An intelligent marketing management method and system based on AI artificial intelligence

Abstract

The present invention discloses a smart marketing management method and system based on AI artificial intelligence. The smart marketing management system includes a data collection and preprocessing module, a market dynamics prediction module, a competitive product analysis module, an advertising strategy generation module, and a strategy execution and feedback module. The smart marketing management system collects relevant data on marketing advertisements in the market, collects market dynamics data, monitors and updates the advertising strategies and market performance of competitive products in real time, and automatically adjusts advertising delivery strategies through AI artificial intelligence technology based on competitive product analysis results and real-time advertising effect data. Through the introduction of AI technology, market and competitive product data can be analyzed in real time, advertising strategies can be automatically adjusted, advertising content and delivery channels can be optimized, and advertising budgets and time frequencies can be dynamically adjusted. This system is not only highly intelligent and automated in advertising decision-making, but also achieves a reasonable allocation of marketing resources through multi-dimensional optimization strategies, significantly improving the overall effectiveness of advertising and the rate of return on investment.

Description

Technical Field

[0001] The present invention relates to the technical field related to smart marketing, and in particular to a smart marketing management method and system based on AI artificial intelligence. Background Art

[0002] In the field of smart marketing, as market competition intensifies, advertisers are increasingly demanding precise smart marketing. Existing marketing advertising capabilities often rely on static historical data (historical experience and market data), making it difficult to quickly adjust advertising strategies based on market dynamics. Multi-dimensional optimization capabilities are insufficient, lacking real-time response to competitive dynamics and comprehensive multi-dimensional optimization capabilities. This approach often leads to poor advertising effectiveness and a low return on investment. Furthermore, traditional advertising systems often focus on a single aspect, such as budget allocation or ad content selection, resulting in limited effectiveness in adjusting advertising strategies. Furthermore, due to a lack of real-time market competition analysis and dynamic adjustment capabilities, traditional advertising systems struggle to adapt to dynamic strategic changes from competitors and are unable to quickly respond to real-time market changes, resulting in missed marketing opportunities and a loss of competitive advantage. Therefore, improvements are needed. Summary of the Invention

[0003] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0004] Therefore, in order to solve the above technical problems, the present invention provides the following technical solution: an intelligent marketing management method based on AI artificial intelligence, comprising the following specific steps:

[0005] S1: Collect relevant data on marketing advertisements in the market, collect market dynamic data, and monitor and update the advertising strategies and market performance of competitors in real time;

[0006] S2: Based on competitor analysis results and real-time advertising performance data, AI technology is used to automatically adjust advertising strategies, including advertising content selection, advertising channel allocation, dynamic budget adjustment, and optimization of advertising time and frequency.

[0007] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, it uses web crawler technology and API interface to collect product-related advertising data on the market in real time, including information such as advertising content, delivery channels, delivery time, and audience positioning; the data sources of advertising data include social media platforms, search engine advertising, email advertising, etc.; market dynamic data includes external data such as market trends, consumer behavior, and hot events.

[0008] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, the advertising content selection strategy is based on a comprehensive analysis of the market popularity and advertising effectiveness of competing advertisements and is calculated using the following formula:

[0009]

[0010] in, : Market popularity of competitor advertising content; : The degree of innovation and differentiation of advertising content; : The applicability of current advertising content in the current market environment; : The responsiveness of competitor advertising to the market; 、 : Adjust the influence of market popularity and competitor response on the selection of advertising content;

[0011] Formula range: The range of this formula represents the strategic intensity of optimizing advertising content selection, with values ​​from lower to higher representing changes in content innovation and market fit.

[0012] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, the allocation strategy of advertising channels is based on the market potential, advertising effect and delivery saturation of each advertising channel, and is calculated by the following formula:

[0013]

[0014] In the above formula, : The proportion of advertising allocated to the kth channel at time t; : Market potential of the jth advertising channel; : Advertising effect of the j-th channel; : The channel's delivery saturation reflects the intensity of channel competition; 、 : To adjust the parameters, we can control the impact of the market potential and saturation of advertising channels on the advertising allocation strategy;

[0015] Formula range: The range of the formula is , which represents the allocation weight of each advertising channel.

[0016] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, the dynamic adjustment strategy of the budget is based on the feedback of competitor budgets and market performance. The specific calculation formula is as follows:

[0017]

[0018] : The advertising budget adjustment value at time t; : The proportion of budget allocated to competitor advertising, changing over time; : Market performance of competitor ads; : Feedback on the effectiveness of the current advertisement; : Sensitivity of market response to budget; 、 : Adjust parameters to control the impact of competitor market performance and market response on budget adjustments;

[0019] Formula value range: The formula value range represents the quantitative value of the budget adjustment, and the range is the adjustment range of the baseline budget.

[0020] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, the strategy for adjusting the frequency and timing of advertising is calculated by analyzing the timing of competitor advertising and market response. The specific calculation formula is as follows:

[0021]

[0022] In the above formula, The strategy for adjusting the timing and frequency of advertising varies with the frequency f; Competing product ads’ performance at frequency f; : Frequency factor to adjust the advertising delivery time; : The sensitivity of market response to the frequency of competitor advertising; : Normalization factor, used to ensure that the total delivery time and frequency are within a reasonable range; : Adjust the impact of competitor market response on frequency;

[0023] Formula value range: This formula value range represents the frequency of ad delivery within a certain time period. Higher values ​​indicate more frequent delivery.

[0024] As a preferred solution of the AI-based intelligent marketing management method described in the present invention, the current advertising strategy is analyzed to determine whether the advertising delivery strategy needs to be adjusted. The specific calculation formula is as follows:

[0025]

[0026] In the above formula: : Market potential of advertising channels; : The advertising effect of the channel; : Channel saturation, reflecting the intensity of competition; 、 : Weight parameter for adjusting the distribution ratio of market potential and channel saturation;

[0027] Formula value range: It is a decision function that measures whether the current advertising strategy needs to be adjusted. The larger the value, the less likely the current strategy needs to be adjusted.

[0028] As a preferred solution of the AI-based intelligent marketing management method of the present invention, wherein: is the adjustment threshold of the advertising strategy, then:

[0029] when If the effect of the current advertising strategy is in line with expectations, the existing strategy will be maintained without adjustment.

[0030] when When the current advertising strategy is not effective, it is necessary to adjust the strategy based on market feedback and generate a multi-objective optimized advertising strategy; among which the optimization goals include advertising content selection, advertising budget, advertising delivery channels, and advertising delivery frequency and time.

[0031] As a preferred solution of the AI-based intelligent marketing management method of the present invention, When optimizing advertising strategies, the following specific steps are involved:

[0032] S21: Optimize the selection strategy of advertising content: start the optimization function of advertising content, re-evaluate the advertising content based on market popularity, competitive advertising analysis, consumer preferences and other information; use the formula , reselect new advertising content combinations to make the ads more responsive to market demand and consumer behavior; content adjustments may include: changing advertising materials, highlighting specific product features, adjusting advertising copy, etc.;

[0033] S22: Dynamically adjust the proportion of advertising in each channel: Analyze the market potential and effectiveness of different advertising channels (for example: social media, search engines, video ads, etc.); , based on the advertising effect and saturation of each channel, reallocate advertising budgets, allocate more resources to channels with good results, and reduce resource investment in inefficient channels to ensure the maximum dissemination effect of advertising;

[0034] S23: Real-time adjustment of advertising budget: through formula Dynamically adjust advertising budgets based on competitor advertising budgets and market feedback. The system will re-evaluate budget allocation strategies and increase or decrease overall advertising spending. Budget allocation can be adjusted based on the market performance of different competitors. For example, if a competitor's advertising spends a large amount of money during a certain period, the advertising budget for that period can be increased accordingly to enhance market competitiveness.

[0035] S24: Analyze the launch time and market response of competing products, and dynamically adjust the frequency and time of advertising: The system analyzes the frequency of competitor ads and market response to determine the optimal time period and frequency for ad delivery. Based on the market response speed of competitor ads, the system adjusts the time and frequency of ad delivery. For example, if the market response is more positive during a certain time period, the system will increase ad delivery during this period.

[0036] S25: After the ad is launched, the system continuously monitors market feedback and collects relevant data (such as click-through rate, conversion rate, market share changes, etc.); based on market changes and competitive product dynamics, the system can automatically determine whether the advertising strategy needs to be adjusted again; the adjustment process continues to iterate until , and the advertising effect is stable.

[0037] The present invention also provides the above-mentioned AI-based smart marketing management system, which is characterized in that: the above-mentioned smart marketing management method is implemented based on the system, and the system includes a data collection and preprocessing module, a market dynamics prediction module, a competitor analysis module, an advertising strategy generation module and a strategy execution and feedback module; the multi-targeted optimal advertising delivery strategy generated in the advertising strategy generation module includes: determining the innovation and differentiation of its own advertising content through competitor advertising content analysis and market feedback; selecting and adjusting advertising delivery channels such as social media, television, outdoor advertising, etc. based on market data; dynamically adjusting the advertising budget according to market feedback and competitor budget changes to optimize the input-output ratio; optimizing the delivery time and frequency of advertising according to competitor delivery strategies and market reactions.

[0038] Beneficial effects of the present invention:

[0039] 1. The present invention uses AI technology to automatically monitor and adjust advertising strategies, thereby significantly improving the efficiency and accuracy of marketing decisions. Compared with traditional advertising methods that rely on manual analysis and adjustment, the present invention reduces delays and errors caused by human participation, and can respond quickly, especially in complex and changing market environments.

[0040] 2. By collecting the advertising strategies and market performance of competitors, the present invention can analyze the actions of competitors in real time and adjust its own advertising strategy accordingly, so that the adjustment of advertising strategy is no longer a passive reaction, but an active adjustment based on the market competition situation, reflecting the in-depth application of AI in advertising management. This real-time function effectively improves the competitiveness of advertising strategies and ensures that advertising delivery is always maintained in the optimal state.

[0041] 3. The present invention optimizes the advertising content, channels, budget, time, etc. in the advertising strategy of smart marketing in multiple dimensions, integrates these strategy variables through AI technology, and takes mathematical models and optimization algorithms as the core. Through the comprehensive calculation of these variables, specific data that determines whether the advertising delivery strategy should be adjusted is obtained. Compared with the technical defects of the existing technology that often only focuses on the optimization of a single dimension of advertising (such as budget allocation or time scheduling), the present invention breaks the limitations of the existing technology by comprehensively considering multi-dimensional factors, making the advertising strategy more comprehensive and efficient.

[0042] 4. The present invention can adjust elements such as advertising content and channels according to market changes, ensuring that advertising strategies can be flexibly adjusted as the market changes, thereby avoiding the market failure problem caused by fixed advertising strategies in the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0044] Figure 1 This is a workflow diagram of the smart marketing management method of the present invention.

[0045] Figure 2 This is the overall architecture diagram of the smart marketing management system of the present invention. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0048] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0049] Example 1

[0050] Reference Figures 1 and 2 , which is the first embodiment of the present invention, provides an AI-based intelligent marketing management system, which includes a data collection and preprocessing module, a market dynamics prediction module, a competitor analysis module, an advertising strategy generation module and a strategy execution and feedback module; the multi-targeted optimal advertising delivery strategy generated in the advertising strategy generation module includes: determining the innovation and differentiation of its own advertising content through competitor advertising content analysis and market feedback; selecting and adjusting advertising delivery channels such as social media, television, outdoor advertising, etc. based on market data; dynamically adjusting the advertising budget according to market feedback and changes in competitor budgets to optimize the input-output ratio; optimizing the delivery time and frequency of advertising according to competitor delivery strategies and market reactions.

[0051] The present invention also provides a smart marketing management method based on the above-mentioned smart marketing management system, comprising the following specific steps:

[0052] S1: Collect relevant data on marketing advertisements in the market, collect market dynamic data, and monitor and update the advertising strategies and market performance of competitors in real time;

[0053] Using web crawler technology and API interfaces, we collect real-time advertising data related to products on the market, including information such as advertising content, delivery channels, delivery time, and audience targeting. The data sources of advertising data include social media platforms, search engine advertising, and email advertising. Market dynamic data includes external data such as market trends, consumer behavior, and hot events.

[0054] S2: Based on competitive product analysis results and real-time advertising performance data, AI technology is used to automatically adjust advertising strategies, including advertising content selection, advertising channel allocation, dynamic budget adjustment, and optimization of advertising time and frequency;

[0055] The details are as follows:

[0056] The advertising content selection strategy is based on a comprehensive analysis of the market popularity and advertising effectiveness of competing products, and is calculated using the following formula:

[0057]

[0058] in, : Market popularity of competitor advertising content; : The degree of innovation and differentiation of advertising content; : The applicability of current advertising content in the current market environment; : The responsiveness of competitor advertising to the market; 、 : Adjust the influence of market popularity and competitor response on the selection of advertising content;

[0059] Formula Range: The range of this formula represents the strategic strength of optimizing ad content selection, with values ​​moving from lower to higher representing changes in content innovation and market fit.

[0060] The advertising channel allocation strategy is based on the market potential, advertising effectiveness, and saturation of each advertising channel, and is calculated using the following formula:

[0061]

[0062] In the above formula, : The proportion of advertising allocated to the kth channel at time t; : Market potential of the jth advertising channel; : Advertising effect of the jth channel; : The channel's delivery saturation reflects the intensity of channel competition; 、 : To adjust the parameters, we can control the impact of the market potential and saturation of advertising channels on the advertising allocation strategy;

[0063] Formula range: The range of the formula is , which represents the allocation weight of each advertising channel.

[0064] The dynamic budget adjustment strategy is based on feedback from competitor budgets and market performance. The specific calculation formula is as follows:

[0065]

[0066] : The advertising budget adjustment value at time t; : The proportion of budget allocated to competitor advertising, changing over time; : Market performance of competitor ads; : Feedback on the effectiveness of the current advertisement; : Sensitivity of market response to budget; 、 : Adjust parameters to control the impact of competitor market performance and market response on budget adjustments;

[0067] Formula value range: This formula value range represents the quantitative value of the budget adjustment, and the range is the adjustment range of the baseline budget;

[0068] The strategy for adjusting the frequency and timing of advertising is based on an analysis of competitor advertising timing and market response. The specific calculation formula is as follows:

[0069]

[0070] In the above formula, The strategy for adjusting the timing and frequency of advertising varies with the frequency f; Competing product ads’ performance at frequency f; : Frequency factor to adjust the advertising delivery time; : The sensitivity of market response to the frequency of competitor advertising; : Normalization factor, used to ensure that the total delivery time and frequency are within a reasonable range; : Adjust the impact of competitor market response on frequency;

[0071] Formula value range: This formula value range represents the frequency of ad delivery within a certain time period. A higher value indicates a more frequent delivery.

[0072] Analyze the current advertising strategy to determine whether it is necessary to adjust the advertising strategy. The specific calculation formula is as follows:

[0073]

[0074] In the above formula: : Market potential of advertising channels; : The advertising effect of the channel; : Channel saturation, reflecting the intensity of competition; 、 : Weight parameter for adjusting the distribution ratio of market potential and channel saturation;

[0075] Formula value range: is a decision function that measures whether the current advertising strategy needs to be adjusted. The larger the value, the less likely the current strategy needs to be adjusted.

[0076] set up is the adjustment threshold of the advertising strategy, then:

[0077] when If the effect of the current advertising strategy is in line with expectations, the existing strategy will be maintained without adjustment.

[0078] when When the current advertising strategy is not effective, it is necessary to adjust the strategy based on market feedback and generate a multi-objective optimized advertising strategy. The optimization targets include the selection of advertising content, advertising budget, advertising channels, and advertising frequency and time. The optimization method of advertising strategy includes the following specific steps:

[0079] S21: Optimize the selection strategy of advertising content: start the optimization function of advertising content, re-evaluate the advertising content based on market popularity, competitive advertising analysis, consumer preferences and other information; use the formula , reselect new advertising content combinations to make the ads more responsive to market demand and consumer behavior; content adjustments may include: changing advertising materials, highlighting specific product features, adjusting advertising copy, etc.;

[0080] S22: Dynamically adjust the proportion of advertising in each channel: Analyze the market potential and effectiveness of different advertising channels (for example: social media, search engines, video ads, etc.); , based on the advertising effect and saturation of each channel, reallocate advertising budgets, allocate more resources to channels with good results, and reduce resource investment in inefficient channels to ensure the maximum dissemination effect of advertising;

[0081] S23: Real-time adjustment of advertising budget: through formula Dynamically adjust advertising budgets based on competitor advertising budgets and market feedback. The system will re-evaluate budget allocation strategies and increase or decrease overall advertising spending. Budget allocation can be adjusted based on the market performance of different competitors. For example, if a competitor's advertising spends a large amount of money during a certain period, the advertising budget for that period can be increased accordingly to enhance market competitiveness.

[0082] S24: Analyze the launch time and market response of competing products, and dynamically adjust the frequency and time of advertising: The system analyzes the frequency of competitor ads and market response to determine the optimal time period and frequency for ad delivery. Based on the market response speed of competitor ads, the system adjusts the time and frequency of ad delivery. For example, if the market response is more positive during a certain time period, the system will increase ad delivery during this period.

[0083] S25: After the ad is launched, the system continuously monitors market feedback and collects relevant data (such as click-through rate, conversion rate, market share changes, etc.); based on market changes and competitive product dynamics, the system can automatically determine whether the ad strategy needs to be adjusted again. The adjustment process continues iteratively until , and the advertising effect is stable.

[0084] Specific application examples of the above-mentioned smart marketing management system and method are as follows:

[0085] An online retail platform launched a new product and began advertising it across multiple channels (e.g., Facebook ads, Google search ads, YouTube video ads, etc.);

[0086] The system sets the initial threshold =0.7, based on the average click-through rate and conversion rate of past advertising campaigns;

[0087] Real-time monitoring and advertising content optimization:

[0088] After the ad went online, the system monitored market data through AI algorithms and found that the click-through rate and conversion rate of YouTube ads gradually decreased, resulting in , below the threshold ;

[0089] The system automatically triggered the advertising content optimization process, re-analyzed consumer preferences, and found that the product display time in the short video advertisement was too long, which reduced consumer interest; therefore, the advertising content was adjusted to a shorter and more attractive product demonstration video.

[0090] Channel allocation adjustments:

[0091] By analyzing the advertising effects of different channels, the system found that the click-through rate and conversion rate of Facebook ads were significantly higher than those of other channels ( ), so we decided to increase our budget for Facebook and reduce our spending on Google search ads;

[0092] According to the formula After calculation, the channel allocation was adjusted as follows: the budget proportion of Facebook advertising was increased by 20% to ensure that resources were concentrated on efficient channels.

[0093] Dynamic budget adjustment:

[0094] While monitoring competing products, the system detected that a major competitor increased its advertising budget during a specific time period. To maintain market competitiveness, the system decided to increase its advertising budget during that time period to ensure it kept pace with the competition.

[0095] According to the formula After calculation, the advertising budget strategy was adjusted to: increase the overall budget by 10%.

[0096] Adjustments to advertising frequency and timing:

[0097] By analyzing the market response and the launch time of competing products, the system found that the best advertising effect is achieved between 21:00 and 23:00 in the evening. According to the formula Calculation helps the system find the best combination of advertising frequency and time to ensure the best exposure effect of advertising. The specific adjustment strategy of this embodiment is to increase the advertising frequency during this period and reduce advertising investment during inefficient periods (such as mornings).

[0098] Final result:

[0099] The effect of the adjusted advertising strategy has been significantly improved. The system monitors the value of , exceeding the threshold , the advertising strategy enters a stable period, and the system continuously monitors market performance to ensure continuous optimization of advertising effects.

[0100] This invention leverages AI technology to analyze market and competitive product data in real time, automatically adjusting advertising strategies, optimizing ad content and delivery channels, and dynamically adjusting ad budgets and frequency, thereby improving advertising effectiveness and return on investment. This invention not only incorporates a high degree of intelligence and automation in advertising decision-making, but also achieves the rational allocation of marketing resources through multi-dimensional optimization strategies, significantly improving the overall effectiveness of advertising.

[0101] Example 2

[0102] This is the second embodiment of the present invention. This embodiment differs from the first embodiment in that, in order to verify its beneficial effects, experimental comparison data between the present invention and the prior art are provided.

[0103] This embodiment simulates the advertising strategies and market performance data of two existing competing products on the market. The data of Competitor A and Competitor B covers the marketing activities of the past 6 months, including the frequency of advertising, content selection, delivery channels, budget and their corresponding market performance (such as exposure rate, click-through rate, conversion rate, etc.); in addition, through market research and analysis tools, market dynamics data on the simulated market is collected to monitor changes in competitors' advertising strategies and fluctuations in market performance in real time.

[0104] Using an AI-based intelligent marketing management system, the system integrates a market data monitoring module, a competitive product strategy analysis module, and an advertising strategy dynamic adjustment module. Based on the collected real-time advertising effect data, the system automatically adjusts the advertising content selection, the proportion of advertising channels, dynamically adjusts the advertising budget, and optimizes the advertising delivery time and frequency to calculate the optimal combination of advertising strategies.

[0105] The relevant information of the advertising strategy generated according to the above steps is compared with the advertising strategy generated by the prior art, as shown in the following table.

[0106]

[0107] Based on the data in the table above, the present invention significantly outperforms existing technologies in optimizing advertising strategies. Comparing the data for Competitor A and Competitor B reveals that the present invention significantly improves both exposure and conversion rates. For example, in June, the present invention achieved an exposure rate of 70%, while Competitor A achieved only 55% and Competitor B achieved 50%. This demonstrates that the present invention can effectively improve ad exposure through intelligent and dynamic adjustment of advertising strategies.

[0108] The present invention also offers advantages in budget optimization and the adjustment of advertising time and frequency. For example, as advertising effectiveness gradually improved, the advertising budget was rationally allocated and utilized. As the budget increased from 1 million to 1.25 million, the conversion rate increased from 2.5% to 4.0%, significantly improving the input-output ratio. In contrast, competing products did not show such a significant improvement in budget investment and effectiveness.

[0109] Through the AI ​​intelligent advertising management system of the present invention, it is possible to respond to market changes and dynamically adjust competing product strategies in real time, thereby optimizing the overall performance of advertising.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent marketing management method based on AI, characterized by: The following specific steps are included: S1: Collect relevant data on marketing advertisements in the market, collect market dynamic data, and monitor and update the advertising strategies and market performance of competitors in real time; S2: Based on competitive product analysis results and real-time advertising performance data, AI technology is used to automatically adjust advertising strategies, including advertising content selection, advertising channel allocation, dynamic budget adjustment, and optimization of advertising time and frequency; Analyze the current advertising strategy to determine whether it is necessary to adjust the advertising strategy. The specific calculation formula is as follows: In the above formula: : The advertising effect of the channel; : Channel saturation, reflecting the intensity of competition; : The adaptability of advertising content under different market conditions affects the creativity and expression of advertising; : Market popularity of competitor advertising content; : The degree of innovation and differentiation of advertising content; : The applicability of current advertising content in the current market environment; : The responsiveness of competitor advertising to the market; 、 : Adjust the influence of market popularity and competitor response on the selection of advertising content; : The proportion of advertising allocated to the kth channel at time t; : Market potential of the jth advertising channel; : Advertising effect of the jth channel; 、 : To adjust the parameters, we can control the impact of the market potential and saturation of advertising channels on the advertising allocation strategy; : The advertising budget adjustment value at time t; : The strategy for adjusting the advertising time and frequency changes with the frequency f; M: The total number of currently cooperating advertising channels, which is updated dynamically based on the contracted platforms; N: The number of competing products monitored by the system, preset through the enterprise database; T: The strategy evaluation period, the default value is 24 hours; Formula value range: is a decision function that measures whether the current advertising strategy needs to be adjusted. The larger the value, the less likely the current strategy needs to be adjusted. set up is the adjustment threshold of the advertising strategy, then: when If the effect of the current advertising strategy is in line with expectations, the existing strategy will be maintained without adjustment. when When the current advertising strategy is not effective, it is necessary to adjust the strategy based on market feedback and generate a multi-objective optimized advertising strategy; among which the optimization goals include advertising content selection, advertising budget, advertising delivery channels, and advertising delivery frequency and time.

2. The AI-based intelligent marketing management method according to claim 1, characterized in that: Using web crawler technology and API interfaces, we collect real-time advertising data related to products on the market, including advertising content, delivery channels, delivery time, and audience targeting information; the data sources of advertising data include social media platforms, search engine advertising, and email advertising; market dynamics data includes external data such as market trends, consumer behavior, and hot events.

3. The AI-based intelligent marketing management method according to claim 2, characterized in that: The advertising content selection strategy is based on a comprehensive analysis of the market popularity and advertising effectiveness of competing products, and is calculated using the following formula: Formula range: The range of this formula represents the strategic intensity of optimizing advertising content selection, with values ​​from lower to higher representing changes in content innovation and market fit.

4. The AI-based intelligent marketing management method according to claim 3, characterized in that: The advertising channel allocation strategy is based on the market potential, advertising effectiveness, and saturation of each advertising channel, and is calculated using the following formula: Formula range: The range of the formula is , which represents the allocation weight of each advertising channel.

5. The AI-based intelligent marketing management method according to claim 4, characterized in that: The dynamic budget adjustment strategy is based on feedback from competitor budgets and market performance. The specific calculation formula is as follows: : The proportion of budget allocated to competitor advertising, changing over time; : Market performance of competitor ads; : Feedback on the effectiveness of the current advertisement; : Sensitivity of market response to budget; 、 : Adjust parameters to control the impact of competitor market performance and market response on budget adjustments; Formula value range: The formula value range represents the quantitative value of the budget adjustment, and the range is the adjustment range of the baseline budget.

6. The AI-based intelligent marketing management method according to claim 5, characterized in that: The strategy for adjusting the frequency and timing of advertising is based on an analysis of competitor advertising timing and market response. The specific calculation formula is as follows: In the above formula, Competing product ads’ performance at frequency f; : Frequency factor to adjust the advertising delivery time; : The sensitivity of market response to the frequency of competitor advertising; : Normalization factor, used to ensure that the total delivery time and frequency are within a reasonable range; : Adjust the impact of competitor market response on frequency; Formula value range: This formula value range represents the frequency of ad delivery within a certain time period. Higher values ​​indicate more frequent delivery.

7. The AI-based intelligent marketing management method according to claim 6, characterized in that: when When optimizing advertising strategies, the following specific steps are involved: S21: Optimize the selection strategy of advertising content: start the optimization function of advertising content, re-evaluate the advertising content according to market popularity, competitive advertising analysis, and consumer preference information; use the formula , reselect new advertising content combinations to make advertising better respond to market demand and consumer behavior; S22: Dynamically adjust the proportion of advertising in each channel: Analyze the market potential and effect of different advertising channels; , based on the advertising effect and saturation of each channel, reallocate advertising budgets, allocate more resources to channels with good results, and reduce resource investment in inefficient channels to ensure the maximum dissemination effect of advertising; S23: Real-time adjustment of advertising budget: through formula , dynamically adjust advertising budgets based on competitor advertising budgets and market feedback; the system re-evaluates budget allocation strategies and increases or decreases overall advertising spending; S24: Analyze the launch time and market response of competing products, and dynamically adjust the frequency and time of advertising: The system analyzes the frequency of competitor ads and market response to determine the optimal time period and frequency for ad delivery. Based on the market response speed of competitor ads, the system adjusts the time and frequency of ad delivery. S25: After the ad is launched, the system continuously monitors market feedback and collects relevant data. Based on market changes and competitor trends, the system automatically determines whether the ad strategy needs to be adjusted again. The adjustment process continues iteratively until , and the advertising effect is stable.

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