Footwear is an indispensable consumer product in people's daily life, and it is also an important element to show personality and style. With the development of society and the improvement of consumption level, the footwear market is showing a trend of diversification and personalization, and the needs and preferences of consumers are increasingly diversified and subdivided. As an important part of the footwear market, the purchase behavior of female consumers has received more and more attention and research.

The purchase behavior of women's shoes consumers is a complex psychological and behavioral process, which is affected by a variety of internal and external factors. How to understand and grasp the buying habits of women's shoes consumers is the key to the success of footwear brands and enterprises to open up the market and enhance their competitiveness. Therefore, it is necessary to adopt scientific and effective research methods to deeply analyze the psychological characteristics, demand motivation, preference factors, purchase channels and evaluation criteria of women's shoes consumers, so as to provide strong support for the design, production, marketing and service of footwear products.

The purpose of this paper is to explore the research methods of women's shoes consumers' buying habits, in order to provide some reference and enlightenment for the development of footwear industry. The research framework of this paper is shown in Figure 1.

Factors Affecting the Purchase Decision of Women's Shoes Consumers

The purchase decision of female shoe consumers refers to the result of the purchase behavior of female consumers after a series of cognition, evaluation, comparison and decision-making process when facing the choice of footwear products. The purchase decision of women's shoes consumers is influenced by many factors, which can be analyzed from the following four aspects.

2.1 personal characteristics

Personal characteristics refer to the basic attributes of women's shoes consumers, including age, income, education, occupation, family status, etc. These characteristics affect the consumption ability, consumption level and consumption psychology of women's shoes consumers, thus affecting their demand and preference for footwear products.

Generally speaking, the older the consumers of women's shoes, the higher the requirements for the quality, comfort and durability of footwear products, and the lower the requirements for fashion and personalization; the higher the income, the lower the price sensitivity of footwear products, and the higher the requirements for brand, style and function; the higher the education level, the stronger the ability of information acquisition and judgment of footwear products, the higher the aesthetic and taste of footwear products; women's shoes consumers with different occupations have different requirements for the adaptability and functionality of footwear products; women's shoes consumers with different family conditions have different autonomy and influence on the consumption decisions of footwear products.

2.2 way of life

Lifestyle refers to the comprehensive performance of women's shoes consumers' life attitude, values, hobbies, and consumer behavior. Lifestyle reflects the personality and style of women's shoes consumers, and also affects their demand and preference for footwear products.

Generally speaking, the more active the lifestyle of women's shoes consumers, the higher the requirements for the mobility, leisure and diversity of footwear products, the stronger the willingness to update and try new products; the more conservative the lifestyle of women's shoes consumers, the higher the requirements for the classics, stability and value preservation of footwear products, and the higher the loyalty and repeat purchase rate of footwear products.

2.3 Product Properties

Product attributes refer to the characteristics of footwear products, including brand, price, quality, style, color, function, material, etc. Product attributes are the main basis for women's shoes consumers to evaluate and choose footwear products, and also the main means for footwear brands and enterprises to compete differently.

Generally speaking, brand is an important factor affecting the purchase decision of women's shoes consumers. Brand not only represents the quality and reputation of footwear products, but also represents the identity and status of women's shoes consumers. Price is an important limiting factor for women's shoes consumers' purchase decision. Price not only reflects the value and cost of footwear products, but also reflects the consumption ability and level of women's shoes consumers. Quality is an important guarantee factor for women's shoes consumers' purchase decision, quality not only affects the service life and effect of footwear products, but also affects the health and safety of women's shoes consumers; style is an important attractive factor for women's shoes consumers to make purchase decisions, and style not only reflects the fashion and personalization of footwear products, but also reflects the aesthetics and taste of women's shoes consumers; color is an important matching factor for women's shoes consumers' purchase decisions, and color not only affects the visual effect and temperament of footwear products, it also affects the mood and mood of women's shoes consumers; function is an important satisfaction factor for women's shoes consumers' purchase decisions. Function not only determines the applicability and practicability of footwear products, but also determines the comfort and satisfaction of women's shoes consumers.; Material is an important distinguishing factor for women's shoes consumers' purchase decisions. Material not only affects the texture and feel of footwear products, but also affects the environmental protection and sustainable awareness of women's shoes consumers.

2.4 evaluation consciousness

Evaluation consciousness refers to the psychology and behavior of women's shoes consumers who make subjective or objective evaluation and feedback on the price of footwear products and their satisfaction before and after purchasing footwear products. Evaluation consciousness affects the quality and effect of the purchase decision of women's shoes consumers, and also affects the reputation and development of footwear brands and enterprises.

Generally speaking, female shoe consumers with stronger evaluation consciousness have higher expectations and standards for footwear products, more comprehensive and in-depth cognition and evaluation of footwear products, and more active and effective feedback and suggestions for footwear products; female shoe consumers with weaker evaluation consciousness have lower expectations and standards for footwear products, and more one-sided and shallow cognition and evaluation of footwear products, the more negative and ineffective the feedback and suggestions for footwear products.

Research Methods of Consumer Purchase Habits of Women's Shoes

According to the influencing factors of women's shoes consumers' purchasing decision, this paper puts forward the following research methods applicable to women's shoes consumers' purchasing habits, namely, questionnaire survey, in-depth interview, neural network analysis and so on.

3.1 questionnaire survey

Questionnaire survey is a commonly used research method, through the design of a series of questions, to the target group issued or online to fill in, collect and analyze data, draw conclusions and recommendations. The advantages of questionnaire survey are wide coverage, low cost, simple operation, large amount of data and high reliability. The disadvantages of questionnaire survey are difficult design, low recovery rate, poor validity and complicated data analysis.

The questionnaire survey is suitable for collecting basic information on the personal characteristics, lifestyle, product attributes, evaluation awareness of women's shoes consumers, as well as their general opinions on the needs, preferences, and satisfaction of footwear products. The questions in the questionnaire should be as concise, clear, objective and unambiguous as possible to avoid guidance, suggestion, bias and sensitivity. The questions of the questionnaire can be in the form of single choice, multiple choice, fill in the blank, score, sort, scale and so on. According to different purposes and contents, the appropriate questions and options can be selected. The questions in the questionnaire should be arranged in logical order and importance to avoid jumping and repetition. Questionnaire questions should try to balance the positive and negative content, avoid too positive or negative tendencies. The questions in the questionnaire should cover all possible situations and answers as much as possible to avoid omissions and biases.

The sample of the questionnaire should be as representative and random as possible to avoid selectivity and bias. The sample size of the questionnaire should be reasonably estimated and determined based on the purpose and scope of the study, as well as the reliability and validity of the data. The stratification of the sample of the questionnaire survey should be based on the focus and differences of the research, as well as the comparison and analysis of the data, reasonable division and distribution.

The distribution and recovery of questionnaires should be carried out in an effective and convenient way to avoid waste and delay. The distribution and recovery of questionnaires can be in paper or electronic form, and the appropriate channels and timing can be selected according to different target groups and occasions. The distribution and recycling of questionnaires should maximize the enthusiasm and coordination of participants and avoid rejection and abandonment. The distribution and recovery of the questionnaire survey can be motivated or rewarded, and the appropriate form and content can be selected according to different participants and conditions.

Questionnaire data collection and analysis should try to use scientific and effective methods to avoid errors and distortions. The data collection and analysis of questionnaire survey can use statistical or computer tools to select appropriate methods and techniques according to different data types and characteristics. The data collection and analysis of the questionnaire survey should try to clean up and screen invalid and abnormal data to avoid affecting the quality and results of the data. The data collection and analysis of the questionnaire survey should try to summarize and summarize the laws and trends of the data, and avoid being too detailed and trivial.

The results of the questionnaire and recommendations should be presented in a concise and robust manner to avoid being lengthy and ineffective. The results of the questionnaire and suggestions can be presented in the form of text or charts, and the appropriate format and content can be selected according to different readers and purposes. The results of the questionnaire and suggestions should be as much as possible to highlight and emphasize the focus and highlights of the data, to avoid dull and boring. The results of the questionnaire and suggestions should be presented as objectively and practically as possible, avoiding subjectivity and ideals.

3.2 in-depth interviews

In-depth interview is a commonly used research method. Through face-to-face or remote one-to-one or many-to-one conversations with target groups, data is collected and analyzed to draw conclusions and suggestions. The advantages of in-depth interviews are strong pertinence, high quality, wide depth and high flexibility. The disadvantages of in-depth interviews are narrow coverage, high cost, difficult operation, small amount of data, and poor comparability.

In-depth interviews are suitable for collecting in-depth information on the personal characteristics, lifestyle, product attributes, and evaluation awareness of women's shoes consumers, as well as their detailed opinions on the feelings, experiences, and opinions of footwear products. The questions of in-depth interviews should be open, guided, explored and stimulated as much as possible, avoiding closure, restriction, depression and interference. The questions of in-depth interviews can be in the form of direct, indirect, hypothesis, metaphor, projection, etc., according to different purposes and content, choose the appropriate way and angle. In-depth interview questions should be raised in a natural order and degree of relevance to avoid being abrupt and irrelevant. In-depth interview questions should try to balance positive and negative content and avoid too positive or negative tendencies. In-depth interview questions should try to cover all possible situations and answers to avoid omissions and biases.

The subjects of in-depth interviews should be as representative and typical as possible to avoid selectivity and bias. The number of subjects for in-depth interviews should be reasonably estimated and determined based on the purpose and scope of the study, as well as the reliability and validity of the data. The stratification of subjects of in-depth interviews should

According to the research focus and differences, as well as the comparison and analysis of data, reasonable division and distribution.

In-depth interviews should be conducted and recorded in an efficient and convenient manner to avoid waste and delay. In-depth interviews can be conducted and recorded face-to-face or remote, depending on the target group and occasion, to choose the appropriate channel and timing. In-depth interviews should be conducted and recorded to maximize the motivation and cooperation of the participants and avoid rejection and abandonment. The conduct and recording of in-depth interviews can be motivated or rewarded, and the appropriate form and content can be selected according to different participants and conditions.

In-depth interview data collection and analysis should try to use scientific and effective methods to avoid errors and distortions. Data collection and analysis of in-depth interviews can use audio or video recording tools to select appropriate methods and techniques based on different data types and characteristics. Data collection and analysis of in-depth interviews should try to clean up and screen invalid and abnormal data to avoid affecting the quality and results of the data. The data collection and analysis of in-depth interviews should try to summarize and summarize the patterns and trends of the data and avoid being too detailed and trivial.

The results of in-depth interviews and recommendations should be presented in a concise and forceful manner to avoid being lengthy and ineffective. The results of in-depth interviews and suggestions can be presented in the form of text or charts, and the appropriate format and content can be selected according to different readers and purposes. The results of in-depth interviews and recommendations should be made to highlight and emphasize the focus and highlights of the data as much as possible to avoid insipid and boring. The results of in-depth interviews and recommendations should be presented as objectively and practically as possible, avoiding subjectivity and ideals.

3.3 neural network analysis

Neural network analysis is an emerging research method that uses artificial intelligence and big data technology to simulate the brain neural network of women's shoes consumers, collect and analyze data, and draw conclusions and recommendations. The advantages of neural network analysis are high accuracy, high efficiency, high innovation and high cutting-edge. The disadvantages of neural network analysis are high technical difficulty, high cost, complex operation and data sensitivity.

Neural network analysis is suitable for collecting hidden information about the personal characteristics, lifestyle, product attributes, evaluation consciousness of women's shoes consumers, as well as their deep opinions on the subconscious, emotion and motivation of footwear products. The process of neural network analysis should be as safe, legal and ethical as possible to avoid infringement and damage to the privacy and rights of women's shoes consumers. The process of neural network analysis can use EEG, eye tracker, skin response and other equipment, according to different purposes and content, choose the appropriate way and angle. The process of neural network analysis should be designed according to scientific principles and methods to avoid deviations and errors. The process of neural network analysis should try to balance positive and negative content and avoid too positive or negative tendencies. The process of neural network analysis should try to cover all possible situations and answers, avoiding omissions and biases.

The objects of neural network analysis should be as representative and typical as possible, avoiding selectivity and bias. The number of objects analyzed by the neural network should be reasonably estimated and determined according to the purpose and scope of the study, as well as the reliability and validity of the data. The stratification of the object of neural network analysis should be reasonably divided and distributed according to the focus and difference of the research, as well as the comparison and analysis of the data.

Neural network analysis should be conducted and recorded in an efficient and convenient manner to avoid waste and delay. The neural network analysis can be carried out and recorded in the form of laboratory or field, and the appropriate channel and timing can be selected according to different target groups and occasions. Neural network analysis should be conducted and documented to maximize the motivation and engagement of participants and avoid rejection and abandonment. Neural network analysis can be performed and recorded in a motivational or rewarding manner, selecting the appropriate form and content based on different participants and conditions.

Data collection and analysis of neural network analysis should try to use scientific and effective methods to avoid errors and distortions. The data collection and analysis of neural network analysis can use artificial intelligence and big data tools to select appropriate methods and techniques according to different data types and characteristics. The data collection and analysis of neural network analysis should try to clean up and filter invalid and abnormal data to avoid affecting the quality and results of the data. The data collection and analysis of neural network analysis should try to summarize and summarize the laws and trends of the data, and avoid being too detailed and trivial.

The results of neural network analysis and recommendations should be presented in a concise and powerful manner to avoid being lengthy and ineffective. The results of neural network analysis and suggestions can be presented in the form of text or charts, and the appropriate format and content can be selected according to different readers and purposes. The results of neural network analysis are presented and it is suggested that the focus and highlights of the data should be highlighted and emphasized as much as possible to avoid bland and boring. The results of neural network analysis are presented and suggestions should be made as objectively and practically as possible, avoiding subjectivity and ideals.

4. Conclusion

This paper takes women's shoes consumers as the research object, discusses the various factors that affect their purchase decision, including personal characteristics, lifestyle, product attributes, evaluation consciousness, etc., and puts forward the corresponding research methods, including questionnaire survey, in-depth interview, neural network analysis, etc. This article draws on the professional experience and cases of Shangpu Consulting Company in the footwear market, analyzes the market demand and behavior characteristics of women's shoes consumers, and provides valuable references and suggestions for footwear brands and enterprises.

The purchase decision of women's shoes consumers is a complex psychological and behavioral process, affected by a variety of internal and external factors, the need to adopt scientific and effective research methods, in-depth analysis of women's shoes consumers' psychological characteristics, demand motivation, preference factors.

The purchase decision of women's shoes consumers is a complex psychological and behavioral process, which is affected by a variety of internal and external factors. It is necessary to adopt scientific and effective research methods to deeply analyze the psychological characteristics, demand motivation, preference factors, purchase channels and evaluation criteria of women's shoes consumers, so as to provide strong support for the design, production, marketing and service of footwear products.