# Comment “Learn” and I’ll send you a link to my ads course. Source: https://www.youtube.com/watch?v=I6AGl5V6D8o Recap page: https://rapidrecap.app/video/I6AGl5V6D8o Generated: 2026-01-07T17:33:10.502+00:00 --- ## Quick Overview The speaker, drawing from 10 years of ad experience, advises advertisers to avoid relying solely on platform reps, utilize bulk advertising tools for scaling, know their CPA/CPA for scaling, leverage AI tools like ArcAds.ai, and always test creatives against their own biases by reviewing competitor ads. **Key Points:** - Platform ad reps' primary goal is to maximize user spending, so advertisers should always question their advice. - For scaling past running only one or two ads per week, advertisers need a bulk ad tools system (like those mentioned: Make.com, Kitchen.io, Airtable) to manage hundreds of ads efficiently. - Advertisers must know their Cost Per Acquisition (CPA) or Cost Per Registration/Sale to determine when to scale and avoid the learning phase ending prematurely. - Utilize AI tools like ArcAds.ai, ChatGPT, Claude, or Midjourney/Runway for brainstorming ad creatives, but never use AI output for the final product without human review. - Analyze competitor ads by looking at their Facebook Ad Library engagement (likes, shares) to gain inspiration, but avoid copying them directly. - The best ads blend seamlessly into the feed, making the user forget they are viewing advertising, which separates them from ads that only seek direct response. - If you are selling a product requiring direct response (like impulse buys or affiliate offers), you should avoid a top-to-bottom media buying approach and instead focus on aggressive testing. ![Screenshot at 00:04: The speaker, holding a microphone close to his face, introduces the video's premise: sharing 10 years of advertising tips derived from spending over $150 million on ads.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-00-04.jpg) **Context:** The speaker, an experienced advertiser, offers ten years' worth of distilled advertising tips, focusing heavily on strategies for scaling campaigns, managing ad fatigue (the 'rip current'), and effectively utilizing current tools like AI and competitor analysis in the digital advertising landscape. ## Detailed Analysis The speaker shares ten years' worth of advertising wisdom, emphasizing that advertisers should maintain skepticism towards platform representative advice, as their goal is maximizing ad spend, not necessarily advertiser success. For scaling operations beyond a few ads per week, the speaker stresses the necessity of using bulk advertising tools (like Make.com, Kitchen.io, or Airtable) to manage large volumes of ads and iterations efficiently. A critical metric for knowing when to scale is understanding your CPA (Cost Per Acquisition) or equivalent metric (Cost Per Sale/Registration); if you run out of budget before hitting the minimum required conversions (like 50 conversions in a 7-day window), the learning phase is prematurely ended, which is detrimental. The speaker strongly recommends leveraging AI tools (naming ArcAds.ai, ChatGPT, Claude, Midjourney, Runway) for brainstorming creative ideas, but warns against using raw AI output for final ads; instead, use them for inspiration and then refine. Furthermore, advertisers must actively review competitor ads in the Facebook Ad Library to understand what resonates, as good ads often solve basic human needs (like clothing, food, laughter, money, time) and blend into the organic feed rather than screaming 'advertisement.' Finally, the speaker advises against relying on rigid funnels (top-to-bottom media buying) and urges advertisers to build their own team of UGC freelancers or leverage tools like Gridbank.io to manage ad assets effectively, ensuring they test creatives against their own biases. ### Platform Relationships - Question platform reps who aim to get you to spend more - You likely have more experience buying than low-level reps pushing new features. ### Scaling Strategy - Use bulk ad tools systems (Make.com, Kitchen.io, Airtable) when scaling hundreds of ads per month - Know your CPA/CPA to avoid prematurely exiting the learning phase. ### Creative Development - Use AI tools (ArcAds.ai, ChatGPT, Claude) for brainstorming - Never use final AI creative output without human review. ### Competitive Analysis - Review competitor ads in the Facebook Ad Library for engagement cues (likes/shares) to generate better ideas - Don't get stuck being too 'on-brand'—test crazy ideas. ### Optimization & Testing - Test creatives you personally wouldn't click on - Avoid a rigid top-to-bottom funnel for direct-response products. ### Automation & Team Building - Build your own army of UGC freelance creators - Use tools like Gridbank.io for automation processes like bulk creation, editing, and reporting. ![Screenshot at 00:04: The speaker, holding a microphone, introduces the topic of sharing 10 years of ad tips based on $150M in ad spend.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-00-04.jpg) ![Screenshot at 00:25: Text overlay highlights the point about utilizing bulk advertising tools when scaling campaigns.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-00-25.jpg) ![Screenshot at 00:44: The speaker mentions specific AI tools like ArcAds.ai and the importance of enabling event duplication.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-00-44.jpg) ![Screenshot at 01:24: Visual emphasis on the necessity of knowing your CPA or Cost Per Sale before scaling daily budgets.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-01-24.jpg) ![Screenshot at 05:57: The speaker demonstrates the ASMR quality of the microphone, explaining why people like ASMR.](https://ss.rapidrecap.app/screens/I6AGl5V6D8o/00-05-57.jpg)