Noor Uddin | Paid Advertising Expert

Most dropshippers don’t fail because of ads. They fail because there’s no real business behind the store. Ads don’t fix problems. They expose them. Build → Validate → Scale Not: Launch → Spend → Hope Dropshipping isn’t dead. Low-effort thinking is.

Most businesses treat ads like a gamble. That’s why they lose. Quick case: $1,174 spend → 90 purchases → 12.47x ROAS What worked: • UGC-style creatives (felt human) • Clean tracking (better signals) No hacks. Just system. Creative vs Tracking — what matters more? 👇

Most businesses ruin ads early. They start with only Pixel… then add CAPI later. Problem: first 30–60 days = learning phase. Bad data = bad optimization. Then CAPI → system relearns → performance drops. That “growth”? Just better tracking. #MetaAds #PaidAds #Tracking

Stop optimizing for likes. Optimize for CPL. 📉 Most gyms pay $15–$25/lead. We got $8.36 in NYC. What changed: • Better tracking • Simple creatives • Smarter targeting No hacks. Just structure. High CPL = system problem. #MetaAds #PaidAds #Growth

@gaiaaguldina Thanks

@exceptionalnoor Totally agree. Fixing tracking infrastructure like first-party domain and CAPI is key for accurate signals & better ROAS.

Meta Ads struggling? It’s probably not your creative. Missing: • First-party domain tracking • Proper CAPI setup • Pixel deduplication • Clean event signals Weak data → weak optimization → higher CPA. Fix tracking before scaling. #MetaAds #ConversionAPI #ROAS

TikTok Search Ads work. But most people use them wrong. They treat it like Google. It’s not. In-Feed → warms audience Search → captures intent That combo = better conversions (~20% in my tests) Use both or lose opportunity. #TikTokAds #PaidAds #GrowthLeague

Most businesses use TikTok Smart Campaigns wrong. They launch too early. Truth 👇 It’s NOT a testing tool. It’s a scaling tool. No data = no optimization. Smart Campaigns don’t create winners. They scale them. #TikTokAds #PaidAds #GrowthMarketing

🚨 Meta Ads update: “Describe Your Audience” You can now type your audience instead of picking interests. Example: ❌Women interested in jewelry ✅Men looking for a surprise gift Meta is moving → interest targeting → intent targeting This could change ad performance big time

🚨 TikTok launched Search Ads TikTok now allows advertisers to show ads when users search on the platform. That means brands can reach high-intent audiences, not just scrolling users. Benefits: ✅ Keyword targeting ✅ Higher conversion potential ✅ New traffic channel

615 leads at $3.80 CPL for a USA Pickleball business $2,338 ad spend $0.88 CPC 90% landing page view rate What worked? • Lead Gen campaigns • Conversion-optimized landing page • Facebook Pixel + CAPI setup • Creative testing #MetaAds #LeadGeneration #Pickleball

Meta’s Manus AI update is pushing Meta Ads toward full AI automation. It optimizes: • Audiences • Budget allocation • Creative delivery • Conversion signals But here’s the catch: Bad data = bad results.

Running Meta Ads but unsure about ROI? Most ad accounts fail because of weak structure, not bad creatives. Before scaling, fix: • Campaign funnel • Pixel + tracking • Audience layering • Creative testing • Conversion signals Don’t just run ads. Build a system.

Instead of running random ads, we focused on one clear angle. Here’s what happened: 💰 $3,906.09 in ad spend 🛒 217 purchases 📉 $18 per purchase 📈 10.88x ROAS For every $1 spent, the business made $10.88 back.

Most businesses don’t fail because of competition. They fail because the foundation is weak. I’ve seen owners shut down in 3 months — not due to bad ideas, but ignored basics: • Poor website • No market research • Wrong hires • Chasing quick results • No patience

159 gym membership leads in the USA at $9.74 per lead. Most gym campaigns fail because they optimize for traffic, not intent. Structure > Guesswork. Tracking > Assumptions. Creative testing > Hope.

Everyone’s talking about Andromeda. But Meta upgraded more than that. They rolled out: • GEM → real-time ad matching • Lattice → one unified AI brain • Sequence Learning → predictive personalization Meta Ads aren’t reactive anymore. They predict what users want next.

Since March 2025, Meta Ads have felt… weird. ROAS unstable. Random sales spikes. Stronger CPMs. Andromeda might be why. If you’re running ads now, focus on 3 things: 1️⃣ Clean signals (CAPI + Match Quality 8+) 2️⃣ Stable data (stop constant edits) 3️⃣ Creative diversity

Meta quietly changed ads again. They rolled out Andromeda — now targeting is based on behavior, not just interests. Old Meta: “Likes shoes.” New Meta: “Buys red flip-flops, watches videos, shops at night.” If results feel more stable, this is why. Are you adapting?

📊 The Hidden Metric That 3X’d My Client’s Results “Landing Page Views Rate per Link Click.” After digging deeper, I found the real issue: ❌ Slow website speed ❌ Poor mobile optimization We fixed the technical issues with the developer… 📈 Result? Sales increased 3X.