Fragmentation of customer information: Customer data, contracts, and communication records are scattered across emails, chat tools, and personal computers, making them very easy to lose or miss.
Chaotic follow-up process: Sales leads are difficult to manage in a unified manner, and customer status updates are delayed, resulting in loss of business opportunities.
Lack of transparency in teamwork: It is difficult for multiple departments to collaborate, information silos are serious, and it is difficult to form a joint force.
Lack of data-driven decision-making: Sales data and customer feedback cannot form effective analysis reports, affecting strategic adjustments.
Functional modules | Key Values | Practical application of foreign trade |
---|---|---|
Centralized management of customer information | Eliminate information silos to ensure data integrity and real-time updates | Integrate multi-channel data (email, WeChat, phone) to achieve a 360-degree customer portrait |
Automated sales process | Reduce manual repetitive operations and speed up order conversion | Set reminders and tasks to ensure timely follow-up with important customers and avoid loss of business opportunities |
Collaboration and permissions management | Multiple teams share information, with efficient division of labor and secure permissions | Synchronize sales, customer service, and warehousing data to improve cross-departmental coordination capabilities |
Data Analysis and Insights | Use BI tools to drive decision making and optimize resource allocation | Track customer lifetime value (LTV) and adjust marketing strategies and product portfolio |
The coverage rate of centralized customer information management has been increased to 95%, avoiding duplicate contacts and omissions.
Automated task reminders reduce manual omissions and increase the timeliness of customer return visits by 40%.
Information sharing and permission configuration within the team ensure efficient collaboration and reduce project response time by 30%.
Based on CRM data analysis, high-value customers are accurately identified and sales conversion rate is increased by 25%.
The overall customer management cost is reduced by 30%, saving manpower and time.
Sort out basic customer data: aggregate existing customer information, clean up duplicate and invalid data, and form standardized customer files.
Design sales and follow-up processes: Build automation and reminder mechanisms based on business characteristics and team habits to ensure a smooth process.
Cultivate a data-driven culture: Regularly use CRM reports to analyze customer behavior and guide adjustments to marketing and sales strategies.
Intelligent lead scoring system accurately targets high-potential customers and saves screening time.
Automatic email and chat history archiving improves communication transparency and prevents information loss.
Multi-terminal synchronization and offline functions ensure that teams can seamlessly connect and respond to global customers at any time.