Advertisement putting management system based on big data

Abstract

The invention discloses an advertisement putting management system based on big data, and the system comprises a position information collection module, a human traffic collection module, an advertisement space collection module, a conversion collection module, a data processing module, and an information sending module. The people flow acquisition module is used for acquiring people flow information of an advertisement putting position, the advertisement position acquisition module is used for acquiring equipment information of advertisement display equipment, and the data processing module is used for processing the advertisement putting position information, the people flow information of the advertisement putting position and the equipment information of the advertisement display equipment. Preliminary delivery selection information is generated, and after the preliminary delivery selection information is generated for a preset time length, a conversion acquisition module acquires delivery conversion information; according to the invention, the advertisement putting position can be managed more comprehensively, and the advertisement putting conversion rate is improved.

Description

Technical Field

[0001] The present invention relates to the field of advertising management, and in particular to an advertising delivery management system based on big data. Background Art

[0002] Advertising is a marketing activity, commonly seen on television, radio, the Internet, outdoor media and other media. It refers to the company's advertising information to the target group to increase brand exposure, increase sales, expand market share and other purposes. The quality of advertising will directly affect the company's market success. When advertisements need to be placed on outdoor physical media, it is necessary to fully analyze the placement location. Analyzing the placement location through an advertisement placement management system can improve the advertisement placement conversion rate. However, the advertisement placement management system in the prior art has a single type of placement location data analysis, which will lead to blind placement and low placement conversion rate, which has a certain impact on the use of the advertisement placement management system. Therefore, an advertising delivery management system based on big data is proposed. Summary of the invention

[0003] The technical problem to be solved by the present invention is: how to solve the problem that the advertising delivery management system in the prior art has a single type of data analysis for delivery, which leads to blind delivery and low delivery conversion rate, thus bringing certain impacts on the use of the advertising delivery management system.

[0004] The present invention solves the above technical problems through the following technical solutions: The present invention includes a location information collection module, a human flow collection module, an advertising space collection module, a conversion collection module, a data processing module and an information sending module; The location information collection module is used to collect information about the location of advertisement placement, the traffic flow collection module is used to collect information about the traffic flow of advertisement placement, and the advertisement position collection module is used to collect information about the device of the advertisement display device; The data processing module is used to process the advertisement placement location information, the flow of people at the advertisement placement location, and the device information of the advertisement display device to generate preliminary placement selection information; After the initial delivery selection information is generated for a preset period of time, the conversion collection module collects delivery conversion information, and the data processing module processes the delivery conversion information to obtain the final delivery selection information; The information sending module is used to send the preliminary delivery selection information and the final delivery selection information to a preset receiving terminal after the above information is generated.

[0005] Furthermore, the specific processing process of the preliminary placement selection information is as follows: extracting the collected advertisement placement position information, processing the advertisement placement position information, and obtaining a first selection score; Extracting the traffic information of the advertisement placement location, and processing the traffic information of the advertisement placement location to obtain a second selected score; Then, the device information of the advertisement display device is extracted, and the device information of the advertisement display device is processed to obtain a third selected score; Then, the sum of the first selected score, the second selected score and the third selected score is calculated to obtain the comprehensive evaluation score of the single advertisement placement position; Afterwards, the comprehensive evaluation scores of all advertisement placement positions are extracted, sorted in descending order, and the positions corresponding to the three comprehensive evaluation scores with the highest comprehensive evaluation scores are extracted as preliminary placement selection information.

[0006] Furthermore, the specific processing process of the first selected score is as follows: extract the collected advertising location information, import the advertising location information into a preset database, retrieve the number of residential buildings within a preset range of the advertising location information from the preset database, and the size of the number of residential buildings within the preset range is the size of the first selected score.

[0007] Furthermore, the specific acquisition process of the second selected score is as follows: the collected traffic information of the advertising placement location is extracted, and the acquisition process of the traffic information of the advertising placement location is as follows: the real-time traffic information of the advertising placement location is collected within the time period of each day within x days, and x real-time traffic information is obtained, and then the average of the x real-time traffic information is calculated, that is, the traffic information of the advertising placement location is obtained, when the traffic information of the advertising placement location is greater than a preset value, the size of the second selected score is the preset value a1, when the traffic information of the advertising placement location is within a preset range, the size of the second selected score is the preset value a2, and when the traffic information of the advertising placement location is less than the preset value, the size of the second selected score is the preset value a3, a1>a2>a3.

[0008] Furthermore, the specific processing process of the third selected score is as follows: extracting the collected device information of the advertising display device, the device information of the advertising display device is the height of the advertising display device and the area of ​​the advertising display device, marking the height of the advertising display device as K1, and marking the area of ​​the advertising display device as K2; When the height K1 of the advertising display device is within the preset range and the area K2 of the advertising display device is greater than the preset value, the size of the third selected score is the preset value b1; when the height K1 of the advertising display device exceeds the preset range or the area K2 of the advertising display device is less than the preset value, the size of the third selected score is the preset value b2; when the height K1 of the advertising display device exceeds the preset range and the area K2 of the advertising display device is less than the preset value, the size of the third selected score is the preset value b3, b1>b2>b3.

[0009] Furthermore, the specific process of processing the delivery conversion information to obtain the final delivery selection information is as follows: after the initial delivery selection information is generated, the advertising content with the preset QR code is delivered at the selected initial delivery location, and then the number of times the preset QR code is scanned and confirmed is collected once a day, and the collection is continued for m days to obtain the number of times m preset QR codes are scanned and confirmed at a single delivery location, and then the number of times the m preset QR codes are scanned and confirmed is calculated and processed to obtain the scanning evaluation parameter; The scanning evaluation parameters of all preliminary placement positions are extracted, and the two corresponding positions with the largest scanning evaluation parameters are selected as the final placement selection information.

[0010] Furthermore, the specific processing process of the scanning evaluation parameters is as follows: extract the number of times m preset QR codes are scanned and confirmed, remove the maximum and minimum values ​​of the number of times the m preset QR codes are scanned and confirmed, and then calculate the average of the remaining number of times the preset QR codes are scanned and confirmed, so as to obtain the scanning evaluation parameters.

[0011] Compared with the prior art, the present invention has the following advantages: the advertising delivery management system based on big data comprehensively analyzes the overall conditions of the advertising delivery positions, selects preliminary delivery positions, conducts trial delivery, and after the trial delivery is completed, selects the final advertising delivery location based on the actual conversion conditions, thereby reducing the problem of poor advertising delivery revenue returns when direct large-scale delivery is performed, and when making the preliminary selection of the delivery location, detailed analysis and processing of the delivery location-related data is performed, avoiding the situation in which the subsequent final delivery location selection deviation is too large due to poor initial delivery location selection, thereby achieving more comprehensive advertising delivery management and improving the user advertising delivery conversion rate, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0013] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0014] like Figure 1 As shown, this embodiment provides a technical solution: an advertising delivery management system based on big data, including a location information collection module for collecting advertising delivery location information, a traffic flow collection module for collecting traffic flow information of advertising delivery locations, and an advertising position collection module for collecting device information of advertising display devices; The data processing module is used to process the advertisement placement location information, the flow of people at the advertisement placement location, and the device information of the advertisement display device to generate preliminary placement selection information; After the initial delivery selection information is generated for a preset period of time, the conversion collection module collects delivery conversion information, and the data processing module processes the delivery conversion information to obtain the final delivery selection information; The information sending module is used to send the preliminary delivery selection information and the final delivery selection information to a preset receiving terminal after the information is generated; The present invention conducts a comprehensive analysis of the overall conditions of the advertising placement positions, selects preliminary placement positions, conducts trial placement, and after the trial placement is completed, selects the final advertising placement location based on the actual conversion conditions, thereby reducing the problem of poor advertising return when direct large-scale placement is performed. In addition, when conducting the preliminary selection of the placement location, detailed analysis and processing of the placement location-related data is performed, thereby avoiding the situation in which the subsequent final placement location selection deviation is too large due to poor initial placement location selection, thereby achieving more comprehensive advertising placement management and improving the user advertising placement conversion rate.

[0015] The specific processing process of the preliminary placement selection information is as follows: extracting the collected advertisement placement position information, processing the advertisement placement position information, and obtaining a first selection score; Extracting the traffic information of the advertisement placement location, and processing the traffic information of the advertisement placement location to obtain a second selected score; Then, the device information of the advertisement display device is extracted, and the device information of the advertisement display device is processed to obtain a third selected score; Then, the sum of the first selected score, the second selected score and the third selected score is calculated to obtain the comprehensive evaluation score of the single advertisement placement position; Then, the comprehensive evaluation scores of all the advertising placement positions are extracted, sorted in descending order, and the positions corresponding to the three comprehensive evaluation scores with the highest comprehensive evaluation scores are extracted as preliminary placement selection information; Through the above process, by conducting a comprehensive information analysis of the delivery location, a better initial delivery location is selected, avoiding the problem of low subsequent delivery conversion rate caused by errors in the initial delivery location, that is, errors in the selected information.

[0016] The specific processing process of the first selected score is as follows: extracting the collected advertisement placement location information, importing the advertisement placement location information into a preset database, retrieving the number of residential buildings within a preset range of the advertisement placement location information from the preset database, and the size of the number of residential buildings within the preset range is the size of the first selected score; A large number of residential buildings at the placement location means that there are many potential consumers in the area. By analyzing the information on the number of residential buildings within the preset range of the advertisement placement location information, the first selected score can be obtained with higher reference value.

[0017] The specific acquisition process of the second selected score is as follows: extract the collected traffic information of the advertising placement location, and the acquisition process of the traffic information of the advertising placement location is as follows: collect the real-time traffic information of the advertising placement location in the time period of each day within x days, obtain x real-time traffic information, and then calculate the average of the x real-time traffic information, that is, obtain the traffic information of the advertising placement location. When the traffic information of the advertising placement location is greater than the preset value, the size of the second selected score is the preset value a1, when the traffic information of the advertising placement location is within the preset range, the size of the second selected score is the preset value a2, when the traffic information of the advertising placement location is less than the preset value, the size of the second selected score is the preset value a3, a1>a2>a3; The large amount of traffic at the advertising location is also one of the important reasons for the high conversion rate of advertising. Therefore, a detailed analysis of the traffic at the advertising location is conducted to obtain the second selected score.

[0018] The specific processing process of the third selected scoring is as follows: extracting the collected device information of the advertising display device, the device information of the advertising display device is the height of the advertising display device and the area of ​​the advertising display device, marking the height of the advertising display device as K1, and marking the area of ​​the advertising display device as K2; When the height K1 of the advertising display device is within the preset range and the area K2 of the advertising display device is greater than the preset value, the third selected score is the preset value b1; when the height K1 of the advertising display device exceeds the preset range or the area K2 of the advertising display device is less than the preset value, the third selected score is the preset value b2; when the height K1 of the advertising display device exceeds the preset range and the area K2 of the advertising display device is less than the preset value, the third selected score is the preset value b3, b1>b2>b3; The height of the advertising device and the area of ​​the advertising device are also important points for the advertising conversion rate. The third selected score can be obtained by analyzing the height of the advertising display device and the area of ​​the advertising display device.

[0019] The specific process of processing the delivery conversion information to obtain the final delivery selection information is as follows: after the initial delivery selection information is generated, the advertising content with the preset QR code is delivered at the selected initial delivery location, and then the number of times the preset QR code is scanned and confirmed is collected once a day, and the number of times the preset QR code is scanned and confirmed is collected for m consecutive days to obtain the number of times the m preset QR codes are scanned and confirmed at a single delivery location, and then the number of times the m preset QR codes are scanned and confirmed is calculated and processed to obtain the scanning evaluation parameters; The scanning evaluation parameters of all preliminary placement positions are extracted, and the two corresponding positions with the largest scanning evaluation parameters are selected as the final placement selection information.

[0020] The specific processing process of the scanning evaluation parameters is as follows: extract the number of times m preset QR codes are scanned and confirmed, remove the maximum and minimum values ​​of the number of times m preset QR codes are scanned and confirmed, and then calculate the average of the remaining number of times the preset QR codes are scanned and confirmed, so as to obtain the scanning evaluation parameters.

[0021] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0022] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0023] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An advertising delivery management system based on big data, characterized in that: include: A location information collection module, wherein the location information collection module is used to collect advertisement placement location information; A human traffic collection module, which is used to collect human traffic information at the advertisement placement location; An advertisement position acquisition module, the advertisement position acquisition module is used to acquire device information of an advertisement display device; A data processing module, the data processing module is used to process the advertisement placement location information, the flow of people at the advertisement placement location and the device information of the advertisement display device to generate preliminary placement selection information; After the initial delivery selection information is generated for a preset period of time, the conversion collection module collects delivery conversion information, and the data processing module processes the delivery conversion information to obtain the final delivery selection information; The information sending module is used to send the preliminary delivery selected information and the final delivery selected information to a preset receiving terminal after the above information is generated.

2. The advertising delivery management system based on big data according to claim 1, characterized in that: The specific processing process of the preliminary placement selection information is as follows: extracting the collected advertisement placement position information, processing the advertisement placement position information, and obtaining a first selection score; Extracting the traffic information of the advertisement placement location, and processing the traffic information of the advertisement placement location to obtain a second selected score; Then, the device information of the advertisement display device is extracted, and the device information of the advertisement display device is processed to obtain a third selected score; Then, the sum of the first selected score, the second selected score and the third selected score is calculated to obtain the comprehensive evaluation score of the single advertisement placement position; Afterwards, the comprehensive evaluation scores of all advertisement placement positions are extracted, sorted in descending order, and the positions corresponding to the three positions with the highest comprehensive evaluation scores are extracted as preliminary placement selection information.

3. The big data-based advertising delivery management system according to claim 2, characterized in that: The specific processing process of the first selected score is as follows: extract the collected advertising location information, import the advertising location information into a preset database, retrieve the number of residential buildings within a preset range of the advertising location information from the preset database, and the size of the number of residential buildings within the preset range is the size of the first selected score.

4. The big data-based advertising delivery management system according to claim 2, characterized in that: The specific acquisition process of the second selected score is as follows: extract the collected traffic information of the advertising placement location, and the acquisition process of the traffic information of the advertising placement location is as follows: collect the real-time traffic information of the advertising placement location within the time period of each day within x days, obtain x real-time traffic information, and then calculate the average of the x real-time traffic information, that is, obtain the traffic information of the advertising placement location. When the traffic information of the advertising placement location is greater than the preset value, the size of the second selected score is the preset value a1, when the traffic information of the advertising placement location is within the preset range, the size of the second selected score is the preset value a2, when the traffic information of the advertising placement location is less than the preset value, the size of the second selected score is the preset value a3; and a1>a2>a3.

5. The big data-based advertising delivery management system according to claim 2, characterized in that: The specific processing process of the third selected score is as follows: extracting the collected device information of the advertising display device, the device information of the advertising display device is the height of the advertising display device and the area of ​​the advertising display device, marking the height of the advertising display device as K1, and marking the area of ​​the advertising display device as K2; When the height K1 of the advertising display device is within the preset range and the area K2 of the advertising display device is greater than the preset value, the size of the third selected score is the preset value b1; when the height K1 of the advertising display device exceeds the preset range or the area K2 of the advertising display device is less than the preset value, the size of the third selected score is the preset value b2; when the height K1 of the advertising display device exceeds the preset range and the area K2 of the advertising display device is less than the preset value, the size of the third selected score is the preset value b3; and b1>b2>b3.

6. The big data-based advertising delivery management system according to claim 1, characterized in that: The specific process of processing the delivery conversion information to obtain the final delivery selection information is as follows: after the initial delivery selection information is generated, the advertising content with the preset QR code is delivered at the selected initial delivery location, and then the number of times the preset QR code is scanned and confirmed is collected once a day, and the collection is continued for m days to obtain the number of times m preset QR codes are scanned and confirmed at a single delivery location, and then the number of times the m preset QR codes are scanned and confirmed is calculated and processed to obtain the scanning evaluation parameter; The scanning evaluation parameters of all preliminary placement positions are extracted, and the two corresponding positions with the largest scanning evaluation parameters are selected as the final placement selection information.

7. The big data-based advertising delivery management system according to claim 6, characterized in that: The specific processing process of the scanning evaluation parameters is as follows: extract the number of times m preset QR codes are scanned and confirmed, remove the maximum and minimum values ​​of the number of times m preset QR codes are scanned and confirmed, and then calculate the average of the remaining number of times the preset QR codes are scanned and confirmed, so as to obtain the scanning evaluation parameters.

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