Paul Grieselhuber - CRO for $M & $MM DTC Brands
1.5K posts

Paul Grieselhuber - CRO for $M & $MM DTC Brands
@rendronx
Scaling 7 & 8-Figure DTC Brands Through CRO. 2-3x revenue without increasing ad spend.
Columbus 🇺🇸 & Trentino 🇮🇹 Katılım Ocak 2024
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Paul Grieselhuber - CRO for $M & $MM DTC Brands retweetledi

My clients have added $500,000,000+ in ARR.
I didn't get there by being the smartest guy in the room.
I spent 4 years inside Amazon. Managed 2,500+ people. Studied how they actually operate at scale.
Then I left and spent the next decade applying it to agencies.
6,000+ of them.
What I found: almost every founder is solving the wrong problem.
I took the whole diagnostic I run with clients — the one that's generated tens of millions — and put it in a PDF to train an LLM to coach you.
Upload it to Claude.
It coaches you through the Amazon process.
Finds your two biggest problems.
Builds a plan to solve them.
Walks you through it step by step.
Comment $$ and I'll send it.

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USA Suppliers changed everything for me.
It allowed me to finally be able to scale without poor fulfillment.
Good suppliers (USA, Fast Shipping, MAP Pricing) are easier to find than you think.
Like + Comment "SUPPLIER" and I'll DM you how I close top tier suppliers
(Must be following so I can DM)

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bing ads is the most ignored money printer in ecommerce right now
900M+ monthly searches, a user base skewing older and wealthier, and most brands aren't spending a dollar there
we made a breakdown doc covering:
- the demographic breakdown of bing users and why they spend more
- ad copy frameworks built for 55+ high-income buyers
- shopping feed setup that actually works on bing
- full campaign structure from launch to scale
- bidding strategies that take advantage of low competition
the platform is wide open. almost nobody is running it properly
like + comment "BING" and i'll DM you the doc
(follow + RT for priority access)

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Your offer is probably costing you more than your ads.
Most brands have:
- Same price as competitors
- Same weak guarantee
- Same boring bonuses
- No urgency beyond "limited time"
I use an offer stack framework with 16 different structures.
Each one mapped to a specific situation:
→ High AOV products
→ Subscription conversion
→ Competitive markets
→ Premium positioning
Like & comment "OFFER" and I'll send the framework.
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My team books 10 qualified calls EVERY day (per LinkedIn account)
That's right, not my sales team. My marketing and ops team.
That's 200+ calls every month.
With just 30 minutes of LinkedIn outreach daily.
That's not normal for manual LinkedIn outreach.
Most people blast generic connection requests and get zero replies.
But we've cracked the code to outreach that consistently converts into booked calls.
Last week, we ran a private session for our entire team AND our clients.
We broke down the exact system live.
Everyone was taking notes frantically.
We recorded it, but we compiled all the insights into a detailed playbook that reveals:
- The exact message sequence that gets prospects to book a call
- How to identify the right people to reach out to each day
- The follow-up cadence that turns ignored messages into conversations
- How to position your outreach so it never feels like cold spam
- The daily 30-minute routine that keeps 10 calls flowing non-stop
All with copy-paste templates you can deploy today.
No expensive tools or paid ads required to scale this.
Want the entire playbook?
1. Connect with me
2. Reply "PLAYBOOK" below
PS - Retweets get priority access to the system
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I just vibe-coded a Meta ads tool that generates 100+ new static ad concepts in minutes 🤯
Pick a product, choose how many ads you want, and the AI creates 100+ unique concepts across completely different formats, not just remixes of one ad.
All inside Claude Code.
Perfect for DTC brands and agencies who are tired of spinning the same 3 ad formats and need net-new concepts at scale.
If you're spending hours briefing designers on new ad concepts, waiting days for a first round, getting back 4 options that all look the same, giving notes, waiting again...
And then doing it all over again next week because you burned through the last batch.
This tool eliminates the entire loop:
→ Ships with 17 pre-loaded concept formats (us vs. them, iMessage-style, bold billboards, authority figures, feature callouts, UGC product-in-hand, and more)
→ Each format has real ad examples baked in so the AI knows exactly what to generate
→ Select your product, load your customer avatars, pick how many ads you want
→ AI auto-selects the best concept mix for your product and audience
→ Preview the full concept plan before anything generates — remove or regenerate anything
No waiting on designers.
No recycling the same 3 templates.
No generating 20 ads that all look identical.
What you get:
→ 17 concept formats out of the box (disable any you don't want)
→ Upload your OWN ad formats with up to 10 examples — the AI learns and scales them
→ Every ad comes with the format, angle, target persona, hook, body copy, and full prompt
→ Multi-brand support with saved brand kits and customer profiles
I recorded a full walkthrough showing the V2 concept generator in action, and I'm sharing ALL the Claude Code prompts I used to build it so you can do it yourself.
Want the prompts + walkthrough for free?
> Like this post
> Comment "STATICS"
And I'll send it over (must be following so I can DM)
@techwithashiqur
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I put together a Native Ad Image Prompt Pack.
20 AI image prompts across 5 niches:
Joint pain / mobility
Skincare / anti-aging
Sleep / supplements
Weight loss
Tech / gadgets
Each prompt comes with a note on why the style works on native (medical illustrations, uncomfortable close-ups, messy real-life scenes).
Copy, paste into NB2 or Stable Diffusion, and you have scroll-stopping creatives in minutes.
Like + reply "PROMPT" and I'll send it over
(must be following so I can DM).
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@satyaa Where can I dump my A100s?
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@TicTocTick I never understood how all the Dubai bros never saw this as the obvious outcome.
Literally 100% guaranteed.
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@rokhladnik we pushed a landing page live right when this happened. customer was like ummmm
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