CasesMeta ads Research Automation
Marketing client

Meta ads Research Automation

Save 20h/week from manually researching ads

No-code / Low-codeData
ClientMarketing client
WhenOct 2024 – Nov 2024
IndustryMarketing
Meta ads Research Automation — desktop
Meta ads Research Automation — mobile
+20h
saved monthly from manual researching
10k+
ads analyzed weekly
4
weeks delivered from 0-1
The context

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.

How I built it

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.

Built with
AirtableAirtable
MakeMake
n8nn8n