How to Use Ad Libraries to Spy On Competitors & Create Winning Ads With Ease

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1:04Welcome back, everyone. Today, we're tackling something e-commerce marketers are constantly wrestling with, finding ads that actually convert and then creating your own without burning through your budget. How do you know what's working before you spend a dime? That's the million dollar question, right? And honestly, it's why advertising example libraries have become such a big deal. Think about it. You've got access to millions of ads that competitors are actively running. You can see what scaling, what formats they're using, what hooks are getting attention. It's competitive intelligence at your fingertips. So instead of guessing, you're essentially looking over their shoulder. What kind of scale are we talking about here with these libraries? We're talking massive. Some platforms now offer libraries of real ads across Facebook, TikTok, Google, basically everywhere your audience is scrolling. And the real value is in the filtering. You can narrow down by niche, by performance benchmarks like roasts, even by

2:07creative style. So if you're selling skincare, you can see exactly what's working for other skincare brands right now. That filtering piece is huge because if you're just drowning in millions of ads with no way to sort them, you're back at square one. How do marketers actually use this intelligence once they find a winning ad? Great question. So once you identify a high performing ad, the next step is transcription and script analysis. A lot of tools now let you transcribe video ads automatically, pulling out the hooks, the body copy, the calls to action. Then you can recreate those proven frameworks with your own product. Marketers have reported saving significant time, often hundreds of hours a month on ad research alone because they can instantly grab winning scripts instead of manually coming through ads. Hundreds of hours? That's almost a full-time employee worth of time saved. And I imagine speed matters a lot when trends shift so quickly. Exactly. Speed is everything. If a competitor is scaling an ad format and you spot it early,

3:10you want to test your own version fast. That's where AI-powered creative production comes in. Instead of bouncing between research tools, design tools, copywriting tools, you can generate video scripts and ad images all in one place. It cuts down that time from research to execution dramatically. So you're saying the gap between finding inspiration and actually launching your own ad is shrinking. That point about creative production speed sets up our next piece. How AI transforms those insights into ready-to-test campaigns? But first, a quick word from our sponsor. This episode is brought to you by Get Hook Dell LC. Get Hooked is an all-in-one AI creative tool that lets you spy on competitor ads, search over 23 million high-performing ads across platforms, and create your own winning creatives in minutes. Filter by niche and Roas benchmarks, generate video scripts with AI, and build ad images in seconds. Stop wasting ad spend and start scaling profitably with a seven-day free trial at Get Hooked.ai. Picking up on creative

4:16production speed, how exactly does AI help you go from a competitor's ad to your own high-performing creative? So the workflow is pretty smooth now. You find an ad that's working. Maybe it's been running for weeks and you can see it's actively being scaled. You pull the transcript, feed it into an AI script generator, and it recreates the structure with fresh angles customized for your product. Some systems are even prompted by eight-figure direct response marketers, so the copy frameworks are already battle-tested. Right, that makes sense. And what about the visual side? Yes, so copy is one thing, but ads need images or video too. AI tools can now produce ad visuals matched to your branding campaign goals in seconds. You can experiment with different styles, colors, avatars, basically generate dozens of variations from a single concept. It's like having a design team on demand. That's wild, so you're not just copying what works.

5:17You're remixing it, testing variations, and scaling what performs. What about the folks who are worried that all this AI-generated stuff might feel generic? That's a fair concern. Some users have noted that AI scripts can need heavy editing to sound authentic, especially for UGC style video ads. The key is using AI as a starting point, not the finish line. You still want to inject your brand voice, tweak the angles, and test multiple versions. I actually worked with an e-commerce client last year, who found around 10 potential winners within a few hours of testing these AI features. They were skeptical at first, but the speed convinced them. The AI just gets you 80% of the way there in a fraction of the time, but real people are still essential. Yes, speed and volume matter, but you still need that human touch to make it resonate. Let's talk about this Brand Spy feature I keep hearing about. What does that actually let you see? Brand Spy is essentially your backstage pass to a competitor's entire marketing strategy. You can see their top performing

6:22ads, their landing pages, traffic sources, basically their whole funnel, and the smart part is it focuses on ads that are actively being scaled, not just running. So you're looking at what's profitable for them right now, not what they tested once and abandoned. Platforms that use this feature are onto a winner. That distinction matters. There's a big difference between an ad that ran for two days and one that's been scaling for months. How do these platforms determine what's actually winning versus just active? They use performance scoring based on actual ad behavior rather than vanity metrics. So instead of just likes or comments, they're tracking things like ad longevity, frequency, and whether spend is increasing, it gives you confidence that the ads you're studying are genuinely effective. One user mentioned it was much faster than manually searching the meta ad library, which can be pretty tedious. Or as I like to say, it's like searching for a needle in a

7:22haystack, except the haystack is also made of needles. Ha! Yeah, I've been there scrolling endlessly through the meta library trying to spot patterns. So to everyone listening, have you ever spent hours digging through ad libraries only to come up empty handed? Exactly. And here's the thing. Once you find those patterns, you want to save them. Modern tools let you save your favorite ads forever even after they go offline. You can organize them by niche, format, performance. It becomes your own personal swipe file that you can reference anytime you need creative inspiration. Building your own library of proven winners. That's smart. Now let's talk about testing. Because even with all this research, you still need to test multiple creatives, right? Absolutely. High volume testing is critical. The beauty of these AI tools is they let you generate dozens of ad variations quickly. Different hooks, different visuals, different angles. Then you can

8:23run data-driven tests to see what actually moves the needle. Some platforms are even rolling out predictive analytics that give you insights in minutes instead of waiting days for AB test results. I see. Go on. Yeah, that's the direction things are heading. Instant feedback loops mean you can iterate faster, kill the losers earlier, and double down on winners. The focus is improving rows without the traditional trial and error waste. And honestly, for leany commerce teams, founders, CMOs, marketing specialists, that efficiency is everything. Makes sense. You mentioned rows a few times. What kind of improvements are people actually seeing when they use these research and AI tools together? It varies, but commonly reported improvements includes stabilizing rows as you scale ad spend, cutting acquisition costs by around 24 percent, and speeding up creative production by 10X or more. The key is you're making informed decisions instead of guessing. In other words, you're seeing what's already working in your niche and adapting it, rather than reinventing the

9:26wheel every time. You're working smarter, not harder. So the old way was throwing spaghetti at the wall. The new way is studying what stuck for others and cooking that dish yourself. I love that analogy. And the best part? A lot of these platforms offer free trials, seven days sometimes longer, so you can test the approach without committing. That's reassuring. Any final advice for someone who's just getting started with competitor ad research and AI-powered creative? Start with clarity. Know your niche, know your goals. Then search the ad libraries with specific filters. Don't just browse aimlessly. Save the ads that resonate, transcribe the scripts, and use AI to generate your own variations. Test fast, learn fast, and iterate. The tools are there to eliminate the guesswork, but you still need a clear strategy. Clarity, speed, and iteration. That's a solid framework. Thanks so much for breaking this down today. Really insightful stuff. My pleasure. Always happy to talk about making ads

10:30work smarter. And to all our listeners, if you want to dig deeper into competitor ad strategies, and AI-driven creative, definitely check out the show notes. Until next time, keep testing, keep learning, and keep scaling. Guys, it's no use putting it off. The best time for an underwear refreshes now. Tommy John underwear is designed for a perfect fit that stays put all day. There's zero shape thanks to four times more stretch than competing brands, and their innovative horizontal quick draw fly is a game changer. With over 30 million pairs sold, there are thousands of men out there more comfortable than you. Don't settle for less. Go to TommyJohn.com today for 25% off your first order with Code Comfort. That's TommyJohn.com. Code Comfort. Tommy John. Comfort. Perfected. And Doug, there's nowhere I wouldn't go to help someone customize and save on

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