Jake Abrams

I help 7-9 figure DTC brands with revenue & CAC | I write The Process, a newsletter about modern growth marketing | Sold 100K+ personal cooling devices

Consumer Marketing & Growth Leader.  

Brands I've worked with:

Caraway
Jones Road Beauty
Skylight
Canopy
Insurify
Naked Wines
Rugiet
Sundays For Dogs
Momofuku
Sunday Lawn Care

100+ others

Book a discovery call in the featured section below 👇

Founder

The lean DTC growth marketing partner that I wish existed when I was an in-house marketing lead. 

At Odyssey, we help 7 & 8-figure DTC brands increase revenue & ROAS by finding the right combination of:

- Messaging
- Audience targeting
- Media channel allocation
- Creative

https://www.growodyssey.com/

Comfrt Clothing, Frost Buddy, and Underbrush are all using the same strategy to consistently go viral on TikTok while building massive creative pipeline.

Some marketers call it "nichemaxxing." I've created a 19-page playbook to help you deploy the exact same strategy for your brand.

Here's what's inside the Brand Nichemaxxing playbook:

- 4-tier content matrix from AI to hero content
- PDA framework for building micropersonas
- Full tech stack: Higgsfield, Genviral, Octo, Snowball, Discord, etc...
- Creator outreach templates that actually get replies
- Cost structures for every creator tier
- Winner selection framework for scaling organic to paid

The idea is simple: own the interest graph first, then amplify with paid.

Most brands do it backwards. They spend on ads before they understand what resonates.

This playbook walks you through 6 phases: niche definition, account setup, content architecture, creator recruitment, production rhythm, and measurement.

Get the 19-page playbook for free. No email gate. Just take it and use it.

1. Follow me
2. Like this post
3. Comment "playbook" and I'll send you the link.

Nichemaxxing across paid & organic social for 8-9 figure consumer brands | Writing about AI & advertising | Sold 100k+ personal cooling devices

This AI agent analyzed 12,500+ customer reviews and support tickets for an 8-figure DTC brand, created its own documentation for overcoming objections across hundreds of SKUS, then just started doing it...directly on the PDP.

Using AI like this can mean the difference between a 2.8% CVR and a 1.7% CVR. 

Essentially an agent that lives on your site, is trained on your catalog and every meaningful customer touchpoint, that can answer every question in 20 seconds or less.

These agents can handle conversion killers like:

Product fit: "Will this luggage fit in Delta's overhead bin?"
Comparisons: "Hard shell vs soft-shell for business travel?"
Technical specs: "Does it have 360° spinning wheels?"

I'm giving away the an 8-minute Loom video showing use cases for this type of agent, plus a guide to setting this up on your Shopify site in 15 minutes.

To get the video and guide:

1. Connect with & follow me
2. Comment "agent" below
3. I'll DM you the link

#DialogPartner

undefined undefined

The smartest people at Meta will tell you to build ads around motivators, not just micropersonas. 

I like this shift to motivators, because it forces you to start the creative process from a better spot.

Personas make you think about demographics. You end up with a bulleted list about a fictional human named Sarah who likes yoga and shops at Whole Foods. Nothing about that tells you what makes Sarah pull our her credit card and spend $150. 

Motivators do, though. 

When I do creative strategy now, I start by mapping out the actual motivators behind someone would buy or be interested in a brand. 

So for Sarah, maybe it's "I need an outfit that works for the December holiday party."

Then for each motivator, you map one core benefit that delivers the solution. That way, you build the creative around that feeling, not around "Sarah."

Then I do it for another motivator. And another....

By the time you've worked through 4-5 of them, you've got a full portfolio of creative assets, each built around a different reason to buy. Different themes, different visuals, different emotional angles. All for the same product.

That's the part people miss, I think. You're not trying to reach different types of people. You're trying to speak to different reasons to take action. A single product can have five completely different ads that all make total sense.

I feel like that's how you scale creative without running out of ideas or making yourself crazy with format multiplication.

Turn 35 today. Sheesh.

Here are 35 takeaways I have from the last 6 years as a "non-business" person building a business with 30+ people:

1. Expect daily disappointment
2. It's ok to be demanding if that's the clear standard
3. The ideas in your head are smart
4. Respect the audience's attention
5. Show undeniable proof
6. Work with challengers
7. Build systems for 50x output
8. Stay on the forefront of technology
9. Extreme bias for action
10. Creative generalists win now
11. Get over fear of speaking to your phone
12. AI + bad taste = epic fail
13. Rip structures, use original thoughts
14. Incentives drive everything
15. Pretty much everyone is winging it
16. Overcome initial content creation friction
17. Grow your own accounts first
18. Authenticity on Zoom is a superpower
19. Daily follow-ups with blockers, Mr Beast style
20. Work should feel like video game
21. Non-business people build differently
22. Ideas die without proper execution
23. Attention is the most sacred currency
24. Charge more than feels comfortable
25. Comfortable teams ship mediocre work
26. Systems unlock exponential output
27. Tech resistors always lose
28. Speed + direction = unfair advantage
29. Generalists are more important than specialists
30. Loom videos beat meetings
31. Tools don't fix shitty taste
32. You can only get so far ripping other's ideas
33. It's ok to start ugly
34. Practice what you preach, or else you're a fraud
35. Build leverage before you need it

---

Feel free to follow along as I document the path to building a $10M+ agency in 2026 by helping 50+ brands manifest the next era of paid social.

https://lnkd.in/epcpxd4V

I built a 250-video visual script library application in a day with Replit, Airtable, and Gemini. 

So I recorded an 8-minute Loom video outlining the entire process. 

I'm not an engineer. I did run marketing for a coding bootcamp, and maybe that experience helped me overcome the fear of "being technical."

Here's what I cover in the Loom video:

- Why my Airtable database was useless until I made this
- How I used Replit to put a visual frontend over raw data
- The hover-to-play feature that made this actually usable 
- How it auto-analyzes any TikTok or Dropbox link in ~60 seconds
- The prompt I use to extract hooks, transcripts, and full scripts
- How we use it to rewrite winning ads for new brands
- The N8N nightmare I replaced with this

I've been in marketing since 2013 and run a creative agency working with 50+ brands. This is the internal tool I wish I had years ago. 

Want the full 8-minute Loom walkthrough?

Follow or connect with me
Like this post
Comment "Build" 

And I'll send it over.

---

Repost for priority access.

I know an AI agent that sat on a DTC brand's PDP for 2 weeks, captured every question from shoppers, then showed the brand exactly why visitors weren't converting.

Using AI like this can mean the difference between a 2.8% CVR and a 1.7% CVR.

Essentially, this is an agent that lives on your product pages, answers questions in real time, and logs every conversation as a data point. After 2 weeks, you have a clear picture of what's blocking purchases within an easy-to-understand dashboard. 

These agents can handle conversion killers like:

- Compatibility: "Is this compatible with my device?"
- Confusion: "What's the difference between X and Y?"
- Fit: "Will this actually work for me?"

85% of this feedback normally dies in chat logs. But agents like this can turn that data into an actionable CRO roadmap.

I'm giving away a step-by-step Notion document that explains exactly how to set up this system on your PDP’s… 

So you have AI handling conversations, running an analysis on why people didn't buy, and delivering that to you in a dashboard with visualizations.

Works for any Shopify brand doing $1M+. Free to install, takes ~15 minutes.

To get the Notion doc:

1. Connect with and follow me
2. Comment "insights" below
3. I'll DM you the link

#DialogPartner

One of our creators just hit 50k views on a single TikTok.

She has 6,500 followers. She's paid ~$500/month for ~25 posted TikToks plus bonuses based on views her content drives.

This creator is an actual customer. She had a real transformation with this product. The proof is undeniable in the video she posted, and that's why it worked.

You can't script something like this. You can't hire a generic UGC creator to fake it. You can't recreate it in Higgsfield.

She's in our Discord community, where we're sharing tips for going viral and building a community around helping people earn by sharing their authentic stories.

It's all real. No generic content or fake testimonials.

This is the nichemaxxing strategy for 2026.

Massive communities of real people within a specific niche who you coach to go viral on TikTok. Everybody wins.

You have to be doing this as a brand in 2026.

The creative bottleneck doesn’t exist in 2026.

Learn:

Claude
Octo
Wispr Flow
Snowball

Combine with:

Exceptional creative taste
Operational psycho-ness
Next-level communication skills

Might sound harsh, but you gotta figure it out or you'll get left behind.

It takes you way too long to write scripts, and it's not your fault. 

It's because you keep having to re-feed the context to your creative strategy copilot every single time, and that's extremely annoying to do. 

Instead, run use this 3-part architecture that I custom built out for my agency:

First, work backwards from a format you already know worked. Have Gemini analyze the entire video. 

Second, you pull that context into Claude, which already has project files about everything you need to know about the brand you're writing for.

Third, your Claude needs a set of overarching skills that sit within your Claude organization that tell it how to write like your agency or you. 

When you do this, the output is actually good. It's not a shitty first draft. 

Because Claude already has the direction...what made the original format work, how to write like the brand, and how to be good at creative strategy. 

That's the architecture.

I recorded a quick video walking through exactly how I set this up. Watch it if you're tired of re-explaining your Claude how to write like your brand or write like a real creative strategist.

Here's the embarrassing truth that a lot of "AI is replacing everything" bros haven't talked about honestly...

Making good AI video content at scale is actually kinda hard.

Getting prompts right is a skill. It takes time to develop. You have 8-12 seconds per scene. Iteration is slow. A lot of the output you get early on is going to be unusable and you're going to waste a lot of time. 

Compare that to certain types of content that are just genuinely faster to shoot on your phone.

For example: I've been making 7 talking head "yap" videos per week for my own TikTok that I've grown to 27k+ followers. I just pick up my phone and speak for 60-90 seconds. And then it's done.

Why would I spend the time to clone myself and try to recreate something with AI tools that will always feel slightly off, when it doesn't save me any time or cost? Plus people will hate me for AI-ing myself. 

How about if you're Comfrt Clothing, and your top performing TikTok affiliate videos are just Gen Z-ers in their bedrooms taking selfie videos? They just show off their hoodie, show off a few features, and add a caption. That's a 15-minute shoot on an iPhone.

There is no AI workflow that beats that for speed, cost, and authenticity.

So before you burn 20 hours crafting an AI workflow for videos that are easier to just shoot with your phone... ask yourself if it's actually worth it.

A Matthew McConaughey & Timothée Chalamet interview recently went viral, in which McConaughey said that the moral plea against AI is not strong enough and will lose out to the economic incentives.

No lies told there. 

But here's what might actually slow it down:

Everybody hates "AI passed off as real" content.

No major brand I know would unleash an army of AI influencers right now who are pretending to be real. That nuance is everything. The brand risk is enormous.

Maybe that changes in 10-15 years when Gen Z and Gen Alpha are the primary consumers and the cultural relationship with AI-generated content has shifted.

Impossible to actually know.

But in the next year? 

AI takes over certain categories, but humans retain control of most categories.

Because authenticity and emotional connection is still what builds brands. 

Faking it has massive consequences.

DTC brands, I would STOP making $300 UGC videos and immediately firing them into your ad account.

This used to be a logical strategy. But in 2026, you're missing the bigger opportunity.

I've worked with 100+ consumer brands, and so many are spending 100% of their time "creating content for paid", and 0% of their time deploying it organically first.

If your ad account is full of unspent creatives, do this instead:

- Scrape your customer reviews for content ideas using Motion (Creative Analytics) or Claude
- Scrape organic TikTok for winning angles using Snowball
- Talk to your ad account data using Octo
- Identify good creators with Meta creator marketplace
- Set up a Discord to manage and motivate them

Then:
- Get creators on performance deals where they post to their own accounts
- Build your own network of slideshow & faceless accounts
- Deploy every creative test organically first
- Prioritize putting paid spend behind content that earned organic views

Test this for 30-60 days.

You'll see massive improvements in creative volume & winning creatives while reducing wasted ad testing spend. Plus you'll build a massive halo that lifts your entire business. 

Let that drive which content deserves your paid budget.

You're stuck at $250k/month in Meta spend because you don't understand exactly what's happening inside the system you're feeding money into. 

Let me break down the 4-model architecture running your ads:

ANDROMEDA
This is the retrieval engine that scans tens of millions of ads to find candidates for each impression.

GEM
This is the ranking superbrain that takes Andromeda's pool and decides which ad wins the impression.

LATTICE
This is the consolidation layer that connects multiple ranking models and shares learnings across Feed, Reels, and objectives.

SEQUENCE LEARNING
This helps model user behavior over time. Not just one impression, the full sequence of actions before and after.

How they work together:
→ Andromeda retrieves 
→ GEM + Lattice rank 
→ Sequence learning personalizes.

What this means if you spend $250k+ / month as an 8-9 figure brands:

- Creative diversity is how you deliver ad candidates
- More variants = more signals = better matching
- The AI handles distribution, you handle inputs

You need operational willingness to hit quality + quantity + differentiation b/c that's what the entire system runs on.

I built my first real vibe coding app with Airtable, Replit, and Gemini. 

Process was:
- I built out this big Airtable databse
- Gemini analyzes any video and put the analysis in Airtable
- I created a front end for this using Replit

You can hover over the videos, and they auto play. You can open them up, and get the script. .You can even copy a prompt that you can preload into Claude
to do a rewrite of that video for your specific brand.

The prompt auto checks the project files in Claude that tell it how to write like that brand, and then it does a rewrite and gives you all this extra helpful context.

This was a massive game changer for my process of:

- Working backwards from a format
- Adapting it for the brands that I'm working with
- Applying my creative taste to edit the content in a human way afterward

"Content creators are toast, AI is going to replace all of you."

Here's why I believe this take is fundamentally wrong...

I run an AI-native creative agency. I use AI every single day. And I genuinely believe AI is one of the most important shifts happening in our industry.

AI will infiltrate certain categories and never touch others.

Any animation that is not Pixar-level, top 5%...is probably gone. Why pay $5,000 when you can prompt and tweak something that is relatively comparable?

Same with word walls, cinematic story ads, static creative, memes, and product renders.

But then there's content where the entire f*****g point is that it's real.

Pull up Comfrt Clothing on Kalodata. They're doing $10M+ per month on TikTok Shop. Look at their top 10 revenue-driving videos. None of them are AI. Almost all are real micro and mid-level influencers.

Because the content that works on TikTok is "I am a real person who bought this thing and here's what I think."

The second that's AI, the whole thing falls apart. 

At the end of the day, authenticity has always been the driver of building the best brands.

That didn't change just because it got cheaper to fake it.

Brands that have hired ex-Odyssey team members:

Gruns
Hexclad
AG1
Trip

I don't believe there is a better place to learn modern creative strategy, as long as you're hellbent on joining the top 1% of humans at this skill. 

We're hiring again for a critical position to help us deliver on our goal to elevate 8 & 9-figure consumer brands into the top 1% of their category for creative diversification & distribution. 

Apply here: https://lnkd.in/eYex6PPW

To apply: send a Loom video showing proof of two things:

1. A TikTok Shop you've managed...walk us through the results & what you did personally to grow it.

2. A Discord creator community you've managed...show us the server, your activity, and how you kept it engaged and growing.

"Do you get brands from posting on TikTok?"

I don't even know what to say back, cause I don't think of things that way. 

All I think about is:

- The thoughts in your head about marketing are actually smart
- If you pair them with the right hook, people will pay attention
- Just keep putting that out there, into the world
- They will find the right people
- When they're ready, they will just reach out
- I have a better chance than someone they never saw in their feed

That's literally it.

Let's say you need to build 10+ affiliate programs from scratch.

The goal: onboard 30+ micro-influencers per brand within 15 days.

Here's the setup:

Target: creators with 5k-50k followers already posting in each brand's niche (not random people)

Half the brands sell on TikTok Shop. Half don't due to business model constraints.

Compensation structures vary by creator:
• Commission-only + free product
• Retainers for high volume (30 posts/month) + view bonuses
• Retainers + sales commissions

Requirements:
• Full content buyout for ad rights across all platforms
• Dead simple process for sparking and partnership ads
• Ability to manage multiple programs simultaneously

Nice to haves:
• Payment management
• Dynamic creator payments based on CPM model

What's the 10/10 tech stack for this for < $2,500 / month?

Is it:
• Just Upfluence
• Just Aspire
• Just SARAL - The Influencer OS
• Refunnel + a CRM like Streak 
• Social Snowball ☃️ + a CRM like Streak 
• Superfiliate + a CRM like Streak 
• Some other combination
• Something else entirely

You need operational efficiency here. 

What have you used at true scale that actually works?

Upfluence

Aspire

SARAL - The Influencer OS

Refunnel

Streak

Social Snowball ☃️

Superfiliate

Jack Dorsey fired 40% of Block staff "because of AI."

Here's exactly what to do next if you're afraid of being next...

18 random thoughts from growing my TikTok from zero to 26k+ followers in a few months.  

- I kinda think you're a fraud if you make content for a living but are unable to grow your own social accounts
- Every thought-out LinkedIn post is a script for TikTok
- Unscripted TikToks become more LinkedIn Content
- Just fire off that "hot take"

- Audio quality matters more than camera quality
- Just buy the RØDE mic, it's awesome
- Making your own videos is best way to become a better CS
- Every CS should try to grow a TikTok, even it's a faceless account

- The hook is everything
- The hook should be oddly specific: use keywords and numbers
- TikTok "categorizes" you, and it becomes easiest to get views in that category
- The random thought in your head is good enough for TikTok, as long as you have a specific hook

- It's easier to get views on TikTok than LI w/o resorting to "lead magnets"
- It's possible to work out and make 3 TikToks during my kid's naptime
- People will watch and comment even if it's just a talking head video
- Your audience is on TikTok b/c everybody is on TikTok

- TikTok drives real business opportunities
- I had 3 leads comes through last week who discovered us on TikTok

Anyway, those are my thoughts.

Co-founder @Growth Today | Building scalable GTM systems that drive predictable pipeline | 🚀 growthtoday.com

If you are selling B2B these days...

Building a consistent, scalable and predictable qualified pipeline is really hard. 

You've probably tried:
❌ Increase activity — doesn’t yield better results
❌ Build templatized “team” sequences — didn’t work
❌ Adding more headcount — doesn’t scale linearly

These methods "work"...

But these are costing you a LOT and don’t let you experiment quickly and in a systematic way to learn what works, bake these back into your GTM, and refine your sales strategy…

especially in today’s economy, where fewer people buy from you, fast copycats steal your leads with a $29 one-time offer, and AI is completely changing the game.

That's why we help our customers unlock their own repeatable outbound system:

In the next 180 days, our team will help you to:
✅ Ensure emails reach the inbox
✅ Reach out to the right people
✅ Send personalized, relevant messages 
✅ Boost sales effectiveness
✅ Understand what works on your market, and what doesn’t to refine pipeline generation

More than 30+ scaling B2B companies like Active Campaign, Bigblue, and Aftersell trust us with building, fixing, or scaling their pipeline generation.

Our clients typically see measurable improvements within 3 months in their sales efficiency and their pipeline generation.

And once we fix the fundamentals, all you (or your sales team) will have to do is give us another sales play to run, iterate, and scale. 

Here’s what 2 of our customers had to say:

“I have done outbound for 10 years but it changed a lot, become a lot more technical. Jani helped to figure out the right structure, the right tools, and the right systems and I was able to focus on closing the business” - Elena, Head of Sales

“Jani’s systems helped us to book 3 qualified sales calls within the first week of launch. We're launching new campaigns on other markets right now" Theo, BD lead in UK

Want to unlock a systematic way to run, iterate, and scale to drive a qualified pipeline?

I’ll audit your target account lists, and sales copy and help you with what’s next: 
https://calendly.com/growth-today/intro-meeting
 
See you there!

Jani Vrancsik

Getting the right data for prospecting shouldn't take longer than the outreach itself. (…but it often does)

Building ICP lists.
Cleaning messy CSVs.
Reviewing data around bounce emails

Explaining to mgt/reps/internal teams why “delivered” doesn’t mean “inbox.” Switching between CRM, Sheets, enrichment tools, and outbound platforms.

It’s a lot of context-switching.
And honestly…
It’s SUPER tiring & time-consuming.

At Growth Today, we just run our enrichment through a single, structured flow through Icypeas:

— We can find verified decision-maker emails (not scraped guesses)
— We verify catch-all domains (Google & Microsoft included)
— We enrich profiles with usable context (titles, company data)
— We scan domains for role-based emails in SMB markets as well as Enterprise
— We plug it straight into our workflow via API so we make it super fast & scalable (no need for import, export!)

➕ it works with the tools you already use 
(no heavy setup or new system to manage)

It can truly make your outbound data cleaner without needing heavy oversight, management, and creating operational bottlenecks ✌️

If enrichment takes more time than it should, or data isn’t accurate enough, it is worth exploring.

Check Icypeas out.

Co-founder @Growth Today | Building scalable GTM systems that drive predictable pipeline | 🚀 growthtoday.co

I recently jumped on a podcast with Tim Yakubson 🚀 and went deep on how we built Growth Today from 0 to $1M ARR in 12 months as a Clay agency when we started in 2023.

No theory. 
No “just post on LinkedIn” advice. 
Real systems, real mistakes, real trade-offs.

We talked about things I usually don’t break down publicly 👇

How we landed our first clients (before we had any brand)
When Clay agencies stop being scalable (and what to fix)
Flat retainers vs volume-based pricing
Which clients should you absolutely avoid
How to productize Clay services past $50k MRR
Hiring GTM engineers without burning months of time
What actually breaks during onboarding
How to scale delivery without working 24/7
When to automate and when to stay manual

Tim also put together a free resource bundle that includes:

The full podcast
All tools and frameworks we referenced
Clay resources and certifications
Pricing + proposal examples
GTM and outbound best practices

If you’re:

Running an agency or freelancing with Clay
Thinking about starting a business
Or trying to scale your own capacity
This will save you a lot of pain.

👉 Comment “CLAY” and I’ll send you:
The podcast link
All the free resources mentioned

Appreciate Tim Yakubson for having me on one of the most honest conversations I’ve had about building an agency in this space. ✌️
& ladies and gentlemen: 

keep building!!! 
(whatever you do!)

How to do Cold Email Outreach like the top 1%:

(After analysing 1,000,000+ sends in Instantly.ai)

Here are the common points among all high-performing outreach campaigns:

Step 1: Car engine > Car itself

Before you try to fix the car, take a look at the engine first.
Engine = foundation

Is the targeting actually GOOD, relevant? Do we have truly accurate data? Do we have a system in place to keep the data accurate? Are we delivering in the inbox? Do we have a deliverability system/process in place?

Step 2: Focus on testing ONE single thing
Don’t change too many things at once:

New ICP. New angle. New tooling.
It’ll make it hard know what is actually working. 

Slowing down and testing one variable (be it the copy, be it the list, etc.) at a time will bring you the right clarity.

Step 3: Build Feedback Loops
Start paying closer attention to:

Which segments replied
Where conversations stalled
What objections were consistently repeated

Make Learning as the #1 KPI if you are building your outbound motion scratch.

Step 4: Systemize What Works
When something started performing, we documented it.
Targeting logic. Deliverability standards. Messaging patterns based on real conversations.

Outbound is less interesting once it becomes structured (& this IS A GOOD thing)

In my experience, the channel itself rarely changes that much. It simply amplifies what’s already working — or not working — underneath.

Do you feel you have everything in place to run truly structured experiments?

Hot take, but CTAs are one of the biggest reasons outbound underperforms 👀

Not because the prospect hates meetings.
But because the CTA gives them zero reason to say yes. 🙅‍♀️

Welcome to commoditization.

It’s what happens when 100s of agencies and SaaS tools all promise the same thing, in the same way, at roughly the same price.

Last week, while rebuilding a services company’s outbound motion, this became painfully obvious.

Their CTA was: “Open to a quick chat?” “Would you be open to exploring how {outcome}?

Everyone uses that line.

In commoditized markets, a meeting is work for the buyer.
Your CTA gives them no reason to say yes.

Here’s how to change that👇

1️⃣ In a commoditized market, your CTA is your differentiation

If your offer sounds like:

“We lower your CAC.”
“We scale your Meta ads.”
“We run data-backed performance campaigns.”
…congrats, you’re in one of the most commoditized categories on earth. 😅

2️⃣ Value-first CTAs instantly reposition you

Instead of:
“Let me pitch you,”

It becomes: “Here’s something useful I put together for you.” which read in the prospect's mind like this: “Even if we don’t end up working together, I’ve got something useful

If I were running an ad agency, these would be one of the 20 CTAs I’d test to start conversations with my prospects:

Performance / Paid Media CTAs
“I reviewed your last 90 days of ad performance. Can I send a quick summary over?”
“I spotted a few creative angles that could bring costs down. Could I share those ideas?”
“I noticed opportunities to simplify your structure. Would a short outline be helpful?”

Creative Strategy CTAs
“I pulled the hooks performing best in your niche. Could I send your custom list?”
“I mocked up three new creative variations based on your current ads. Can I share them?”
“I found a few reasons why your creatives may be fatiguing early. Would insights help?”

Landing Page / CRO CTAs
“I ran a quick heatmap pass on your hero section. Can I send the notes?”
“I drafted a few landing page revisions that may lift conversions. Should I send a preview?”
“I did a scroll-depth check on your offer page. Could I share what stood out?”

Full-Funnel / Growth CTAs
“I mapped a few friction points across your funnel. Can I send the snapshot?”
“I created a simple revenue path model for brands at your scale. Should I send it over?”
“I drafted a new offer angle based on recent trends. Would it be helpful if I shared it?”

5️⃣ Why this matters more in the (ad) agency world

In performance marketing, EVERYONE claims they do:
creative strategy
media buying
funnel optimization
offer testing
attribution
scaling frameworks

When done right, your CTA becomes the most differentiated part of your entire outbound motion.

TAKEAWAY:

Your CTA is the first place your differentiation shows up, or doesn’t.
….& this is SO EASY to implement and TEST what works! ✌️

More human and more useful from the very first touchpoint.

We went from ~1 positive reply per 1,000 contacts

to 1 per 200 without increasing volume. (good tips 👀 inside 👇)

This team was already doing OK on the EU markets, selling their ecom SaaS. They wanted to open up Shopify SMB / mid-market in the US & CA.

New segment: NAM vs EMEA

Different sales cycle, buying behavior, and angle: SMB vs. Enterprise
No System.
↓

So how do you get started on a new segment
& build a motion up and running
that allows you to experiment and build the plane why you fly? 🪁
↓

So here’s how we did it

We set up evergreen competitor campaigns; we didn’t have to rebuild each month
We run 2–4 structured experiments every week
We set up scheduled re-prospecting to re-prospect the whole TAM every 45 days

Angle is leading with Search, reframing with an AI agent if needed

Manual motion for enterprise (their reps), programmatic for SMB (our GTM engineers)

Customized messaging by persona, by vertical, and by intent (&whether they use competitors or not)

Same team. Same market. But a real structure in a GTM motion! 🎸

Building systems that allow you to (1) ship something fast (MVP) (2) then optimize and operationalize (3) then elevate and automate
is what truly compounds your results ✌️

If you need structure on how to build, scale outbound.
Book a time with us on our website (growthtoday.co). 
We can help ✌️

Results in a nutshell 🥜

8–10 angles: ~1 positive per 200 contacted prospects (multiple different personas)

The majority of the other angle consistently sat between 1 per 400–800.

& if you want to go to market or know the diff between EU vs NAM
some facts 👀:

1️⃣ SMB / mid-market responded ~3× more than people from enterprise Accounts
2️⃣ US/CA were more receptive to cold emails vs European companies
3️⃣ 20% of the best working angles produced 80% of the results (hello Pareto! 👋)
↓

The biggest change is always the time and resources to go to market
Once you are there, there is always SO much you can
experiment and launch initiatives faster
speed > perfection

Once we built you a repeatable structure, iteration became MUCH easier. & the learnings and results felt less random.

How we built a repeatable Shopify Pipeline

"Can I 5x your pipeline?" "Can your business handle more leads?"

Come on.

If you're in a revenue seat, you know this. You get bombarded with this garbage every single day.

What I see in this market is probably true for a lot of other industries too.
There are a lot of inexperienced people.

A lot of flat-out bad actors.
The barrier to entry is just SOO low

Buying email infrastructure? ➡️ Getting cheaper and cheaper.

Automation tools like Instantly or Smartlead to spray and pray? ➡️ Getting cheaper and cheaper.

Using AI to generate messages (questionable quality)? ➡️ Getting cheaper and cheaper.

It's so easy and so cheap to get started that 99% of agencies are just gonna be bad.

That's just math.
And the end result?

People are getting fired over hiring the wrong experts — one who bought their laptop a week ago.

If you're evaluating lead gen agencies right now, be careful out there 👀

If you truly want to build a better pipeline, it's less about lead gen and more about GTM strategy.

You need a partner who can ideate with you. Someone who's been inside an org, understands your constraints, and knows how the pipeline actually gets built.

Unlikely that's a 20-year-old who's never seen the inside of a revenue team.

I have one strict rule when thinking about GTM hiring

(been reflecting on this a lot in 2025)

My rule is simple:

if top talent wouldn't be excited to join your team — and genuinely thrilled to work inside your stack — you already have a problem bigger than hiring:

Your competitors are building modern autonomous systems that compound a hard-to-copy advantage every single day. & That gap doesn't stay small. it compounds.

So before you say “we just need better execution,” ask: “Would the best operators actually want to work inside this setup?”

if no → it's not a hiring problem. It's a competitiveness problem. & it's already working against you. if yes → you're building something that pulls top talent in naturally.

Are we using tools that modern GTM engineers actually expect?
Are we investing in data, signals, and automation that let our team focus on high-value work instead of manual grind?
Are we building skills internally — or just hoping to hire them?
Are we clear on what our culture actually is?

The best GTM professionals are already sharpening agentic skills. The best companies are already hiring for them.

Top talent doesn't just look at salary.
They look at leverage and long-term impact.

(& A players regularly ask themselves: "How can I give more value so both I and the team grow?" — that's proactive career management)

If they join your team, will they be building the future?

That's the real question.
I can't see this slowing down.

P.S. What are you doing to prepare your team for the next wave of GTM?

I hate to say this. But the odds of:

- Declaring “outbound is dead”

- Trying a few campaigns

- Then abandoning it completely

...are extremely high. and you'd be a rare exception if you didn't go through this phase at least once.

But it’s not really about effort. It’s just how these systems feel in the beginning.

Running outbound today comes with:

- A delayed feedback loop
- Inconsistent short-term results
- High system complexity
- Tool overload
- Very little room for clean experimentation
- A pretty uncomfortable environment for decision-making.

it's honestly designed to make you quit early!!

The teams that keep running outbound and don’t write it off completely, over time, usually start looking underneath the channel instead of at the channel itself.

They spend more time on data quality than on rewriting copy.
They improve infrastructure before increasing volume.
They change one variable at a time.

Outbound probably isn’t dead. Sometimes it just shows us where the system needs attention.
(same like any other GTM channel)

If it were easy, everybody would do it.
& the moment everybody does it, it stops being easy.

The cycle resets every single time.
That's exactly why the teams that build the boring foundational stuff — data, infrastructure, process — end up winning.

because most people quit before they get there. ✌️
don’t be that team! 🥊

P.S. If you’ve ever thought about turning outbound off completely, what did you notice when you looked at the infrastructure behind it?

Clay’s officially here in London. 😍 And so are we.

London has always been a wonderful place for me personally, with a few relatives + ex-colleagues living here

Super excited to grab a bit of ☕ with Brigitta Ruha, Tyler Swanson, Ziqi Deng, Juan Ravagli, and Michael Vitak

I’ll spill the 🫖here soon 😉

taplio

The Battle

Jake Abrams

Jani Vrancsik

Followers

Posts

Engagements

Likes

Performance ScoreJake Abrams's LinkedIn Performance

Performance ScoreJani Vrancsik's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Jake Abrams

Jani Vrancsik

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Jake Abrams's LinkedIn Performance

Performance ScoreJani Vrancsik's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJake Abrams's LinkedIn Performance