1. quantitative data-based analysis

Data-based quantitative analysis refers to the use of big data, artificial intelligence, machine learning and other technologies to conduct in-depth mining and analysis of the historical and current data of the industry, from which to discover the laws, patterns, trends and forecasts of the industry. The advantage of this method is that it is objective, scientific and accurate, and can provide quantifiable evidence and indicators. It is suitable for analyzing industries with rich data, relatively stable changes and less external influence.

Case 1: Data-based quantitative analysis helps an e-commerce platform optimize marketing strategies

Shangpu Consulting provides a data-based quantitative analysis service for an e-commerce platform to help it optimize its marketing strategy and improve user conversion and retention rates. Shangpu Consulting first collected user behavior data, commodity data, order data, evaluation data, etc. of the e-commerce platform, and used data mining and machine learning methods to clean, integrate, analyze and model the data, and obtained the following insights:

User portrait: Shangpu Consulting divides users into different sub-groups through cluster analysis. According to their age, gender, region, income, consumption preference, purchase frequency, purchase amount, purchase time and other characteristics, it has established detailed user portraits for each sub-group. For example, women aged 25-35 live in first-tier cities and have a monthly income of more than 10000, like to buy fashion, beauty, home and other categories of goods, the number of monthly purchases is 3-5 times, each purchase amount is 200-500 yuan, the purchase time is mainly concentrated on weekends and holidays.

User behavior: Shangpu Consulting found the association rules between user behaviors through association analysis. For example, users who bought lipstick of a certain brand have an 80% probability of buying other beauty products of the brand again within one month. Users who have purchased a certain category of goods have a 60% probability of browsing and purchasing other goods of the same category at the next purchase; users who have purchased a product in a certain price range have a 40% probability that they will choose a product in a higher price range at the next purchase.

User satisfaction: Through emotional analysis, Shangpu Consulting conducted text mining and analysis on users' evaluation data, and identified the reasons for users' satisfaction and dissatisfaction with goods and services, such as users' evaluation on the quality, appearance, function, cost performance and other aspects of goods, as well as the evaluation on logistics, after-sales, customer service and other aspects, the positive, neutral and negative emotional labels are used for labeling and statistics, and the distribution and change trend of user satisfaction are obtained.

Based on the above insights, Champu Consulting put forward the following suggestions for the e-commerce platform:

According to the user portrait, formulate personalized marketing strategies, such as: according to different subdivided groups, push different product recommend, coupons, activities, etc., to improve the click rate and purchase rate of users; According to the user's consumption ability and preference, adjust the price and display order of goods to improve the user's consumption amount and satisfaction; According to the user's purchase time, set different promotion strategies, such: time-limited discounts, seconds, groups, etc., to improve the user's purchase frequency and activity.

According to user behavior, optimize the collocation and recommend of goods, such as: according to the user's purchase history, recommend related goods to improve the user's re-purchase rate and loyalty; According to the user's browsing history, recommend similar goods to improve the user's exploration and interest; According to the user's purchase rules, recommend matching goods to improve the user's conversion rate and retention rate.

According to user satisfaction, improve the quality of goods and services, such as: according to the positive evaluation of users, enhance the advantages and characteristics of goods, increase the trust and reputation of users; according to the negative evaluation of users, improve the defects and problems of goods, reduce the complaints and returns of users; according to the neutral evaluation of users, improve the details and functions of goods, and improve the expectations and satisfaction of users.

Through the data-based quantitative analysis service of Shangpu Consulting, the e-commerce platform has achieved a 15% increase in user conversion rate, a 10% increase in user retention rate, and an 8% increase in user satisfaction within three months. It has been highly recognized and praised by customers.

2.Based on expertsqualitative judgment

Qualitative judgment based on experts refers to the use of the expert network of Shangpu Consulting to conduct in-depth research and analysis on the current situation and future of the industry, and discover the opportunities and challenges, advantages and disadvantages, risks and uncertainties of the industry. The advantage of this approach is that it is flexible, comprehensive and profound, and can provide multi-angle views and insights, which are suitable for analyzing industries where data is scarce, rapidly changing and highly influenced by external influences.

Case 2: Based on the qualitative judgment of experts to help a new energy vehicle enterprises to develop strategic planning.

Shangpu Consulting provides expert-based qualitative judgment services for a new energy vehicle company to help it formulate strategic plans and respond to industry competition and changes. Shangpu Consulting first used its expert network to invite experts from different fields, such as: experts in the new energy automobile industry, experts in the automobile market, experts in automobile technology, experts in automobile policy, etc., to conduct in-depth interviews and exchanges, Collected the following information:

Industry status: Shangpu Consulting has learned about the current situation of the new energy automobile industry through expert interviews, such as: market size, market share, market demand, market competition, market distribution, etc., and has obtained a comprehensive industry portrait, such as: In the past few years, the new energy automobile industry has received strong support from the government and the favor of consumers, and has achieved rapid development and growth, but at the same time, it also faces fierce competition and constant change, which requires constant innovation and adaptation.

Industry Future: Through the exchange of experts, Shangpu Consulting discussed the future of the new energy automobile industry, such as market trends, market opportunities, market challenges, market risks, market uncertainties, etc., and obtained a diversified industry forecast, such as: In the next few years, the new energy automobile industry will continue to maintain rapid growth, but it will also face more variables and pressures, such: technological advances and breakthroughs, changes in consumer needs and preferences, policy adjustments and changes, environmental impacts and changes, etc., require stronger strategic planning and execution capabilities.

Based on the above information, Shangpu Consulting puts forward the following suggestions for the new energy automobile enterprise:

According to the current situation of the industry, determine their own strengths and weaknesses, such as: product quality, performance, design, price, service level, scope, efficiency, brand awareness, image, reputation, etc., the number of resources, quality, distribution, etc., the level of ability, characteristics, innovation, etc., conducted a comprehensive SWOT analysis, to find out their own strengths and weaknesses, and external opportunities and threats.

According to the future of the industry, formulate their own goals and strategies, such as: market positioning, goals, share, product innovation, differentiation, diversification, service expansion, optimization, personalization, brand construction, promotion, dissemination, etc., resource acquisition, utilization, integration, ability improvement, expansion, collaboration, etc., conducted a detailed SMART analysis, specific objectives and strategies have been developed, as well as corresponding action plans and evaluation indicators.

According to its own goals and strategies, it implements its own actions and monitoring, such as: organizational structure, culture, incentives, personnel recruitment, training, assessment, financial budget, investment, return, operation process, quality, efficiency, marketing channels, methods, effects, risk identification, assessment, response, etc., and carries out a systematic PDCA cycle, effective action and monitoring, as well as timely feedback and improvements, were implemented.

Through the expert-based qualitative judgment service of Shangpu Consulting, the new energy automobile company has achieved a 10% increase in market share, a 20% increase in product sales, and a 15% increase in customer satisfaction within one year. Recognition and respect.

3. scene-based creative thinking

Scenario-based creative thinking refers to the use of the innovative methods of Shangpu Consulting to imagine and construct a variety of possibilities for the future of the industry, from which to discover the potential needs of the industry, new business models, and future competitiveness. The advantages of this approach are foresight, innovation, and breakthroughs. It can provide imagination and creation beyond reality. It is suitable for analyzing industries with insufficient data, unclear changes, and more external influences.

Case 3: Scenario-based creative thinking helps an online education platform explore new growth points

Shangpu Consulting provides a scenario-based creative thinking service for an online education platform to help it explore new growth points and expand new market space. Champu Consulting first used its innovative methods, such as brainstorming, mind mapping, six thinking hats, etc., to imagine and construct a variety of possibilities for the future of the industry, and obtained the following scenarios:

Scenario 1: Intelligent online education. In this scenario, the online education platform uses artificial intelligence, big data, cloud computing and other technologies to provide users with intelligent online education services, such as: intelligent course recommend, intelligent learning path, intelligent learning guidance, Intelligent learning evaluation, etc., to achieve a personalized, precise and efficient online education experience.

Scenario 2: Socialized online education. In this scenario, the online education platform uses social media, community platform, live interaction and other technologies to provide users with social online education services, such as social course sharing, social learning exchange, social learning mutual assistance, social learning motivation, etc., to achieve interactive, shared and collaborative online education experience.

Scene 3: Entertaining online education. In this scenario, the online education platform uses gamification, storytelling, situational and other technologies to provide users with entertaining online education services, such as entertaining curriculum design, entertaining learning methods, entertaining learning content, entertaining learning rewards, etc., to achieve interesting, immersive and experiential online education experience.

Based on the above scenario, Champ Consulting made the following suggestions for the online education platform:

According to scenario 1, develop intelligent online education products, such as using artificial intelligence speech recognition, natural language processing, image recognition and other technologies to develop intelligent online education assistants, which can provide intelligent course recommend, learning paths, learning guidance, learning evaluation and other services according to users' voice, text, pictures and other inputs, so as to realize personalized, accurate and efficient online education experience.

According to scenario 2, develop social online education products, such as: using social media, community platforms, live interaction and other technologies to develop a social online education platform, which allows users to share social courses, learn exchanges, learn mutual assistance, and learn incentives with other users while learning, so as to realize interactive, shared and collaborative online education experience.

According to scenario 3, develop entertaining online education products, such as using gamification, storytelling, situational and other technologies to develop entertaining online education applications, which can enable users to enjoy entertaining curriculum design, learning methods, learning content, learning rewards, etc. while learning, so as to realize interesting, immersive and experiential online education experience.

Through the scene-based creative thinking service of Shangpu Consulting, the online education platform has developed three new online education products within half a year, which have attracted a large number of new users and old users respectively according to different user needs and market space, realizing the performance of 30% increase in user growth rate, 25% increase in user activity and 20% increase in user payment rate, get the attention and appreciation of the market.

Conclusion

This paper introduces the three methods of Shangpu Consulting in industry trend prediction, namely: quantitative analysis based on data, qualitative judgment based on experts and creative thinking based on scenarios. At the same time, this paper also shares the practical cases of using these three methods in different industries and fields, and shows how Shangpu Consulting provides valuable insights and suggestions to help customers grasp the opportunities and challenges of industry changes.