WordPress Contact Form (CF7) Responses and Classification
This workflow automatically receives user submissions from the Contact Form 7 plugin on WordPress, intelligently categorizes customer messages, and uses the Google Gemini language model to generate personalized email reply drafts. All data is uniformly stored in Google Sheets, achieving full-process automated management of customer inquiries. This system significantly enhances customer service response speed and quality, helping businesses handle customer needs more efficiently and optimize service processes, making it suitable for small and medium-sized enterprises as well as e-commerce platforms.
Workflow Name
WordPress Contact Form (CF7) Responses and Classification
Key Features and Highlights
This workflow automatically receives user submissions from the WordPress Contact Form 7 plugin, intelligently classifies customer messages (such as product inquiries, order status requests, etc.), and generates professional, personalized email reply drafts based on the Google Gemini language model. All data is centrally stored in Google Sheets, enabling fully automated end-to-end management from customer message reception to reply draft generation and archival.
Core Problems Addressed
- Low efficiency in manually classifying and responding to large volumes of customer inquiries
- Lack of personalization and professionalism in reply content, negatively impacting customer experience
- Dispersed information that is difficult to manage and analyze in a unified manner
By automating classification and intelligent reply draft generation, this workflow significantly improves customer service response speed and quality while ensuring systematic data storage for easy follow-up and analysis.
Application Scenarios
- Automated customer service for corporate websites
- Management of order and product inquiries on e-commerce platforms
- Any business scenario requiring rapid response to customer needs collected via website forms
It is especially suitable for small and medium-sized enterprises or e-commerce businesses that receive a high volume of daily inquiries and need to enhance customer service efficiency and quality.
Main Process Steps
- Data Reception: Receive POST submissions from WordPress CF7 forms via the n8n Webhook node.
- Field Extraction: Extract and organize key customer information such as name, email, phone number, and message content.
- Message Classification: Use the Google Gemini model to classify message content (e.g., product information, order inquiries).
- Intelligent Reply Generation: Based on classification results, invoke different language model workflows to generate targeted, professional reply drafts.
- Email Draft Creation: Structure the reply into email subject and body to form a complete email draft.
- Email Draft Saving: Save the draft as a Gmail draft for customer service staff to review and send.
- Data Storage: Append customer information, classification results, and reply drafts to Google Sheets for ongoing management and reporting.
Systems and Services Involved
- WordPress Contact Form 7 (data forwarded via CF7-to-Zapier plugin)
- n8n automation platform
- Google Gemini (PaLM) language model API
- Gmail (for saving email drafts)
- Google Sheets (for data storage and management)
Target Users and Value
- Website Customer Service Teams: Greatly reduce workload and improve response efficiency through automated classification and intelligent reply drafts.
- E-commerce and Sales Teams: Quickly and accurately respond to customer inquiries, enhancing customer satisfaction and conversion rates.
- Business Managers: Systematically manage customer inquiry data to facilitate analysis and optimize service processes.
In summary, this workflow enables enterprises to achieve a fully automated closed loop from customer inquiry reception, intelligent classification, professional reply draft generation, to data storage—enhancing customer communication experience and internal operational efficiency.