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Ola Mike Esan's avatar
Ola Mike Esan
Lagos, Nigeria
Facebook(Meta) & Google Ads Expert | AI Automation
5.0
Rating
14
Followers
Facebook(Meta) & Google Ads Expert | AI Automation
Cover image for Okay so I need to
Okay so I need to talk about how I'm making UGC ads now, because it's honestly kind of ridiculous how easy this has gotten. If you've ever tried to get UGC ads made, you know the pain. Booking actors, briefing agencies, waiting days, paying way more than you wanted to. I used to think that was just... the cost of doing business. Turns out it's not anymore. Here's what I've been doing instead, the whole thing runs inside one Claude conversation. No creative tools, agency, or ten tabs open at once. Just two connections: Meta and Arcads. Let me break down how it works. Step 1: Research first, always Before generating a single ad, I use Claude and other Premium tools to pull my top performing ads from the last 30 days, then search the web for what's currently working best in my product category. What creative formats are getting impressions, what hooks are driving engagement, and what patterns keep showing up in winning ads. And this is the step almost everyone skips. It's exactly why so many AI-generated ads flop, people jump straight to generation with zero signal on what actually converts. Research first means your first test isn't a guess. It's informed. Step 2: Turn research into scripts Once I've got the research, I hand it to Claude with a specific brief: act as a senior performance marketer, here's my product, here's who it's for, here's the platform. Then I ask for scripts built around real pain points, hook, problem, solution, proof, CTA, all timed out. And I get Claude to score each one and only keep the ones that actually hit. This part used to take me hours of back and forth with a copywriter. Now it's minutes. Step 3: Generate the actual creative So this is where Arcads comes in, it's basically got every major AI video/image model in one place, so I'm not paying for five different subscriptions. I generate an actor image first (with my product reference attached so nothing gets weird or off-brand), approve it, then turn it into a video with the script from step 2 dropped straight in. Small tip that saved me a lot of wasted spend: always fix issues at the image stage, before it becomes a video. It's way cheaper, and way faster. Step 4: Launch without leaving the chat Once the videos are ready, I'll upload them straight to my Meta account through the same conversation. Then I just tell Claude what I want, campaign objective, budget, targeting, in plain language. No Ads Manager or manual setup. And here's the part that actually changes how you test: after a few days, I just ask Claude which ad is performing best and to show me why. It pulls the live data and explains it in plain English. No exporting reports, no spreadsheets. Step 5: Double down Once I know the winner, I ask for more variations of it, same actor, new scripts and the loop just keeps going. Every single round gets a little smarter than the last. The honest truth is this doesn't just save time, it changes the economics entirely. You're not paying agency rates, you're not waiting on turnaround times, and you're testing with actual data. If you're not at a scale where an agency makes sense yet, this is genuinely one of the best ways to get high output without needing a big team or a big budget. Don't forget to hit follow, I'm breaking down a new ad strategy or workflow every week, and you don't want this to be the last one you catch. 👀
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Cover image for Ad Management & Campaigns (Facebook | Google-YouTube).
Ad Management & Campaigns (Facebook | Google-YouTube).
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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 I'll change the way you
I'll change the way you think about Google Ads... Don't be GOLD FISH, read it through!!! A friend called me recently in a total panic. He'd just spent $3,000 on Google Ads and got absolutely nothing back. Zero leads. Zero sales. Just gone. And of course, his conclusion was "Google Ads is dead." I hear this a lot. And honestly, I get why people believe it. But let's actually talk about what's true here, because there's a real difference between "Google Ads doesn't work" and "MY Google Ads didn't work", and almost everyone mixes those two up. Here's the honest part first: Google Ads has genuinely gotten harder. More competition, higher costs per click, way more automation, less manual control than it used to have. If you're running it the same way you did 5 years ago, you will lose money. That part is real, not made up. But here's what actually happened when I looked into his account, and it's the same pattern I see over and over: → No conversion tracking set up at all. Google was spending completely blind, no idea what was actually working. → Broad match keywords on a tiny budget, so ads were showing to people with barely any relevant intent. → Generic ad copy, the kind that could describe literally any business in any industry. → Zero negative keywords, zero ad extensions. → The campaign ran for 6 weeks and nobody had looked at the search terms report once. None of that is Google's fault. That's a setup problem, and setup problems are fixable. Here's the thing that really gets me: most people who say "Google Ads doesn't work" tested one bad setup, once, for a few weeks, and quit. That's like going to the gym twice, not seeing abs, and telling everyone fitness is a scam. Nobody thinks that way about fitness, everyone accepts it takes skill and consistency. Google Ads is exactly the same. It's a skill. It can be learned. It just LOOKS deceptively simple from the outside, and that's exactly what traps people. And honestly, some of what Google's automated over the years is genuinely good, smart bidding can process signals no human could ever track manually. The automation isn't the problem. The problem is people hand control over to the algorithm before giving it anything useful to actually learn from. Like hiring a great chef and handing them an empty fridge. Here's what we actually did to fix my friend's account, none of it cost extra: ✓ Set up proper conversion tracking for the first time ✓ Went through the search terms report and built a real negative keyword list ✓ Rewrote the ad copy to speak to an actual specific problem, not generic fluff ✓ Tightened match types ✓ Added sitelinks, callouts, a location extension Same budget. Same platform. Within 6 weeks, more leads than the previous 6 months combined. The platform didn't change. The approach did. Here's the real takeaway: if you tried Google Ads once and it flopped, don't write off the platform, write off the version of yourself that ran it that first time. You know more now. Most competitors are still stuck obsessing over match types and bid tweaks while ignoring whether their offer or landing page is even any good. If you're willing to actually understand this at a strategic level instead of just clicking buttons, you're already ahead of most people running ads right now. Follow along, more real breakdowns like this coming. 👀
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Digital Marketer(2)
Fawaz Opeyemi's avatar
Fawaz Opeyemi
Abuja, Nigeria
Shopify Store Design | Marketing Systems & AI Automation
8
Followers
Shopify Store Design | Marketing Systems & AI Automation
Cover image for Social Media Shop Setup —
Social Media Shop Setup — Instagram, Pinterest & Facebook Set up fully functional social media shops across multiple platforms for two e-commerce brands, a plant-based wellness and clean eating brand (The Plant Prep Co), and an organic skincare brand (Natural Embrace). Each platform was configured to showcase products directly within the social profile, making it easy for followers to browse and buy without leaving the app. Facebook and Instagram Shops were set up with a dedicated shop tab and product catalogue linked to the brand's inventory. Pinterest was configured with a business profile, product pins, and shoppable content connected to the store. The result was a seamless multi-platform shopping experience that turned social media profiles into active sales channels.
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Cover image for Google Analytics 4 Setup for
Google Analytics 4 Setup for Shopify Store Set up and connected Google Analytics 4 to a Shopify store, integrating it with Google Merchant Center for full visibility across store performance. The setup included activating the GA4 property, connecting it to the store's data stream, and verifying the live connection so the store owner could track visitor behaviour, traffic sources, and sales performance in real time. Google Merchant Center was also confirmed active, approved and ready for Shopping. The client went from operating with zero tracking data to having a complete, accurate analytics system running from day one.
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Cover image for Shopify Product SEO Optimisation Completed full
Shopify Product SEO Optimisation Completed full on-page SEO optimisation for a Shopify store's product catalogue. Each product was assigned a targeted focus keyword aligned with buyer search intent, and meta tags were structured to improve visibility on Google search results. Products optimised included skincare and wellness items such as serums and deodorants, each requiring distinct keyword strategies to target specific audiences. The result was a store with a clean, keyword-rich SEO structure across all products built to rank for the terms buyers are actively searching for.
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Cover image for HIGH-CONVERTING SHOPIFY STORE DESIGN I built
HIGH-CONVERTING SHOPIFY STORE DESIGN I built a complete Shopify store for dropshipping and affiliate products that are simple to use, easy to manage, and designed to help customers buy without confusion. The main goal was to create a clean store that looks good, works well on mobile, and makes it easy for visitors to go from seeing a product to buying it. What I did: -Created the Shopify store from scratch -Designed a simple and clean layout -Added and organized products into collections -Wrote and arranged product pages in a way that is easy to understand -Set up navigation so customers can find products quickly -Made sure the store works well on mobile phones -Added basic trust elements to make the store look reliable -Set up a simple checkout process to avoid drop-offs -Structured the store for both dropshipping and affiliate products Result: A clean and easy-to-use Shopify store that is ready for traffic and built to help turn visitors into customers.
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Digital Marketer(3)
Emmanuel Godspower's avatar
Emmanuel Godspower
Lagos, Nigeria
Creative graphic designer specializing in impactful branding
5.0
Rating
13
Followers
Creative graphic designer specializing in impactful branding
Cover image for Omizzy Press Kit Design
Omizzy Press Kit Design
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Cover image for ChopBeta Brand Identity Design
ChopBeta Brand Identity Design
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12
Cover image for Be Magnified Wellness Branding
Be Magnified Wellness Branding
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11
Cover image for The Album Club Logo Design
The Album Club Logo Design
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10
Digital Marketer(2)
Etuken Idung's avatar
Etuken Idung
Nigeria
I’m like a movie writer for online entrepreneurs.
5.0
Rating
1
Followers
I’m like a movie writer for online entrepreneurs.
Cover image for Copywriting for Sight'O'Cap Eye Supplements for AirTook Emporiu
Copywriting for Sight'O'Cap Eye Supplements for AirTook Emporiu
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Cover image for MLM Sales Funnel Copywriting for Dr. Emmanuel Brush
MLM Sales Funnel Copywriting for Dr. Emmanuel Brush
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Cover image for Website Copywriting for eCoClean Ltd
Website Copywriting for eCoClean Ltd
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Cover image for Normalize Glucose Levels Naturally
Normalize Glucose Levels Naturally
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Digital Marketer(3)