-60, 60-90 30 a user who has not uploaded anything in any of the specified time intervals 7 The server is configured to register as a 'silent' user (3) a system like any of the above characterized claims (1).

12. By analyzing regular user data, the user is identified as a customer. 5 to ensure that a segment-specific campaign is determined and presented from the above requests characterized by the configured server (3) a system like any other (1).

13. By analyzing irregular user data, the user is identified as a customer. 10 to ensure that a segment-specific campaign is determined and presented from the above requests characterized by the configured server (3) a system like any other (1).

14. By analyzing silent user data, the user is identified as a customer. 15 to ensure that a segment-specific campaign is determined and presented from the above requests characterized by the configured server (3) a system like any other (1). 25

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