Organic reach on Facebook is limited. If you want to grow a page faster, you need ads. But running ads manually across multiple pages is tedious and time-consuming. So I automated it.
The Goal: Page Likes at Scale
My primary ad objective is simple: get more page likes. More followers means more organic reach for the automated content my system produces every day. It's a flywheel — ads bring followers, content keeps them engaged, engagement improves reach.
How the Ads System Works
I built an ads manager directly into Loom. Here's the structure:
- Campaign creation. Each page gets its own Page Like campaign. The system creates the campaign with the right objective (engagement/page likes) and budget.
- Ad set configuration. Targeting is set based on the page's niche and market. Age, interests, and geography are configured to match the audience most likely to engage with the content.
- Creative selection. The system pulls the best-performing videos from the page's content library — the same content that was created by the content machine. No need to create separate ad creative.
- Launch and monitor. The campaign goes live through the Facebook Marketing API. Tim can check on performance and flag issues — part of the same quality monitoring system he uses across all content.
Why Page Likes (Not Other Objectives)
A lot of Facebook advertisers focus on conversions, traffic, or engagement. I focus on page likes because of how my business model works:
- My pages produce content automatically. Every new follower sees that content organically.
- Page likes compound. Unlike a traffic campaign where you pay for each click, a page like keeps delivering value every time you post.
- It's the simplest objective to automate. The creative is already being produced by the content system. The targeting is straightforward.
What I've Learned About Facebook Ads
- Video ads outperform everything. Especially the short, engaging videos my content system produces. They stop the scroll.
- Let Facebook's algorithm work. Advantage+ targeting often outperforms manual targeting. Don't over-constrain it.
- Budget small, run long. I prefer low daily budgets running continuously over big short bursts. It gives the algorithm time to optimize.
- Your best ad is your best content. The videos that perform well organically also perform well as ads. The content machine identifies winners automatically.
- Cost per like varies wildly by market. Some markets are incredibly cheap. Others are expensive. The multilingual approach lets me focus spend where it's most efficient. I put this into practice when launching ad campaigns across five Vietnamese pages simultaneously.
The Automation Advantage
The biggest advantage of automating ads isn't speed — it's consistency. Manual ad management suffers from "I'll get to it later" syndrome. Automated systems don't procrastinate. They create campaigns, set budgets, select creative, and launch — every time, the same way.
Combined with the content system that feeds it, the ads become just another automated step in the growth machine. Content creates itself, ads amplify it, followers accumulate, and the cycle continues.
Ads aren't the only way to grow an audience. I also set up an email marketing system — because followers on social media are rented, but an email list is owned. Same automation philosophy, different channel.
If you're curious about the content system that produces the ad creative, read about the content machine. Or if you want to understand why I built all of this myself, there's a post about that too.
The ad automation I described here — campaign creation, budget management, creative selection — is something my Jarvis customers can set up too. Same approach, same API integrations, running on your own server where the agent manages your campaigns the way Tim manages mine.
— Pond
