Freelance Meta Ads Experts in LagosFreelance Meta Ads Experts in Lagos
AI Product Ads & Cinematic Short-Form Video
5.0
Rating
16
Followers
AI Product Ads & Cinematic Short-Form Video
Cover image for Official Advertising Concept for OCI
Official Advertising Concept for OCI Group (OCIG) For this project, I created a 30-second cinematic advertising concept for OCI Group (OCIG), designed to communicate the brand’s expertise in engineering, technical investigation, precision, and problem-solving through a short visual story. The concept follows a clear progression: problem → investigation → testing → solution → brand reveal. Rather than creating a traditional corporate advertisement with heavy narration or text, I wanted the visuals themselves to communicate the work. The ad begins with a technical/structural problem and follows a team of engineers as they investigate the situation, inspect the damage, perform technical testing, operate equipment, and work toward a professional solution. I used a fast-paced, accelerated visual style to make the engineering process feel active and engaging. Heavy machinery, tractors, tools, inspection equipment, and the engineers themselves create constant movement throughout the video, giving the advertisement the energy of a professional engineering/construction time-lapse while maintaining a realistic and premium corporate feel. A major focus was also placed on sound design. Instead of using background music, the concept relies entirely on diegetic sounds from the work itself machinery, tractor engines, drilling, tools, footsteps, measurement equipment, metal movement, and the natural industrial environment. This makes the viewer feel closer to the actual engineering process and keeps the advertisement grounded and believable. The final section slows down after the intense engineering activity and transitions into a clean, minimal OCI Group logo reveal, giving the advertisement a strong and memorable ending. The overall creative direction was built to make OCI Group feel professional, technically capable, precise, reliable, and solution-focused, while presenting the brand in a modern cinematic advertising style. This is an official advertising concept created for the brand, with the intention of demonstrating how engineering services can be transformed into a visually engaging brand story rather than simply presenting information.
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Cover image for The Water You See Isn't
The Water You See Isn't Always the Water You Should Drink Water can look perfectly clear and still contain things we cannot see. This 30-second cinematic concept was created to turn that simple insight into a visual story. The film follows a single drop of water from its journey through nature into an environment where hidden contaminants become part of the story. Although the water still appears clear, the viewer is taken beneath the surface to reveal the unseen problem. The narrative then transitions naturally toward the solution: water purification. Rather than beginning with the product, the concept first establishes the problem, helps the viewer understand it visually, and then introduces the product as the natural answer. Creative Structure Scene 1 - The Journey A single water droplet travels from the sky into a natural stream. Scene 2 - The Hidden Problem The water still looks clear, but the invisible world beneath the surface reveals why appearance alone is not enough. Scene 3 - The Solution The water enters a purification system and emerges clean, ending with a premium product hero shot. Creative Objective The goal was to demonstrate how AI-generated video can be used for more than visually impressive content. This concept combines: Cinematic storytelling Educational advertising Product visualization Problem-to-solution narrative structure Continuous scene continuity AI-powered commercial production Final Message CLEAR DOESN'T ALWAYS MEAN CLEAN. TRUST WHAT YOU DRINK.
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Cover image for 🍊 From a seed to
🍊 From a seed to a glass of fresh orange juice created as one cinematic story with AI. I wanted to experiment with something different. Instead of creating a random AI video, I wanted to tell the complete lifecycle of an orange in just 30 seconds. The challenge was making everything feel connected. So I broke the story into 3 separate 10-second scenes: 🌱 Scene 1: A seed breaks open underground and grows into a young orange plant. 🌳 Scene 2: The same plant continues growing into a mature orange tree, producing flowers and eventually green oranges. 🍊 Scene 3: The same orange ripens, gets harvested, sliced open, and transforms into a refreshing glass of orange juice. The most important part wasn't just generating the scenes. It was prompt continuity. For every scene, I carefully instructed the AI to: → Continue from the exact final frame of the previous scene → Maintain the same environment and lighting → Keep the same plant and eventually the same orange → Maintain the same camera language and visual style → Treat all three clips as one continuous story I also designed the audio progression so the music would feel like it was building throughout the entire 30 seconds, instead of restarting after every clip. The result? Three separate AI-generated videos that come together to tell one complete story: SEED → PLANT → TREE → FLOWER → FRUIT → JUICE. This is something I'm beginning to enjoy more about AI filmmaking. It's not just about typing a prompt and generating something beautiful. The real creative work is in thinking about the story, continuity, transitions, camera movement, and how every generated scene connects to the next. AI is becoming a powerful creative tool. But the storytelling still starts with the person behind the prompt. 🍊🎬 #AIVideo #AIFilmmaking #GoogleFlow
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103
Digital Growth Architect | 14x ROAS Framework
5.0
Rating
13
Followers
Digital Growth Architect | 14x ROAS Framework
Facebook(Meta) & Google Ads Expert | AI Automation
5.0
Rating
13
Followers
Facebook(Meta) & Google Ads Expert | AI Automation
Cover image for Facebook Ads Targeting Just Changed!
Facebook Ads Targeting Just Changed! Here's What It Means… Meta just quietly rolled out a new AI targeting feature, and I think it's more interesting for where it's heading than what it actually does right now. Let me break it down. Inside Ads Manager, at the ad set level under detailed targeting, some accounts now have a new option: "Describe your audience." Instead of manually scrolling through interest categories trying to guess the right ones, you literally write a description, up to 2,000 characters, of who your ideal customer is, and Meta's AI generates relevant detailed targeting suggestions based on that. For example: "small to medium business owners currently running their own Meta ads" or "in-house performance marketers running ads for large corporations." You paste that in, hit generate, and it spits out targeting categories that match. Full disclosure, when I tested this live, it was buggy and didn't generate anything. Worth flagging because new Meta features often roll out rough before they're stable. But I'd tested it earlier and it worked fine, and honestly the suggestions were solid, it even surfaced targeting options I didn't know existed, despite having run ads on my own business for years. Here's the honest take on where this stands right now: in its current form, it's mostly just a time-saver. It helps you find relevant categories faster and might unearth options you'd missed. But detailed targeting itself has become far less influential in how Meta actually decides who sees your ads compared to a few years ago, everything you select is treated more as a "suggestion" than a hard rule these days. But here's why I think this feature actually matters long-term: I'm confident this evolves into something bigger. Right now, your description gets translated into pre-existing categories. Eventually, I'd expect Meta to skip that translation step entirely and target directly off your description , letting you get incredibly specific instead of being boxed into broad existing categories. Think about the difference between "people interested in marketing" (a huge, vague category) versus "in-house performance marketers running Meta ads for large corporations" (a tiny, precise group that's exactly who you want). If Meta can eventually target that specifically, you could reach far fewer people, spend less overall, and get equal or better results, because you're not paying to reach anyone outside your actual audience. This would likely mean higher cost per impression for that hyper-specific audience (great for Meta's revenue), but potentially much stronger ROI for advertisers who know exactly who they're trying to reach. Worth keeping an eye on. If your account has this feature, it costs nothing to test it and see what it surfaces, even in its current limited form, it might reveal targeting options you've been missing. Follow along, I'll keep you updated as this rolls out further. 👀
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Cover image for Running Meta Ads is EASY
Running Meta Ads is EASY Once You Understand This With everyone's feed getting flooded with obvious AI-generated content, there's one strategy that's actually working better than ever right now, and it's the exact opposite of AI slop: using real creators in your ads. Here's why this matters. Nobody's favorite creator is AI-generated. People trust real humans they already follow, not generic content. So instead of fighting that, you lean into it, you partner with creators who already have your audience's attention and trust, and you use that in your ads. The ad format for this is called Partnership Ads. It's when a creator's profile and your business's profile are both tied to the ad, so you're tapping directly into their audience, the people who are already primed to pay attention because it's coming from someone they follow. And the data backs this up hard: partnership ads see a 13% higher click-through rate and a 71% higher brand lift compared to regular ads. That's not a small bump, that's a meaningfully different result. Here's how to actually find the right creator and make this work: 1. Know your audience first, then match the creator to them Don't just pick whoever has the biggest following. Pick someone your specific target audience already follows and trusts for that topic. A creator can have millions of followers and still be the wrong fit if their audience doesn't overlap with your buyers. Relevance beats reach every time here. 2. Use the Creator Marketplace to shortcut the search It analyzes your business account and suggests relevant creators automatically. Start with the ones already actively doing partnership ads with other brands, they're more likely to respond, and if brands are already spending budget with them, there's a good chance it's working. 3. Send outreach through the platform, not cold DMs Generic "we'd love to work with you" messages get ignored, especially by bigger creators drowning in inbound. Messaging through the Creator Marketplace routes into a separate inbox that creators actually check for business inquiries, way better response rate. 4. Get usage rights, not just a post This is the part people skip. A creator posting once to their own audience gets you a short burst of visibility, most of the value disappears within 24 hours. But if you negotiate permission to run their content as paid ads, you can keep leveraging their trust and face for months, sometimes years. Often costs little to nothing extra to add this in. 5. Work with a few creators, not just one Results can vary creator to creator. Start with 2-4 rather than betting everything on a single partnership. Increases your odds that at least one significantly outperforms your standard ads. 6. Be specific about some things, flexible on others Be crystal clear on the call-to-action and the hook structure (ask for multiple different openings/hooks so you get more usable creative variations). But let the creator write their own script and delivery, they know how to talk to their own audience better than you do. Don't over-direct the creative itself. One more thing worth checking before you partner with anyone do your due diligence. Have they talked about your product category before? Was it positive? Any past controversy that could reflect on your brand? Worth a quick check before committing. Bottom line: in a feed full of obviously-AI content, a real trusted face recommending your product is one of the strongest scroll-stoppers left. Worth testing even with a modest budget. Follow along, more of these breakdowns coming. 👀
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294
Cover image for This is not about a
This is not about a targeting fix or a bidding hack, it's about something a lot of advertisers refuse to consider. Let me tell you about a client I took on. This business had ads that used to work really well. Solid return on ad spend, consistent sales, all built around one product, a bestseller that was great for bringing in new customers. Then slowly, over time, results just... died. Not overnight. Just a steady decline until they were unprofitable across the board. The obvious answer would be "ad fatigue, right? Just refresh the creative." Except they'd already done that. New ads, new angles, tested regularly. Still declining. So something else was going on. Here's what I found when I actually dug in: the reviews for that hero product weren't great. Not terrible, just... "fine." "A bit disappointing." "There are better alternatives." And they had direct competitors selling something very similar, with better reviews. That gap was quietly killing their ability to acquire customers, no matter how good the ad creative was. So here's the uncomfortable truth in this: your ads don't operate in a vacuum. People don't just click and buy blindly anymore. They check reviews, they ask a friend, increasingly they'll even ask ChatGPT "is this actually good, or is there something better?" And your ad is only as strong as what happens when someone goes looking for a second opinion. There's also a compounding effect most people don't think about, negative word of mouth spreads faster and harder than positive word of mouth. One bad experience gets told to friends, who tell their friends. It snowballs quietly in the background while you're staring at your ad account trying to figure out why performance dropped. The real question isn't "is my product good?" It's "is my product better than the alternative someone can find in 30 seconds of searching?" That's the actual bar. So what do you actually do if this is happening to you? → Go straight to your reviews; the bad ones AND the good ones. Bad reviews tell you exactly what to fix. Good reviews tell you what to lean into and emphasize more. → Don't scale spend on a product with mediocre feedback. It just accelerates the negative word of mouth. Fix the product experience first, then pour fuel on it. → If one part of your range has strong reviews and another doesn't, consider shifting your ad budget toward what's actually earning trust, rather than what's just good at grabbing initial attention. In this case, the fix wasn't a new campaign structure or a smarter bid strategy. It was telling the client to stop aggressively pushing the one product with weak reviews and shift toward products people were actually raving about. Painful short-term call. Completely turned the account around. Sometimes the biggest lever in your ad account isn't in your ad account at all. Follow along, more real breakdowns like this coming. 👀
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Cover image for User behavior on Facebook and
User behavior on Facebook and Instagram has genuinely shifted, and if you're still tracking your ads the old way, you're probably underestimating how well they're actually working. Here's the stat that stood out to me: Gen Z is twice as likely to make a purchase WITHOUT ever clicking on the ad. Doesn't mean the ad didn't work, it means the journey from ad to sale got messier. Here's what's actually happening: someone sees your ad, doesn't click, and instead goes and checks reviews, searches for the product on Google, looks up a creator they trust in that niche, maybe hunts for a discount code, then eventually buys, completely separate from that original ad interaction. The ad still did its job. It just doesn't get credit for it. And this creates a real problem: if your tracking only counts click-through conversions, your ad account is going to massively under-report your actual results. You'll look at your numbers, think a campaign isn't performing, and either kill it or fail to scale it, when in reality it's working way better than what you're seeing. Here's what actually helps: Turn on view-through attribution, not just click-through Inside your ad set settings, there's an attribution window setting. Most accounts default to click-through only. Add view-through (max window is 1 day) so you're at least capturing people who saw the ad, didn't click, but converted shortly after. It's not a perfect fix, attribution windows used to be way longer, but it captures more of what's actually happening. Set up Conversions API, not just the Meta Pixel Most advertisers stop at the Pixel. But Conversions API does a much better job matching purchases to your ads when the customer journey isn't a straight line, which, as we just covered, is becoming more the norm, not the exception. If it feels technical, this is a cheap, easy thing to outsource on Upwork or Fiverr, well worth it for the data accuracy alone. Consider proper attribution software if you want full visibility For a true picture of what your ad spend is actually generating (including delayed or indirect conversions), third-party attribution tools give you a level of accuracy Meta's own reporting just can't match on its own. The bigger picture here: this trend is only going to grow. More people, not just Gen Z, are getting into the habit of double-checking things before they buy. Reviews, trusted creators, even asking AI tools "is this actually good, or is there something better?" That means two things matter more than ever going forward: your tracking needs to catch up to how people actually behave now, and your actual offer/reviews/reputation need to be genuinely strong, because verification before purchase is becoming the default, not the exception. Follow along, more of this kind of breakdown coming. 👀
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185
Shopify, Framer & Replo Dev | Marketer & B2C Sales Expert
5.0
Rating
112
Followers
Shopify, Framer & Replo Dev | Marketer & B2C Sales Expert
Result-Driven UI/UX & Web Designer, Framer, WordPress, Leads
$1k+
Earned
1x
Hired
5.0
Rating
34
Followers
Result-Driven UI/UX & Web Designer, Framer, WordPress, Leads
Digital Marketer | Performance & Ads Specialist
10
Followers
Digital Marketer | Performance & Ads Specialist