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BLOCKCHAIN-INTEGRATED SOCIAL MEDIA MARKETING PLATFORM FOR TRANSPARENT INFLUENCER ANALYTICS
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 18 November 2024
Abstract
The present invention relates to a blockchain-integrated social media marketing platform designed for transparent and verifiable influencer analytics. This platform leverages blockchain technology to ensure the integrity and authenticity of influencer performance data, including metrics such as audience engagement, follower demographics, and content reach. By utilizing smart contracts, the platform enables advertisers, brands, and influencers to establish trust-based collaborations with predefined compensation terms and performance criteria that are automatically enforced. The system also provides real-time insights into campaign performance, offering advanced analytics tools powered by artificial intelligence (AI) for deeper understanding of influencer effectiveness. This innovation ensures full transparency, prevents data manipulation, and fosters an efficient, secure ecosystem for social media marketing, thereby enhancing accountability and improving ROI for stakeholders.
Patent Information
Application ID | 202441089150 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 18/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Sriprasadh K | Assistant Professor, Computer Science and Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Vadapalani, Chennai, Tamilnadu, India. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Sriprasadh K | Assistant Professor, Computer Science and Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Vadapalani, Chennai, Tamilnadu, India. | India | India |
Specification
Description:The embodiments of the present invention generally relates to the field of social media marketing, particularly to platforms integrating blockchain technology and artificial intelligence for transparent and verifiable analytics of influencer performance. The invention addresses issues related to trust, data manipulation, and inefficiencies in influencer marketing by leveraging immutable blockchain records, smart contracts, and advanced analytics tools.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.
In recent years, influencer marketing has become one of the most prominent strategies for digital advertising. Social media influencers possess significant sway over their audiences, making them valuable partners for brands aiming to increase visibility and engagement. Despite its growth, the sector faces persistent challenges, including fraudulent engagement metrics, lack of transparency in reporting, and unverified claims about audience demographics and content reach.
Advertisers and brands rely heavily on influencer-provided metrics to make informed decisions about campaign investments. However, many influencers and agencies manipulate data to appear more effective than they are, leading to substantial financial losses for advertisers. This lack of verifiable analytics undermines trust in influencer marketing.
Conventional solutions for addressing these issues often depend on centralized platforms that collect and report data. While these platforms provide basic insights, they are not immune to manipulation, data breaches, or biases. Furthermore, centralized systems do not offer transparency to all stakeholders, creating additional trust gaps.
Blockchain technology has the potential to address these limitations by providing an immutable, decentralized ledger for recording influencer metrics. Coupled with artificial intelligence for real-time analysis, a blockchain-based system can ensure transparency, detect anomalies, and optimize campaign performance, creating a robust ecosystem for social media marketing.
OBJECTIVE OF THE INVENTION
Some of the objects of the present disclosure, which at least one embodiment herein satisfies are listed herein below.
An objective of the present invention is to provide a platform that ensures transparency and trust in influencer marketing by integrating blockchain technology to record performance metrics in an immutable and tamper-proof manner.
Another objective of the present invention is to enable advertisers, brands, and influencers to establish secure and trust-based collaborations by utilizing smart contracts that automatically enforce predefined compensation terms and performance criteria.
Another objective of the present invention is to combat fraudulent practices, such as inflated engagement statistics and fake followers, by offering verifiable analytics backed by blockchain records.
Another objective of the present invention is to provide real-time, AI-driven insights into key metrics such as audience engagement, content reach, and demographic analysis.
Another objective of the present invention is to streamline the process of influencer marketing by automating tasks such as agreement enforcement, performance monitoring, and fraud detection, thereby reducing manual effort and operational costs.
Another objective of the present invention is to make advanced analytics and transparent reporting accessible to all stakeholders, regardless of their technical expertise.
Another objective of the present invention is to create a secure, efficient, and transparent ecosystem that improves return on investment (ROI) for advertisers while fostering accountability and fair compensation for influencers.
SUMMARY OF THE INVENTION
This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
In an aspect, the invention provides a blockchain-integrated social media marketing platform designed to ensure transparent and verifiable influencer analytics. By leveraging blockchain technology, the platform records and secures performance metrics, including audience engagement, follower demographics, and content reach. These metrics are stored in an immutable, decentralized ledger, offering stakeholders reliable and tamper-proof data.
The platform incorporates artificial intelligence to deliver real-time insights and advanced analytics, enabling advertisers to optimize their campaigns. Smart contracts further enhance the platform by automating agreements between advertisers and influencers, ensuring that predefined performance criteria and compensation terms are automatically enforced. Together, these features create a transparent, efficient, and secure ecosystem for social media marketing, addressing existing challenges while enhancing accountability and ROI.
BRIEF DESCRIPTION OF DRAWINGS
The accompanying drawings, which are incorporated herein, and constitute a part of this invention, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present invention. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that invention of such drawings includes the invention of electrical components, electronic components or circuitry commonly used to implement such components.
FIG. 1 illustrates an exemplary method for ensuring transparency in influencer analytics, in accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION OF THE INVENTION
In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.
The ensuing description provides exemplary embodiments only and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.
Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail to avoid obscuring the embodiments.
Also, it is noted that individual embodiments may be described as a process that is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.
The word "exemplary" and/or "demonstrative" is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as "exemplary" and/or "demonstrative" is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms "includes," "has," "contains," and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term "comprising" as an open transition word without precluding any additional or other elements.
Reference throughout this specification to "one embodiment" or "an embodiment" or "an instance" or "one instance" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The present invention provides a blockchain-integrated social media marketing platform designed to address the challenges of transparency, data manipulation, and inefficiencies in influencer analytics. The platform combines blockchain technology, smart contracts, and artificial intelligence (AI) to offer verifiable, real-time analytics of influencer campaigns. This system ensures that all stakeholders, including advertisers, brands, and influencers, can access secure, immutable, and actionable data, fostering trust and improving the return on investment (ROI) in influencer marketing campaigns.
The platform integrates three core components that collaboratively ensure transparency, security, and automation in influencer marketing. Each component plays a crucial role in eliminating inefficiencies and enhancing trust among advertisers, influencers, and brands.
The blockchain layer is fundamental to the platform's operation, providing a decentralized ledger for storing influencer performance data. This data includes key metrics such as audience engagement, follower demographics, content reach, and other campaign-related analytics. The blockchain's immutable nature ensures that once the data is recorded, it cannot be altered or deleted, guaranteeing the authenticity and integrity of the metrics. This decentralized approach fosters transparency, as all stakeholders-advertisers, brands, and influencers-can independently verify the recorded data. Additionally, the blockchain provides a tamper-proof environment that reduces the risk of fraudulent activities like inflated engagement or fake followers, making the platform more reliable for all participants.
The smart contract module automates and enforces the agreements between advertisers and influencers, ensuring that predefined performance criteria and compensation terms are adhered to without the need for manual verification. These contracts are digitally encoded with conditions such as target audience engagement, reach goals, and compensation milestones. Once these criteria are met, the smart contract automatically triggers the release of payment or other agreed-upon actions. This eliminates the potential for human error, disputes, and delays, as all terms are predefined and executed automatically. The transparency provided by the smart contract ensures that both parties have full visibility into the conditions and progress of the collaboration, increasing trust and accountability.
The AI analytics engine is designed to offer deep, real-time insights into campaign performance by leveraging advanced machine learning models. It processes the data recorded on the blockchain to provide analysis on key factors such as engagement predictions, audience sentiment, and content effectiveness. The AI engine uses historical data, patterns, and trends to generate actionable insights, helping brands optimize their campaigns and influencers enhance their content strategies. Moreover, the engine can detect anomalies, such as sudden spikes in engagement from bot accounts, thereby providing an additional layer of fraud detection. This intelligence allows stakeholders to adjust their strategies dynamically, improving campaign outcomes and maximizing ROI.
In the first embodiment, the invention ensures data integrity through blockchain technology. Influencer performance metrics are collected via APIs integrated with social media platforms. These metrics include audience engagement rates, content impressions, and demographic breakdowns. The data is then encrypted and recorded on the blockchain.
Once recorded, the data becomes immutable, preventing any unauthorized alterations or deletions. This feature is critical for combating fraud, as advertisers can verify the authenticity of metrics at any point. Furthermore, the decentralized nature of the blockchain ensures that no single party has control over the data, enhancing transparency across all stakeholders.
For example, a fashion brand collaborating with an influencer can access verifiable engagement data stored on the blockchain, ensuring accurate compensation based on real performance rather than inflated metrics.
The second embodiment focuses on the automation of agreements between advertisers and influencers using smart contracts. Advertisers can define campaign objectives, performance benchmarks, and compensation terms within a smart contract. Once the influencer meets the predefined criteria (e.g., achieving a target number of views or likes), the smart contract automatically releases the agreed-upon payment.
This approach eliminates the need for intermediaries or manual validation processes, reducing administrative overhead and ensuring timely and accurate compensation. Additionally, smart contracts provide transparency in negotiations, as both parties can independently verify the terms and their execution.
For instance, a technology company running a campaign with multiple influencers can use smart contracts to manage each collaboration efficiently. The contracts can include milestones for audience engagement and payment schedules, all of which are executed automatically.
The third embodiment leverages artificial intelligence to analyze influencer performance and provide actionable insights. The AI analytics engine processes data stored on the blockchain to identify trends, predict engagement levels, and detect anomalies such as fake followers or bot-generated interactions.
For example, the engine can analyze audience sentiment from comments and interactions, providing brands with a deeper understanding of how their campaigns resonate with target audiences. Furthermore, the system can recommend optimal posting times, content strategies, and influencer selections based on historical data and machine learning models.
A use case for this embodiment is a food brand analyzing the performance of an influencer campaign to determine the most effective content type-whether it is recipe videos or promotional posts. The AI engine provides recommendations for future campaigns, maximizing engagement and ROI.
The described embodiments work in unison to create a comprehensive ecosystem for influencer marketing. The blockchain layer ensures data integrity, the smart contracts automate collaboration and payment, and the AI analytics engine provides stakeholders with actionable insights. Together, these components address the challenges of traditional influencer marketing, such as data fraud, inefficiencies, and lack of trust.
The platform's user interface ties all these elements together, offering a dashboard where stakeholders can view campaign performance, access blockchain-stored data, and generate AI-driven reports. By combining these technologies, the invention ensures a secure, transparent, and efficient influencer marketing process.
While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the preferred embodiments of the invention will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the invention and not as limitation.
, Claims:1. A blockchain-integrated social media marketing platform comprising:
a blockchain layer configured to store and manage influencer performance data including audience engagement, follower demographics, and content reach;
a smart contract module for defining and enforcing agreements between advertisers and influencers, wherein compensation terms and performance criteria are predefined and automatically enforced;
an artificial intelligence analytics engine configured to provide real-time insights into influencer campaign performance, including advanced metrics such as engagement prediction and sentiment analysis;
a user interface for stakeholders to access verifiable analytics and campaign data.
2. A method for ensuring transparency in influencer analytics comprising the steps of:
collecting influencer performance data from social media platforms;
recording the collected data on a blockchain ledger to ensure immutability and authenticity;
utilizing smart contracts to automate agreements and enforce predefined compensation terms based on performance criteria;
generating real-time analytics using an AI engine for campaign optimization and reporting.
3. The platform of claim 1, wherein the blockchain layer supports multi-signature authentication to enhance data security and access control.
4. The platform of claim 1, wherein the AI analytics engine includes a machine learning model trained on historical influencer data to predict future engagement metrics.
5. The method of claim 2, further comprising the step of providing advertisers with a fraud detection mechanism to identify suspicious engagement patterns.
6. The platform of claim 1, wherein the user interface includes a visualization module for displaying metrics such as campaign reach, ROI, and influencer ranking.
7. The method of claim 2, further comprising integrating an alert mechanism to notify stakeholders of significant deviations in campaign performance.
Documents
Name | Date |
---|---|
202441089150-COMPLETE SPECIFICATION [18-11-2024(online)].pdf | 18/11/2024 |
202441089150-DECLARATION OF INVENTORSHIP (FORM 5) [18-11-2024(online)].pdf | 18/11/2024 |
202441089150-DRAWINGS [18-11-2024(online)].pdf | 18/11/2024 |
202441089150-FORM-9 [18-11-2024(online)].pdf | 18/11/2024 |
202441089150-REQUEST FOR EARLY PUBLICATION(FORM-9) [18-11-2024(online)].pdf | 18/11/2024 |
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