A method for customer loyalty tracking

Abstract

The invention relates to a method performed by a processor unit (10) associated with at least one memory unit (20) to determine, based on actions taken by at least one user with at least one user device, at least one loyalty score of said user to at least one service provider, and to present personalized content tailored to the user based on said loyalty score.

Description

[0001] A METHOD FOR CUSTOMER LOYALTY TRACKING

[0002] TECHNICAL FIELD

[0003] The invention relates to a loyalty tracking method for determining loyalty scores of users to at least one service provider and presenting personalized content tailored to the user based on said loyalty scores.

[0004] PRIOR ART

[0005] Customer loyalty software refers to a type of software application or platform designed to help businesses implement and manage their customer loyalty programs. Customer loyalty software provides tools and functions to track customer interactions, reward customer loyalty, and analyze customer behavior to improve customer retention and loyalty.

[0006] Customer loyalty software is applications that run on at least one server, either as a web application or a mobile application. Customer loyalty software may have different features, different conditionalities, different reward / offer methods, different communication / interaction methods, different reporting and analytics processes for each service provider. For this reason, different software needs to be developed for each service provider. This situation leads to an increase in costs for service providers. In addition, the server cost allocated for the operation of the customer loyalty software is added to the software cost.

[0007] In addition, the real-time change of the service provider's customers causes customer demands to change, thus leading to the requirement of updating the customer loyalty software. Situations such as the service provider's entry into a new market area or exit from an existing market area also lead to the requirement of updating the customer loyalty software. Such situations also incur software update costs in addition to the costs of existing customer loyalty software.

[0008] As a result, all the above-mentioned problems have made it imperative to make an innovation in the relevant technical field. SUMMARY OF THE INVENTION

[0009] The present invention relates to a method for eliminating the above-mentioned disadvantages and bringing new advantages to the relevant technical field.

[0010] An object of the invention is to introduce a method for determining loyalty scores of users to at least one service provider and presenting personalized content tailored to the user based on said loyalty scores.

[0011] Another object of the invention is to introduce a method for presenting personalized content tailored to the user based on the loyalty scores of both customers and employees.

[0012] Another object of the invention is to introduce a user loyalty tracking method in which software and software update costs are reduced.

[0013] Another object of the invention is to introduce a user loyalty tracking method that reduces hardware costs.

[0014] To achieve all the objects mentioned above and that will emerge from the following detailed description, the present invention relates to a method performed by a processor unit associated with at least one memory unit to determine, based on actions taken by at least one user with at least one user device, at least one loyalty score of said user to at least one service provider, and to present personalized content tailored to the user based on said loyalty score. Accordingly, it is characterized in that it comprises the process steps of;

[0015] • registering the service provider information in at least one service provider database,

[0016] • registering the credentials of users associated with said service provider in at least one of the employee database or customer database, based on whether they are employees or customers,

[0017] • registering the actions taken by the users in at least one action database by associating them with the user credentials and action time information, • determining a loyalty score of the user based on the data in said action database,

[0018] • presenting personalized content tailored to the user based on the loyalty score of said user and the data in the action database.

[0019] Thus, it is ensured that a personalized reward / offer or training plan tailored to the user is presented based on the actions taken by the user. In this way, motivation is increased for users, focusing on customer experiences, targeting desired behaviors, and strengthening the loyalty between users and service providers.

[0020] A possible embodiment of the invention is characterized in that said memory unit and processor unit are components of a server accessed via a network.

[0021] Another possible embodiment of the invention is characterized in that said server is a cloud server. Thus, it is ensured that hardware costs are reduced.

[0022] Another possible embodiment of the invention is characterized in that said process steps are an application running as a software as a service (SaaS) on said cloud server. In this way, it is ensured that the loyalty software designed for the users of more than one service provider serves on the same server. Thus, hardware costs are reduced.

[0023] Another possible embodiment of the invention is characterized in that said process steps are defined in accordance with the microservice architecture of the processor unit. Thus, it is ensured that software and software update costs are reduced.

[0024] Another possible embodiment of the invention is characterized in that, in accordance with said microservice architecture, the processor unit comprises at least one user registration module for each service provider, which enables the credentials of users associated with the service provider to be registered in at least one of an employee database or a customer database, based on their employee or customer status. Thus, it is ensured that the user registration module is suitable for being updated as a microservice.

[0025] Another possible embodiment of the invention is characterized in that, in accordance with said microservice architecture, the processor unit comprises, for each service provider, at least one action registration module for registering the actions taken by the users in at least one action database by associating user credentials information and action time information. Thus, it is ensured that the action registration module is suitable for being updated as a microservice.

[0026] Another possible embodiment of the invention is characterized in that, in accordance with said microservice architecture, the processor unit comprises at least one loyalty score determination module for each service provider, which determines a loyalty score of the user based on data in the action database. Thus, it is ensured that the loyalty score determination module is suitable for being updated as a microservice.

[0027] Another possible embodiment of the invention is characterized in that, in accordance with said microservice architecture, the processor unit comprises a personalization module for each service provider, which delivers personalized content tailored to the user based on the loyalty score of the user and data in the action database. Thus, it is ensured that the personalization module is suitable for being updated as a microservice.

[0028] Another possible embodiment of the invention is characterized in that it comprises the process steps of determining the frequency of actions taken by the user and determining the loyalty score of the user based on the frequency of said actions.

[0029] Another possible embodiment of the invention is characterized in that it comprises the process step of detecting the increase or decrease in the detected action frequency and updating the presentation of content tailored to the user based on the detected action frequency change.

[0030] Another possible embodiment of the invention is characterized in that the actions taken by the user are the purchased service / product or the completed training / task.

[0031] Another possible embodiment of the invention is characterized in that it comprises the process step of presenting the predetermined services / products as content tailored to user based on the services / products purchased by the user. Another possible embodiment of the invention is characterized in that it comprises the process step of learning said predetermined services / products from the past purchase data of the user.

[0032] Another possible embodiment of the invention is characterized in that it comprises the process step of presenting the predetermined training / tasks as content tailored to the user based on the training / tasks completed by the user.

[0033] Another possible embodiment of the invention is characterized in that it comprises the process step of learning said predetermined training / tasks from the past completion data of the users.

[0034] Another possible embodiment of the invention is characterized in that it comprises the process steps of determining the frequency of visits by the user and determining the loyalty score of the user based on the frequency of said visits.

[0035] BRIEF DESCRIPTION OF THE DRAWING

[0036] Fig. 1 shows a representative view of the components that perform the method of the invention.

[0037] DETAILED DESCRIPTION OF THE INVENTION

[0038] In this detailed description, the method of the invention is explained by way of example only for a better understanding of the subject, which shall not create any limiting effect.

[0039] The invention relates to a method for determining loyalty scores of users to at least one service provider and presenting personalized content tailored to the user based on said loyalty scores. Said method is a method that is performed by a processor unit (10) associated with at least one memory unit (20). In a possible embodiment, said processor unit (10) and said memory unit (20) are components of a server known in the art that provides data storage and can perform operations on the stored data. In the preferred embodiment of the invention, said server is a cloud server. Said method comprises the process steps of an application running on a cloud server. Said application here is essentially a loyalty software. Users can access said loyalty software over a network through a user device. Said user device is a device known in the art that has a communication unit for connecting to a network. The user device and network are not shown in the figures. Said network is preferably the Internet. In this way, users can perform their actions by accessing loyalty software over the Internet.

[0040] The method of the invention determines at least one loyalty score of said user to at least one service provider based on the actions taken by at least one user with at least one user device. The method also ensures that personalized content tailored to the user is offered based on the determined loyalty score. The actions performed by said user here are essentially the purchased service / product or the completed train ing / tasks. The method comprises the process steps of registering the service provider information in at least one service provider database (21), and registering the credentials of the users associated with said service provider in at least one of the employee database (22) or customer database (23) based on their employee or customer status. In this way, it is ensured that users go through an authentication step when they log in. The method comprises the process step of registering the actions taken by the users in at least one action database (24) by associating them with the user credentials and action time information. In this way, it is ensured that the frequency of actions and visits of the users is determined. The method comprises the process step of determining a loyalty score of the user based on the data in said action database (24). Said loyalty score is essentially a mathematical ratio. The loyalty score may depend on one or more of the parameters such as the frequency of visits by the user, the duration of the visit, the frequency of purchasing services / products, the volume of purchasing services / products, the frequency of training / task completion, and the volume of training / task completion. The method comprises the process step of presenting personalized content tailored to the user based on the loyalty score of said user and the data in the action database (24). Said personalized content can be content such as rewards, offers, promotions, gifts, training plans.

[0041] In a possible embodiment of the invention, said memory unit (20) and processor unit (10) are components of a server accessed via a network. Said server is preferably a cloud server. In a possible embodiment, said process steps are an application running as software as a service (SaaS) on said cloud server. In a possible embodiment of the invention, said process steps are defined in the processor unit (10) in accordance with the microservice architecture. In a possible embodiment, in accordance with said microservice architecture, the processor unit (10) comprises at least one user registration module (11 ) for each service provider, which enables the credentials of users associated with the service provider to be registered in at least one of an employee database (22) or a customer database (23), based on their employee or customer status. In a possible embodiment, in accordance with said microservice architecture, the processor unit (10) comprises, for each service provider, at least one action registration module (12) for registering the actions taken by the users in at least one action database (24) by associating user credentials information and action time information. In a possible embodiment, in accordance with said microservice architecture, the processor unit (10) comprises at least one loyalty score determination module (13) for each service provider, which determines a loyalty score of the user based on data in the action database (24). In a possible embodiment, in accordance with said microservice architecture, the processor unit (10) comprises a personalization module (14) for each service provider, which delivers personalized content tailored to the user based on the loyalty score of the user and data in the action database (24).

[0042] In a possible embodiment of the invention, the method comprises the process steps of determining the frequency of actions taken by the user and determining the loyalty score of the user based on the frequency of said actions. In a possible embodiment, the method comprises the process step of detecting the increase or decrease in the detected action frequency and updating the presentation of content tailored to the user based on the detected action frequency change.

[0043] In a possible embodiment of the invention, the method comprises the process step of presenting the predetermined services / products as content tailored to user based on the services / products purchased by the user. In a possible embodiment, the method comprises the process step of learning said predetermined services / products from the past purchase data of the user. Said learning process step can be an artificial intelligence algorithm or a machine learning algorithm or a deep learning algorithm or an algorithm provided as a combination thereof, executed by the processor unit. In a possible embodiment of the invention, the method comprises the process step of presenting the predetermined training / tasks as content tailored to the user based on the training / tasks completed by the user. In a possible embodiment, the method comprises the process step of learning said predetermined training / tasks from the past completion data of the users. Said learning process step can be an artificial intelligence algorithm or a machine learning algorithm or a deep learning algorithm or an algorithm provided as a combination thereof, executed by the processor unit.

[0044] In a possible embodiment of the invention, the method comprises the process steps of determining the frequency of visits by the user and determining the loyalty score of the user based on the frequency of said visits.

[0045] The scope of protection of the invention is specified in the appended claims and cannot be limited to what is described for illustrative purposes in this detailed description. It is clear that a person skilled in the art can produce similar embodiments in the light of what is explained above, without deviating from the main theme of the invention.

[0046] REFERENCE NUMERALS GIVEN IN THE DRAWING

[0047] 10 Processor unit

[0048] 11 Data registration module

[0049] 12 Action registration module

[0050] 13 Loyalty score determination module

[0051] 14 Personalization module

[0052] 20 Memory unit

[0053] 21 Service provider database

[0054] 22 Employee database

[0055] 23 Customer database

[0056] 24 Action database

Claims

CLAIMS1 . A method performed by a processor unit (10) associated with at least one memory unit (20) to determine, based on actions taken by at least one user with at least one user device, at least one loyalty score of said user to at least one service provider, and to present personalized content tailored to the user based on said loyalty score, characterized in that it comprises the process steps of:• registering the service provider information in at least one service provider database (21),• registering the credentials of users associated with said service provider in at least one of the employee database (22) or customer database (23), based on whether they are employees or customers,• registering the actions taken by the users in at least one action database (24) by associating them with the user credentials and action time information,• determining a loyalty score of the user based on the data in said action database (24),• presenting personalized content tailored to the user based on the loyalty score of said user and the data in the action database (24).

2. A method according to claim 1 , characterized in that said memory unit (20) and processor unit (10) are components of a server accessed via a network.

3. A method according to claim 2, characterized in that said server is a cloud server.

4. A method according to claim 3, characterized in that said process steps are an application running as a software as a service (SaaS) on said cloud server.

5. A method according to claim 1 , characterized in that said process steps are defined in accordance with the microservice architecture of the processor unit (10).

6. A method according to claim 5, characterized in that, in accordance with said microservice architecture, the processor unit (10) comprises at least one user registration module (11) for each service provider, which enables the credentials of users associated with the service provider to be registered in at least one of anemployee database (22) or a customer database (23), based on their employee or customer status.

7. A method according to claim 5, characterized in that, in accordance with said microservice architecture, the processor unit (10) comprises, for each service provider, at least one action registration module (12) for registering the actions taken by the users in at least one action database (24) by associating user credentials information and action time information.

8. A method according to claim 5, characterized in that, in accordance with said microservice architecture, the processor unit (10) comprises at least one loyalty score determination module (13) for each service provider, which determines a loyalty score of the user based on data in the action database (24).

9. A method according to claim 5, characterized in that, in accordance with said microservice architecture, the processor unit (10) comprises a personalization module (14) for each service provider, which delivers personalized content tailored to the user based on the loyalty score of the user and data in the action database (24).

10. A method according to claim 1 , characterized in that it comprises the process steps of determining the frequency of actions taken by the user and determining the loyalty score of the user based on the frequency of said actions.11 . A method according to claim 11 , characterized in that it comprises the process step of detecting the increase or decrease in the detected action frequency and updating the presentation of content tailored to the user based on the detected action frequency change.

12. A method according to claim 1 , characterized in that the actions taken by the user are the purchased service / product or the completed training / task.

13. A method according to claim 12, characterized in that it comprises the process step of presenting the predetermined services / products as content tailored to user based on the services / products purchased by the user.

14. A method according to claim 13, characterized in that it comprises the process step of learning said predetermined services / products from the past purchase data of the user.

15. A method according to claim 12, characterized in that it comprises the process step of presenting the predetermined training / tasks as content tailored to the user based on the training / tasks completed by the user.

16. A method according to claim 15, characterized in that it comprises the process step of learning said predetermined training / tasks from the past completion data of the users.

17. A method according to claim 1 , characterized in that it comprises the process steps of determining the frequency of visits by the user and determining the loyalty score of the user based on the frequency of said visits.

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