I Use This Strategy To Make $10K On Facebook Each Month Posting Images

Summary

The presenter describes a Facebook content operation that he says earns $5,000–$10,000 per month, sometimes more, primarily from image-and-text posts rather than Reels. His approach combines competitor research, audience analysis, AI-assisted image creation, and systematic reposting of proven content.

Operating model and metrics

• He says he publishes more than 20 posts per day and one or two videos daily. Images account for most of his income, while videos are mainly used for outreach.
• He currently spends about one hour per day on the workflow. He says it initially took 8–10 hours a day, and that reducing the time required experimentation and a repeatable system.
• He attributes earning $5,000–$10,000 monthly for the last four months partly to reposting successful content.
• His examples of reposting cadence and performance thresholds:
  • Wait at least 30 days before reposting; aim for 60–90 days when possible.
  • He currently posts about two reposts per day.
  • In one analysis, he identified more than 300 image posts that had earned $50 or more over roughly the previous five to six months.

Research and content-development playbook

• Build a competitor set: Identify 5–10 Facebook pages in or near the same niche. Review recent posts and save high-performing examples to an idea library.
• Collect enough examples to spot patterns: Aim for 15–20 strong competitor posts from the past week or month. A paid research tool such as Post Planner may help; the presenter estimates its cost at about $60 per month.
• Research beyond Facebook: Track trends on X and follow 3–5 relevant accounts. Also study Instagram: the presenter reports that some Instagram images perform well when adapted for Facebook, and vice versa.
• Analyze, don’t merely imitate: Use ChatGPT or another AI tool to identify recurring topics, image styles, layouts, and themes. The goal is to understand why content resonates with an audience, then create an original version with distinct branding.
• Use audience data to guide creative choices: Review Facebook page demographics in Meta Business Suite. The presenter’s audience is mostly U.S.-based women aged 55+, which informs the subjects and visual approach he tests.
• Treat early audience response as a signal: He believes Facebook initially tests posts with a subset of a page’s existing audience, and that strong responses can help content reach similar people. He emphasizes stops, viewing or reading behavior, likes, comments, and shares—not just shares alone. This is his account of the platform’s distribution process, not a guaranteed rule.
• Create images with Canva or AI: He favors AI-generated images for speed and says prompts can recreate a reference in a substantially different form. He recommends developing a consistent visual identity rather than relying on copied templates.
• Maintain a winners library: Save successful original posts and their performance data. For reposts, use a new caption to give the material a fresh angle.
• Repurpose successful images into Reels: He says popular images can be turned into videos, though his own audience currently responds better to image posts.

Tools and cautions

• He uses Meta Business Suite or posts directly to Facebook. He says he became cautious about third-party tools after receiving what Meta later described to him as a false warning for “inauthentic activity.”
• He describes using Muse AI to find popular Instagram posts and analyze exported Meta Business Suite reports. For one exercise, he asked it to identify image posts earning at least $50 and return links so he could save them for future reposting.
• He warns against removing watermarks or branding from other creators’ images. His recommendation is “copy and adapt,” not copy and paste: learn from what works, but make original content.
• He stresses that templates and design details cannot compensate for a weak idea or poor fit with the audience. Choosing a niche that the creator understands and can serve authentically is central to his approach.

Practical takeaway

The core process is:

Research competitors and trends → identify audience-fit patterns → create original branded content → track results → save winners → selectively repost them with fresh captions.

The presenter frames the earnings and time savings as results from his own experience, not as guaranteed outcomes.

Presenter and sources mentioned

Presenter: Bobby Orr

Platforms and tools discussed: Facebook, Meta Business Suite, Instagram, X, ChatGPT, Muse AI, Canva, and Post Planner.