Abstract: Artificial intelligence-based technique to monitor the digital marketing graphs and techniques through big data analytics is the proposed invention. The invention focuses on implementing technique of artificial intelligence to continuously monitor the digital marketing of various products of e-commerce site. The graphs are plotted based on aspects of big data analytics to give better insights into it.
The present invention relates to the field of designing and implementing a framework
of Artificial Intelligence based technique to monitor the digital marketing graphs. The
big data analytics is used to analyse the data relates to digital marketing aspects.
BACKGROUND OF INVENTION
[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Digital marketing analytics are the translation of customer behaviour into actionable business data. Digital analytics tools can help companies understand what customers are doing online, how the products will have reached them, what are the consumers actually looking for etc., data analytics is the ability to spot patterns
[0003] A number of different types of digital marketing analysis systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as electronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively unorganized have been used in the modern medical research. This is an important reason for the cause of various unorganized and unstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms and frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This paper explores the applications of AI and big data analytics for providing insights to the users and enabling them to plan, using the resources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for m-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m-health data more effectively.
[0005] Data analytics processes the big data to provide a company with actionable insights. Current methods of digital marketing utilize massive collections of information from multiple sources. The proposed invention focuses on collecting the data from all possible sources of digital marketing platforms and analyzing them through artificial intelligence.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of digital marketing analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved digital marketing analysis system using artificial intelligence-based techniques and plotting a graph using big data analytics that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of digital marketing analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved digital marketing analysis system to plot graphs using big data analytics which has all the advantages of the prior art and none of the disadvantages.
[0009] The main objective of the proposed invention is to design and implement a framework of artificial intelligence for analyzing the digital marketing data. The predictive results are depicted as graphs for easier analysis and understanding.
[0010] Yet another important aspect of the proposed invention is to design and implement a technique where data related to various digital marketing platforms. These data are analyzed using big data analytics technique. These analyzed data are fed to artificial intelligence unit and predictive results are plotted as graphs.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BREIF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the block diagram of an artificial intelligence-based technique to monitor the digital marketing graphs and techniques through big data analytics, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0001] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0002] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one” and the word “plurality” means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0003] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of”, "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0004] Digital marketing analytics are responsible for analyzing statistics and looking for ways that the company can impress its online marketing efforts. These efforts include things like email marketing, social media campaigns, PPC campaigns and online branding efforts. Digital marketing strategy involves an assessment of specific goals that are achievable through online channels.
[0005] Analytics gives you access to truckloads of data about the customers and the brand’s online presence. The utilization of this data will lead to more informed decisions and improve the marketing efforts. Better leads generate more sales and improved return on investment. The proposed invention focuses on analyzing the impact of digital marketing using AI aspects and plots the graph for easier understanding.
[0006] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0007] Figure 1 illustrates the block diagram of an artificial intelligence-based technique to monitor the digital marketing graphs and techniques through big data analytics 100. The proposed system 100 includes a marketing analytics unit 101 which monitors and analysis the various digital marketing aspects of a particular e-commerce site. The marketing analytics includes analysing TV ads 102, email campaign 103, SMS campaign 104, customer feedback 105, customer feedback 105, customer search history 106 and finally product reviews 107. These data are analysed by big data analytics technique 108 and then by artificial intelligence unit 109.
[0008] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
WE CLAIM
1. Artificial intelligence-based technique to monitor the digital marketing graphs and
techniques through big data analytics comprises of
artificial intelligence unit and
Big data analytics techniques.
2. Artificial intelligence-based technique to monitor the digital marketing graphs and
techniques through big data analytics, according to claim 1, includes an artificial
intelligence unit, wherein the artificial intelligence unit will monitor all the digital
marketing platform to predict its impact on ecommerce site or organizational
growth.
3. Artificial intelligence-based technique to monitor the digital marketing graphs and
techniques through big data analytics, according to claim 1, includes the big data
analytics techniques, wherein the big data analytics techniques will plot graphs to
support the results of artificial intelligence unit
| # | Name | Date |
|---|---|---|
| 1 | 202211022601-FORM 1 [17-04-2022(online)].pdf | 2022-04-17 |
| 1 | 202211022601-FORM-9 [19-04-2022(online)].pdf | 2022-04-19 |
| 2 | 202211022601-COMPLETE SPECIFICATION [17-04-2022(online)].pdf | 2022-04-17 |
| 2 | 202211022601-DRAWINGS [17-04-2022(online)].pdf | 2022-04-17 |
| 3 | 202211022601-COMPLETE SPECIFICATION [17-04-2022(online)].pdf | 2022-04-17 |
| 3 | 202211022601-DRAWINGS [17-04-2022(online)].pdf | 2022-04-17 |
| 4 | 202211022601-FORM 1 [17-04-2022(online)].pdf | 2022-04-17 |
| 4 | 202211022601-FORM-9 [19-04-2022(online)].pdf | 2022-04-19 |