Sticky Note Automate

用于Sticky Note,自动化收集和分析亚马逊产品评论,生成竞争对手的弱点总结,并创建广告素材。通过集成Google Sheets和LangChain,实现高效的数据管理和智能分析,节省时间并提升市场策略。

7/8/2025
17 nodes
Complex
manualcomplexsticky notewaitlangchaingooglesheetsformtriggeraggregategmailadvancedapiintegrationlogicconditional
Categories:
Communication & MessagingComplex WorkflowManual TriggeredData Processing & Analysis
Integrations:
Sticky NoteWaitLangChainGoogleSheetsFormTriggerAggregateGmail

Target Audience

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.

Problem Solved

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.

Workflow Steps

  • 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.
  • Customization Guide

    To customize this workflow:
    - Change the Amazon Product URL: Update the form field to target different products.
    - Modify API Keys: Replace with your actual Bright Data API key in the HTTP request nodes.
    - Adjust Waiting Time: Change the waiting period in the 'Wait - Polling Bright Data' node to suit your needs.
    - Edit Aggregation Fields: Update the fields in the 'Aggregating all reviews' node to include additional review data you wish to analyze.
    - Personalize Email Content: Tailor the email message in the 'Gmail - Sending creative to Media Buyers' node to reflect your brand voice and specific campaign details.