Farm document and travel product design method and system based on market research

Abstract

The invention discloses a farm document and travel product design method and system based on market research, and relates to the technical field of product design. The method comprises the following steps: S1, setting a product identifier of a to-be-designed farm travel product, and determining a target product set related to the to-be-designed farm travel product according to the product identifier; s2, identifying and acquiring a plurality of target users corresponding to the target product set through market investigation; the technical key points are as follows: through regular analysis of behavior data of a target user and generation and evaluation of a delivery efficiency value, quantitative evaluation of the design effect of each user or each type of users is realized, then VR technology optimization and delivery strategies of design information can be dynamically adjusted, the delivery accuracy and effect are improved, and the user experience is improved. And the putting efficiency value is used as a basis for correcting the putting frequency, so that after the originally established putting frequency is adjusted, the requirement of a user can be better met, and the product design effect is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of product design, and in particular to a farm cultural tourism product design method and system based on market research. Background Art

[0002] Product design refers to a series of marketing activities that companies use various strategies and means to introduce their products or services to target customer groups in order to increase brand awareness, improve market share, and promote sales growth; these activities are aimed at creating and maintaining customer demand for products or services, thereby achieving the company's business goals; For the design of farm cultural tourism products, the traditional approach is: adopt a multi-dimensional and comprehensive marketing strategy; first, through market research, identify the target customer group and understand their needs and preferences; then, we use a combination of online and offline methods to carry out extensive product promotion; online, we publish attractive content through social media platforms, such as farm scenery, special activities, tourist experience sharing, etc., and use SEO optimization and advertising to increase product exposure and click-through rate; offline, we organize various theme activities, such as parent-child tours, farming experiences, agricultural product picking, etc., to attract tourists to participate; at the same time, we establish cooperative relationships with travel agencies, schools and other institutions to expand sales channels.

[0003] The existing application number is 201811308290.0, and the document named "A method for designing agricultural products" points out that it includes the following steps: S1, receiving investment information of multiple investors, acquisition information of multiple demanders and production information of multiple farmers; S2, matching investors, demanders and farmers according to the investment information, acquisition information and production information, and generating matching information; S3, judging whether the three parties of investors, demanders and farmers are successfully matched; if the matching is successful, executing S4; if the matching is unsuccessful, returning to step S1; S4, generating a matching combination table between investors, demanders and farmers; S5, generating a preliminary contract containing the investment information, acquisition information and production information according to the matching combination table, and sending the preliminary contract to investors, demanders and farmers for review, and if the review is passed, executing step S6; the present invention also discloses a server and a computer program; it can reduce the unsalable agricultural products and allow farmers to have funds to invest in the production of agricultural products. It is designed for agricultural products, but does not make design adjustments based on user feedback.

[0004] In combination with the above documents and prior art: At present, after market research, online design methods are often used when designing farm cultural tourism products. Most of them use social media for advertising design and promotion. After big data analysis, the user group can be evaluated as a whole, thereby changing the design strategy. However, it does not take into account individual or the same type of users in a targeted manner, making the frequency of farm cultural tourism product advertisements fixed or not set in combination with actual conditions. For example, too much frequency may easily cause interference to users, and too little frequency may lead to failure to achieve the design effect. As a result, the existing design method cannot meet the needs of every user, and the optimization design method is not targeted. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a farm cultural tourism product design method and system based on market research. By regularly analyzing the behavioral data of target users, the delivery efficiency value is generated and evaluated, thereby achieving a quantitative evaluation of the design effect for each user or each type of user. The VR technology optimization and delivery strategy of the design information can then be dynamically adjusted, thereby improving the accuracy and effect of the delivery. The delivery efficiency value is used as the basis for correcting the delivery frequency, so that the originally established delivery frequency can be adjusted to better meet user needs, ensure product design effects, and solve the problems raised in the background technology.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: A farm cultural tourism product design method based on market research includes the following steps: S1. Set the product identification of the farm cultural tourism product to be designed, and determine a target product set related to the farm cultural tourism product to be designed based on the product identification; S2. Identify and obtain a number of target users corresponding to the target product set through market research; S3. Obtain consumption behavior information of each target user, and use data analysis technology to determine the consumption label of each target user based on the consumption behavior information; S4. Based on the consumption labels and the characteristics of the farm cultural tourism products to be designed, use VR technology to formulate benchmark design information; S5. Build a rule engine to obtain and selectively push design information with VR technology based on the age of target users. The push path may include but is not limited to email, social media, and SMS. S6. Under the condition that social media is selected as the push path, the behavior data of the corresponding target users is regularly analyzed to evaluate and generate the delivery efficiency value of the corresponding target users, the delivery efficiency value is compared with the standard threshold, and the comparison result is output; S7. Receive the comparison results and, if a warning signal is detected, execute the optimization mechanism within the next predetermined period T, monitor the delivery efficiency value of the corresponding target user after executing the optimization mechanism, and if a warning signal is detected for the second time, continue to execute the optimization mechanism within the next predetermined period T until no warning signal is detected.

[0007] Furthermore, the target product set includes but is not limited to parent-child activities and ecological experience projects on the farm; parent-child activities include animal feeding and handicrafts; and ecological experience projects include tree planting and crop picking.

[0008] Furthermore, the market research includes any one or more of questionnaire surveys, social media analysis, and historical sales data analysis; the target users identified and acquired are: user groups who are interested in or have purchasing behavior for farm tourism products.

[0009] Furthermore, the consumption behavior information includes but is not limited to: the target user's historical farm consumption records, browsed activity pages, and participated interactions; and the data analysis technology then used is keyword extraction technology.

[0010] Furthermore, the characteristics of the farm cultural tourism products to be designed are matched with consumption labels, and then the VR technology is used to produce VR advertisements, including: producing 360-degree panoramic video or picture advertisements for users to browse the farm cultural tourism products; and incorporating interactive elements into VR advertisements, including gesture recognition and voice recognition.

[0011] Furthermore, the process of selectively pushing the design information with VR technology added is as follows: According to the rule engine, for users aged between 18 and 35, VR technology is added to the design information and high-frequency push operations are selected; for users aged under 17 and over 60, VR technology is added to the design information and low-frequency push operations are selected; Among them, high frequency means 7 pushes per week; low frequency means 1 push per week.

[0012] Furthermore, the behavior data of the corresponding target users is regularly analyzed according to a predetermined period T, where the value of T is 7 to 30, and the behavior data of the corresponding target users includes: number of exposures, number of clicks, browsing time, and conversion behavior; The formula used to generate the delivery efficiency value for the target user in the current given period T is as follows: ; In the formula, P represents the delivery effectiveness value, C represents the number of clicks, E represents the number of exposures, D represents the browsing time, and O represents the conversion behavior, which represents the number of times farm cultural and tourism products are ordered within a given period T.

[0013] Furthermore, the delivery efficiency value is compared with the preset standard threshold, and the comparison results are as follows: When the delivery efficiency value exceeds the standard threshold, it means that the current push effect has reached the standard and no adjustment is made; When the delivery efficiency value does not exceed the standard threshold, it means that the current push effect does not meet the standard and a warning signal is issued.

[0014] Furthermore, the optimization mechanism implemented is as follows: S101. Optimize the design information with VR technology added, including adjusting visual effects and adding interactive elements; S102, adjusting the delivery strategy of the design information, including adjusting the delivery time and delivery frequency; The adjustment of the delivery time is as follows: using big data and artificial intelligence technology to obtain the active time period of the corresponding target users, and delivering the design information during the active time period; The process of adjusting the delivery frequency is as follows: According to the delivery efficiency value of the corresponding target user and in combination with the original delivery frequency, a delivery frequency adjustment value is generated, and the delivery frequency adjustment value is used as the adjusted delivery frequency; Frequency adjustment values ​​are generated using the following formula: ; In the formula, Ar represents the delivery frequency adjustment value, F represents the original delivery frequency, γ represents the adjustment coefficient, and the value range is: 0<γ<1, Mo represents the standard threshold, Indicates the upper limit of the increase in the original delivery frequency; Represents the ceiling function.

[0015] A farm cultural tourism product design system based on market research, the system includes: The identification determination module sets the product identification of the farm cultural tourism product to be designed, and determines a target product set related to the farm cultural tourism product to be designed according to the product identification; The target acquisition module identifies and acquires a number of target users corresponding to the target product set through market research; The consumption analysis module obtains the consumption behavior information of each target user and uses data analysis technology to determine the consumption label of each target user based on the consumption behavior information; Personalized design module, based on consumption labels and the characteristics of the farm cultural tourism products to be designed, uses VR technology to formulate benchmark design information; Target push module, builds a rule engine, obtains and selectively pushes design information with VR technology based on the age of target users, and the push paths include but are not limited to email, social media, and SMS; The feedback output module, under the condition that social media is selected as the push path, regularly analyzes the behavior data of the corresponding target users to evaluate and generate the delivery efficiency value of the corresponding target users, compares the delivery efficiency value with the standard threshold, and outputs the comparison result; The optimization and adjustment module receives the comparison results and executes the optimization mechanism within the next predetermined period T under the condition that the warning signal is detected, and monitors the delivery efficiency value of the corresponding target users after the execution of the optimization mechanism. If the warning signal is detected for the second time, the optimization mechanism will continue to be executed within the next predetermined period T until no warning signal is detected.

[0016] (III) Beneficial effects The present invention provides a farm cultural tourism product design method and system based on market research, which has the following beneficial effects: (1) This solution not only solves the problems of unclear goals and imprecise strategies faced by enterprises when designing farm cultural tourism products, but also improves marketing efficiency through a data-driven approach, accurately locates target markets and potential user groups, and lays a solid foundation for enterprises to achieve sustainable development; (2) This solution significantly improves the attractiveness of design information and user engagement by customizing design information based on the target user's consumption tags and using VR technology to provide an immersive experience. At the same time, by building a rule engine to selectively push design information with VR technology, it effectively balances the needs and acceptance of users of different age groups, avoiding excessive interference while ensuring effective communication of information. This solution not only improves design efficiency, but also promotes sales conversion and performance growth, achieving precise docking of technology and the market. (3) The present invention generates and evaluates the delivery efficiency value by regularly analyzing the behavioral data of target users, thereby achieving a quantitative evaluation of the design effect for each user or each type of user, which is different from the traditional overall evaluation of a large number of users. At the same time, according to the comparison result between the delivery efficiency value and the preset threshold, the VR technology optimization and delivery strategy of the design information are dynamically adjusted to improve the accuracy and effect of the delivery, and the delivery efficiency value is used as the basis for correcting the delivery frequency, so that the originally established delivery frequency can be adjusted to better meet the needs of users, which is convenient for further completing targeted product design actions and ensuring the product design effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is an overall flow chart of a farm cultural tourism product design method based on market research in the present invention; Figure 2 This is a modular schematic diagram of a farm cultural tourism product design system based on market research in the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1:

[0019] See also Figure 1 ,This embodiment provides a farm cultural tourism product design method based on market research; The specific steps include: S1. Determine product identification and target set: set the product identification of the farm cultural tourism product to be designed, and determine a target product set related to the farm cultural tourism product to be designed based on the product identification; Among them, the product identification of the farm cultural tourism product to be designed is a unique identifier, such as "Green Pastoral Family Tour", where "Green Pastoral Family Tour" is unique and unique; The target product collection includes, but is not limited to: parent-child activities and ecological experience projects on the farm; Parent-child activities include animal feeding and handicrafts; ecological experience projects include tree planting and crop picking; when the product logo is determined as "Green Pastoral Parent-child Tour", "Green Pastoral Parent-child Tour" is classified into one category with parent-child activities and ecological experience projects on the farm, thus forming a target product set; It should be noted that: determine a set of target products that are related or similar to the product to be designed. These products may have common market positioning, user groups or consumption characteristics.

[0020] Determining the target product set related to the product identity will help companies to more accurately locate the target market and potential user groups. By gaining an in-depth understanding of the characteristics of these target products and the needs of the audience, companies can formulate design strategies more specifically and improve marketing efficiency and effectiveness. At the same time, after clarifying the product identity and target set, companies can more effectively allocate marketing resources, such as funds, manpower and time. By concentrating resources on key areas and target users, they can maximize the design effect and reduce marketing costs.

[0021] S2. Obtain target user groups: Identify and obtain a number of target users corresponding to the target product set through market research; Among them, market research includes any one or more of questionnaire surveys, social media analysis, and historical sales data analysis; the identified and acquired target users are: user groups who are interested in or have purchasing behavior for farm tourism products; The manifestations of interest are as follows: For questionnaire surveys, we determine whether the corresponding user is interested by collecting the information source of the visiting user. If the user has a visit record, it means that the user is interested. For social media analysis, we determine whether the corresponding user is interested by collecting the user's browsing time on the page showing farm cultural tourism products. If the browsing time exceeds 3 seconds, it means that the user is interested. For historical sales data analysis, we determine whether the corresponding user is interested by collecting whether the user has a purchase record of farm cultural tourism products. If so, it means that the user is interested. For example: Through market research, it was found that the target users interested in "Green Pastoral Family Tour" are mainly families with children between the ages of 30 and 45; these families usually pay attention to their children's education and growth, like outdoor activities, and have a certain consumption capacity.

[0022] Through market research, we can accurately identify user groups that are interested in or have purchasing behavior for farm cultural and tourism products, which helps companies to more accurately grasp market demand and formulate targeted marketing strategies; by using questionnaires, social media analysis and historical sales data analysis, we can collect a large amount of user data, provide solid data support for corporate decision-making, and improve the scientificity and accuracy of decision-making.

[0023] S3. Analyze consumption behavior and determine consumption labels: Obtain consumption behavior information of each target user, and use data analysis technology to determine the consumption label of each target user based on the consumption behavior information; Among them, consumption behavior information includes: The target user’s farm consumption history, browsed activity pages, and participated interactions; For example, by collecting consumer behavior information of target users, we can find that they often participate in outdoor parent-child activities, pay attention to ecological and environmental protection topics, and share parent-child moments on social media. Based on this information, we can use data analysis technology to label target users as "paying attention to parent-child education", "liking outdoor activities", and "paying attention to ecological and environmental protection"; The data analysis technology used is keyword extraction technology, which is a text processing and data mining method that aims to automatically identify and extract the most representative and important words or phrases from a large amount of text data; these keywords can summarize the main content of the text and reflect its core theme or characteristics, thus facilitating subsequent data analysis, information retrieval, text classification and other tasks; Keyword extraction technology description: Data collection: First, it is necessary to collect the consumption behavior information of target users, corresponding to the target users' farm historical consumption records, the activity pages they have browsed, and the interactions they have participated in. These information are recorded in the form of text data, such as posts, comments on social media, and shopping record descriptions; Preprocessing: Preprocess the collected text data, including removing irrelevant characters (such as punctuation marks, numbers), word segmentation (splitting sentences into individual words), and stop word removal (removing common words that contribute nothing to the theme, such as "de", "shi"); Feature extraction: Use algorithms (such as TF-IDF, TextRank, BERT) to evaluate the importance of each word or phrase; this part of the algorithm will consider factors such as the frequency, position, and context relationship of the word in the text; Keyword selection: According to the results evaluated by the algorithm, select the most representative and important words or phrases as keywords; Illustrative example: Suppose the consumption behavior information of the target user collected includes the following paragraphs of text: "Last weekend, I took my child to participate in the community's parent-child tree-planting activity and felt it was very meaningful!" "Every outdoor activity is the happiest moment for the child, especially those activities that are in close contact with nature." "Sharing parent-child moments on social media has become a part of my life and is also a good way to record the growth of the child." After applying the keyword extraction technology, the following keywords will be obtained: Pay attention to parent-child education: Extracted from phrases such as "parent-child tree-planting activity", "parent-child time", "recording the growth of the child", etc., reflecting the target user's emphasis on parent-child education; Like outdoor activities: Extracted from phrases such as "outdoor activities", "close contact with nature", etc., indicating that the target user likes to participate in outdoor activities; Concerned about ecological environmental protection: Extracted from words such as "tree-planting activity", "nature", etc., showing the target user's concern about the topic of ecological environmental protection; These keywords accurately summarize the main consumption characteristics of the target user, helping enterprises to more accurately position the target user group and formulate targeted marketing strategies.

[0024] By adopting the above technical solutions, the technical problems of inaccurate target market positioning, unclear user group identification, and lack of pertinence in marketing strategies when enterprises design farm cultural and tourism products are solved, achieving the technical effects of accurately positioning the target market and potential user groups, improving the pertinence and scientific nature of marketing strategies, and enhancing marketing efficiency and effectiveness.

[0025] By implementing the above technical solutions, the company was able to effectively cope with the multiple challenges faced in the process of designing farm tourism products. First, by clearly defining the product logo "Green Pastoral Family Tour" and building a set of target products closely related to it, the company was able to accurately lock in the market positioning and ensure that the design activities were targeted. This step not only helped the company clarify the product features, but also promoted the effective allocation of resources. Secondly, by using market research methods to deeply explore the target user groups, companies can accurately grasp user needs and preferences, providing solid data support for formulating personalized and differentiated marketing strategies; whether it is questionnaire surveys, social media analysis or historical sales data, they have become valuable resources for understanding user psychology and optimizing product experience; Finally, by collecting and analyzing the consumption behavior information of target users and using keyword extraction technology to label users with accurate consumption tags, companies can build more detailed user portraits; this not only helps companies better understand users, but also promotes the accurate delivery of marketing information and improves user response rate and conversion rate; To sum up, this technical solution not only solves the problems of unclear goals and inaccurate strategies faced by enterprises when designing farm cultural and tourism products, but also improves marketing efficiency and reduces costs through a data-driven approach, laying a solid foundation for enterprises to achieve sustainable development.

[0026] S4. Generate personalized design information: Based on the consumption labels of target users and the characteristics of the farm cultural tourism products to be designed, use VR technology to formulate benchmark design information; Among them, the characteristics of the farm cultural tourism products to be designed match the consumption labels; For example, for users who “focus on parent-child education”, the educational value of the farming culture experience and parent-child interaction in the “Green Pastoral Parent-Child Tour” is emphasized; For users who “like outdoor activities”, highlight the outdoor adventure and nature observation elements in the product; For users who "care about ecological protection", introduce the environmental protection concept and sustainable development practice content in the product; VR technology is used in the production of VR advertising, including: Create 360-degree panoramic video or picture ads to allow users to browse farm tourism products or services in all directions, enhancing visual impact; Interactive ads: Incorporate interactive elements into VR ads, including gesture recognition and voice recognition, so that users can interact with the ad content, making the ads more interesting and attractive; For example, for users who “like outdoor activities”, VR technology can be used to add VR ads to the outdoor adventure section of the product and incorporate interactive elements. Nature observation can be achieved by creating 360-degree panoramic videos or picture ads.

[0027] Leverage the immersive experience and interactive features of VR technology to attract users to click on ads for further understanding; provide a unique immersive experience through VR ads to enhance users' awareness and favorability of products or services; and promote sales conversion and performance growth by increasing user engagement and purchasing intention.

[0028] S5. Send design information to target users: Build a rule engine to obtain and selectively push design information with VR technology based on the age of target users. The push path includes but is not limited to: email, social media, and text messages; The process of selectively pushing the design information with VR technology added is as follows: According to the rule engine, for users aged between 18 and 35, VR technology is added to the design information and high-frequency push operations are selected; for users aged under 17 and over 60, VR technology is added to the design information and low-frequency push operations are selected; Highest push age group (18 to 35 years old): Reason: Users in this age group usually have a high degree of acceptance and desire to explore new technologies, and are the main user groups of entertainment consumption, games and social media. VR technology, as an emerging technology, can provide them with an immersive experience and meet their needs for novelty and excitement. In addition, people in this age group are also the main force of future technology product consumption, and high-frequency push notifications can cultivate their interest and cognition of VR technology. Specific scope: For this age group, set a target of 7±2 times a week to push VR technology design information, which can cover the latest VR scenarios, application experiences, technological advances, and promotions to stimulate their interest and promote conversion; Low-frequency push age group (under 17 and over 60): Reason: Although users under the age of 17 are also curious about new technologies, they have relatively limited time and opportunities to use VR devices due to academic pressure and parental supervision. Therefore, low-frequency push notifications are suitable to avoid excessive interference with their daily life and study. At the same time, it is also necessary to ensure that the push content is in line with their age characteristics and interest preferences. Over 60 years old: Elderly users may have a relatively low acceptance of new technologies, and factors such as physical condition and vision may affect their experience of using VR devices; however, as the application of VR technology in health, tourism, education and other fields continues to expand, elderly users are gradually becoming a potential market; therefore, low-frequency push notifications are suitable for introducing the convenience, health benefits and safe use guidelines of VR technology to these users, gradually guiding them to understand and accept VR technology; Specific scope: For these two age groups, set a target of 1±2 times a week to push VR technology design information. The content should focus on practical application cases, health benefits, and safe use guidelines of VR technology to build trust and interest. In addition, for those aged 35 to 60, the design can be based on a set frequency, such as 2 to 6 ± 2 times per week.

[0029] The above-mentioned technical solution solves the problems that traditional design methods are difficult to accurately reach target users, the user experience is single and lacks interactivity, and users of different age groups have different acceptance of new technologies. By customizing design information according to the consumption tags of target users and using VR technology to provide an immersive experience, the attractiveness of design information and user engagement are significantly improved. At the same time, by building a rule engine to selectively push design information with VR technology, the needs and acceptance of users of different age groups are effectively balanced, which not only avoids excessive interference but also ensures the effective communication of information. This solution not only improves design efficiency, but also promotes sales conversion and performance growth, and realizes the precise connection between technology and the market.

[0030] S6. Target user feedback: When social media is selected as the push path, the behavior data of the corresponding target users is regularly analyzed to evaluate and generate a delivery efficiency value that reflects the effect of information push, and the delivery efficiency value is compared with the preset standard threshold to output the comparison result; Among them, the behavior data of the corresponding target users is analyzed regularly at a predetermined frequency, such as once a week; The behavior data of the corresponding target users include: The number of exposures, clicks, browsing time and conversion behavior; the behavior data is collected within a certain period T, which is 7 to 30 days. The regular interval is the certain period T. Therefore, after every certain period T, the operation of regularly analyzing the behavior data of the corresponding target users is completed. The formula used to generate the delivery efficiency value for the target user in the current period T is as follows: ; In the formula, P represents the delivery effectiveness value, C represents the number of clicks, E represents the number of exposures, D represents the browsing time (unit: minutes), and O represents the conversion behavior, that is, the number of times farm cultural tourism products are ordered; The logic is as follows: C / E stands for click-through rate, which reflects the attractiveness of information push. The higher the ratio of clicks to exposures, the more attractive the push content is. The square root of the average browsing time. The browsing time reflects the user's interest in the pushed content. In order to avoid the excessive impact of too long browsing time on the results, we take the square root of the browsing time (in minutes, so first divide it by 60); Indicates the conversion lift factor. Conversion behavior is the ultimate goal, so it should be given a larger weight. Here, the ratio of conversions to clicks (plus 1 to avoid the denominator being zero) is used to represent the conversion efficiency, and 1 is added to ensure that even if there is no conversion, the factor will not be zero; Example: Assume that in period T, the data of a user is as follows: Number of exposures E = 100; Number of clicks C = 20; Browsing time D = 120 minutes; Number of orders O = 5 Substitute into the formula to calculate: P=0.2×(2)^1 / 2×(1+5 / 21)=0.2×1.414×1.238≈0.346; It should be noted that this formula comprehensively considers the attractiveness of information push (click-through rate), user interest (browsing time) and the ultimate goal (conversion behavior), and can more comprehensively evaluate the effectiveness of delivery. Through reasonable mathematical processing (such as square root, plus 1, etc.), it avoids the influence of a single factor that is too large or too small on the result, making the evaluation more fair and accurate. The calculated delivery effectiveness value is a dimensionless value, which is convenient for comparison and analysis between different users or different cycles. According to the various factors in the formula, the push strategy can be optimized in a targeted manner, such as improving the attractiveness of the pushed content, increasing the user's browsing time or promoting conversion behavior. Comparing the delivery effectiveness value with the preset standard threshold, the comparison results are as follows: When the delivery efficiency value exceeds the standard threshold, it means that the current push effect is qualified and no adjustment is made; When the delivery efficiency value does not exceed the standard threshold, it means that the current push effect is unsatisfactory and a warning signal is issued; It should be noted that the standard threshold is used to determine whether the delivery effect meets the standard. Since the standard for the delivery effect meeting the standard is set artificially, the setting of the standard threshold is also based on the actual situation.

[0031] S7, execution and monitoring of the optimization mechanism: receiving the comparison results, and executing the optimization mechanism in the next predetermined period T if a warning signal is detected, monitoring the delivery efficiency value of the corresponding target user after the execution of the optimization mechanism, and if a warning signal is detected for the second time, continuing to execute the optimization mechanism in the next predetermined period T until no warning signal is detected; The optimization mechanism implemented is as follows: S101. Optimize the design information with VR technology added, including but not limited to: adjusting visual effects, adding interactive elements, and improving story lines. The specific optimization process can be improved according to actual needs to enhance user participation and interest. S102, adjusting the delivery strategy of the design information, including adjusting the delivery time and delivery frequency; The adjustment of delivery time is as follows: using big data and artificial intelligence technology to obtain the active time periods of the corresponding target users, and accurately delivering design information during the active time periods; It should be noted that: by using big data and artificial intelligence technology, we can accurately obtain the active time periods of target users, and on this basis, we can accurately design information delivery; specifically, firstly, through big data analysis, we can mine the historical behavior data of users, including their access time, browsing history, and purchase behavior, so as to identify their active time periods; at the same time, we can use artificial intelligence technology, such as machine learning algorithms, to learn and predict users' behavior patterns, so as to more accurately grasp their active time; The process of adjusting the delivery frequency is as follows: According to the delivery efficiency value of the corresponding target user and in combination with the original delivery frequency, a delivery frequency adjustment value is generated, and the delivery frequency adjustment value is used as the adjusted delivery frequency; Frequency adjustment values ​​are generated using the following formula: ; In the formula, Ar represents the delivery frequency adjustment value, F represents the original delivery frequency (times / cycle, a positive integer), γ represents the adjustment coefficient, which is used to control the adjustment range and can be set according to the actual situation. The value range is: 0<γ<1, Mo represents the standard threshold, Indicates the upper limit of the increase in the original delivery frequency to avoid excessive frequency; is a round-up function to ensure that the adjusted frequency is a positive integer; Logic description: (Mo-P) / Mo: Calculate the relative gap between the delivery efficiency value and the standard threshold; Used to limit the upper limit of the adjustment range. When the original delivery frequency F approaches or reaches the upper limit of the original delivery frequency, the value approaches 1 or is equal to 1, so that the adjustment range is limited; Example: Assumptions: P=0.3; Mo=0.5; F=10 times / cycle; γ=0.2; Fmax=12; Substitute into the formula to calculate: ; In summary, according to the comparison results between the delivery efficiency value and the standard threshold, the delivery frequency is dynamically adjusted to improve the delivery effect; the upward rounding function is used to ensure that the delivery frequency adjustment value is a positive integer to meet actual needs; the maximum delivery frequency (that is, the upper limit of the increase in the original delivery frequency) and the adjustment coefficient are introduced to limit the upper limit of the adjustment range to avoid waste of resources or decreased user experience due to excessive frequency.

[0032] The above technical solution solves the technical problems of inaccurate delivery effect evaluation, lack of targeted optimization mechanism and unreasonable resource allocation in social media design. By regularly analyzing the behavioral data of target users, the delivery efficiency value is generated and evaluated, and the quantitative evaluation of the design effect of each user or each type of user is realized, which is different from the traditional overall evaluation of massive users. At the same time, according to the comparison result of the delivery efficiency value and the preset threshold, the VR technology optimization and delivery strategy of the design information are dynamically adjusted to improve the accuracy and effect of the delivery. The delivery efficiency value is used as the basis for correcting the delivery frequency, so that the originally established delivery frequency can better meet the needs of users, which is convenient for further completing targeted product design actions and ensuring the product design effect. Embodiment 2:

[0033] See also Figure 2 Based on Example 1, this embodiment further provides a farm cultural tourism product design system based on market research, the system comprising:

[0034] The identification determination module sets the product identification of the farm cultural tourism product to be designed, and determines a target product set related to the farm cultural tourism product to be designed according to the product identification; The target acquisition module identifies and acquires a number of target users corresponding to the target product set through market research; The consumption analysis module obtains the consumption behavior information of each target user and uses data analysis technology to determine the consumption label of each target user based on the consumption behavior information; Personalized design module, based on consumption labels and the characteristics of the farm cultural tourism products to be designed, uses VR technology to formulate benchmark design information; Target push module, builds a rule engine, obtains and selectively pushes design information with VR technology based on the age of target users, and the push paths include but are not limited to email, social media, and SMS; The feedback output module, under the condition that social media is selected as the push path, regularly analyzes the behavior data of the corresponding target users to evaluate and generate the delivery efficiency value of the corresponding target users, compares the delivery efficiency value with the standard threshold, and outputs the comparison result; The optimization and adjustment module receives the comparison results and executes the optimization mechanism within the next predetermined period T under the condition that the warning signal is detected, and monitors the delivery efficiency value of the corresponding target users after the execution of the optimization mechanism. If the warning signal is detected for the second time, the optimization mechanism will continue to be executed within the next predetermined period T until no warning signal is detected.

[0035] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0036] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0037] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0038] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A farm tourism product design method based on market research, characterized in that: The steps include: Set the product identification of the farm cultural tourism product to be designed, and determine a target product set related to the farm cultural tourism product to be designed based on the product identification; Through market research, identify and acquire several target users corresponding to the target product set; Obtain consumption behavior information of each target user, and use data analysis technology to determine the consumption label of each target user based on the consumption behavior information; According to the consumption labels and the characteristics of the farm cultural tourism products to be designed, use VR technology to formulate benchmark design information; Build a rule engine to obtain and selectively push design information with VR technology based on the age of target users, including but not limited to email, social media, and SMS; Under the condition that social media is selected as the push path, the behavior data of the corresponding target users is analyzed regularly to evaluate and generate the delivery efficiency value of the corresponding target users, the delivery efficiency value is compared with the standard threshold, and the comparison result is output; Receive the comparison results, and if a warning signal is detected, execute the optimization mechanism within the next predetermined period T, monitor the delivery efficiency value of the corresponding target user after executing the optimization mechanism, and if a warning signal is detected for the second time, continue to execute the optimization mechanism within the next predetermined period T until no warning signal is detected.

2. A farm tourism product design method based on market research according to claim 1, characterized in that: The target product collection includes but is not limited to parent-child activities and ecological experience projects on the farm; parent-child activities include animal feeding and handicrafts; ecological experience projects include afforestation and crop picking.

3. A farm tourism product design method based on market research according to claim 1, characterized in that: Market research includes any one or more of the following methods: questionnaire surveys, social media analysis, and historical sales data analysis; the target users identified and acquired are: user groups who are interested in or have purchasing behavior for farm tourism products.

4. A farm tourism product design method based on market research according to claim 3, characterized in that: Consumption behavior information includes but is not limited to: the target user's historical farm consumption records, browsed activity pages, and participated interactions; and the data analysis technology used is keyword extraction technology.

5. A farm tourism product design method based on market research according to claim 4, characterized in that: The characteristics of the farm cultural tourism products to be designed should be matched with consumption labels, and then VR technology will be used to produce VR advertisements, including: producing 360-degree panoramic video or picture advertisements for users to browse farm cultural tourism products; integrating interactive elements into VR advertisements, including gesture recognition and voice recognition.

6. A farm tourism product design method based on market research according to claim 5, characterized in that: The process of selectively pushing design information with VR technology added is as follows: According to the rule engine, for users aged between 18 and 35, VR technology is added to the design information and high-frequency push operations are selected; for users aged under 17 and over 60, VR technology is added to the design information and low-frequency push operations are selected; Among them, high frequency means 7 pushes per week; low frequency means 1 push per week.

7. A farm tourism product design method based on market research according to claim 6, characterized in that: The behavior data of the corresponding target users is analyzed regularly according to a predetermined period T, where the value of T is 7 to 30, and the behavior data of the corresponding target users includes: number of exposures, number of clicks, browsing time, and conversion behavior; The formula used to generate the delivery efficiency value for the target user in the current given period T is as follows: ； In the formula, P represents the delivery effectiveness value, C represents the number of clicks, E represents the number of exposures, D represents the browsing time, and O represents the conversion behavior, which represents the number of times farm cultural and tourism products are ordered within a given period T.

8. A farm tourism product design method based on market research according to claim 7, characterized in that: Comparing the delivery effectiveness value with the preset standard threshold, the comparison results are as follows: When the delivery efficiency value exceeds the standard threshold, it means that the current push effect has reached the standard and no adjustment is made; When the delivery efficiency value does not exceed the standard threshold, it means that the current push effect does not meet the standard and a warning signal is issued.

9. A farm tourism product design method based on market research according to claim 8, characterized in that: The optimization mechanism implemented is as follows: S101. Optimize the design information with VR technology added, including adjusting visual effects and adding interactive elements; S102, adjusting the delivery strategy of the design information, including adjusting the delivery time and delivery frequency; The adjustment of the delivery time is as follows: using big data and artificial intelligence technology to obtain the active time period of the corresponding target users, and delivering the design information during the active time period; The process of adjusting the delivery frequency is as follows: According to the delivery efficiency value of the corresponding target user and in combination with the original delivery frequency, a delivery frequency adjustment value is generated, and the delivery frequency adjustment value is used as the adjusted delivery frequency; Frequency adjustment values ​​are generated using the following formula: ； In the formula, Ar represents the delivery frequency adjustment value, F represents the original delivery frequency, γ represents the adjustment coefficient, and the value range is: 0<γ<1, Mo represents the standard threshold, Indicates the upper limit of the increase in the original delivery frequency; Represents the ceiling function.

10. A farm tourism product design system based on market research, used to implement the design method described in any one of claims 1 to 9, characterized in that: The system includes: The identification determination module sets the product identification of the farm cultural tourism product to be designed, and determines a target product set related to the farm cultural tourism product to be designed according to the product identification; The target acquisition module identifies and acquires a number of target users corresponding to the target product set through market research; The consumption analysis module obtains the consumption behavior information of each target user and uses data analysis technology to determine the consumption label of each target user based on the consumption behavior information; Personalized design module, based on consumption labels and the characteristics of the farm cultural tourism products to be designed, uses VR technology to formulate benchmark design information; Target push module, builds a rule engine, obtains and selectively pushes design information with VR technology based on the age of target users, and the push paths include but are not limited to email, social media, and SMS; The feedback output module, under the condition that social media is selected as the push path, regularly analyzes the behavior data of the corresponding target users to evaluate and generate the delivery efficiency value of the corresponding target users, compares the delivery efficiency value with the standard threshold, and outputs the comparison result; The optimization and adjustment module receives the comparison results and executes the optimization mechanism within the next predetermined period T under the condition that the warning signal is detected, and monitors the delivery efficiency value of the corresponding target users after the execution of the optimization mechanism. If the warning signal is detected for the second time, the optimization mechanism will continue to be executed within the next predetermined period T until no warning signal is detected.

Images