Meta ads Research Automation

Meta ads Research Automation

Built for

Built for

Built with

Built with

Overview

Overview

I automated a manual Meta Ads research process for a solo business owner, saving 20h monthly

I automated a manual Meta Ads research process for a solo business owner, saving 20h monthly

Key skills

Key skills

Lowcode

Lowcode

Lowcode

Lowcode

Lowcode

Data pipeline

Data pipeline

Data pipeline

Data pipeline

Data pipeline

Dates

Dates

Oct 14, 2024

-

Nov 14, 2024

Industry

Industry

Marketing

Marketing

Challenges

Challenges

The client, a solo business owner and father, faced several challenges in managing his creative inspiration process:

  • Manually scrolling through the Meta Ads Library for creative inspiration every week.

  • This process consumed 4 hours weekly, leaving him with less time for family or energy to scale his business.

  • Traditional coding solutions to automate this process would be expensive to develop, maintain, and scale.


He sought a no-code solution to build an MVP within a month.

Actions

Actions

After a 4-week intense learning period and comparing different APIs and tools, I designed and implemented an ads research automation system that my client is happy with:

  • Automated Data Retrieval: The Meta Ads Library API retrieves the latest ads weekly.

  • AI-Powered Filtering: n8n processes the ads through an AI model to identify and select the most relevant ones.

  • Organized Output: Airtable compiles the AI-selected ads into a clean, easy-to-use list for the client to review.


This system ensures the client gets a curated selection of the best ads without lifting a finger.

Results

Results

+20h

saved monthly from manual researching

+20h

saved monthly from manual researching

10k+

ads analyzed weekly

10k+

ads analyzed weekly

4

weeks delivered from 0-1

4

weeks delivered from 0-1