Amazon Review Analysis Automation

This workflow is ideal for:

• Digital Marketers looking to analyze competitors' reviews for insights on product improvements.
• E-commerce Entrepreneurs who want to gather and assess customer feedback from Amazon to enhance their offerings.
• Data Analysts who need to aggregate and summarize large datasets from online reviews quickly.
• Social Media Managers seeking to create targeted ad content based on customer feedback and pain points.

This workflow addresses the challenge of efficiently collecting, aggregating, and analyzing customer reviews from Amazon products. It automates the process of:

• Gathering review data using Bright Data API.
• Aggregating and summarizing reviews to identify common pain points.
• Generating creative ad content based on insights derived from the reviews, ultimately saving time and improving marketing strategies.

1. Trigger: The workflow is manually triggered when a user submits an Amazon product URL through a form.
2. API Call: It sends a POST request to the Bright Data API to initiate the data collection process for the specified product.
3. Polling: The workflow waits for a specified time (1 minute) to check the progress of the data collection.
4. Status Check: It checks if the data collection is still running or if it has completed.
5. Data Retrieval: If completed, it retrieves the collected review data from Bright Data.
6. Aggregation: The workflow aggregates all the review texts into a single summary.
7. LLM Summary: It generates a summary of the reviews using an AI language model, focusing on the competitors' weaknesses.
8. Image Generation: An image is created based on the summarized feedback to be used in marketing campaigns.
9. Email Sending: Finally, it sends an email with the summarized data and the generated image to the designated media buyers.