A system providing offers suitable for customer classes

Abstract

The present invention relates to a system (1) for determining the customer segmentation of prepaid line users according to the top-up data in their lines and providing campaign offers specific to the customer segmentation.

Description

[0001] A SYSTEM PROVIDING OFFERS SUITABLE FOR CUSTOMER CLASSES

[0002] Technical Field

[0003] The present invention relates to a system for determining the customer segmentation of prepaid line users according to the top-up data in their lines and providing campaign offers specific to the customer segmentation.

[0004] Background of the Invention

[0005] In the current technique, the top-up data of prepaid line users are tracked and customer classifications are made according to this top-up data. However, the systems which realize this are insufficient in terms of the actions taken for customer classes. Therefore, there is a need for a new system which enables actions to be taken specific to customer classes.

[0006] The United States patent document no. US2012317005, an application included in the state of the art, discloses a system having a prepay customer database operable to store a prepay customer account balance and an estimated data usage of a prepayment prepay. The inventive system has a data link operable to transmit the prepay customer account balance and an actual usage data of the prepay customer between the prepay account management system and the billing system. Additionally, the system has a prepay server operable to receive the transmitted prepay customer account balance and the actual usage data. Also, the prepay server is operable to receive replenishing payment amounts. The prepay server updates the balance of the prepay customer account in response to the estimated usage data and the replenishing payment amounts and it reconciled the balance of the prepay customer account with the actual usage data of the prepay customer by comparing the estimated usage data with the actual usage data. The usage system included in the invention is operable to account daily utility usage data from an automatic meter reading database. The AMR device comprises a meter for calculating the usage and a meter interface unit for connecting the usage data to remote databases via a communi cati on network .

[0007] Summary of the Invention

[0008] An objective of the present invention is to realize a system for determining the customer segmentation of prepaid line users according to the top-up data in their lines and providing campaign offers specific to the customer segmentation.

[0009] Detailed Description of the Invention

[0010] “A System Providing Offers Suitable for Customer Classes” realized to fulfil the objective of the present invention is shown in the figure attached, in which:

[0011] Figure l is a schematic view of the inventive system.

[0012] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0013] 1. System

[0014] 2. Database

[0015] 3. Server

[0016] The inventive system (1) for determining the customer segmentation of prepaid line users according to the top-up data in their lines and providing campaign offers specific to the customer segmentation, comprises at least one database (2) which is configured to keep record of the top-up habits and the campaign offers of prepaid line users based on the frequency of top-ups; and at least one server (3) which is in communication with the database (2) and realizes data exchange with the database (2), and is configured to identify customer segments according to the loading habits of prepaid line users and to provide special campaign offers to customer segments via machine learning.

[0017] The database (2) included in the inventive system (1) is in communication with the server (3) and is configured to realize data exchange with the server (3). In one preferred embodiment of the invention, the database (2) is configured to keep record of the information of the upload data of the prepaid line users at any interval within the intervals of 0-30, 30-60, 60-90 days. The database (2) is configured to keep record of the customer segment information generated according to the upload frequency and the upload patterns of the users. The database (2) is configured to keep a of special offers to be presented to the segments, matched to the customer segments.

[0018] The server (3) included in the inventive system (1) is configured to establish communication with the database (2) and to access the data in the database (2). The server (3) is configured to receive the upload information of the prepaid line users in the database (2) within the intervals of 0-30, 30-60, 60-90 days. The server (3) is configured to identify the customer segments of prepaid line users based on their usage habits by using machine learning. The server (3) is configured to register the user who has topped up 3 times in total, at least 1 time in each interval, within the last 90 days within the intervals of 0-30, 30-60, 60-90 days according to the top-up information received, as a 'regular' user. The server (3) is configured to register as an 'irregular' user a user who has uploaded in any one or any two of the intervals 0- 30, 30-60, 60-90 days in the last 90 days based on the upload information received. The server (3) is configured to register a user who, according to the received upload information, has not uploaded in any of the intervals 0-30, 30-60, 60-90 days in the last 90 days, as a 'silent' user. The server (3) is configured to determine and then present a campaign -that is specific to the customer segment- to the user, by analysing the regular user data. The server (3) is configured to determine and then present a customer segment-specific campaign to the user, by analysing the irregular user data. The server (3) is configured to determine and then present a customer segment-specific campaign to the user, by analysing the silent user data.

[0019] Industrial Application of the Invention

[0020] With the inventive system (1), it is possible to present campaign offers which are prepared specific to customer segments in accordance with the customer segments determined according to the top-up behavior frequency and patterns of prepaid line users.

[0021] The inventive system (1) submit information and approval comprising the principles of data privacy to the user and it operates within the scope of the Personal Data Protection Law (KVKK).

[0022] Within these basic concepts; it is possible to develop various embodiments of the inventive “System (1) Providing Offers Suitable for Customer Classes”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) for determining the customer segmentation of prepaid line users according to the top-up data in their lines and providing campaign offers specific to the customer segmentation; characterized in that it comprises at least one database (2) which is configured to keep record of the top-up habits and the campaign offers of prepaid line users based on the frequency of top-ups; and at least one server (3) which is in communication with the database (2) and realizes data exchange with the database (2), and is configured to identify customer segments according to the loading habits of prepaid line users and to provide special campaign offers to customer segments via machine learning.

2. A system (1) according to Claim 1 ; characterized by the database (2) which is in communication with the server (3) and is configured to realize data exchange with the server (3).

3. A system (1) according to Claim 1 or 2; characterized by the database (2) which is configured to keep record of the information of the upload data of the prepaid line users at any interval within the intervals of 0-30, 30-60, 60- 90 days.

4. A system (1) according to any of the preceding claims; characterized by the database (2) which is configured to keep record of the customer segment information generated according to the upload frequency and the upload patterns of the users.

5. A system (1) according to any of the preceding claims; characterized by the database (2) which is configured to keep a of special offers to be presented to the segments, matched to the customer segments.

6. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to establish communication with the database (2) and to access the data in the database (2).

7. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to receive the upload information of the prepaid line users in the database (2) within the intervals of 0-30, 30-60, 60- 90 days.

8. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to identify the customer segments of prepaid line users based on their usage habits by using machine learning.

9. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to register the user who has topped up 3 times in total, at least 1 time in each interval, within the last 90 days within the intervals of 0-30, 30-60, 60-90 days according to the top-up information received, as a 'regular' user.

10. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to register as an 'irregular' user a user who has uploaded in any one or any two of the intervals 0-30, 30-60, 60-90 days in the last 90 days based on the upload information received.

11. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to register a user who, according to thereceived upload information, has not uploaded in any of the intervals 0-30, 30-60, 60-90 days in the last 90 days, as a 'silent' user.

12. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to determine and then present a campaign-that is specific to the customer segment- to the user, by analysing the regular user data.

13. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to determine and then present a customer segment-specific campaign to the user, by analysing the irregular user data.

14. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to determine and then present a customer segment-specific campaign to the user, by analysing the silent user data.

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