In recent years, with the rapid development of big data, cloud computing, blockchain, artificial intelligence and other new technologies, these new technologies promote the widespread use of customer portraits. Customer portrait can be used to mine the user's interest, preference and demographic characteristics. Its main purpose is to improve the marketing accuracy and recommendation matching degree. Its ultimate purpose is to improve product service and enterprise profit. Customer portrait is suitable for every product cycle: from new user's drainage to potential user's mining, from old user's training to the return of lost users, etc. Huilan deeply analyzes the pain points of business development of various industries in combination with the current situation of informatization development and service requirements of various industries.
Huilan provides customer portrait solution, through which precise marketing can be realized.
The overall logic architecture of the system is the core of the system. Huilan fully analyzes the requirements of business development in various industries, and designs the following customer portrait platform architecture.
System architecture
The solution of customer portrait platform provided by Huilan mainly includes data processing, big data platform and application-oriented. Through the external call platform, basic information of customers is collected for customer portrait, so as to realize new user drainage, potential user mining, old user training and customer churn return, and finally realize accurate marketing of customers.
The customer portrait provided by Huilan can intelligently analyze data files, connect enterprise CRM, member system, marketing platform, wechat, customer service, call center and other data, and realize standardized customer data.
The customer portrait city provided by Huilan is based on the user's customized analysis model to realize the data analysis and application of marketing scenarios such as customer acquisition, potential customer transformation, cross sales, loss early warning, customer recall, etc., to fully understand the business data and realize intelligent optimization.
Customer portrait includes tag rules, industry tag library, life cycle value model, multi-dimensional value scoring, model calculation, behavior prediction, restoring the real path of users, and outlining user behavior portrait.
Through the data and content management of call center, customer portrait builds customer view, provides personalized marketing scheme for customers in various stages, and continuously improves customer experience.
Customer portrait is based on the analysis of customer a data, refined the operation of customers in different life cycles, and continuously improved the marketing effect and customer experience.
Based on the customer portraits of Huilan, find common features, conduct crowd diffusion in the internal and external databases, and rapidly expand the potential customers.
Based on the customer portrait of Huilan, carry out marketing points of all dimensions for potential customers, carry out targeted marketing and improve conversion rate.
Through the customer portrait of Huilan, we can predict the possible loss of customers, help to recover, analyze the causes, and help enterprises optimize their products and services.
The customer portrait of Huilan makes the user's evaluation information (including text or semantics) subject / keyword and emotional analysis to simplify it.