A SYSTEM THAT PREDICTS THE VISIBILITY AND CLICK-IN RATES OF DIGITAL ADVERTISEMENTS.

Abstract

This invention relates to a system (1) that enables advertisers to enter their target visibility and click-through rates more accurately by suggesting the estimated visibility and click-through rates that can be obtained from an advertising campaign.

Description

1 TARIFF DIGITAL ADVERTISING VISIBILITY AND CLICK-INS A SYSTEM THAT PREDICTS THE RATIOS Technical Area This invention can increase the estimated visibility rate that can be obtained from an advertising campaign, and click-through rates are suggested to advertisers, thereby enabling those advertisers to... enabling companies to enter their targeted visibility and click-through rates more accurately. It is related to a system that provides. Previous Technique Today, in digital advertising, advertisers and advertising inventory providers... Matching processes that take place between demand-side platforms (DSP) and supply These matching processes take place between two-way platforms (SSPs) and are 15 These auctions last for milliseconds. In the auction in question, the most DSP, which submitted the highest bid, will display the advertisements for the aforementioned advertising inventory. He / She obtains the right. Auction systems in the known state of the art charge a fee. It is based on, and does not focus on, the visibility rate of the advertisement. Furthermore, the technique... In the known case, ad impressions are actually perceived by the user as 20 visibility before the offer, which allows focus to be placed on whether it has been seen or not. real-time By combining visibility predictions and historical performance data, the advertising space... various Solutions have been found. 25 However, with the current technology, the information input into the DSP application is used for machine learning. estimated outcomes from the relevant campaign can be obtained by analyzing it with algorithms. 2 A recommendation is made by calculating visibility and click-through rates. the creation, past campaign data, seasonal in the proposal process fluctuations, user behavior, and inventory characteristics (advertising) (taking into account information such as the area where it is placed and the size of the advertisement) The highest probability of achieving visibility and click-through rate is 5 No solution has been found that would allow for its determination. United States Regulation US2017140437, which is included in the known state of the art. The patent document describes a system that connects numerous client devices over a network. or an invention that enables the improvement of more server-type digital data systems 10 It is explained. The improvement involves digital signals transmitted from servers to a client device. This involves automatically adding and placing additional content to the existing content. based on a conditional probability function that predicts the visibility of its content It is characterized by the automatic selection of additional content. In the invention conditional probability function of the requested content first digital data device 15 the user receives the requested content in the designated area of ​​the presentation whether it will arrive and how long it will stay there It provides. Brief Description of the Invention 20 The purpose of this invention is to perform machine learning on the information fed into the DSP application. estimated outcomes from the relevant campaign can be obtained by analyzing it with algorithms. A recommendation is made by calculating visibility and click-through rates. the creation, past campaign data, seasonal 25 in the proposal process fluctuations, user behavior, and inventory characteristics (advertising) (taking into account information such as the area where it is placed and the size of the advertisement) the highest possible visibility and click-through rate determining the visibility and click-through rates of digital advertisements. The goal is to create a predictive system. 30 3 Detailed Description of the Invention The "Visibility of Digital Advertising" project was carried out to achieve the purpose of this invention. And a system that predicts click-through rates is shown in the figure, and this figure is 5. Figure 1: Visibility and click-through rates of digital advertisements, the subject of the invention. It is a schematic view of a predictive system. The parts shown in the figure are individually numbered, and the corresponding numbers represent 10. It is given below. 1. System 2. Electronic device 3. Advertising application 15 4. Server Estimated visibility and click-through rates that can be obtained from an advertising campaign. by suggesting the rate to advertisers, those advertisers 20 The invention in question estimates the visibility and click-through rates of digital advertisements. system (1); - used by authorized users of advertising companies, on which it is located hardware allows authorized users to connect with other advertising companies. at least one electronic device configured to provide (2), 25 - authorized advertising company operating on the electronic device (2) the user's advertising budget, the start and end dates of the advertisement, and the target audience. authorized to enter visibility rate and target click-through rate users have access to at least one demand-side platform (DSP) and one supply-side platform. 4 (SSP) at least one advertisement configured to enable connection. application (3) - connected to the advertising application (3), entered on the advertising application (3) advertising budget, advertising start and end dates, target visibility rate, target with machine learning algorithms on click-through data or 5 Estimated visibility that can be obtained from the relevant campaign by analyzing it with models. to enable the calculation of the rate, each entered from the advertising application (3) inventory characteristics, type of advertising image, dimensions of the advertising image, advertiser brand, ad image, target audience, and device types by analyzing it with machine learning algorithms or models 10 calculating the estimated click-through rate that can be obtained from the relevant campaign to provide various external data on estimated ad visibility and click-through rates. past campaign information found in advertising services, seasonal fluctuations in consumer behavior and advertising inventory characteristics 15 by maximizing the likelihood of achieving the desired outcome for the company on the advertising side. Presenting visibility and click-through rate information as a suggestion is most likely the estimated visibility ratio value entered through the advertising application (2) Comparing it with the target visibility ratio value, it most likely predicts... Click-through rate value entered via advertising application (2) target click-through rate 20 comparing the ratio value, as a result of the comparison operations performed estimated visibility and click-through rate values ​​compared to targeted visibility and When it detects that it is approaching click-through rate values, it applies advertising (2) The relevant offer was accepted by the advertiser on the DSP platform. to report that it can be done, the estimated visibility in the comparison results and 25 click-through rate values ​​compared to targeted visibility and click-through rate values When it detects that you are not approaching, it automatically applies advertising (3) by canceling the display of the relevant advertisement, the campaign budget was deemed insufficient. at least one structured to report this information to the relevant authorities The server includes (4). 30 The invention concerns the electronic device (1) included in the system (2) advertising application (3) located on the demand-side platform (DSP) and the supply-side platform (SSP) used by authorized users of advertising companies Mobile phone 5 is structured to enable communication with other people and companies. It is a device in the form of a phone, tablet, computer, or laptop. The advertising application (3) included in the system (1) is an electronic device (2) run on and connected to the demand-side platform (DSP) and supply-side 10 advertising auctions to be held between platforms (SSPs) It is structured to ensure its management. The invention concerns the server (4) advertising application (3) located in the system (1) entered advertising budget, ad start and end dates, target visibility rate, XGBoost analyzes data such as target click-through rates and ad visuals, 15 Analysis using machine learning algorithms or models such as LightGBM by estimating the visibility rate that can be obtained from the relevant campaign and the estimated It is configured to enable the calculation of the click-through rate. Server (4) Estimated visibility and click-through rate data for ads, along with various external advertising options. information about past campaigns, seasonal fluctuations, and other services available on 20 consumer behavior and information about the placement of the advertisement, information about the size of the advertisement By combining the inventory features of the advertisement in this form, XGBoost and LightGBM by analyzing with machine learning algorithms or models in this way the most likely visibility that the advertiser can achieve 25 to present click-through rate and rate information as recommendations It is configured. The server (4) receives the campaign information and related campaign information. including the highest visibility rate and highest click-through rate data associated with it. Start campaign setup automatically on the advertising application (3) It is structured accordingly. 6 Industrial application of the invention In the system covered by the invention, (1) the advertisers and the advertisers are located an advertising application (3) which includes the DSP and SSP platforms they received an electronic It is run on device (2). The advertising application interface on (3) is 5 An authorized user on the advertiser's side can access the budget for the relevant advertisement, the advertisement's... It enters information such as start and end dates and target visibility rate. The advertiser's machine learning algorithms located on the server (4) budget, inventory, start and end dates, consumer behavior, etc. By analyzing the data together, we can determine the optimum visibility rate for the relevant advertisement. and provides advertisers with information on the optimal click-through rate in the form of recommendations. Server (4) displays the calculated visibility and click-through rates to the advertiser. It compares the ratios with the target it has set. Estimated ratio, target ratio If it reaches that value, the advertiser may accept the relevant offer. It is reported. 15 Machine learning of the information entered into the DSP application with the system (1) that is the subject of the invention estimated outcomes from the relevant campaign can be obtained by analyzing it with algorithms. A recommendation is made by calculating visibility and click-through rates. creation, past campaign data in the proposal process, seasonal 20 fluctuations, user behavior, and inventory characteristics (advertising) (taking into account information such as the area where it is placed and the size of the advertisement) Determining the highest probability of achieving visibility and click-through rates. is provided. The system in question (1) is within the scope of the Personal Data Protection Law (KVKK). It operates. 7 The invention is a device that estimates the visibility and click-through rates of digital advertisements. It is possible to develop a wide variety of applications of the system (1), and the invention is here It cannot be limited to the examples given; it is essentially as stated in the claims.

Claims

8 REQUESTS 1. Estimated visibility and click-through rates that can be obtained from an advertising campaign. by suggesting the rate to advertisers, those advertisers 5. This allows them to enter their targeted visibility and click-through rates more accurately. - used by authorized users of advertising companies, on which it is located hardware allows authorized users to connect with other advertising companies. containing at least one electronic device (2) configured to provide - authorized advertising company operating on the electronic device (2) the user's advertising budget, the start and end dates of the advertisement, target 10 authorized to enter visibility rate and target click-through rate users have access to at least one demand-side platform (DSP) and one supply-side platform. (SSP) at least one advertisement configured to enable connection. application (3) and - 15 entered on the advertising application (3) that connects with the advertising application (3) advertising budget, advertising start and end dates, target visibility rate, target with machine learning algorithms on click-through data or Estimated visibility that can be obtained from the relevant campaign by analyzing it with models. to enable the calculation of the rate, each entered from the advertising application (3) inventory specifications, type of advertising image, dimensions of advertising image, 20 advertiser brand, ad image, target audience, and device types by analyzing it with machine learning algorithms or models calculating the estimated click-through rate that can be obtained from the relevant campaign to provide various external data on estimated ad visibility and click-through rates. past campaign information found in advertising services, seasonal 25 fluctuations in consumer behavior and advertising inventory characteristics by gathering information and analyzing it with machine learning algorithms. by maximizing the likelihood of achieving the desired outcome for the company on the advertising side. Presenting visibility and click-through rate information as a suggestion is most likely The estimated visibility ratio value entered via the advertising application (2) is 30 9 Comparing it with the target visibility ratio value, it most likely predicts... Click-through rate value entered via advertising application (2) target click-through rate comparing the ratio value, as a result of the comparison operations performed estimated visibility and click-through rate values ​​compared to targeted visibility and When it detects that it is approaching click-through rate values, it applies advertising (2) 5 The relevant offer was accepted by the advertiser on the DSP platform. informing that it can be done, the estimated visibility in the comparison results and click-through rate values ​​compared to targeted visibility and click-through rate values When it detects that you are not approaching, it automatically applies advertising (3) By canceling the display of the relevant advertisement, the campaign budget was deemed insufficient. 10 at least one structured to report this information to the relevant authorities Digital advertising visibility and click-through rates characterized by server (4) a system that estimates the ratios (1).

2. In the advertising application, the demand-side platform (DSP) and the supply-side 15 (3) by authorized users of advertising companies located on the platform (SSP) using authorized users to communicate with other individuals and companies. mobile phones, tablets, computers, laptops configured to provide this Claim 1, characterized by an electronic device (2), which is a device in the form of a system that estimates the visibility and click-through rates of digital advertisements such as 20 (1).

3. The electronic device (2) is operated on the demand-side platform to which it is connected. Open advertising agreement to be made between the Delivery Service Provider (DSP) and the Supply-Side Platform (SSP). advertising practice structured to ensure the management of increases (3) and 25 the visibility of digital advertisements as characterized in Claim 1 or 2 and a system that estimates click-through rates (1).

4. The advertising budget entered on the advertising application (3) is the start and end of the advertisement. Expiration dates, target visibility rate, target click-through rate, and ad visuals 30 Machine learning applications like XGBoost and LightGBM analyze data in this format. by analyzing the relevant campaign with its algorithms or models calculating the estimated visibility rate and estimated click-through rate The above is characterized by the server (4) configured to provide As with any of the requests, the visibility and click-through rates of digital ads are 5. a system that estimates the ratios (1).

5. Estimated visibility and click-through rate data for ads, along with various external advertising strategies. information about past campaigns and seasonal fluctuations found in their services, consumer behavior and information about the placement of the advertisement, information about the size of the advertisement 10 By combining the inventory features of the advertisement in this form, XGBoost and LightGBM by analyzing with machine learning algorithms or models in this way the most likely visibility that the advertiser can achieve structured to present click-through rate and rate information in the form of recommendations. 15 as in any of the above requests characterized by the server (4). a system that estimates the visibility and click-through rates of digital ads (1).

6. The campaign information obtained and the highest-scoring information associated with that campaign. campaign including visibility rate and top click-through rate data 20 to automatically start the installation on the advertising application (3) any of the above requests characterized by the configured server (4) like one that estimates the visibility and click-through rates of digital ads system (1).