We did too, until we built a cold funnel that 4x’d leads in 5 days.

Here’s why most homepage fail with cold traffic ads:

• SEO-first copy → written to rank on Google, weak message match with ads.

• Generic messaging → tried to speak to everyone, not one ICP

• No clear offer or urgency → no strong CTA, no reason to act now

• Too many exits → nav bar, links, footer etc

Paid traffic is expensive and it needs a controlled funnel. A homepage just isn’t one.

Here’s our cold traffic funnel metrics after 5 days of running ads:

• +400% leads

• 60% lower CAC

• 3.2% booked demo conversion rate (industry average is 1-2%)

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How We Engineered the LP for Cold Traffic That 4x’d Paid Leads

1. Match audience awareness
They weren’t shopping for software. They were stuck in admin pain. The LP spoke to that.

2. Create a category of one
We positioned Rezerv as a Zero-Admin Studio Setup and not another tool.

3. Lead with speed and ease
Cold traffic buys simplicity. We promised live in 24 hours, zero tech needed.

4. Stack proof to reduce risk
Social proof and testimonials focused on fast, easy launches and not product depth.

5. Drive urgency
Real capacity limits (“5 slots this week”) moved studio owners to act.

Where AI Helped?

Here’s exactly how we used AI to go from raw customer data to a cold funnel in 2 days, not weeks.

The workflow:
→ Surface customer insights (synthesis)
→ Generate copy variations (generation)
→ Assemble full pages (assembly)
→ Simulate ICP feedback (feedback)

Synthesis of customer data.
Fed scraped data (G2, Trustpilot, Capterra) into AI to surface patterns in customer pain points, wants, needs, and desires.

From scraping 300+ reviews, AI identified a surprising pain point I hadn’t focused on: ‘wasting hours on WhatsApp back and forth.’ This became our #1 hook on the LP.

Copy bulk generation.
Used AI to generate 10–20 variations of each landing page component such as headlines, CTAs, benefit stacks, and more.

In headline generation, AI consistently gives me better outputs when given customer pain quotes as direct input vs. generic product positioning prompts.

Landing page bulk assembly.
Asked AI to mix and match component variations and output 7 complete landing page drafts with the highest potential.

I noticed that it's best to provide AI with the exact section order to follow. Otherwise it often creates disjointed flows.

Simulated ICP feedback.
Asked AI to roleplay as the target ICP and rate the 7 drafts (1–10).
This surfaced the strongest contenders and gave me a clearer signal on which versions to refine.

Really like using this feedback step as it gives me a fresh ‘pair of eyes’ on the drafts. One small tip: always do this in a clean new chat to avoid context from affecting the results

Where the human (me) came in.

I selected the top 3 drafts based on scores.

Then hand-picked the best components across them to build the final landing page that was launched to paid traffic.

AI gave me the drafts. But choosing to lead with admin pain, position Rezerv as a category of one, surface proof of ‘launch in 24 hours,’ and downplay deep product features, that was 100% human judgment.

Lessons

Not every part of this was AI-driven.

The biggest lift came from structuring the LP to match audience awareness and making the offer feel faster, easier, and safer.

AI helped us iterate faster and surface stronger combinations, but the core marketing principles still mattered most.

Wrap Up: Fundamentals First, AI Second.

This wasn’t about some AI trick.

It was about doing the fundamentals right, audience, narrative, offer, proof and using AI to speed up what works.

So business owners and solo marketers doing it all themselves can skip the guesswork… and copy what actually works.

→ I drop one of these 10xPlaybooks 🚀 every week, don’t miss the next.

John

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I scraped 33,567 viral FB posts so I didn’t have to.

Using Apify, I pulled posts from niche-specific Facebook Groups tied to the product I was marketing.

After filtering, I kept the top 100 most engaged posts.

• Fed them into ChatGPT.

• Extracted emotional hooks, CTAs, angles.

• Tested 7 of them.

Best performer? 4.82 ROAS - on day 1.

No guesswork. Just market-native insight turned into ads.

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The System: How I Extracted 7 Ad Angles From 33,567 Posts

4 step process: Scrape → Sort → Analyze → Adapt

Step 1: Scrape

I used Apify’s Facebook Groups Scraper to scrape public group posts from 8 niche communities relevant to my product.

Once the scraper was set up, I ran a batch crawl collecting 33,567 posts across 9 different Facebook groups with timestamps, likes, comments, and post content.

Here’s what it looked like inside Apify:

You can export this in JSON, CSV, or straight to Google Sheets, ready for cleaning and sorting.

Step 2: Sort

ChatGPT can’t process 33,567 posts at once so I needed to trimmed the input.

I sorted the data by total engagement (likes + comments + shares), then filtered down to the top 100 posts, each with at least 500 likes.

This gave me a high-signal shortlist. Real posts, with real traction, written in the language of the niche.

Step 3: Analyze

With the top 100 posts selected, I fed each one — text + image — into ChatGPT.

For every post, I asked it to extract:

• The emotional angle (e.g. fear, hope, nostalgia)

• The hook structure

• The CTA style (explicit or implied)

Including the visual helped ChatGPT understand tone, context, and why the post may have performed.

This turned raw community content into structured, testable ad angles.

Step 4: Adapt

Once ChatGPT broke down the angles, I asked:

“How can I turn this post into a high-converting ad for [my product]?”

ChatGPT then rewrote each post while keeping the emotional core, but adapting the copy to fit my offer, product, and funnel.

I repeated this across all 100 inputs and shortlisted 7 ad angles worth testing.

The result? 4.82 ROAS on day 1.

🧠 Why I Think This Worked

Most winning Facebook ads don’t feel like ads.

They look like content you’d naturally see in your feed. Native, emotional, scroll-stopping.

By scraping niche-specific Facebook groups, I wasn’t guessing.

I was pulling real content that had already gone viral while written in the voice of the community, with visuals that blended naturally into the feed.

That gave me two key advantages:

1. Visual cues that didn’t look like stock ads

2. Ad angles based on real conversations and emotional triggers

Instead of writing from scratch, I adapted what was already working organically and made it fit the product.

⚙️ Building It Into a Repeatable System

This isn’t a one-time workflow.

It’s something I can automate to run monthly.

• Use n8n to trigger a monthly job

• Call the Apify API to scrape new FB group posts

• Sort by engagement → keep the top 100

• Feed them into ChatGPT to extract fresh ad angles

• Output to Google Sheets or Airtable for review and testing

Each run gives me a new batch of angles based on what’s gone viral in the past 30 days.

No more guesswork.

Just a working system that mines your niche for proven angles, again and again.

Wrap Up: AI Isn’t the Shortcut. Data Is.

AI can’t think for you. But it can distill huge datasets into usable, testable insights if you feed it the right inputs.

That’s why data collection is now a core marketing skill.

Not just for analysts, but for every marketer using AI to write, test, or optimize.

The marketers who win won't be the ones prompting harder.

They’ll be the ones who own their inputs and build systems around them.

So business owners and solo marketers doing it all themselves can skip the guesswork… and copy what actually works.

→ I drop one of these 10xPlaybooks 🚀 every week. Don’t miss the next.

John

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I didn’t touch the creative.
Didn’t change the targeting.
All I did was rewrite the copy, using a framework from Eugene Schwartz.

The results?

• 🤯 CTR (all): +114%

• 🔥 Unique Outbound CTR: +109%

• 🚀 ROAS: +48%

I call this approach framework marketing.

Find a proven copy framework (eg: Eugene Schwartz’s breakthrough advertising). Use it as a prompt in ChatGPT on your ad copy and let the magic happens.

Steal this 10x Playbook I use.

Generate high-performing ad copy in 1 prompt, backed by 67 years of results.

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🧠 What Is Framework Marketing?

Most people write ad copy from scratch.

That takes time and it rarely works (unless you are direct response copywriting trained).

Framework marketing is faster.

You take a proven framework, like one from Eugene Schwartz or Gary Halbert
and use it as a starting prompt.

Instead of reinventing the wheel, you:

• Plug your product into a battle-tested framework

• Prompt ChatGPT with it

• Polish the output & not build from zero

Frameworks give you:

• Message flow that matches buyer awareness

• Headlines and hooks that tap into existing desire

• Way less guesswork

🎨 Before vs After Breakdown (Structure Fix)

I can’t show the original ad copy from my friend's campaign.

Here’s how I applied the Schwartz framework in a sample rewrite:

• Awareness shift: Spoke to a problem-aware audience who knows about paint safety but not the hidden risks.

• Made it visceral: Swapped “toxins” for “the air your kids breathe” and “that tickle in your throat.”

• Emotional outcome: Moved from features to “peace of mind in every room.”

Here’s how I applied the Schwartz framework in the rewrite:

• Matched message to “Problem Aware” stage

• Used a fear-based emotional hook: invisible toxins

• Shifted benefit from surface (paint lasts longer) to core desire (protect your family

📚 How to Use This Yourself in 1 Prompt

Prompt:

Bonus #1: Localise the tone

Sometimes, ChatGPT output seems a little too… American. You can adjust it to local context using this line:

“Contextualise the copy to the local (Singapore) market. Keep it clean, no Singlish.”

Bonus #2: Add more emotional pull

Emotional copy always converts better. You can dial up the emotional response easily. If the output feels flat, just layer this on:

“Make it more emotional.”

You’ll be surprised how well this works especially for family, health, or safety-related products.

Desire Mapping Cheat Sheet

🔔 What Framework I Like? (and Why I Keep Going Back to Schwartz)

Every time I run this prompt:

“Rewrite this copy using Eugene Schwartz’s framework.”

I get back something better not because the language is fancier… But because it finally taps into what the customer already wants.

Great ads don’t invent desire. They channel mass desire into a product people already want to say yes to.

It’s not just “awareness stages” and copy structure.

It’s knowing which desire is already burning in your customer’s mind and matching it.

So when I rewrote that paint ad?

I didn’t talk about the product. I talked about a parent protecting their family from invisible air toxins.

Same offer. Different desire.

That’s why I keep going back to Schwartz.

His framework helps you skip the guesswork and speak straight to what people already feel.

🤯 Real Life Results

Drumroll...

I didn’t touch the creative. Just rewrote the copy using Schwartz’s framework.

Can’t share the exact ad (competitive niche), but the results speak for themselves:

All from just restructuring the words.

🎁 Bonus: 5 Copy Frameworks That Still Work in 2025

A quick list of timeless copy frameworks to try:

• Eugene Schwartz (awareness-level alignment)

• Gary Halbert (pain → story → relief)

• Claude Hopkins (demonstration-led proof)

• Joe Sugarman (line-by-line curiosity)

• David Ogilvy (benefit-first ad flow)

❗️Disclaimer

This prompt won’t write world-class copy for you.

But it will get you 60–70% of the way there.

Which for a time-starved marketer or business owner juggling 10 other things, is often more than enough.

You’ll get structure. You’ll get clarity. You’ll get a head start that’s way better than staring at a computer.

The rest? That’s where you come in.

So business owners and solo marketers doing it all themselves can skip the guesswork… and copy what actually works.

→ Save $5K. Gain a workflow. I drop one of these 10xPlaybooks 🚀 every week — don’t miss the next.

John

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