KR102570366B1 - Server for providing optimal marketing according to a product - Google Patents

Abstract

A server providing marketing services is provided.
A server providing marketing services includes at least one processor and a memory for storing instructions instructing the at least one processor to perform at least one step, and the at least one processor The step may include obtaining a first marketing result and a second marketing result for the first and second products; generating a marketing evaluation score based on a first marketing result and a second marketing result for the first and second products; generating marketing evaluation data based on the marketing evaluation score; and providing marketing evaluation data for a jth product among the first to second products to the outside.

Description

Server and operating method for presenting optimal marketing according to product {SERVER FOR PROVIDING OPTIMAL MARKETING ACCORDING TO A PRODUCT}

The present invention relates to a server and operating method for presenting optimal marketing according to a product.

The importance of marketing is increasing day by day in leading economic life in modern society. In particular, as the use of the Internet is rapidly increasing due to the use of smartphones, the importance of online marketing is increasing rather than offline marketing. Unlike offline marketing in which product information is provided to an unspecified number of people, it is important in online marketing to provide product information to accurately target more active users.

Products are continuously released, and marketers need to respond immediately with marketing plans for these products. However, as there is an excessive amount of existing marketing information, it may be difficult to establish an immediate marketing plan. Therefore, when a product is provided, it is necessary to provide optimal marketing suitable for the product.

Domestic Patent Publication 10-2018-0003802 A (2018.01.10) Domestic Patent Publication 10-2011-0013682 A (2011.02.10) Domestic Patent Publication 10-2015-0136647 A (2015.12.08)

An object of the present invention to solve the above problems is to build a database using marketing methods and marketing results performed on existing products. When marketing is performed for a product corresponding to an existing product, marketing can be efficiently planned using a database.

Technical tasks to be achieved in various embodiments are not limited to those mentioned above, and other technical tasks not mentioned are considered by those skilled in the art from various embodiments to be described below. It can be.

In order to achieve the above object, a server according to embodiments includes at least one processor and a memory for storing instructions instructing the at least one processor to perform at least one step. can do.

The at least one step may include obtaining a first marketing result and a second marketing result for the first and second products; generating a marketing evaluation score based on a first marketing result and a second marketing result for the first and second products; generating marketing evaluation data based on the marketing evaluation score; and providing marketing evaluation data for a jth product among the first to second products to the outside.

The obtaining of the first marketing result may include an m11th result derived at a c11 cost by using the first marketing for the first product; and obtaining an m12 th result derived at a cost c12 by using second marketing for the first product, wherein obtaining the second marketing result comprises using the first marketing for the second product. the m21 result derived at c21 cost by doing; and obtaining an m22th result derived at a c22 cost by using second marketing for the second product.

The generating of the marketing evaluation score may include calculating a marketing evaluation score s11 using the first marketing for the first product and calculating a marketing evaluation score s12 using the second marketing for the first product; Calculating a marketing evaluation score s21 using the first marketing for the second product and calculating a marketing evaluation score s22 using the second marketing for the second product, wherein the s11, s12, s21 and s22 can be calculated as follows.

s11 = m11/(c11)^(1/2)

s12 = m12/(c12)^(1/2)

s21 = m21/(c21)^(1/2)

s22 = m22/(c22)^(1/2)

The generating of the marketing evaluation data may include first data for a ratio of s11 and s12 with respect to the first product; And it may include generating second data for the ratio of s21 and s22 with respect to the second product.

In the step of providing marketing evaluation data for the j-th product to the outside, when the j-th product is the first product, the first data may be provided to the outside.

The at least one step may further include generating current marketing evaluation data, and the current marketing evaluation data may include a ratio of the sum of s11 and s21 to the sum of s12 and s22 .

The at least one step further includes providing marketing evaluation data for an h-th product different from the first and second products to the outside, and the marketing evaluation data for the h-th product is the sum of s11 and s21 and the ratio of the sum of s12 and s22.

The present invention can plan efficient marketing information for a matched product using marketing costs and marketing results for the product.

According to the embodiment, the most effective marketing at the present time can be predicted and used for product sales.

According to the embodiment, it is possible to predict efficient marketing information for a new product using the database.

According to the embodiment, marketing information may be provided to customers in real time and a marketing method may be modified immediately by receiving feedback.

The effects obtainable from the various embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived to those skilled in the art based on the detailed description below. can be understood

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description to aid understanding of the various embodiments, provide various embodiments and, together with the detailed description, describe technical features of the various embodiments.
1 is a diagram for explaining a server that presents optimal marketing according to products according to some embodiments.
2 is a flow chart for creating a database for marketing evaluation data in accordance with some embodiments.
FIG. 3 is a diagram for explaining the marketing evaluation score of FIG. 2 .
4 is a flowchart illustrating optimal marketing performance according to products according to some embodiments.
FIG. 5 is a diagram for explaining the marketing of FIG. 4 .
6 is a flowchart illustrating best marketing performance predictions at this point in time according to some embodiments.
7 is a flowchart illustrating marketing prediction for a product not present in a database, according to some embodiments.
FIG. 8 is a diagram for explaining marketing of the product h of FIG. 7 .
9 is a hardware configuration diagram of the server of FIG. 1;

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numerals have been used for like elements throughout the description of each figure.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. Terms are only used to distinguish one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram for explaining a server that presents optimal marketing according to products according to some embodiments.

1 shows an example of a method for suggesting optimal marketing according to a product, according to some embodiments. For example, the server 100 may correspond to a server that presents optimal marketing to customers. The first user terminal 210 and the second user terminal 220 may correspond to user terminals that transmit and receive data to and from the server 100 . Here, the first user terminal 210 may be a user terminal owned by a customer, and the second user terminal 220 may be a user terminal owned by a company. Here, the customer may request marketing through the first user terminal 210 and provide feedback on the marketing in real time. For example, a customer may correspond to a company requiring marketing. A company using the second user terminal 220 may correspond to a company that provides a professional marketing method. The second user terminal 220 may have access to the server 100 .

The external server 300 may correspond to a server that stores marketing data and the like. For example, the external server 300 may correspond to a server that stores previously performed marketing data. However, the embodiment of the present invention is not limited thereto, and the external server 300 may receive and store marketing data used by various companies. In addition, the external server 300 may store marketing results of companies other than simply marketing data. Marketing data may be generated by processing such marketing results, and the processed marketing data may be provided to the server 100 .

Here, the marketing data may include previously performed product, marketing, marketing cost information, marketing results, and the like.

The database 180 may correspond to a database providing data to the server 100 . The server 100 may store the derived data in the database 180 . However, the embodiment of the present invention is not limited thereto, and the server 100 may further include other components than those shown in order to operate.

In some embodiments, the server 100 may transmit and receive data to and from the first user terminal 210 , the second user terminal 220 , the database 180 and/or the external server 300 . Here, the database 180 may be included in the server 100.

In some embodiments, the first user terminal 210 and the second user terminal 220 may correspond to terminals or devices possessed by the user to use the server 100 . For example, the first user terminal 210 and the second user terminal 220 may be a communicable desktop computer, a laptop computer, a notebook, a smart phone, or a tablet PC. (tablet PC), mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera ( digital camera), DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA ( Personal Digital Assistant) and the like.

The customer may provide a marketing request signal to the server 100 using the first user terminal 210 . In addition, the customer may provide customer data to the server 100 using the first user terminal 210 . Here, the customer data may include information on a product the customer wants to sell, a marketing budget, and the like. The server 100 may generate marketing evaluation data using existing marketing results stored in the database 300 and marketing results obtained from the outside. In addition, the server 100 may derive optimal marketing by matching customer product information and marketing evaluation data. More detailed information on this will be described in more detail with reference to the drawings below in FIG. 2 .

Hereinafter, a marketing data providing method using the server 100 will be described with reference to FIGS. 1 to 5 .

2 is a flow chart for creating a database for marketing evaluation data in accordance with some embodiments. FIG. 3 is a diagram for explaining the marketing evaluation score of FIG. 2 . 4 is a flowchart illustrating optimal marketing performance according to products according to some embodiments. FIG. 5 is a diagram for explaining the marketing of FIG. 4 .

Referring to FIGS. 2 and 3 , a company may use a plurality of marketing for a plurality of products (S1000). Here, the plurality of marketing for a plurality of products may correspond to marketing performed before the customer requests marketing. Also, a plurality of marketing for a plurality of products may correspond to marketing information acquired from the outside. Here, the plurality of products may also include services provided to customers without being classified as objects. Here, the plurality of marketing may include viral marketing, performance marketing, SNS marketing, and the like. Viral marketing corresponds to generating and spreading natural word of mouth according to the purpose of the campaign, and may include blog influencer, SNS influencer, YouTube influencer, community viral, community experience group, and SNS community. Performance marketing is about efficient media mix based on data, and can include search ads, brand search ads, shopping search ads, banner ads, network ads, video ads, etc. SNS marketing refers to a method of communicating with users through brand channels, and may include brand blogs, brand SNDs, brand YouTube, power content advertisements, SNS advertisements, and YouTube advertisements. However, embodiments of the present invention are not limited thereto, and marketing may include various other methods in addition to the above-mentioned methods.

Subsequently, the server 100 may obtain a plurality of marketing results for a plurality of products (S1100). The company may perform a plurality of marketing for each product, and the server 100 may obtain marketing results for this.

Referring to FIG. 3 , the plurality of products may include first to xth products. The plurality of marketing may include first through k-th marketing. For example, the company may perform 1st to kth marketing for the first product, and may also perform 1st to kth marketing for the xth product. However, the company may not perform some marketing on the product. That is, the company may perform only the first marketing for the first product. However, for the sake of explanation, it will be described by taking an example as a company performing all of the first to k th marketing for a product.

The plurality of marketing results may include costs required for product marketing, product marketing results, and the like.

For example, the first marketing result for the first product includes the m11th result at cost c11, the second marketing result for the first product includes the m12th result at cost c12, and the first marketing result for the first product includes m12th result at cost c12. The k marketing result may include the m1kth result at c1k cost. For example, the first marketing result for the second product includes the m21th result at a cost c21, the second marketing result for the second product includes the m22th result at a cost c22, and the second marketing result for the second product The k marketing result may include the m2kth result at c2k cost. For example, the first marketing result for the x product includes the mx1 result at a cost cx1, the second marketing result for the x product includes the mx2 result at a cost cx2, and the second marketing result for the x product The k marketing result may include the mxkth result at cxk cost.

Here, the m11th to mxkth results may correspond to indicators of objectively evaluated marketing results. The m11th to mxkth results may be normalized to a value between 0 and 1. The marketing result may include a customer's resultant revenue, a customer's sales growth rate, a customer's profit rate, a customer's evaluation, the number of views of a web page, and the number of monthly active users of a web page. The marketing result may be calculated as a value between 0 and 1 by combining the above components.

Subsequently, the server 100 may generate a marketing evaluation score based on the marketing result (S1200). The server 100 may generate an evaluation score for each of a plurality of marketing for each of a plurality of products. At this time, the server 100 may generate a marketing evaluation score using the marketing result generated in step S1100.

Referring to FIG. 3 , the server 100 provides marketing evaluation scores (s11 to s1k) for the first product, marketing evaluation scores (s21 to s2k) for the second product, and marketing evaluation scores (sx1 to sx1 to s2k) for the second product. sxk), etc.

A marketing evaluation score using the first marketing for the first product is s11, a marketing evaluation score using the second marketing for the first product is s12, and a marketing evaluation score using the kth marketing for the first product is s1k. Here, s11, s12, and s1k may be calculated by Equations 1 to 3 below.

<Equation 1>

<Equation 2>

<Equation 3>

That is, the marketing evaluation score may be proportional to the marketing result and inversely proportional to the square root of the marketing cost. Accordingly, the marketing result may have a greater influence on the marketing evaluation score than the marketing cost. For example, the marketing evaluation score may be low when the marketing cost is high, but the marketing evaluation score may be high when the marketing result is excellent nonetheless.

The marketing evaluation score using the first marketing for the xth product is sx1, the marketing evaluation score using the second marketing for the xth product is sx2, and the marketing evaluation score using the kth marketing for the xth product is sxk. Here, sx1, sx2, and sxk may be calculated by Equations 4 to 6 below.

<Equation 4>

<Equation 5>

<Equation 6>

Accordingly, a marketing evaluation score may be calculated using a plurality of marketing results for each of a plurality of products.

Subsequently, the server 100 may generate marketing evaluation data based on the marketing evaluation score (S1300).

Marketing evaluation data may include information about marketing evaluation scores of specific marketing for the same product.

For example, the marketing evaluation data for the first product may include marketing evaluation scores (ss11 to ss1k) using the first to k th marketing methods for the first product.

The marketing evaluation relative score (ss11) using the first marketing for the first product is as shown in Equation 7 below.

<Equation 7>

The marketing evaluation relative score (ss12) using the second marketing for the first product is as shown in Equation 8 below.

<Equation 8>

The marketing evaluation relative score (ss1k) using the kth marketing for the first product is as shown in Equation 9 below.

<Equation 9>

Accordingly, the importance of specific marketing for the first product can be grasped through marketing evaluation relative scores (ss11 to ss1k).

In addition, the marketing evaluation data for the xth product may include marketing evaluation scores (ssx1 to ssxk) using the first to kth marketing for the xth product.

The marketing evaluation relative score (ssx1) using the first marketing for the xth product is as shown in Equation 10 below.

<Equation 10>

The marketing evaluation relative score (ssx2) using the second marketing for the xth product is as shown in Equation 11 below.

<Equation 11>

The marketing evaluation relative score (ssxk) using the kth marketing for the xth product is as shown in Equation 12 below.

<Equation 12>

Accordingly, the importance of specific marketing for the xth product can be grasped through marketing evaluation relative scores (ssx1 to ssxk).

The marketing evaluation data including the marketing evaluation relative scores (ss11 to ssxk) calculated as described above may be stored in the database 180 (S1400).

The company can perform effective marketing using marketing evaluation data including marketing evaluation relative scores (ss11 to ssxk). This will be described with reference to FIGS. 4 and 5 .

Referring to Figures 1, 4 and 5, the customer can provide the request signal (RQ) and customer data (CD) to the server 100 using the first user terminal 210 (S2000). Here, the request signal RQ may correspond to a signal requesting marketing. In addition, the customer data (CD) may include the customer's marketing target product, marketing budget, and the like. Customer data (CD) may be stored in the server 100 or the database 180. The company may inquire the request signal (RQ) and customer data (CD) using the second user terminal 220 .

The server 100 may match the customer data (CD) and marketing evaluation data (S2100). Referring to FIG. 5 , customer data (CD) may include information on a first product. The server 100 may match information on the first product included in the customer data CD with marketing evaluation data stored in the database 180 . Accordingly, the server 100 may determine that the product requested by the customer is the first product. In this case, the server 100 may search marketing evaluation data for the first product through keyword comparison, image comparison, and the like. The marketing evaluation data for the first product may include marketing evaluation relative scores (ss11 to ss1k).

The company may perform optimal marketing according to the marketing evaluation data (S2200). The company may perform marketing with the highest marketing evaluation relative score among marketing evaluation relative scores (ss11 to ss1k) for the first product. Accordingly, the customer can predict the best results by performing the marketing with the best performance.

Referring to FIG. 6, a method for predicting the best marketing performance at the present time will be described.

6 is a flowchart illustrating best marketing performance predictions at this point in time according to some embodiments.

Referring to FIG. 6 , the server 100 may generate a marketing evaluation score based on the marketing result (S1200). The server 100 may generate an evaluation score for each of a plurality of marketing for each of a plurality of products. Referring to FIG. 3 , the server 100 provides marketing evaluation scores (s11 to s1k) for the first product, marketing evaluation scores (s21 to s2k) for the second product, and marketing evaluation scores (sx1 to sx1 to s2k) for the second product. sxk), etc.

Subsequently, the server 100 may generate a marketing evaluation score for each marketing (S1500).

For example, the first marketing evaluation score sm1 is as shown in Equation 13 below.

<Equation 13>

For example, the kth marketing evaluation score (smk) is as shown in Equation 14 below.

<Equation 14>

The server 100 may perform marketing with the highest marketing evaluation score (S1600). For example, when the first marketing evaluation score sm1 is higher than the kth marketing evaluation score smk, the server 100 may perform the first marketing. Accordingly, regardless of the product, the company can perform the most efficient marketing at each point in time.

Marketing prediction for products that do not exist in the database 180 will be described with reference to FIGS. 7 and 8 .

7 is a flowchart illustrating marketing prediction for a product not present in a database, according to some embodiments. FIG. 8 is a diagram for explaining marketing of the product h of FIG. 7 .

Referring to FIGS. 7 and 8 , the server 100 may determine whether the h th product received from the customer is the same product among the first to x th products (S3000). The server 100 may determine whether the h-th product belongs to one of the first to x-th products using the trained neural network.

When the h-th product is the same product among the first to x-th products (S3000-Y), the server 100 may match customer data and marketing evaluation data (S2100), and according to the matching marketing evaluation data, an optimal Marketing may be performed (S2200). For example, when the hth product is the first product, the server 100 may perform marketing using first product marketing evaluation data for the first product.

If the h-th product is not the same product among the first to x-th products (S3000-N), the server 100 may derive a first product and an x-th product similar to the h-th product (S3100). Here, for example, it has been described that the first product and the xth product are derived, but the embodiment of the present invention is not limited thereto, and the derived product may be at least two of the first to xth products. The server 100 may derive a first product and an xth product similar to the hth product by using the trained neural network.

Subsequently, the server 100 may generate h-th marketing evaluation data based on the first and x-th marketing evaluation data (S3200). Here, the h th marketing evaluation data is a marketing evaluation score (sh1) using the first marketing for the h product, a marketing evaluation score (sh2) using the second marketing for the h product, and a marketing evaluation using the k th marketing for the h product. score (shk) and the like.

Here, the h th marketing evaluation data may be generated by calculating the first marketing evaluation data and the x th marketing evaluation data. For example, the first marketing evaluation score sh1 included in the h th marketing evaluation data is a marketing evaluation score s11 using the first marketing for the first product and a marketing evaluation score using the first marketing for the third product ( sx1), and the k th marketing evaluation score (shk) included in the h th marketing evaluation data is the marketing evaluation score (sk1) using the k th marketing for the first product and the k th marketing score (sk1) for the th product. may correspond to the sum of marketing evaluation scores (sk1) using The h th marketing evaluation data may correspond to ratios for each of the marketing evaluation scores sh1 to shk.

The server 100 may perform marketing using the h th marketing evaluation data (S3200). Accordingly, even if the h-th product does not belong to the first to x-th products, the server 100 may arbitrarily generate a marketing evaluation score for the h-th product to perform optimal marketing.

9 is a hardware configuration diagram of the server of FIG. 1;

Referring to FIG. 9 , the server 100 includes at least one processor 110 and/or a memory that stores instructions instructing the at least one processor 110 to perform at least one step. (memory, 120).

The at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments are performed. Each of the memory 120 and the storage device 160 may include at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 120 may include at least one of a read only memory (ROM) and a random access memory (RAM).

In addition, the server 100 may include a transceiver 130 that performs communication through a wireless network. In addition, the material history management server 100 may further include an input interface device 140, an output interface device 150, a storage device 160, and the like. Each component included in the material history management server 100 may be connected by a bus 170 to communicate with each other.

At least one step according to some embodiments may include obtaining a first marketing result and a second marketing result for the first and second products; generating a marketing evaluation score based on a first marketing result and a second marketing result for the first and second products; generating marketing evaluation data based on the marketing evaluation score; and providing marketing evaluation data for a jth product among the first to second products to the outside.

The acquiring of the first marketing result according to some embodiments may include an m11th result derived at a c11 cost by using the first marketing for the first product; and obtaining an m12 th result derived at a cost c12 by using second marketing for the first product, wherein obtaining the second marketing result comprises using the first marketing for the second product. the m21 result derived at c21 cost by doing; and obtaining an m22th result derived at a c22 cost by using second marketing for the second product.

Generating the marketing evaluation score according to some embodiments may include calculating a marketing evaluation score s11 using the first marketing for the first product, and a marketing evaluation score using the second marketing for the first product. Calculating s12, calculating a marketing evaluation score s21 using the first marketing for the second product, and calculating a marketing evaluation score s22 using the second marketing for the second product, wherein the s11 , s12, s21 and s22 can be calculated as follows.

s11 = m11/(c11)^(1/2)

s12 = m12/(c12)^(1/2)

s21 = m21/(c21)^(1/2)

s22 = m22/(c22)^(1/2)

The generating of the marketing evaluation data according to some embodiments may include first data for a ratio of s11 and s12 with respect to the first product; And it may include generating second data for the ratio of s21 and s22 with respect to the second product.

In the step of providing marketing evaluation data for the j-th product to the outside according to some embodiments, when the j-th product is the first product, the first data may be provided to the outside.

According to some embodiments, the at least one step may further include generating current marketing evaluation data, and the current marketing evaluation data may include a ratio of a sum of s11 and s21 to a sum of s12 and s22 .

The at least one step according to some embodiments further includes providing marketing evaluation data for an h-th product different from the first and second products to the outside, wherein the marketing evaluation data for the h-th product is The ratio of the sum of s11 and s21 and the sum of s12 and s22 may be included.

Embodiments may be implemented in the form of program instructions that can be executed through various computer means and recorded in computer readable media. Computer readable media may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on a computer readable medium may be specially designed and configured for the present invention or may be known and usable to those skilled in computer software.

Examples of computer readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include not only machine language codes generated by a compiler but also high-level language codes that can be executed by a computer using an interpreter and the like. The hardware device described above may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or device may be implemented by combining all or some of its components or functions, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

Claims (7)

As a server that provides marketing services,
processor; and
a memory for storing instructions instructing the processor to perform at least one step; including,
The processor:
Obtaining a first marketing result and a second marketing result for a first product and a second product;
Generating a marketing evaluation score based on the first marketing result and the second marketing result for the first product and the second product;
Generating marketing evaluation data based on the marketing evaluation score;
Providing marketing evaluation data for a j-th product among the first to second products to the outside;
The processor:
Obtaining an m11th result derived with a c11 cost by using a first marketing for the first product;
Obtaining an m12th result derived with c12 cost by using second marketing for the first product;
Obtaining an m21th result derived at a c21 cost by using the first marketing for the second product;
Obtaining an m22th result derived with c22 cost by using second marketing for the second product;
The processor:
Calculate a marketing evaluation score s11 using the first marketing for the first product;
Calculate a marketing evaluation score s12 using the second marketing for the first product;
Calculate a marketing evaluation score s21 using the first marketing for the second product;
Calculate a marketing evaluation score s22 using the second marketing for the second product,
The s11, s12, s21 and s22 are calculated based on the equation below,
[mathematical expression]
s11 = m11/(c11)^(1/2)
s12 = m12/(c12)^(1/2)
s21 = m21/(c21)^(1/2)
s22 = m22/(c22)^(1/2)
The processor:
Generating first data for the ratio of s11 and s12 for the first product;
For generating the second data for the ratio of s21 and s22 with respect to the second product, the server.
delete delete delete ◈Claim 5 was abandoned when the registration fee was paid.◈ According to claim 1,
wherein the processor provides the first data to the outside when the j-th product is a first product.
◈Claim 6 was abandoned when the registration fee was paid.◈ According to claim 1,
The processor generates current marketing evaluation data,
The current marketing evaluation data includes a ratio of the sum of s11 and s21 and the sum of s12 and s22.
◈Claim 7 was abandoned when the registration fee was paid.◈ According to claim 1,
The processor provides marketing evaluation data for an h-th product different from the first and second products to the outside;
The server, wherein the marketing evaluation data for the hth product includes a ratio of the sum of s11 and s21 and the sum of s12 and s22.