Automate Testimonials Management with Strapi and N8N

Overview

This workflow automates the collection and analysis of testimonials using Strapi, Twitter, and Google Cloud Natural Language. It efficiently gathers user feedback from Twitter, analyzes sentiment, and stores the data in Strapi for easy management.

Key Features

• Automated Data Collection: Uses a webhook to capture form submissions and Twitter searches to find relevant tweets.
• Sentiment Analysis: Employs Google Cloud Natural Language to analyze the sentiment of both form submissions and tweets.
• Data Storage: Stores processed testimonials in Strapi, a headless CMS, for organized management.

Benefits

This automation saves time by reducing manual data entry and analysis, ensuring that testimonials are quickly and accurately processed. It enhances decision-making by providing sentiment insights, allowing businesses to respond promptly to customer feedback.

Use Cases

Ideal for marketing teams looking to leverage customer testimonials for brand building and customer engagement. It can also be used by content managers to curate positive feedback for promotional purposes.

Integrations

• Strapi: For storing and managing testimonials.
• Twitter: To search and retrieve user feedback.
• Google Cloud Natural Language: For sentiment analysis.

This workflow provides a seamless integration of data collection, processing, and storage, enhancing efficiency and accuracy in managing customer testimonials.