AI is Reshaping Marketing: How to Make Viral UGC Ads in Under 10 Minutes

Have you ever been scrolling through social media and captivated by a user-generated video recommendation that seemed so genuine you immediately clicked the buy link? That feeling is like a friend telling you about a recent treasure they’ve found, full of sincere surprise and trust. But what if I told you that the “real-looking” review video that just made your heart skip a beat could have been made entirely by AI in under ten minutes?

This isn’t science fiction; it’s a revolutionary reality that is reshaping the digital marketing landscape. Imagine this: no long casting calls or script revisions, no expensive production gear or endless post-production cycles. With the power of AI, you can produce high-quality ads that rival the work of top-tier KOCs (Key Opinion Consumers). This “industrial assembly line” approach to content creation has been adopted by dozens of brands with seven, eight, and even nine-figure revenues, becoming their secret weapon for market domination.

This is more than just a tool upgrade; it’s a battle for “trust” and “efficiency.” Traditional UGC ads rely on real people, making them costly, slow, and difficult to scale at scale. AI, on the other hand, by learning the language, emotions, and micro-expressions of real humans, now creates content that can genuinely move people with unprecedented realism. If you want to master this essential skill for the future of marketing, then join us as we unveil this entire efficient AI advertising workflow.

A Data-Driven Source of Creativity: Extracting “Hooks” from Competitors

No successful ad comes from nowhere. Before unleashing the power of AI, we must do our “reconnaissance” to give our creativity a solid foundation.

Step 1: Choose Your “Ultimate Weapon” Product. In the video, the creator chose Kylie Cosmetics’ face moisturizer. This wasn’t random; it was a carefully selected “ultimate challenge.” The cosmetics and skincare category, especially face moisturizers, has an extremely high production bar. Consumers are incredibly sensitive to the real feel of a product (like freshness, greasiness, or ingredient effects). Any tiny inauthentic detail can ruin the entire ad. Therefore, if AI can excel in this category, its performance in others will be more than sufficient.

Step 2: Mine Competitors for “Golden Templates.” Your competitors, especially those who are one step ahead of you, have already done most of the market testing for you. Your job is to infiltrate their “ad arsenal” and find the most effective, proven “hooks."， The creator carefully selected two ad hooks from brands called “Native” and “Lei”:

“People have been raving about this, and I finally decided to try it out for myself, and I can confidently say it’s unreal.” (This leverages social proof and word-of-mouth).
“What if I told you I know a product that’ll make you smell like candy all day long? Well, you’re looking at it.” (This leverages curiosity and a strong sensory promise).

Step 3: AI-Powered “Transcription and Copywriting.” How to quickly and accurately get the scripts for these ads? This is where Google Gemini shines. You can upload these ad video files to Gemini and give it the command: “Please provide a word-for-word transcript of this video.” Gemini will quickly transcribe all the dialogue. But this is just the beginning; the real magic happens next. Feed the raw transcript from Gemini, along with the detailed information, features, and ingredients list from your product page (the creator pasted all the details from the moisturizer’s page), to Claude. Claude is currently one of the best AI copywriters. You instruct it: “Based on the product information and the two successful ad scripts I’ve provided, write 3-5 different styles of KOL/UGC ad scripts for my brand. The tone must feel very natural, as if a real user is sharing.”

Through this process, you no longer get some dry descriptions, but market-vetted, data-supported, ready-to-use “killer” script drafts. For example, Claude might generate a script like: “I’ve been seeing this Kylie Cosmetics moisturizer everywhere lately, and I finally caved and got it. You guys, I’m obsessed. It has shea butter and sodium hyaluronate, and my skin has never felt this soft…”

The Actor’s “Virtual Factory”: The Magic of Arc Ads

With the perfect “script,” the next step is “casting” and “filming.” This is where AI UGC generation platforms, like the Arc Ads platform emphasized in the video, truly shine. Arc Ads boasts a massive and ever-growing library of AI actors who can read any script with high realism.

Core Method 1: Record Your Own “Voice Seed” (Speech-to-Speech). This is the method for achieving the highest possible quality. Instead of using Arc Ads’ text-to-speech, you record the script yourself. Using a recording device (or Arc Ads’ built-in function), record the exact tone, intonation, pauses, and emotion you want. For example, record: “You guys, I’m obsessed. It has shea butter…” This audio becomes a high-quality “seed.”

Core Method 2: Precisely Select a “Virtual Actor.” In Arc Ads, your task isn’t to “find” a perfect actor, but to “filter” from a massive library. You can use the filters on the left to narrow down by gender, age, and appearance (as emphasized in the video, to showcase the moisturizer’s “non-greasy” feel, you need an actor with clear, glowing skin). Add your favorites to a “favorites” list, then click to listen to their voices one by one. Eventually, you might lock onto an actor like “Sandra,” whose voice and vibe are the best match for your “voice seed.”

The Art of Scaling through Generation and “Remixing.” Here comes the most critical step: once you’ve generated an ad using a combination like “Sandra + your voice seed” or any “actor + script” and verified it performs well, you can launch true “scalable creation.” Arc Ads’ built-in “Remix” function is the engine of this model. You just need to:

Change the Actor: Select the same script and your voice seed. In the “Remix” function, switch the actor from “Sandra” to “Talia” or any other favorite. Arc Ads will instantly use Talia’s voice to read your script exactly the same way, creating a second, third, etc., version of the ad.
Change the Voice: Select the same actor (e.g., Sandra), but in the “Remix” function, replace it with a brand new audio file recorded by you or someone else. This gives you another version of Sandra speaking different lines.

Through this simple action, you can create an infinite number of actor-voice combinations from a single script, with the only cost being the platform credits consumed at generation (usually 1 credit per video). This means when you discover a “hero” creative in Meta (Facebook) ads, you can, in minutes, batch-create 10, 20, or even more variations for your test library, finding the next “super hero” as quickly as possible.

Build Your “Ad Flywheel”: From Testing to Scaling

Just creating ads isn’t enough; knowing how to launch and test them is what unlocks their true commercial power. This is backed by a strategy known as the “ad flywheel,” which is gospel among top-tier e-commerce sellers.

Creative Incubator (Prospecting CBO): You create a new testing campaign in Facebook Ads Manager with CBO (Campaign Budget Optimization). Within this campaign, every time you upload a new batch of 4-8 AI UGC creatives, you create a brand new “ad set” (called a “Pack” in the video, e.g., “Pack 1,” “Pack 2”). This allows you to clearly test the performance of different “Packs” or batches of creatives.
Discover and Promote the “Star Creative”: When an ad (e.g., the Sandra version from Pack 1) performs exceptionally well in your prospecting campaign, exceeding your ROAS target, you must act immediately. Copy this “star creative” and “publish” it to a brand new, separate “Scaling” campaign.
The Core Engine (Scaling Campaign): This “Scaling” campaign has a very simple structure: 1 ad set, using Broad Targeting (Advantage+), Optimization for “Maximum number of conversions,” and the Conversion Event set to “Purchase.” The sole purpose of this campaign is to use the “star creative” that has been validated by the market for maximum, uncapped reach to acquire new customers.
Reinvest and Iterate: Feed your “star creatives” back into Arc Ads for “remixing,” generating more variations, and then sending them in a new “Pack N” to the prospecting campaign for further testing. Every new star that emerges from the prospecting campaign is then moved to the scaling campaign.

This creates a virtuous cycle (the ad flywheel): Creative Incubation → Testing → Scaling → Re-Incubation. Every quarter’s ad spend is invested in this flywheel, constantly creating new growth engines within your Meta ad account.

From “Creative Lab” to “Growth Flywheel”: The Foundational Infrastructure for Scalable Marketing in the AI Era

When your marketing business grows from a small workshop to a brand matrix, you’re no longer just handling one Kylie Cosmetics project. You might be creating, testing, and launching AI UGC ads for three different skincare brands, two apparel brands, and one food brand simultaneously. Your prospecting campaigns might have 10 different “Packs” at once, each testing 4-8 different actor-script combinations.

This presents a severe reality: all of these tasks—from scripting and transcription to Arc Ads remixing and Facebook ad creation and monitoring—are almost certainly being done on the same device through the same browser. This means all your backend activities share the same browser fingerprint, the same IP address, and the same digital environment. To platforms like Facebook and Google, all these actions are attributed to a single “operator.”

This creates two core risks:

Account Security Risk: When you conduct large-scale, high-frequency A/B testing within one account, you can easily be flagged by the platform’s algorithm for “abnormal activity,” leading to stricter scrutiny, ad account restrictions, or even bans. This is why top advertisers always set up separate, isolated testing environments for every project.
Data Contamination and Inefficiency: You cannot perform a pure A/B test in a clean, isolated environment. For example, you can’t ensure that cookies generated for Brand A don’t have an unknown impact on the performance of Brand B’s ads. Furthermore, frequently switching between messy tabs and windows1 leads to errors and inefficiency.

FlashID Fingerprint Browser becomes an essential tool for every AI marketing operator precisely for these professional, highly scalable marketing needs.

One “Independent Studio” per Project: With FlashID, you can create a completely isolated, highly realistic digital environment for each brand or project. For example, you can create one FlashID for the “Kylie Project,” containing only pages, Arc Ads projects, and Facebook ad backends related to Kylie. Create another, separate FlashID for the “Levi’s Project.” This level of physical isolation not only fundamentally eliminates the risk of “account association” but also provides a pure, distraction-free “sandbox” for testing each project. You can aggressively A/B test within the “Kylie Project” without any risk of impacting the stable operation of the “Levi’s Project.”
Efficient A/B Testing and Batch Management: FlashID’s RPA automation scripts can free you from tedious, repetitive tasks. You can write a script to have FlashID automatically execute a loop task: Log into Project A’s Arc Ads account, “remix” the “star script” to generate 5 variations, and upload them one by one to Project A’s Facebook “Prospecting Pack 2.” Then switch to Project B… This kind of batch, automated operation boosts your efficiency by several orders of magnitude, allowing you to focus more on strategy and creative optimization.
Global Monitoring and Team Collaboration: Using FlashID’s window sync feature, a marketing director can monitor the progress of different projects across multiple FlashID windows on a single display. The conversion data from “Kylie Pack 1,” the breakout actor from “Levi’s Pack 3,” and the generation progress of a new script for the “Food Brand” are all in view. This provides a “God’s eye view” of overall control, dramatically improving team decision-making efficiency and transparency.

In summary, Arc Ads and Google Gemini are your “creative paint and brushes,” allowing you to draw stunning ad masterpieces. FlashID is the “sterile lab and efficient assembly line” for building your top-tier AI marketing studio—it provides a secure, isolated, and standardized creation and testing environment, allowing your “ad flywheel” to spin rapidly, stably, and safely in a complex market.

Frequently Asked Questions (FAQ)

Q: Can AI UGC ads really build emotional connections and trust with consumers like real-person ads can?
A: This is precisely the key development in AI UGC. Early AI voices and expressions were stiff, but new-generation AI actors, represented by platforms like Arc Ads in the video, can now simulate very natural tones, intonations, and even subtle human-like laughter, hesitation, and pauses. By learning from massive amounts of real UGC data, AI has mastered the “real” linguistic paradigm. Consumers may not know it’s AI, but they will instinctively feel the “sense of surprise” and “trustworthiness” conveyed in the video, which is the core of conversion rates.
Q: Besides skincare products, to which other types of e-commerce products can this workflow be applied?
A: Its application range is extremely wide. Any product that relies on “usage scenario” and “authentic word-of-mouth” to drive conversions is a fit. For example:
- Electronics: “I’ve been using this coffee maker for three months now; it’s my morning ritual.”
- Home Goods: “This storage box has truly saved my messy drawers, what a surprise!”
- Apparel & Accessories: “I’ve been carrying this bag for months, not only has it not broken, but it’s getting better with age.”
- Food & Beverage: “This is my Nth time repurchasing; no one can resist this flavor!”
- The key is to choose competitors whose marketing logic is similar to your product category.
Q: When writing the script, why provide “all” the information from the product detail page to Claude? Won’t this make the script sound too much like an ad copy and not natural?
A: This is the key difference between experts and novices. The more detailed information you provide, the better Claude can extract the “benefits” and “trust points” that consumers genuinely care about—points you, as an insider, might easily overlook. For example, in Kylie’s moisturizer, you might say “hyaluronic acid,” but Claude might package it more impactfully as “94% of people said their skin softened with just one use.” Ultimately, Claude only gives you a “draft.” You need to, as demonstrated in the video, record it in your most natural voice to remove any potential written feel from the AI expression, making it 100% conversational.
Q: Besides Arc Ads, what other good AI UGC platforms can you recommend? What are the differences between them?
A: There are other excellent platforms on the market, such as Synthesia and HeyGen. Each has its own focus:
- Arc Ads: As emphasized in the video, it is very focused on “UGC style” and its “actor library,” and its “Remix” feature is a core strength, making it perfect for quickly creating ad variations.
- Synthesia: Leans more towards “enterprise-level training” and “product introductions.” Its virtual presenters are very professional and steady, suitable for creating more formal, high-quality brand videos.
- HeyGen: Has unique advantages in “digital human avatar customization” and “video translation.” You can create a dedicated virtual brand spokesperson and have their videos translated into multiple languages.
- Simply put, Arc Ads is the “ad production factory,” Synthesia is the “corporate video expert,” and HeyGen is the “virtual human and multilingual expert.”
Q: Is the voice I record on my own computer better than AI-generated voices? If I only use AI speech, won’t it be cheaper?
A: When pursuing ultimate results, your own voice is always the “#1 seed.” Because only you know your target consumers best and what kind of tone they are most used to hearing. Your voice is authentic and trustworthy. Of course, if you’re not suitable for being on camera, or if you have multiple target audiences, the quality of Arc Ads’ built-in AI voices is already very high and can fully meet the needs, while the cost is indeed lower (0 recording cost, only consumes generation credits). Both can be tested in combination.
Q: At the end of the article, it mentions using Google VEO-3 to generate custom scenes. Does this mean that in the future we can completely move away from Arc Ads’ actor library?
A: Without a doubt, this is the future trend. “Text-to-video” models like Google VEO-3 are developing at a breakneck pace. In the future, you won’t be limited to a fixed actor library; you’ll be able to set your own scenes, characters, and actions. For example, in the Kylie Jenner case, although current technology has its limitations, in the future you might be able to input: “A young girl confidently using Kylie Cosmetics moisturizer in a sunlit bathroom,” and generate a perfect, cinematic ad clip. This will be another leap in content creation.**
Q: Besides Arc Ads and AI models, what other investments do I need to make to build this workflow?
A: Your main investment will be time to learn and optimize the entire process. On the hardware side, you’ll need a computer that can run browsers smoothly. For recording, a USB microphone for a few dozen dollars can greatly improve audio quality. On the software side, besides the AI platforms, you might also need an MP4/MP3 editing tool (like CapCut or DaVinci Resolve) for fine-tuning and stitching the final AI-generated videos, and for adding your logo and other brand elements.
Q: In the “ad flywheel” strategy, why separate the “prospect” and “scaling” campaigns? Can’t you test within a single campaign?
A: The goals and logic of these two campaigns are completely different, and keeping them separate prevents interference.**
- Prospecting: The goal is “to test and learn.” It needs to explore multiple audiences and creative combinations; the data model is designed to find the “optimal solution.” This process is chaotic and high-cost. The system will automatically budget to ads that look promising, but there will be few stable conversions initially.
- Scaling: The goal is “to consistently harvest.” It only uses “star creatives” that have been validated and the broadest audience, aiming for the maximum number of conversions and sales. This process is stable and uncapped.
- Keeping them separate is like building the “R&D center” and the “production factory” together, which leads to messy management and data contamination. Separated, the prospecting team is responsible for “prospecting for ore,” and the scaling team is for “mining it.” The logic is clear and efficient.
Q: I’m a marketing specialist working for a company with strict policies against using tools like FlashID. Can I use a VPN or regular browser tab groups instead?
A: In a large corporate environment, compliance with regulations is the top priority. Typically, companies will establish dedicated ad accounts and managed devices to avoid such risks. Regular browser tab groups or a VPN can provide a certain level of isolation, but in terms of security, stability, and ease of management, they are on a completely different level compared to professional tools like FlashID. FlashID provides an enterprise-level secure solution with “multi-environment, high-isolation,” which is often a more recognized standard within a large company’s compliance framework.
Q: I’m only running one or two small brands with low ad spend daily. Is it still necessary to use such a “heavy-duty” tool as FlashID?
A: It depends on your goals. If you are “just running one or two small brands” and are content with the status quo, then FlashID might be a bit of “overkill.” However, if your future plan is to grow these small brands into big ones or to manage a matrix of them, then FlashID is an investment in your “future infrastructure.” It ensures you establish secure, professional operational habits from the start, avoiding catastrophic losses (like an account ban) from “non-standard operations,” and lays a solid foundation for your future scalable expansion. The cost of prevention is far lower than the cost of remediation after the fact.