For cross-border shopping agent teams operating within the Kakobuy Discord community, understanding client needs is paramount. The Kakobuy Spreadsheet serves as the core tool for conducting precise and actionable customer research. This centralized system enables agents to gather and analyze crucial client data directly from Discord interactions.

Centralizing Discord Client Insights

Shopping agents can create a dedicated Discord customer research section within the Kakobuy Spreadsheet. Here, they systematically record key demographics and preferences of community members, including:

• Age & Gender
• Geographic Location
• Preferred Product Categories (e.g., beauty, electronics, fashion, Jackets, Jackets for specific seasons)
• Spending Budget
• Specific Shopping Agent Requests

Automated Analysis with Survey Formulas

A powerful feature of the Kakobuy Spreadsheet is its ability to integrate survey calculation formulas. After launching a research poll in the Kakobuy Discord server, agents can compile responses into the spreadsheet. The formulas then automatically compute demand percentages, generating instant insights such as:

• "60% of clients prefer affordable cosmetics"
• "40% of clients request plus-size clothing"
• "High demand for designer Jackets among European clients"

Driving Service Improvement with Client Feedback

Beyond demographics, the spreadsheet includes a dedicated client suggestions module. Agents document community feedback on Kakobuy's services, covering areas like:

• Shipping times and logistics
• Product packaging quality
• Communication efficiency
• Product availability (including specific items like winter Jackets)

Teams can then identify recurring suggestions, formulate optimization plans, and track the implementation results directly within the same spreadsheet. This creates a closed-loop system where customer research directly informs service upgrades, leading to increased client satisfaction and loyalty.

By leveraging the Kakobuy Spreadsheet for structured Discord community research, shopping agent teams transform casual feedback into quantitative data. This empowers them to make evidence-based decisions, tailor their procurement strategies to actual demand—such as stocking more trending Jackets—and ultimately build a more responsive and client-centric business.