Most Facebook ads are basically expensive digital billboards. You throw money at broad audiences hoping something sticks. But what if you could build laser-focused custom audiences from competitors' Instagram followers?
That's exactly what Nico discovered while helping an e-commerce client who was burning $50K monthly on Facebook ads with mediocre returns. The solution wasn't better creative or higher budgets. It was building custom audiences from scraped Instagram follower data that delivered 5x ROI almost immediately.
Here's the reality: Instagram's public API limitations mean most marketers never tap into the goldmine of follower data sitting right there. Meanwhile, savvy operators are quietly scraping competitor accounts and uploading those audiences to Facebook for surgical targeting.
In This Episode:
> How to identify which Instagram accounts have your ideal customers
> The technical setup for scraping follower lists at 5,000+ profiles per hour
> Facebook's Terms of Service gray areas and how most successful marketers navigate them
> Why scraped custom audiences outperform lookalikes by 3x on average
> Real case study: turning 100K scraped profiles into $180K additional revenue
Timestamps:
00:00 Introduction
01:30 The $50K Facebook ads problem
03:15 Why standard custom audiences fail
05:00 Instagram scraping setup walkthrough
07:20 Facebook upload process and compliance
09:45 ROI calculations and optimization
11:30 Scaling beyond single accounts
This isn't theoretical marketing advice. Nico walks through the actual tools, scripts, and processes his clients use to build audiences that convert. You'll see the real numbers and understand exactly why this approach consistently beats standard Facebook targeting.
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Keywords: machine learning business, automation success, automation roi, automation tools, business process automation
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