Amazon Ads AI Optimization

This workflow is ideal for:

• Amazon Advertisers: Those running sponsored product campaigns looking to optimize their advertising strategies and budget allocations.
• Digital Marketing Managers: Professionals who need to analyze multiple reports and derive actionable insights for advertising performance.
• Data Analysts: Individuals responsible for processing and interpreting advertising data to inform decision-making.
• Small Business Owners: Entrepreneurs managing their own advertising efforts who want to automate report analysis and recommendations.
• Marketing Agencies: Teams managing multiple clients' advertising campaigns who require efficient reporting and optimization processes.

This workflow addresses the challenges of:

• Data Overload: Automating the extraction and analysis of multiple advertising reports, reducing the manual effort required to derive insights.
• Inefficient Reporting: Streamlining the process of generating optimization recommendations from raw data, enabling quicker decision-making.
• Inconsistent Analysis: Providing a structured approach to analyzing performance data, ensuring consistent and reliable recommendations across campaigns.
• Time Consumption: Minimizing the time spent on manual report handling and analysis, allowing marketers to focus on strategic tasks.

1. Trigger: The workflow is manually initiated, allowing users to start the process at their convenience.
2. List Files: It connects to Google Drive to retrieve advertising report files from a specified folder.
3. File Selection: Users choose files, which are filtered to only include .xlsx and .csv formats.
4. Data Extraction: The workflow extracts data from the selected files, handling both XLSX and CSV formats effectively.
5. Data Formatting: Extracted data is formatted and organized for analysis, ensuring consistency in structure.
6. Data Merging: The workflow merges data from different file types into a single dataset for comprehensive analysis.
7. AI Analysis: It utilizes the OpenAI model to generate performance optimization recommendations based on the merged data.
8. Email Optimization Results: Finally, the workflow sends an email containing the optimization recommendations to the specified recipient, summarizing key actions and insights.