A simulation verification method and system for marketing activities

Abstract

The present invention relates to the field of marketing planning, and discloses a simulation verification method and system for marketing activities, including the following steps: Step 1: setting a marketing purpose, clarifying the purpose that the marketing activity wants to achieve, that is, marketing purpose information; Step 2: conducting market research to collect research data; Step 3: processing the collected research data to obtain user tendency information; Step 4: formulating marketing activities according to the marketing purpose and user tendency information; Step 5: evaluating the formulated marketing activities to obtain activity evaluation information; Step 6: selecting a marketing activity according to the activity evaluation information, and then conducting a delivery test to obtain delivery test information; Step 7: when the delivery test information indicates that the delivery test has passed, the formulated marketing activity is delivered. The present invention can formulate a marketing activity with better effect, and can perform a more comprehensive simulation verification on the marketing activity.

Description

Technical Field

[0001] The present invention relates to the field of marketing planning, and in particular to a simulation verification method and system for marketing activities. Background Art

[0002] Marketing activities are a series of activities planned and executed by a company or brand to promote products, services or brand image, attract and encourage target consumers to take purchasing actions or enhance brand awareness. These activities are designed to establish connections with consumers, convey brand value, stimulate purchasing desire, and ultimately achieve sales growth and increase market share;

[0003] In the process of formulating marketing activities, simulation verification is needed to understand the feasibility of the activities, that is, simulation verification methods and systems will be used to formulate and verify the activities.

[0004] The existing simulation verification methods and systems do not have a high enough fit between the marketing activities developed and the actual marketing products, and the verification test type is single, which makes it impossible to accurately evaluate the marketing effect, and may cause financial losses due to blind investment in marketing activities, which has a certain impact on the use of simulation verification methods and systems. Therefore, a simulation verification method and system for marketing activities are proposed. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides a simulation verification method for marketing activities, comprising the following steps:

[0006] Step 1: Set marketing objectives and clarify the purpose of the marketing activities, that is, marketing objective information;

[0007] Step 2: Conduct market research and collect research data;

[0008] Step 3: Process the collected survey data to obtain user preference information;

[0009] Step 4: Formulate marketing activities based on marketing objectives and user preference information;

[0010] Step 5: Evaluate the formulated marketing activities and obtain activity evaluation information;

[0011] Step 6: Select a marketing campaign based on the campaign evaluation information, and then conduct a launch test to obtain the launch test information;

[0012] Step 7: When the delivery test information indicates that the delivery test has passed, the marketing campaign that has been formulated will be delivered;

[0013] Step 8: After the marketing campaign is launched, monitor the marketing campaign in real time and optimize the campaign in real time if there are any anomalies.

[0014] Furthermore, the marketing purpose acquisition process includes manual setting and historical analysis;

[0015] Manual setting, that is, the enterprise sets the purpose of the marketing activity according to actual needs;

[0016] Historical analysis means that the company analyzes the historical user information of the product, obtains historical analysis information, and determines the final marketing activity objectives based on the historical analysis information. The marketing activity objectives include increasing activity and expanding new customers.

[0017] Furthermore, the specific process of the historical analysis is as follows:

[0018] Extract the historical user information of the product, analyze the historical user information, and obtain the maximum number of historical users, the maximum number of historical active users, and the current number of active users;

[0019] The historical maximum number of users, the historical maximum number of active users, and the current number of active users are processed to obtain a first evaluation parameter and a second evaluation parameter;

[0020] When the first evaluation parameter is abnormal, activity enhancement is selected for marketing purposes;

[0021] When the second evaluation parameter is abnormal, developing new customers is selected as the marketing purpose;

[0022] When both the first evaluation parameter and the second evaluation parameter are abnormal, the second evaluation parameter shall prevail.

[0023] Furthermore, the process of obtaining the first evaluation parameter and the second evaluation parameter and the process of abnormality determination are as follows:

[0024] Extract the maximum number of historical users collected and the current number of active users, calculate the ratio of the current number of active users to the maximum number of historical users, and obtain the active ratio, that is, the first evaluation parameter. When the first evaluation parameter is less than a preset value, it indicates that there is an abnormality;

[0025] Then collect and calculate the difference between the historical maximum number of active users and the current number of active users to obtain the second evaluation parameter. When the historical maximum number of users is greater than the preset value and the second evaluation parameter is less than the preset value, it means that the second evaluation parameter is abnormal.

[0026] Furthermore, the specific process of obtaining user preference information is as follows:

[0027] Send a questionnaire about the product held by historical users to investigate whether they are willing to participate in the subsequent activities of the product. The number of users who responded that they are willing to participate in the questionnaire is marked as a1, the number of users who responded that they are not willing to participate in the questionnaire is marked as a2, the number of users who did not respond to the questionnaire is marked as a3, and the number of questionnaires sent is marked as Q;

[0028] Calculate the ratio of a1 to Q to obtain a first evaluation ratio Qa1, calculate the ratio of a2 to Q to obtain a second evaluation ratio Qa2, calculate the ratio of a3 to Q to obtain a third evaluation ratio Qa3;

[0029] The comprehensive evaluation ratio Qq is obtained through the formula (Qa1+Qq2) / Qa3=Qq. When the comprehensive evaluation ratio Qq is greater than or equal to the preset value, the user tendency information is generated. At this time, the specific content of the user tendency information is that the user is likely to participate in the activity.

[0030] When the comprehensive evaluation ratio Qq is less than the preset value, user tendency information is generated. At this time, the specific content of the user tendency information is that the possibility of the user participating in the activity is low.

[0031] Furthermore, the specific process of formulating marketing activities according to the marketing purpose and user tendency information is as follows:

[0032] Extract marketing objectives and user tendency information, import the marketing objectives and user tendency information into the preset activity model library, retrieve the three activity templates that best match the marketing objectives and user tendency information from the preset activity model library, edit the activity content of the three activity templates according to the product content, and then export them as marketing activities.

[0033] Furthermore, the specific process of evaluating the formulated marketing activities and obtaining the activity evaluation information is as follows:

[0034] Extract the three marketing activities obtained, conduct trial delivery of the three marketing activities, and push the three marketing activities to the same number of users respectively;

[0035] Then, the information related to participation in the three marketing activities is extracted, including the number of people who participated in the activities and the number of people who clicked to enter the activity page;

[0036] The number of people participating in the activity and the number of people who clicked to enter the activity page are processed to calculate the ratio U1 of the number of people participating in the activity to the total number of people pushed, and then the ratio U2 of the number of people entering the activity page to the total number of people pushed, and a weight value M1 is assigned to U1, and a weight value M2 is assigned to U2, M1+M2=1, M1>M2, and the activity evaluation information Uu is obtained through the formula U1*M1+U2*M2=Uu;

[0037] The process of selecting a marketing activity based on the activity evaluation information is as follows: the marketing activity corresponding to the maximum value of the activity evaluation information Uu is selected as the marketing activity finally selected.

[0038] Furthermore, the process of conducting a delivery test and obtaining delivery test information is as follows:

[0039] After launching the marketing campaign, monitor it in real time to monitor the number of clicks into each marketing area in the marketing campaign interface, the number of participants in each marketing area, and the number of new users added;

[0040] The number of clicks into each marketing area is marked as Gi, the number of participants in each marketing area activity is marked as Yi, and the number of new users increased is P;

[0041] When the number of regions in Gi that is greater than a preset value and the number of regions in Yi that is greater than a preset value exceed the preset value, and the number of new users P that increases is greater than a preset value b1, the test pass information is generated;

[0042] When the number of new users P increases to a value greater than the preset value b2, a test pass message is generated regardless of the values ​​of Gi and Pi;

[0043] Except for the above process, all other processes will generate test failure information.

[0044] Furthermore, the marketing activities are monitored in real time. When there are abnormalities, the specific process of real-time activity optimization is as follows:

[0045] Collect the number of holders of marketing products and the activity rate of the products before the marketing campaign is launched;

[0046] Then extract the number of holders of marketing products and the activity rate of products after the marketing campaign is launched;

[0047] Calculate the difference between the number of marketing product holders after the marketing campaign is launched and the number of marketing product holders before the marketing campaign is launched to obtain the personnel evaluation difference;

[0048] Then calculate the difference between the activity rate of the product after the marketing campaign is launched and the activity rate of the product before the marketing campaign is launched to obtain the activity rate difference;

[0049] When either the personnel evaluation difference or the activity rate difference is less than the preset value, real-time activity optimization is generated;

[0050] Then collect the ratio of the area of ​​each marketing area of ​​the marketing activity to the area of ​​the total marketing page to obtain the page share;

[0051] When the number of clicks into any marketing area is less than the preset value, and the page share of the marketing area is greater than the preset value, it means that there is an abnormality, and real-time activity optimization is generated;

[0052] After the activity optimization information is generated, the display area of ​​the display device is collected, and the display area is marked as Z. When Z is greater than or equal to the preset value m, the first optimization method is selected, and when Z is less than the preset value m, the second optimization method is selected;

[0053] The specific optimization process of the first optimization method is as follows: collect the three corresponding marketing areas with the highest participation score G in the current marketing area as the push area, and then reset the marketing area area, and adjust the area corresponding to the marketing activities with the participation score Gmax in the marketing area to 1 / 3 of the area of ​​the total marketing page;

[0054] Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 4 of the area of ​​the total marketing page;

[0055] Adjust the area corresponding to the marketing activities with a score of Gmax-2 in the marketing area to 1 / 5 of the area of ​​the total marketing page;

[0056] When the area corresponding to the Gmax marketing campaign, the area corresponding to the Gmax-1 marketing campaign, and the area corresponding to the Gmax-2 marketing campaign have been displayed for a preset time, the three corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas;

[0057] Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax;

[0058] Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1;

[0059] Replace the marketing area of ​​Gmax-2 with the marketing area of ​​Gmin-2;

[0060] After the marketing area is replaced, the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are collected. When the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are still less than the preset value, the three corresponding marketing areas with the largest current participation scores G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activities to replace the marketing areas corresponding to Gmin, Gmin-1 and Gmin-2;

[0061] The specific optimization process of the second optimization method is as follows: collect the two corresponding marketing areas with the highest participation score G in the current marketing area as the push area, and then reset the marketing area area, and adjust the area corresponding to the marketing activity with the participation score Gmax in the marketing area to 1 / 2 of the area of ​​the total marketing page;

[0062] Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 3 of the area of ​​the total marketing page;

[0063] When the area corresponding to the Gmax marketing campaign and the area corresponding to the Gmax-1 marketing campaign have been displayed for a preset time, the two corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas;

[0064] Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax;

[0065] Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1;

[0066] After the marketing area is replaced, the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is collected. When the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is still less than the preset value, the two corresponding marketing areas with the largest current participation score G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activity to replace the marketing areas corresponding to Gmin and Gmin-1;

[0067] The process of obtaining the participation score G is as follows: extract the number of participating users and the number of effective stays in the marketing area. The effective stay number is the number of users who click to enter the marketing area for more than a preset time;

[0068] The number of participating users is marked as H1, and the number of effective stays is marked as H2;

[0069] Assign H1 a weight Y1, H2 a weight H2, H2+H1=1, H1>H2;

[0070] The participation score G can be obtained through the formula H1*Y1+H2*Y2=Hh.

[0071] A simulation verification system for marketing activities, the system comprising:

[0072] The marketing objective setting module is used to clarify the objectives that marketing activities want to achieve, that is, marketing objective information;

[0073] Research module, used to conduct market research and collect research data;

[0074] The data processing module processes the collected survey data to obtain user tendency information;

[0075] The activity formulation module formulates marketing activities according to marketing objectives and user tendency information;

[0076] Activity evaluation module, which evaluates the formulated marketing activities and obtains activity evaluation information;

[0077] The delivery test module selects marketing activities based on activity evaluation information, conducts delivery tests, and obtains delivery test information;

[0078] Activity delivery module: when the delivery test information indicates that the delivery test has passed, the marketing activity that has been formulated will be delivered;

[0079] The activity monitoring module monitors the marketing activities in real time after they are launched, and optimizes the activities in real time when anomalies occur.

[0080] The beneficial effects of the present invention are embodied in:

[0081] The simulation verification method and system of the marketing activity improves the pertinence and effectiveness of the activity by clearly setting the marketing objectives;

[0082] By obtaining information on user preferences based on market research and data processing, marketing activities can be more closely aligned with consumer needs, improving market insight and precision marketing capabilities.

[0083] Marketing activities developed based on marketing objectives and user preference information are more personalized and customized. This strategy can better attract the interests of target user groups and increase the participation and conversion rate of activities.

[0084] By evaluating the marketing activities developed and selecting activities based on the evaluation results, the quality and feasibility of the activities are ensured;

[0085] Delivery testing and real-time monitoring make it possible to continuously optimize activities, so that marketing activities can flexibly respond to market changes and user feedback;

[0086] Through simulation verification and delivery testing, potential problems can be discovered and resolved before the official launch, thus reducing the risk of activity failure;

[0087] Real-time monitoring and exception handling ensure that marketing activities can quickly respond to market changes and user feedback after launch. The real-time response capability enables marketing activities to adjust strategies in a timely manner, seize market opportunities, improve marketing effects, and better improve the execution efficiency and management level of marketing activities.

[0088] Since marketing activities are closer to user needs and preferences, they can provide a better user experience. This not only helps to improve user satisfaction and loyalty, but also attracts more potential customers through word-of-mouth communication, effectively improving the efficiency and success rate of marketing activities, reducing risks, and optimizing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0090] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0091] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0092] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0093] like Figure 1 As shown, a simulation verification method for a marketing activity includes the following steps:

[0094] Step 1: Set marketing objectives and clarify the purpose of the marketing activities, that is, marketing objective information;

[0095] Step 2: Conduct market research and collect research data;

[0096] Step 3: Process the collected survey data to obtain user preference information;

[0097] Step 4: Formulate marketing activities based on marketing objectives and user preference information;

[0098] Step 5: Evaluate the formulated marketing activities and obtain activity evaluation information;

[0099] Step 6: Select a marketing campaign based on the campaign evaluation information, and then conduct a launch test to obtain the launch test information;

[0100] Step 7: When the delivery test information indicates that the delivery test has passed, the marketing campaign that has been formulated will be delivered;

[0101] Step 8: After the marketing campaign is launched, monitor the marketing campaign in real time and optimize the campaign in real time if there are any anomalies.

[0102] The marketing purpose acquisition process includes manual setting and historical analysis;

[0103] Manual setting, that is, the enterprise sets the purpose of the marketing activity according to actual needs;

[0104] Historical analysis, that is, the company analyzes the historical user information of the product, obtains historical analysis information, and determines the final marketing activity objectives based on the historical analysis information. The marketing activity objectives include increasing activity and expanding new customers;

[0105] Through the above process, in the process of obtaining marketing objectives, combining manual setting with historical analysis methods can help companies formulate marketing strategies more accurately and improve the overall effectiveness of marketing activities. The following is a detailed explanation of these advantages:

[0106] Manual setting: Enterprises directly set marketing objectives based on actual needs, which can ensure that the goals of marketing activities are highly consistent with the overall strategy, market positioning or business needs of the enterprise in a specific period. This directness makes the marketing objectives clearer and more specific, which is conducive to the precise execution of subsequent activities.

[0107] Through in-depth analysis of product historical user information, companies can understand key information such as user purchasing behavior, preference changes, active cycles, etc. This information provides data support for setting marketing goals, making marketing activity goals (such as increasing activity and developing new customers) closer to actual user needs, and enhancing the pertinence and effectiveness of activities.

[0108] The historical analysis process introduces a data-driven decision-making mechanism, so that the setting of marketing objectives no longer relies solely on subjective judgment or experience, but is based on in-depth analysis of user behavior and market trends. This scientific approach helps reduce the blindness and arbitrariness of decision-making and improves the rationality and feasibility of marketing activities.

[0109] Combining manual settings and historical analysis, companies can flexibly adjust marketing objectives while maintaining sensitivity to market demand. When the market environment, user behavior or corporate strategy changes, companies can respond quickly by resetting or adjusting marketing objectives to adapt to new situations and maintain the competitiveness and vitality of marketing activities.

[0110] The combination of the two methods makes the process of obtaining marketing objectives more comprehensive and systematic. Manual setting provides strategic guidance and directional grasp, while historical analysis provides specific data support and detailed insights. The two complement each other and together form a complete framework for formulating marketing objectives.

[0111] Improve user experience and loyalty: Marketing activities (such as increasing activity and developing new customers) formulated after understanding user needs and preferences through historical analysis can better meet user expectations and improve user experience. At the same time, these targeted marketing activities also help to enhance user awareness and loyalty to the brand, promote word-of-mouth communication and the establishment of long-term cooperative relationships.

[0112] The method of combining manual setting and historical analysis in the process of obtaining marketing objectives has significant advantages such as accuracy, scientificity, flexibility, comprehensiveness, and improved user experience and loyalty. These advantages help companies formulate more effective marketing strategies and improve the effectiveness and influence of marketing activities.

[0113] The specific process of the historical analysis is as follows:

[0114] Extract the historical user information of the product, analyze the historical user information, and obtain the maximum number of historical users, the maximum number of historical active users, and the current number of active users;

[0115] The historical maximum number of users, the historical maximum number of active users, and the current number of active users are processed to obtain a first evaluation parameter and a second evaluation parameter;

[0116] When the first evaluation parameter is abnormal, activity enhancement is selected for marketing purposes;

[0117] When the second evaluation parameter is abnormal, developing new customers is selected as the marketing purpose;

[0118] When both the first evaluation parameter and the second evaluation parameter are abnormal, the second evaluation parameter shall prevail.

[0119] The acquisition process of the first evaluation parameter and the second evaluation parameter and the abnormality determination process are as follows:

[0120] Extract the maximum number of historical users collected and the current number of active users, calculate the ratio of the current number of active users to the maximum number of historical users, and obtain the active ratio, that is, the first evaluation parameter. When the first evaluation parameter is less than a preset value, it indicates that there is an abnormality;

[0121] Then collect and calculate the difference between the historical maximum number of active users and the current number of active users to obtain the second evaluation parameter. When the historical maximum number of users is greater than the preset value and the second evaluation parameter is less than the preset value, it means that the second evaluation parameter is abnormal.

[0122] Through detailed analysis of the historical maximum number of users, the historical maximum number of active users, and the current number of active users, the above process enables enterprises to more accurately understand the changes in user groups and the current status of user activity, which helps enterprises formulate more precise marketing strategies to improve user activity or expand new customers in a targeted manner.

[0123] By dynamically monitoring and analyzing user data, enterprises can promptly discover changes in market trends and user behavior. When the first evaluation parameter or the second evaluation parameter is abnormal, the enterprise can respond quickly and adjust marketing objectives and strategies to adapt to the new market environment.

[0124] With limited resources, companies need to allocate resources reasonably according to marketing objectives. The above process helps companies better understand which areas require more investment by evaluating user activity and market potential, thereby optimizing resource allocation and improving the efficiency and effectiveness of marketing activities.

[0125] By focusing on user activity and new user development, companies can better meet user needs and improve user experience. At the same time, these targeted marketing activities also help enhance user awareness and loyalty to the brand and promote the establishment of long-term cooperative relationships.

[0126] When the first or second evaluation parameter is abnormal, the enterprise can not only adjust the marketing purpose in time, but also formulate risk warning and response measures through in-depth analysis of the abnormal reasons. This helps the enterprise maintain a steady development trend in the market fluctuations.

[0127] By accurately setting marketing goals and formulating effective marketing strategies, companies can better attract and retain users and promote business growth. Whether it is to increase user activity or to expand new customers, it will help companies expand their market share and enhance brand competitiveness.

[0128] The specific process of obtaining user preference information is as follows:

[0129] Send a questionnaire about the product held by historical users to investigate whether they are willing to participate in the subsequent activities of the product. The number of users who responded that they are willing to participate in the questionnaire is marked as a1, the number of users who responded that they are not willing to participate in the questionnaire is marked as a2, the number of users who did not respond to the questionnaire is marked as a3, and the number of questionnaires sent is marked as Q;

[0130] Calculate the ratio of a1 to Q to obtain a first evaluation ratio Qa1, calculate the ratio of a2 to Q to obtain a second evaluation ratio Qa2, calculate the ratio of a3 to Q to obtain a third evaluation ratio Qa3;

[0131] The comprehensive evaluation ratio Qq is obtained through the formula (Qa1+Qq2) / Qa3=Qq. When the comprehensive evaluation ratio Qq is greater than or equal to the preset value, the user tendency information is generated. At this time, the specific content of the user tendency information is that the user is likely to participate in the activity.

[0132] When the comprehensive evaluation ratio Qq is less than the preset value, user tendency information is generated. At this time, the specific content of the user tendency information is that the user is less likely to participate in the activity;

[0133] Through the above process, by calculating the ratio of the questionnaire response results to the total number of questionnaires sent, the company can obtain the quantified first evaluation ratio, second evaluation ratio and third evaluation ratio, and then calculate the comprehensive evaluation ratio. The quantitative processing makes the user's attitude towards the subsequent activities of the product more specific and measurable, providing the company with a more accurate decision-making basis.

[0134] The calculation of the comprehensive evaluation ratio takes into account different types of user responses, namely, willingness to participate, unwillingness to participate, and no response, thus more comprehensively reflecting the actual tendencies of users. When Qq is greater than or equal to the preset value, the generated user tendency information indicates that the user is likely to participate in the activity, which provides strong support for companies to formulate marketing strategies to encourage user participation; conversely, when Qq is less than the preset value, it reminds companies that they may need to adjust their strategies to attract more user participation.

[0135] Through questionnaire surveys and data analysis, companies can quickly obtain users' attitudes and opinions on subsequent product activities. This timely market feedback helps companies understand user needs and market changes, so that they can quickly adjust their marketing strategies to adapt to market demand.

[0136] According to different user preference information, companies can allocate marketing resources more specifically. For groups of users who are more likely to participate in activities, companies can increase investment and provide more discounts and rewards to further improve user participation and satisfaction; while for groups of users who are less likely to participate in activities, companies can analyze the reasons and develop more attractive strategies to stimulate their willingness to participate.

[0137] Based on accurate data analysis and user preference information, companies can formulate marketing strategies that are more in line with market demand. These strategies are not only more targeted, but also better meet user needs, thereby improving marketing effectiveness and user satisfaction.

[0138] Promote user loyalty: By actively responding to user feedback and developing marketing strategies that meet their needs, companies can enhance users' trust and loyalty to products and brands. This increase in loyalty helps companies maintain a stable user base and market share in a highly competitive market environment.

[0139] The specific process of formulating marketing activities based on marketing objectives and user tendency information is as follows:

[0140] Extract marketing objectives and user tendency information, import the marketing objectives and user tendency information into the preset activity model library, retrieve the three activity templates that best match the marketing objectives and user tendency information from the preset activity model library, edit the activity content of the three activity templates according to the product content, and then export them as marketing activities.

[0141] The specific process of evaluating the formulated marketing activities and obtaining the activity evaluation information is as follows:

[0142] Extract the three marketing activities obtained, conduct trial delivery of the three marketing activities, and push the three marketing activities to the same number of users respectively;

[0143] Then, the information related to participation in the three marketing activities is extracted, including the number of people who participated in the activities and the number of people who clicked to enter the activity page;

[0144] The number of people participating in the activity and the number of people who clicked to enter the activity page are processed to calculate the ratio U1 of the number of people participating in the activity to the total number of people pushed, and then the ratio U2 of the number of people entering the activity page to the total number of people pushed, and a weight value M1 is assigned to U1, and a weight value M2 is assigned to U2, M1+M2=1, M1>M2, and the activity evaluation information Uu is obtained through the formula U1*M1+U2*M2=Uu;

[0145] The process of selecting a marketing activity based on the activity evaluation information is as follows: the marketing activity corresponding to the maximum value of the activity evaluation information Uu is selected as the marketing activity finally selected;

[0146] By extracting marketing objectives and user tendency information and matching them with templates in the preset activity model library, enterprises can develop marketing activities that are highly consistent with the current market environment and user needs. The precise matching and personalized customization methods not only improve the pertinence and effectiveness of marketing activities, but also enhance user participation and satisfaction.

[0147] Conduct trial launches of the planned marketing activities, collect relevant information about participation, and calculate the activity evaluation information Uu through scientific data processing and weight allocation. This data-based evaluation method enables enterprises to objectively evaluate the effectiveness of marketing activities and provides strong support for subsequent decision-making.

[0148] By selecting marketing activities based on activity evaluation information, companies can select the marketing activities with the best results and the highest user participation for formal promotion. This optimized selection method helps companies avoid wasting resources and invest limited resources in areas that are most likely to generate benefits, thereby improving the overall effect of marketing activities and the input-output ratio.

[0149] Enterprises can adjust marketing objectives and activity strategies in a timely manner according to market feedback and changes in user behavior to adapt to the ever-changing market environment. This flexibility helps enterprises maintain their competitive advantage in a highly competitive market. By formulating marketing activities that meet user needs and preferences and continuously optimizing and adjusting activity strategies, enterprises can improve user experience and satisfaction. This active user interaction and feedback mechanism helps to enhance user trust and loyalty to products and brands and promote the establishment of long-term cooperative relationships.

[0150] The process of conducting a delivery test and obtaining delivery test information is as follows:

[0151] After launching the marketing campaign, monitor it in real time to monitor the number of clicks into each marketing area in the marketing campaign interface, the number of participants in each marketing area, and the number of new users added;

[0152] The number of clicks into each marketing area is marked as Gi, the number of participants in each marketing area activity is marked as Yi, and the number of new users increased is P;

[0153] When the number of regions in Gi that is greater than a preset value and the number of regions in Yi that is greater than a preset value exceed the preset value, and the number of new users P that increases is greater than a preset value b1, the test pass information is generated;

[0154] When the number of new users P increases to a value greater than the preset value b2, a test pass message is generated regardless of the values ​​of Gi and Pi;

[0155] Except for the above process, all other processes will generate test failure information;

[0156] b1<b2;

[0157] By monitoring marketing activities in real time, enterprises can quickly obtain user behavior data in each marketing area, including the number of clicks, the number of participants, and the number of new users. This instant feedback mechanism enables enterprises to adjust marketing strategies in a timely manner, optimize the effectiveness of activities, and improve user participation and conversion rates. The process not only focuses on the key indicator of the number of new users, but also considers the changes in the number of clicks and the number of participants in the marketing area. This multi-dimensional evaluation method can more comprehensively reflect the effectiveness of marketing activities and help enterprises more accurately judge the success of activities. By setting preset values ​​(such as the number of preset values, preset values ​​b1 and b2), enterprises can flexibly adjust the evaluation criteria according to their own needs and goals. This flexibility makes the testing process more in line with the actual situation of the enterprise and improves the accuracy and effectiveness of the evaluation. By generating test failure information, enterprises can identify problems and deficiencies in marketing activities and then carry out targeted optimization and iteration. This continuous optimization and iteration process helps enterprises continuously improve the effectiveness of marketing activities and user satisfaction. Through the launch test process, enterprises can conduct small-scale tests on marketing activities before formal promotion, evaluate their effectiveness and identify potential problems. This method helps enterprises reduce the risks and cost losses that may be caused by direct large-scale promotion.

[0158] Monitor marketing activities in real time. When there are abnormalities, optimize the activities in real time. The specific process is as follows:

[0159] Collect the number of holders of marketing products and the activity rate of products before the marketing campaign is launched;

[0160] Then extract the number of holders of marketing products and the activity rate of products after the marketing campaign is launched;

[0161] Calculate the difference between the number of marketing product holders after the marketing campaign is launched and the number of marketing product holders before the marketing campaign is launched, and obtain the personnel evaluation difference;

[0162] Then calculate the difference between the activity rate of the product after the marketing campaign is launched and the activity rate of the product before the marketing campaign is launched to obtain the activity rate difference;

[0163] When either the personnel evaluation difference or the activity rate difference is less than the preset value, real-time activity optimization is generated;

[0164] Then collect the ratio of the area of ​​each marketing area of ​​the marketing activity to the area of ​​the total marketing page to obtain the page share;

[0165] When the number of clicks into any marketing area is less than the preset value, and the page share of the marketing area is greater than the preset value, it indicates an abnormality, and real-time activity optimization is generated;

[0166] After the activity optimization information is generated, the display area of ​​the display device is collected, and the display area is marked as Z. When Z is greater than or equal to the preset value m, the first optimization method is selected, and when Z is less than the preset value m, the second optimization method is selected;

[0167] The specific optimization process of the first optimization method is as follows: collect the three corresponding marketing areas with the highest participation score G in the current marketing area as the push area, and then reset the marketing area area, and adjust the area corresponding to the marketing activities with the participation score Gmax in the marketing area to 1 / 3 of the area of ​​the total marketing page;

[0168] Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 4 of the area of ​​the total marketing page;

[0169] Adjust the area corresponding to the marketing activities with a score of Gmax-2 in the marketing area to 1 / 5 of the area of ​​the total marketing page;

[0170] When the area corresponding to the Gmax marketing campaign, the area corresponding to the Gmax-1 marketing campaign, and the area corresponding to the Gmax-2 marketing campaign have been displayed for a preset time, the three corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas;

[0171] Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax;

[0172] Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1;

[0173] Replace the marketing area of ​​Gmax-2 with the marketing area of ​​Gmin-2;

[0174] After the marketing area is replaced, the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are collected. When the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are still less than the preset value, the three corresponding marketing areas with the largest current participation scores G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activities to replace the marketing areas corresponding to Gmin, Gmin-1 and Gmin-2;

[0175] The specific optimization process of the second optimization method is as follows: collect the two corresponding marketing areas with the highest participation score G in the current marketing area as the push area, and then reset the marketing area area, and adjust the area corresponding to the marketing activity with the participation score Gmax in the marketing area to 1 / 2 of the area of ​​the total marketing page;

[0176] Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 3 of the area of ​​the total marketing page;

[0177] When the area corresponding to the Gmax marketing campaign and the area corresponding to the Gmax-1 marketing campaign have been displayed for a preset time, the two corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas;

[0178] Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax;

[0179] Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1;

[0180] After the marketing area is replaced, the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is collected. When the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is still less than the preset value, the two corresponding marketing areas with the largest current participation score G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activity to replace the marketing areas corresponding to Gmin and Gmin-1;

[0181] The process of obtaining the participation score G is as follows: extract the number of participating users and the number of effective stays in the marketing area. The effective stay number is the number of users who click to enter the marketing area for more than a preset time;

[0182] The number of participating users is marked as H1, and the number of effective stays is marked as H2;

[0183] Assign H1 a weight Y1, H2 a weight H2, H2+H1=1, H1>H2;

[0184] Through the formula H1*Y1+H2*Y2=Hh, the participation score G is obtained;

[0185] Through real-time monitoring, companies can quickly identify problems in marketing activities, such as a decrease in the number of holders, a drop in activity rates, or low click-through rates in certain marketing areas. This timely discovery and response mechanism helps companies quickly adjust their strategies and reduce potential losses. By calculating the difference and comparing it with the preset value, companies can accurately locate the problem, such as the poor performance of a certain marketing area or the insufficient improvement of the number of holders and activity rates by the overall activity. This precise positioning helps companies develop more targeted optimization plans. For marketing areas with low click-through rates but large page areas, companies can consider adjusting their layout or content to improve resource utilization efficiency. This optimization method helps companies make better use of limited marketing resources and achieve better results. Through real-time optimization, companies can ensure that marketing activities always meet user needs and preferences. This user-centric optimization method helps improve user experience and enhance user awareness and loyalty to the brand;

[0186] At the same time, the dynamic optimization settings can not only ensure that activities with high participation can guarantee traffic, but also push the popularity of other activities, and promptly discover whether there are inappropriate activities, and then make interactive replacements to ensure the benefits of the activities. Inappropriate activities are activities that have a low number of participants even if they occupy a key push position.

[0187] A simulation verification system for marketing activities, the system comprising:

[0188] The marketing objective setting module is used to clarify the objectives that marketing activities want to achieve, that is, marketing objective information;

[0189] Research module, used to conduct market research and collect research data;

[0190] The data processing module processes the collected survey data to obtain user tendency information;

[0191] The activity formulation module formulates marketing activities according to marketing objectives and user tendency information;

[0192] Activity evaluation module, which evaluates the formulated marketing activities and obtains activity evaluation information;

[0193] The delivery test module selects marketing activities based on activity evaluation information, conducts delivery tests, and obtains delivery test information;

[0194] Activity delivery module: when the delivery test information indicates that the delivery test has passed, the marketing activity that has been formulated will be delivered;

[0195] The activity monitoring module monitors the marketing activities in real time after they are launched, and optimizes the activities in real time when anomalies occur.

[0196] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A simulation verification method for marketing activities, characterized in that: The following steps are involved: Step 1: Set marketing objectives and clarify the purpose of the marketing activities, that is, marketing objective information; Step 2: Conduct market research and collect research data; Step 3: Process the collected survey data to obtain user preference information; Step 4: Formulate marketing activities based on marketing objectives and user preference information; Step 5: Evaluate the formulated marketing activities and obtain activity evaluation information; Step 6: Select a marketing campaign based on the campaign evaluation information, and then conduct a launch test to obtain the launch test information; Step 7: When the delivery test information indicates that the delivery test has passed, the marketing campaign that has been formulated will be delivered; Step 8: After the marketing campaign is launched, monitor the marketing campaign in real time and optimize the campaign in real time if there are any anomalies; The specific process of formulating marketing activities based on marketing objectives and user tendency information is as follows: Extract the marketing purpose and user tendency information, import the marketing purpose and user tendency information into the preset activity model library, retrieve the three activity templates with the best matching effect with the marketing purpose and user tendency information from the preset activity model library, edit the activity content of the three activity templates according to the product content, and then export them as marketing activities; The specific process of evaluating the formulated marketing activities and obtaining the activity evaluation information is as follows: Extract the three marketing activities obtained, conduct trial delivery of the three marketing activities, and push the three marketing activities to the same number of users respectively; Then, the information related to participation in the three marketing activities is extracted, including the number of people who participated in the activities and the number of people who clicked to enter the activity page; The number of people participating in the activity and the number of people who clicked to enter the activity page are processed to calculate the ratio U1 of the number of people participating in the activity to the total number of people pushed, and then the ratio U2 of the number of people entering the activity page to the total number of people pushed, and a weight value M1 is assigned to U1, and a weight value M2 is assigned to U2, M1+M2=1, M1>M2, and the activity evaluation information Uu is obtained through the formula U1*M1+U2*M2=Uu; The process of selecting a marketing activity according to the activity evaluation information is as follows: selecting the marketing activity corresponding to the maximum value of the activity evaluation information Uu as the marketing activity finally selected; The process of performing the delivery test and obtaining the delivery test information is as follows: After launching the marketing campaign, monitor it in real time to monitor the number of clicks into each marketing area in the marketing campaign interface, the number of participants in each marketing area, and the number of new users added; The number of clicks into each marketing area is marked as Gi, the number of participants in each marketing area activity is marked as Yi, and the number of new users increased is P; When the number of regions in Gi that is greater than a preset value and the number of regions in Yi that is greater than a preset value exceed the preset value, and the number of new users P that increases is greater than a preset value b1, the test pass information is generated; When the number of new users P increases to a value greater than the preset value b2, a test pass message is generated regardless of the values ​​of Gi and Pi; Except for the above process, all other processes will generate test failure information; The specific process of real-time monitoring of marketing activities and real-time activity optimization when anomalies occur is as follows: Collect the number of holders of marketing products and the activity rate of products before the marketing campaign is launched; Then extract the number of holders of marketing products and the activity rate of products after the marketing campaign is launched; Calculate the difference between the number of marketing product holders after the marketing campaign is launched and the number of marketing product holders before the marketing campaign is launched, and obtain the personnel evaluation difference; Then calculate the difference between the activity rate of the product after the marketing campaign is launched and the activity rate of the product before the marketing campaign is launched to obtain the activity rate difference; When either the personnel evaluation difference or the activity rate difference is less than the preset value, real-time activity optimization is generated; Then collect the ratio of the area of ​​each marketing area of ​​the marketing activity to the area of ​​the total marketing page to obtain the page share; When the number of clicks into any marketing area is less than the preset value, and the page share of the marketing area is greater than the preset value, it indicates an abnormality, and real-time activity optimization is generated; After the activity optimization information is generated, the display area of ​​the display device is collected, and the display area is marked as Z. When Z is greater than or equal to the preset value m, the first optimization method is selected, and when Z is less than the preset value m, the second optimization method is selected; The specific optimization process of the first optimization method is as follows: collect the three corresponding marketing areas with the highest participation score G in the current marketing area as the push area, and then reset the marketing area area, and adjust the area corresponding to the marketing activity with the participation score Gmax in the marketing area to 1 / 3 of the area of ​​the total marketing page; Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 4 of the area of ​​the total marketing page; Adjust the area corresponding to the marketing activities with a score of Gmax-2 in the marketing area to 1 / 5 of the area of ​​the total marketing page; When the area corresponding to the Gmax marketing campaign, the area corresponding to the Gmax-1 marketing campaign, and the area corresponding to the Gmax-2 marketing campaign have been displayed for a preset time, the three corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas; Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax; Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1; Replace the marketing area of ​​Gmax-2 with the marketing area of ​​Gmin-2; After the marketing area is replaced, the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are collected. When the participation scores G of the marketing areas of Gmin, Gmin-1 and Gmin-2 are still less than the preset value, the three corresponding marketing areas with the largest current participation scores G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activities to replace the marketing areas corresponding to Gmin, Gmin-1 and Gmin-2; The specific optimization process of the second optimization method is as follows: collect the two corresponding marketing areas with the highest participation score G in the current marketing area as push areas, and then reset the marketing area area, and adjust the area corresponding to the marketing activity with the participation score Gmax in the marketing area to 1 / 2 of the area of ​​the total marketing page; Adjust the area corresponding to the marketing activities with a participation score of Gmax-1 in the marketing area to 1 / 3 of the area of ​​the total marketing page; When the area corresponding to the Gmax marketing campaign and the area corresponding to the Gmax-1 marketing campaign have been displayed for a preset time, the two corresponding marketing areas with the smallest participation score G in the current marketing area are selected as push areas; Replace the marketing area of ​​Gmin with the marketing area of ​​Gmax; Replace the marketing area of ​​Gmax-1 with the marketing area of ​​Gmin-1; After the marketing area is replaced, the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is collected. When the participation score G of the marketing area of ​​Gmin and the marketing area of ​​Gmin-1 is still less than the preset value, the two corresponding marketing areas with the largest current participation score G are replaced back to the push area, and activity reorganization information is generated simultaneously to integrate the new activity to replace the marketing areas corresponding to Gmin and Gmin-1; The process of obtaining the participation score G is as follows: extract the number of participating users and the number of effective stays in the marketing area. The effective stay number is the number of users who click to enter the marketing area for more than a preset time; The number of participating users is marked as H1, and the number of effective stays is marked as H2; Assign a weight Y1 to H1 and a weight Y2 to H2, H2+H1=1, H1>H2; The participation score G can be obtained through the formula H1*Y1+H2*Y2=Hh.

2. The simulation verification method for marketing activities according to claim 1, characterized in that: The marketing purpose acquisition process includes manual setting and historical analysis; Manual setting, that is, the enterprise sets the purpose of the marketing activity according to actual needs; Historical analysis means that the company analyzes the historical user information of the product, obtains historical analysis information, and determines the final marketing activity objectives based on the historical analysis information. The marketing activity objectives include increasing activity and expanding new customers.

3. The simulation verification method of a marketing activity according to claim 2, characterized in that: The specific process of the historical analysis is as follows: Extract the historical user information of the product, analyze the historical user information, and obtain the maximum number of historical users, the maximum number of historical active users, and the current number of active users; The historical maximum number of users, the historical maximum number of active users, and the current number of active users are processed to obtain a first evaluation parameter and a second evaluation parameter; When the first evaluation parameter is abnormal, activity enhancement is selected for marketing purposes; When the second evaluation parameter is abnormal, developing new customers is selected as the marketing purpose; When both the first evaluation parameter and the second evaluation parameter are abnormal, the second evaluation parameter shall prevail.

4. The simulation verification method for marketing activities according to claim 3, characterized in that: The acquisition process of the first evaluation parameter and the second evaluation parameter and the abnormality determination process are as follows: Extract the maximum number of historical users collected and the current number of active users, calculate the ratio of the current number of active users to the maximum number of historical users, and obtain the active ratio, that is, the first evaluation parameter. When the first evaluation parameter is less than a preset value, it indicates that there is an abnormality; Then collect and calculate the difference between the historical maximum number of active users and the current number of active users to obtain the second evaluation parameter. When the historical maximum number of users is greater than the preset value and the second evaluation parameter is less than the preset value, it means that the second evaluation parameter is abnormal.

5. The simulation verification method for marketing activities according to claim 1, characterized in that: The specific process of obtaining the user tendency information is as follows: Send a questionnaire about the product held by historical users to investigate whether they are willing to participate in the subsequent activities of the product. The number of users who responded that they are willing to participate in the questionnaire is marked as a1, the number of users who responded that they are not willing to participate in the questionnaire is marked as a2, the number of users who did not respond to the questionnaire is marked as a3, and the number of questionnaires sent is marked as Q; Calculate the ratio of a1 to Q to obtain a first evaluation ratio Qa1, calculate the ratio of a2 to Q to obtain a second evaluation ratio Qa2, calculate the ratio of a3 to Q to obtain a third evaluation ratio Qa3; The comprehensive evaluation ratio Qq is obtained through the formula (Qa1+Qq2) / Qa3=Qq. When the comprehensive evaluation ratio Qq is greater than or equal to the preset value, the user tendency information is generated. At this time, the specific content of the user tendency information is that the user is likely to participate in the activity. When the comprehensive evaluation ratio Qq is less than the preset value, user tendency information is generated. At this time, the specific content of the user tendency information is that the possibility of the user participating in the activity is low.

6. A simulation verification system for marketing activities, the system being based on the method according to any one of claims 1 to 5, characterized in that: The system comprises: The marketing objective setting module is used to clarify the objectives that marketing activities want to achieve, that is, marketing objective information; Research module, used to conduct market research and collect research data; The data processing module processes the collected survey data to obtain user tendency information; The activity formulation module formulates marketing activities according to marketing objectives and user tendency information; Activity evaluation module, which evaluates the formulated marketing activities and obtains activity evaluation information; The delivery test module selects marketing activities based on activity evaluation information, conducts delivery tests, and obtains delivery test information; Activity delivery module: when the delivery test information indicates that the delivery test has passed, the marketing activity that has been formulated will be delivered; The activity monitoring module monitors the marketing activities in real time after they are launched, and optimizes the activities in real time when anomalies occur.

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