cara gw dapat 44 juta modal ngonten. (bukan tiktok affiliate / produk digital)

Summary

Roger Mac explains how creators can earn from user-generated content (UGC) without having a large audience. In the model he describes, brands pay creators for their ability to make promotional content—not for access to their followers.

UGC model and formats

• Influencer endorsement: A brand pays a creator to publish content to their own audience, drawing on the creator’s reach and audience trust.
• UGC: A brand pays a creator to produce content the brand can use for promotion. The creator may not need to post it on their own account, so follower count is less important.
• Common formats:
  • Talking-head videos: A creator delivers a scripted promotion.
  • App demos: The creator shows an app in use, often in a tutorial or documentary style rather than as a direct sales pitch.
  • “Brain rot” or comedy videos: Unusual, fast-paced, or humorous clips featuring an app or AI product. Mac says some can be produced quickly and still attract substantial views.

Mac’s examples mainly involve AI and language-learning apps, which he says are actively spending on marketing.

Monetization and reported metrics

• Fixed rate: Mac’s first Perplexity AI deal paid $25 per video (about Rp420,000, as stated in the presentation). The brief called for five videos in a week, with different hooks and a shared body message. Payment did not depend on views.
• Base payment plus performance incentives: His Pingo AI arrangement paid $20 per video, with additional bonuses tied to view milestones. He mentions thresholds of 50,000, 100,000, and 300,000 views. The subtitles also say “500 views,” which may be an automatic-caption error for 500,000.
• View-based payout: Mac describes another common setup in which payment becomes available after reaching a specified cumulative view count.
• Mac says he earned about $600 from five Perplexity campaign batches. The subtitles do not specify the exact number of videos in each batch.
• He says brands contacted him when his accounts had relatively small audiences: roughly 3,000–4,000 TikTok followers when Perplexity approached him, and about 1,500 followers on another account. He also describes videos that typically received around 500–600 views, alongside occasional viral posts.
• Examples shown or mentioned include clips with roughly 200,000 views and other UGC examples with over one million views. These illustrate reach, not guaranteed earnings.

How he got brand deals

• Perplexity AI contacted Mac through his active social account after seeing his content. The campaign targeted Indonesian students and included a student-discount message.
• Pingo AI approached an older account and asked him to create a separate account focused on language-learning content.
• Mac says the Perplexity campaign later stopped; it was not a long-term, one-year contract.

Practical playbook for getting started

• Start publishing to build proof of skill. Use posts to demonstrate camera confidence, lighting, editing, and an understanding of engaging content.
• Treat social accounts as a portfolio. A formal portfolio can help, but relevant published videos can already show brands what you can make.
• Choose a relevant content angle. Mac’s language-related videos helped make him visible to language-learning AI brands.
• Make a simple portfolio when useful. He suggests including brand collaborations, example videos, and available performance figures such as views.
• Evaluate offers based on their terms. Mac generally does not use a rate card; he considers the proposed per-video fee and any view-based incentives.
• Do not assume virality is required. His account had modest follower counts and many low-view posts, yet brands still approached him for content production.

Risks and outlook

Mac warns that AI-generated UGC is becoming increasingly realistic and could increase competition or replace some creator work. He offers no firm forecast, but says the opportunity is currently active and recommends taking advantage of it while it lasts. He also notes that app-based UGC can be operationally simpler than physical-product promotions, which may require shipping products.

Sources and presenters

Roger Mac is the presenter. Examples discussed include Perplexity AI and Pingo AI. The subtitles reference Google for a basic definition of UGC. The video title mentions Rp44 million, but the supplied subtitles do not explain or substantiate that figure.