Generate highly specific ad copy using Airtable and make.com

AI-Generated Ad Copy Automation: A Deep Dive

Key Concepts:

• AI-generated ad copy
• Automation (make.com)
• Air table for data management and AI prompting
• Chat gbt Whisper for transcription
• Bulk ad creation
• Ad copy generation frameworks

Automation Workflow (make.com)

The core of the system lies in an automation built using make.com. This automation performs the following steps:

1. Google Drive Integration: Retrieves video files from a specified Google Drive folder.
2. Facebook API Connection: Uses an API key to prepare for uploading assets to Facebook.
3. Asset Type Handling: Differentiates between image and video paths, processing accordingly.
4. Video Upload: Uploads the video to the designated Facebook ad account.
5. Thumbnail Generation & Storage: Generates a thumbnail for the video and stores its Dropbox URL.
6. Audio Extraction & Transcription:
   • Downloads the video file from Google Drive.
   • Converts the video to an MP3 audio file.
   • Transcribes the MP3 using Chat gbt Whisper.
7. Data Storage in Air table: Stores the video file details, thumbnail URL, asset ID, and the complete video transcription in an Air table database.

Air table AI-Powered Ad Copy Generation

Air table is used to leverage the transcribed data and generate ad copy using AI.

1. AI Columns: Air table's AI column feature allows for custom prompts that reference other data within the table.
2. Custom Prompt Engineering: A custom prompt is created to:
   • Reference the video transcription.
   • Study the URL of the ad being advertised.
   • Reference top-performing ad copy examples stored in Air table for the specific ad account.
   • Apply preferred ad copy generation frameworks.
3. Ad Copy Generation: Clicking a "generate" button triggers the AI to produce five variations of ad copy based on the prompt.
4. Manual Refinement: The generated ad copy is then tweaked and refined manually.
5. Ad Assembly & Creation: The finalized ad copy is copied and pasted into the ad data, which can then be used to automatically assemble and create the ad in the ad account.

Additional Use Cases & Integrations

The workflow can be extended with further integrations:

• AI Voiceover Generation: The transcription from Air table can be used with the 11 Labs API to create a new AI voiceover for the video.
• Ad Policy Compliance Analysis: The transcription can be analyzed to predict the likelihood of the video being flagged by ad policies.

Bulk Ads Tool & Community

• Bulk Ads Tool: The system is integrated into a bulk ads tool, enabling the creation of multiple ads with a single click. A waitlist is currently open for beta users.
• School Community: A community will be launched to teach users how to build similar automation workflows.

Conclusion

The presented system offers a powerful method for automating ad copy generation using AI. By integrating tools like make.com, Chat gbt Whisper, Air table, and potentially 11 Labs, users can streamline their ad creation process, improve efficiency, and potentially enhance ad performance. The system's flexibility allows for further customization and integration with other tools, making it a valuable asset for ad operations.