Dynamic marketing interaction and privacy security data collection method and system

Abstract

The invention relates to the technical field of dynamic marketing interaction, and discloses a dynamic marketing interaction and privacy security data collection method and system, and the method comprises the steps: S1, implanting an NFC tag for an entity product, writing a unique virtual address into each tag, and enabling the addresses to point to a unified background program; s2, after a user reads the tag through the mobile device, skipping to an online platform and authorizing part of personal information; and S3, the background dynamically associates the marketing content according to the unique label identifier, and records user interaction behavior data. According to the method, the content is flexibly updated through the unique identifier URL and a background dynamic mapping mechanism; user privacy is guaranteed by combining encryption and desensitization technologies; the merchant access range is controlled through hierarchical data authority, a safe and extensible marketing data closed loop is finally constructed, and the problems of content solidification, data closed loop missing, privacy risks and the like are solved.

Description

Technical Field

[0001] The present invention belongs to the field of dynamic marketing interaction technology, and in particular, relates to a dynamic marketing interaction and privacy security data collection method and system. Background Art

[0002] Dynamic marketing interaction is an important strategy in the field of marketing. It emphasizes interacting with consumers in a dynamic way in multi-dimensional space and multiple gravity to achieve marketing goals. The following is a detailed explanation of dynamic marketing interaction:

[0003] NFC, or Near Field Communication, is a short-range, high-frequency wireless communication technology that allows electronic devices to exchange data when they are close to each other. NFC technology is an integration of contactless radio frequency identification and interconnection technology. It has the characteristics of short distance, high bandwidth, and low energy consumption. It has been widely used in many fields such as mobile payment, access control systems, data transmission, electronic ticketing, anti-counterfeiting and traceability.

[0004] A Chinese patent discloses a method for delivering marketing interactive information to designated consumers and a wearable electronic device, with the announcement number: CN119398808A, wherein the NFC tag built into the wearable electronic device initially stores a login page of a Web server, and can be updated to a Web server query page for marketing interactive information. Aiming at the business scenario of marketing personnel conducting marketing interactions with designated consumers, the present invention independently develops a method for delivering marketing interactive information with designated recipients, realizes the input, storage and reading of marketing interactive business data through NFC, and marketing personnel conduct marketing interactive business with designated consumers through the marketing interactive information processing method with the help of NFC. Since only the designated specific terminal consumers can read the marketing interactive business information through the marketing interactive information processing method with the help of NFC, the user experience of the terminal consumers can be significantly improved.

[0005] The problem with the above technology is that in the existing technology, the marketing application of NFC tags is mostly limited to static information display (such as fixed link jump), and has the following defects: content solidification, lack of data closed loop and privacy risks. Summary of the invention

[0006] In view of the problems existing in the prior art, the present invention provides a dynamic marketing interaction and privacy security data collection method and system that can overcome the above problems or at least partially solve the above problems.

[0007] The present invention is implemented as follows: a dynamic marketing interaction and privacy security data collection method and system, comprising:

[0008] S1. Embed NFC tags into physical products, write a unique virtual address into each tag, and the address points to a unified background program;

[0009] S2. After the user reads the tag through a mobile device, jump to the online platform and authorize some personal information;

[0010] S3. The background dynamically associates marketing content according to the unique identifier of the tag and records user interaction behavior data;

[0011] S4. Merchants modify the content through the management background according to the tag identifier or grouping, and can only access the anonymized aggregated data;

[0012] S5. The platform encrypts the transmission and stores the sensitive information of the user in an anonymized manner, and generates a population portrait based on the authorized data through a machine learning model.

[0013] S6. Adjust the subsequent tag content distribution strategy according to the data analysis results to form a closed-loop optimization process.

[0014] Preferably, in the present invention, the virtual address is a URL containing a unique code, and the background maps to the dynamic content resource through the code.

[0015] Preferably, in the present invention, data anonymization includes: converting the mobile phone number into an irreversible hash value and performing precision blurring processing on the geographical location.

[0016] Preferably, in the present invention, the machine learning model includes at least one of a clustering algorithm, a decision tree, or a neural network, and the closed-loop optimization process includes:

[0017] Initial preset marketing content;

[0018] Collect user interaction data and analyze the content effect;

[0019] Dynamically adjust the content of un-reached or inefficient tags according to the analysis results.

[0020] 6. The present invention is implemented as a dynamic marketing interaction and privacy security data collection system, and the system includes,

[0021] NFC tag management module, used to generate a unique identifier and a virtual address;

[0022] Dynamic content distribution module, returns the corresponding updatable marketing content according to the tag identifier;

[0023] Data security module, including an encryption transmission unit, a data anonymization unit, and a permission control unit;

[0024] Portrait analysis module, generates user classification tags based on a machine learning model.

[0025] Preferably, the permission control unit restricts merchants to only operate their own label groups and view desensitized statistical data.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0027] Through the unique identifier URL and background dynamic mapping mechanism, the present invention realizes flexible content update; combines encryption and desensitization technologies to protect user privacy; controls the merchant access scope through hierarchical data permissions, and finally constructs a secure and scalable marketing data closed-loop, solving the problems of content solidification: the distributed NFC tags cannot be dynamically adjusted according to marketing needs; lack of data closed-loop: lack of continuous tracking and multi-dimensional analysis capabilities for user interaction behaviors; privacy risks: there are potential risks of leakage during the storage and transmission of user data, and merchants may access sensitive information beyond their authority. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a flowchart of the method provided by an embodiment of the present invention;

[0029] Figure 2 is a system architecture diagram provided by an embodiment of the present invention;

[0030] Figure 3 is a schematic diagram of the merchant background interface provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] To further understand the content, features and effects of the present invention, the following embodiments are exemplified and described in detail in conjunction with the accompanying drawings.

[0032] The structure of the present invention will be described in detail below with reference to the accompanying drawings.

[0033] As Figures 1 to 3 shown, a dynamic marketing interaction and privacy security data collection method and system provided by an embodiment of the present invention include:

[0034] S1. Implant an NFC tag into an entity product, and write a unique virtual address into each tag, and the address points to a unified background program;

[0035] S2. After the user reads the tag through a mobile device, jump to an online platform and authorize some personal information;

[0036] S3. The background dynamically associates marketing content according to the unique identifier of the tag and records user interaction behavior data;

[0037] S4. Merchants modify the content according to the tag identifier or group through the management background, and can only access the desensitized aggregated data;

[0038] S5. The platform encrypts the transmission of users' sensitive information and stores it in a desensitized manner, and generates a population portrait based on the authorized data through a machine learning model.

[0039] S6. Adjust the subsequent label content distribution strategy according to the data analysis results to form a closed-loop optimization process.

[0040] Preferably, in the present invention, the virtual address is a URL containing a unique code, and the background maps to the dynamic content resource through the code.

[0041] Preferably, in the present invention, data desensitization includes: converting the mobile phone number into an irreversible hash value and performing precision blurring processing on the geographical location.

[0042] Preferably, in the present invention, the machine learning model includes at least one of a clustering algorithm, a decision tree, or a neural network, and the closed-loop optimization process includes:

[0043] Initial preset marketing content;

[0044] Collect user interaction data and analyze the content effect;

[0045] Dynamically adjust the content of un-reached or low-efficiency labels according to the analysis results.

[0046] NFC label management module, used to generate a unique identifier and a virtual address;

[0047] Dynamic content distribution module, returns the corresponding updatable marketing content according to the label identifier;

[0048] Data security module, including an encryption transmission unit, a data desensitization unit, and a permission control unit;

[0049] Portrait analysis module, generates user classification labels based on the machine learning model.

[0050] The permission control unit restricts merchants to only operate their own label groups and view desensitized statistical data.

[0051] Embodiment 1

[0052] Dynamic red envelope marketing activity

[0053] 1. Label initialization:

[0054] A certain beverage brand produces 100,000 bottles of limited-edition beverages, and NFC tags are implanted on the bottle bodies, and each tag writes a unique URL.

[0055] The background divides the tags into three groups:

[0056] Group A (30,000): Associated with "scan code to draw a lottery", and the prize is an electronic coupon;

[0057] Group B (50,000): Associated with "brand story video";

[0058] Group C (20,000): Associated with "member points redemption".

[0059] 2. User interaction:

[0060] After the user purchases a drink and touches the tag, authorizes the mobile phone number to participate in the lottery, and the winning rate is 10%;

[0061] Users who do not win the lottery will be automatically redirected to the brand questionnaire, and will be rewarded with 5 points after filling it out.

[0062] 3. Dynamic adjustment:

[0063] In the later stage of the event, the merchant will change the content of the untouched tags in Group A (about 20,000) to "new product tasting appointment". After the user scans the code, they can make an appointment for an offline experience.

[0064] 4. Data analysis:

[0065] Analysis by the machine learning model shows that users aged 18-25 prefer lotteries, and users aged 26-35 prefer points redemption;

[0066] Based on this, adjust the content distribution of the next batch of tags to increase the conversion rate by 15%.

[0067] Example 2

[0068] Car test drive drainage

[0069] 1. Tag deployment:

[0070] A certain car 4S store customizes NFC metal car logos, implants tags and pastes them on test drive vehicles.

[0071] The URL of each tag is associated with the "test drive appointment" mini-program page, and the vehicle model is recorded.

[0072] 2. User interaction:

[0073] After potential customers touch the car logo, authorize their geographical location and contact information to make an appointment for a test drive time;

[0074] After the test drive is completed, the customer scans the code to fill out a feedback form and gets a after-sales service package.

[0075] 3. Dynamic adjustment:

[0076] For customers who have not made an appointment, the background will change the tag content to a link of "online VR car viewing" to attract remote experience.

[0077] 4. Data analysis:

[0078] Analyze user behavior through a neural network model to identify high-intent customers (such as visiting the parameter page multiple times and the stay duration > 3 minutes);

[0079] The sales team conducts targeted follow-up, increasing the conversion rate by 20%.

[0080] Example Three

[0081] A membership acquisition campaign for a beauty brand

[0082] Initial settings:

[0083] Batch A (10,000 tags): Associated with "Newcomer Package";

[0084] Batch B (10,000 tags): Associated with "Beauty Tutorial Videos".

[0085] Data analysis:

[0086] The conversion rate of Batch A is 25%, and the users are mainly aged 18 - 24;

[0087] The conversion rate of Batch B is 8%, but the user retention time exceeds 1 minute.

[0088] Dynamic adjustment:

[0089] Change the content of the 9,200 un-reached tags in Batch B to "Newcomer Package + Tutorial Recommendation";

[0090] The conversion rate of the new content combination is increased to 35%, and at the same time, the tutorial viewing rate is increased by 50%.

[0091] Secondary optimization:

[0092] According to the user retention time data, push "Advanced Tutorial" to high-interaction users, and the conversion rate is further increased to 42%.

[0093] The technical solution of the present invention: Technical solution

[0094] (I) Core method steps

[0095] (1) Bind NFC tag with unique URL:

[0096] Each physical product (such as a keychain) is implanted with an NFC tag, and an independent virtual address is written (URL format: https: / / [domain name] / tag / {unique_id}), and all URLs point to the same background program.

[0097] The unique ID (unique_id) of the tag is associated with the merchant, batch, and product type, and is stored in a distributed database when generated.

[0098] (2) User interaction and data trigger:

[0099] After the user touches the tag, it jumps to the mini-program / App, triggering an authorization request (expressly agreeing to obtain the mobile phone number, geographical location, etc.).

[0100] Unauthorized users can only access public content (such as company introductions), and personalized content (such as red envelopes, membership privileges) will be unlocked after authorization.

[0101] (3) Dynamic content management:

[0102] Merchants can modify associated content in the background according to tag IDs, batches, or groups (such as changing the content of tags with IDs 001 - 030 from "red envelopes" to "promotional videos").

[0103] Content update logic: Modify the mapping relationship between unique_id and resource files in the background database without physically rewriting the tags.

[0104] Support two modes: initial preset and feedback optimization:

[0105] Initial preset: Allocate initial content (such as red envelopes, videos) according to marketing goals;

[0106] Feedback optimization: Adjust the content of untargeted or inefficient tags based on data analysis results.

[0107] (4) Data security and privacy protection:

[0108] Encrypted transmission: The HTTPS protocol is used between the user side and the background, and sensitive data (such as mobile phone numbers) is encrypted and transmitted using AES - 256.

[0109] Data desensitization: Mobile phone numbers are stored as hash values (SHA - 256), and only the city - level accuracy of geographical locations is retained.

[0110] Permission isolation: Merchants can only view desensitized aggregated data (such as click - through rates, user age groups), and the original data is independently stored by the platform side.

[0111] (5) User profiling and closed - loop optimization:

[0112] Analyze user behavior data based on a machine - learning model to generate a population profile and a content effect evaluation report;

[0113] Merchants adjust the subsequent tag content distribution strategy according to the report, forming a closed - loop of "preset → test → analyze → optimize".

[0114] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0115] The above are only the preferred embodiments of the present invention, and do not impose any formal limitations on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art of this patent, within the scope of the technical solution of the present invention.

Claims

1. A method for dynamic marketing interaction and privacy - secure data collection, including: S1. Implant an NFC tag into an entity product, and write a unique virtual address into each tag, where the address points to a unified background program; S2. After the user reads the tag through a mobile device, jump to an online platform and authorize some personal information; S3. The background dynamically associates marketing content according to the unique identifier of the tag and records the user interaction behavior data; S4. Merchants modify the content according to the tag identifier or grouping through the management background, and can only access the anonymized aggregated data; S5. The platform encrypts the transmission and stores the desensitized user - sensitive information, and generates a population portrait based on the authorized data through a machine - learning model. S6. Adjust the subsequent tag content distribution strategy according to the data analysis results to form a closed - loop optimization process.

2. The dynamic marketing interaction and privacy - security data collection method according to claim 1, characterized in that: The virtual address is a URL containing a unique code, and the background maps the code to dynamic content resources.

3. A dynamic marketing interaction and privacy security data collection method according to claim 1, characterized in that: Data desensitization includes: converting the mobile phone number into an irreversible hash value and performing precision fuzzing on the geographical location.

4. A dynamic marketing interaction and privacy - secure data collection method as claimed in claim 1, characterized in that: The machine - learning model includes at least one of clustering algorithms, decision trees, or neural networks. The closed - loop optimization process includes: Initial preset marketing content; Collect user interaction data and analyze the content effect; Dynamically adjust the content of un - reached or inefficient tags according to the analysis results.

5. A dynamic marketing interaction and privacy security data collection system, a dynamic marketing interaction and privacy security data collection method as described in any one of claims 1 to 4, characterized in that: The system includes: An NFC tag management module for generating unique identifiers and virtual addresses; A dynamic content distribution module for returning corresponding updatable marketing content according to the tag identifier; A data security module, including an encryption transmission unit, a data desensitization unit, and a permission control unit; A portrait analysis module for generating user classification tags based on a machine - learning model.

6. A method and system for dynamic marketing interaction and privacy - secure data collection as claimed in claim 5, characterized in that: The permission control unit restricts merchants to only operate their own tag groups and view anonymized statistical data.

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