ROAS PIG Growth Strategy

triple review — two rounds, six independent reviewers — july 2026

Verdict
⚠
All three options miss the actual problem.
The decision is framed as a marketing channel problem, but the actual problem is ROAS PIG has no client results. None of the three options address this.
0
Client Results
6
Reviewers
13
Critical Findings
3/3
Unanimous on #1
The Three Options Evaluated
Rejected
Option A: Volume Platform Play

Flood GPT Store (20-30 GPTs), Open WebUI (30-50 functions), HuggingFace (10-15 Spaces), Make.com templates. Automatable at volume, free, no approval.

Fatal flaw: Same mistake as v1 repackaged. Reaches AI hobbyists, not media buyers. All 3 reviewers flagged independently.

Needs Proof First
Option B: Face / Personal Brand

Yaron goes all-in: YouTube (11K subs), X/Twitter, LinkedIn face-to-camera, podcast guesting on media buying shows.

Problem: Only option that reaches actual buyers, but without client results, the content is theoretical. Media buyers smell vendor pitches instantly.

Straw Man
Option C: Product Focus

Stop marketing entirely. Ship features. Wait for word of mouth.

False binary: Exists to be rejected. Every company does both. "Build it and they will come" almost never works in B2B SaaS.

P0 — Fix Before Anything Else
1

No client results = nothing else matters

All 6 reviewers

ROAS PIG has demos but no verified results from real campaigns. Without proof, every marketing channel is a leaky bucket. Media buyers need: vertical, spend level, CPA/ROAS before/after, time period, whether results held past week two.

I do not trial tools that cannot show me what they did for someone like me. "Demos" tell me nothing. I've seen hundreds of demos. Every tool demos well.
Reviewer C — Media Buyer, $150K/mo
2

Option A is v1 repackaged — same wrong-audience problem

All 6 reviewers

Round 1 killed "volume on platforms that reach beginners" (Quora, Pinterest, Medium). Option A swaps in GPT Store, HuggingFace, Open WebUI — but the flaw is identical. Media buyers don't browse these platforms. The n8n success story doesn't transfer because the audience/platform fit was unique to n8n.

3

The n8n success has never been measured against revenue

Reviewers A, B

The entire case for volume plays rests on "it worked on n8n." But nobody asked: did n8n visibility convert to ROAS PIG paying customers? If it drove "above the fold" placement but no revenue, it's evidence against the strategy, not for it.

4

Strategy ignores every channel where media buyers discover tools

Reviewers B, C

Missing from all options: Twitter/X, Slack communities (Foxwell Founders, Ad World, Ad Buyers Club), peer recommendations, YouTube case studies with real numbers, podcast guesting, newsletters. These are where the $50K+/mo media buyer actually makes purchase decisions.

5

Every platform is actively fighting the proposed automation

Reviewers A, B

Quora shadowbans volume posters. Pinterest penalizes templated pins. Medium downranks AI content. Facebook Groups require admin approval. The GPT Store has changed discovery mechanics multiple times. Building automation against platforms building counter-automation means your infra has a half-life of 2-4 weeks.

6

Volume strategy actively damages credibility with actual buyers

Reviewer C
If I discover ROAS PIG has twelve free tools scattered across four platforms, my reaction is "this feels like a side project." If you can't target your own GTM, why would I trust you to target my ads?
Reviewer C — Media Buyer, $150K/mo
P1 — Should Address
7

11K YouTube subs is below media buyer attention threshold

Reviewer C

Media buyers at the $150K/mo level watch creators with 50K-500K subs. YouTube algorithm doesn't surface 11K channels to people watching established voices. Personal brand takes 18-24 months to reach critical mass. Real — but not a reason to avoid starting.

8

Founders on podcasts get categorized as vendors, not peers

Reviewer C

"I built a tool" immediately shifts the listener from "fellow practitioner" to "someone selling me something." Only works if Yaron is perceived as practitioner first, founder second — which requires sharing genuinely vulnerable, specific results.

9

Figma + GitHub target wrong persona (designers/devs, not buyers)

Reviewers B, C

People downloading Figma ad templates are graphic designers. GitHub repo browsers are developers. Neither has purchasing authority for ad automation SaaS. "People who touch ads" is not the same as "people who buy ad tech."

10

AI tool directories are undersold — the one channel with purchase intent

Reviewer B

theresanaiforthat.com and similar directories get dismissed as "one-time" when they're actually the closest thing to the right audience (people actively looking for AI tools). Table-stakes hygiene, not distribution, but should be optimized properly.

The Missing Option All Reviewers Pointed To
Option D: Free Pilots → Case Studies → Then Market

Get 3-5 media buyers using ROAS PIG on real campaigns. Document the results. Then everything else works.

This is the option that wasn't on the table but every reviewer converged on independently. The proof unlocks every other channel.

What the proof sentence looks like:

This tool generated 847 ad variations for [brand]. The winning hook outperformed our control by 31% over a 14-day test on a $50K/month skincare account. CPA dropped from $24 to $16.50.
The only sentence that converts a media buyer

That sentence, from a verifiable source, is worth more than 10,000 Quora answers, 30 custom GPTs, and 50 HuggingFace Spaces combined. It doesn't exist yet. Only running the product on real campaigns will create it.

How media buyers actually adopt tools

Someone in a Slack group says "I tested [tool], here are my results, it actually worked." Then three other people confirm. Then I try it. That's the entire funnel.
Reviewer C — Media Buyer, $150K/mo

Free pilots create those 3-5 people who say "I tested it" in Slack groups. That's the real distribution channel — not platforms with built-in discovery.

What's Working
  • Willingness to show face is a real asset. Yaron on camera demonstrating real expertise is the trust mechanism that works in B2B SaaS. The 11K YouTube base is a starting platform, not nothing.
  • The n8n success proves execution capability. The skill of building and publishing at scale is real. It's being applied to the wrong channels — but the muscle exists and can be redirected.
  • Self-awareness to run triple reviews before committing. Most founders would have already spent 3 weeks building GPTs. Stress-testing strategy before execution is rare and valuable.
Platforms Researched (with real links)
HuggingFace Spaces — Marketing Niche

huggingface.co/spaces?sort=likes&search=marketing

Top marketing Space: 198 likes. Most have 1-6. Many broken. The niche is empty — but the audience is ML engineers, not media buyers. Low competition = easy to dominate; wrong audience = low conversion.

Open WebUI Community

openwebui.com/search?type=tool  •  Functions

416K members, 290M+ downloads. Exact n8n mechanic (points leaderboard). Virtually zero marketing-specific tools. Audience: self-hosted AI enthusiasts.

OpenAI GPT Store

chatgpt.com/gpts (requires login to browse)

Best audience match of any platform (marketers use ChatGPT daily). But OpenAI has done little to make the store browsable. Discovery is weak. No creator leaderboard. Search "facebook ads" or "ad copy generator" inside ChatGPT to see existing GPTs.

Cursor Directory

cursor.directory  •  Members (81.5K devs)

Clear trending/leaderboard mechanic. Developer audience (wrong ICP for ROAS PIG). Already listed: Ralph Loop plugin at #18 with 67 installs.

Make.com Templates

make.com/en/templates

8,200+ templates. Proven n8n-style playbook. More business users than n8n (closer to buyer). Need to verify if community submission is open or curated.

The Recommended Path
Sequence Matters — The Order Is the Strategy

The current discussion is about Steps 1-3 without having done Step 0. Do them in order. Each step unlocks the next.

STEP 0
Get Proof
3-5 free pilots on real campaigns. Document results.
→
STEP 1
Face + Results
YouTube, LinkedIn, podcasts showing REAL before/after.
→
STEP 2
Peer Spread
Pilot users mention it in Slack groups. Word of mouth.
→
STEP 3
Volume (Optional)
THEN flood n8n/Make/GPTs — now each links to proven product.

Step 0: Get the proof (Week 1-4)

  • Find 3-5 media buyers through personal network, YouTube audience, or direct outreach
  • Offer free access + white-glove onboarding in exchange for permission to document results
  • Run ROAS PIG on their real campaigns for 2-4 weeks
  • Document: vertical, spend level, # variations tested, CPA/ROAS before vs. after, timeline
  • Get a one-sentence testimonial and permission to share publicly

Step 1: Face + Results (Week 5+)

  • YouTube: "I ran 500 ad variations for a $50K DTC brand — here's what happened" (face-to-camera with real data)
  • LinkedIn: Short video clips of actual before/after results from pilot accounts
  • X/Twitter: Thread breakdowns of specific winning ads found by ROAS PIG, with numbers
  • Podcasts: Pitch Perpetual Traffic, Foxwell, Media Buying School with the proof story

Step 2: Let it spread (Ongoing)

  • The 3-5 pilot users are now in their Slack groups, saying "I tested this tool, it actually worked"
  • This is the real distribution channel — peer validation in closed communities
  • Yaron can amplify by being genuinely helpful in Facebook Groups and Reddit (not selling — sharing results)

Step 3: Volume plays become compounding surfaces (Optional, later)

  • n8n / Make.com templates — already proven, now linking to a product with proof
  • GPT Store / HuggingFace / Open WebUI — each tool now has "trusted by X brands" credibility
  • AI tool directories — properly optimized listings with case study links
  • The volume becomes a compounding surface for an already-proven product, not a Hail Mary for an unvalidated one

The order matters.
Proof first. Face second. Volume third.
Everything else is premature optimization.