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/

I built a 40-slide deck about the winners & losers of paid social in 2026. 

🏆 THE NEXT ERA OF PAID SOCIAL: 40 Slides Outlining How To Actually Win At TikTok, Meta, And Creative Diversity In 2026. 

I believe it invalidates 75% of what most marketers are doing right now.

4 shifts happened:

1. Infinite good ideas
⤷ AI can scrape customer reviews, analyze signals, and generate insights in seconds. The number of good ideas you can come up with is now infinite.

2. Unlimited Distribution
⤷ There's no limit to the amount of content that can be posted. Every new video is an opportunity to generate net value for your business.

3. Aligned Incentives
⤷ Creator compensation finally matches value created. TikTok Shop ties pay to sales. CPM and view-based models tie pay to reach. Performance-based compensation is now functional & accepted. 

4. The Feed Is Everything
 ⤷ People don't go to websites for education anymore. They spend 6+ hours a day on social media. Consideration, nurture, and education all happen in the feed now.

In a world of unlimited at-bats, the brands that exercise operational willingness to hit the quality bar at volume, win. 

What this looks like:
- An aggressively intentional use of creative diversity 
- 4-tier content model from Elevated through AI-generated
- Network of 20+ owned and affiliated social accounts
- All publishing daily
- All feeding the algorithm
- All generating halo

All competing for a chance to become your best performing paid ads for zero upfront media cost. 

This 40-slide deck is every 8-9 figure brand's roadmap to reaching more accounts on Meta & TikTok and actually growing profitably. 

Want the deck?
→ Like this post 
→ Comment "SLIDES" and I'll send it over (must be following)

---

EDIT: you can just grab the deck here: https://lnkd.in/eTxSxauP

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Creative-led growth for 8-9 figure consumer brands | Writing about AI & advertising | Sold 100k+ personal cooling devices

I found a travel brand driving 15M+ views / month across 11 TikTok accounts. 

One account has 683 followers, with multiple videos over 170k views.  

Most marketers have no idea how this strategy works. Their effectiveness is decaying rapidly. They are quickly becoming dinosaurs. Don't be like them.

This travel brand has a full-on content ecosystem: the brand account, multiple employee accounts, affiliated accounts, and more.

All publishing daily. All feeding the algorithm. All generating halo. All competing for a chance to become their best performing paid ads for zero media cost. 

The old model: 
→ Budget determined creative volume 
→ Ads launched straight into paid testing 
→ Creatives competed for spend 
→ Losers generated zero value 
→ Insights came from paid data only

The new model: 
→ Every video gets posted organically first 
→ The algorithm tests everything for free 
→ Every post generates signal and net value 
→ Winners earn their way into paid 
→ Your best-performing ads are pre-validated

Do you understand that the bottleneck does not exist anymore?

It's no longer "what should we say this month?"

It's "how do we say everything, everywhere, all the f*****g time?"

What I found when I dug into this brand: 
→ 11 separate TikTok accounts, all active 
→ 1000+ videos published per month across the network 
→ Hundreds of videos with 100K+ views
→ Micro-accounts outperforming accounts 100x their size 
→ Minimal correlation between followers and views 

I recorded a full Loom breaking down: 
→ How this brand structures their multi-account strategy 
→ The content formats getting 100k+ views from tiny accounts 
→ Why this works with TikTok's algorithm 
→ How to replicate this for your brand for organic and paid

Want the full breakdown?
→ Comment "TikTok" 
→ Like this post

And I'll send it over (must be following so I can DM)

This AI agent watched 291 viral skincare TikToks and broke down the winning hooks, visual themes, and messaging.

If you're running a skincare brand in 2026, this is a cheat code to winning ads. 

Every idea does not need to be original. You can just find what's already working on organic TikTok and remake it for your brand.

That's a big part of the strategy I've used for years across 250+ brands. 

This database does the hard part for you. The agent analyzed:

- Hooks that stop the scroll
- Visual styles that perform
- Messaging that converts

And the analysis isn't generic. It's specific enough that you could take 30 of these videos, adapt them, and have a month of content ready to test.

I'm giving away the full database & analysis of these 291 videos.

To get the full Airtable database: 

1. Connect with & follow me
2. Comment "DATABASE" below 
3. I'll DM you the link to access it

---

I originally built this flow myself using N8N, Apify, Gemini, and Airtable. It works great, but it took some time to set up.

If you're not into stitching together automation tools, you should check out Snowball: it does this way easier out of the box.

https://lnkd.in/eGCw2k35

I know a growth marketer driving 3.6M views / month on TikTok.

To me, this is the #1 arbitrage opportunity in paid social in 2026. 

I almost didn't want to write this, but most people won't take action anyway. 

Here's essentially how it works:

50 TikTok accounts
3 posts per day / account
4,500 posts per month
800 average views per post
3,600,000 average views per month

The algorithm is meritocratic now. Best content wins. 

Also...
we have infinite access to intelligence now. 
which means there are infinite good ideas. 

So if you're good at AI, the advantage isn't in having good insights & ideas. 

The advantage is your distribution. 

An Attention Engine should be part of every brand's creative strategy in 2026.

Comment "ATTENTION" and I'll send you my 40-slide deck that explains exactly what I'm talking about.

In 1 slide, this is what format diversity looks like...

How to think about it:

Creative diversity is made up of 2 things:

1. Micropersona diversity 
 Who are you talking to?

2. Format diversity 
How are saying it?

Process to use:
- Go uncomfortably deep on your micro personas
- Start testing with easiest formats (statics, faceless)
- Once those land, activate winning messaging across the full spectrum (native, scripted, cinematic, elevated)

This helps you:
- Scale your ad account
- Reach new audiences
- Reduce wasted spend & creative production costs
- Turn 1 win into 100 wins

That's the systematic approach. 

One insight. Many micro personas. Every format.

I know a freelance CS who 100x'd their creative output using AI.

He's shipping 25+ unique concepts every week. 
He's writing briefs in minutes that used to take hours. 
He's making a lot of money.

How he does it: 

"I use AI to find viral TikTok's in my category, and run a system that generates infinite variations while preserving what made the original content successful."

Here's the exact process he uses:

1. Find a viral organic TikTok in your category using Snowball

Not ads. He's looking for organic content that's already proven to resonate. Snowball makes it easy to find this and extract the key elements. 

2. Bring that format into Octo

Octo has vision into your ad account. It already knows what's working and what's not for your brand.

So he uploads the reference video and provides his micro personas.

Example: If he's working on a health supplement for dogs. One of his micro personas might be "Old Dog Mom." She has a senior dog that's starting to have health issues like joint pain or less energy. She's worried.

3. Tell Octo to write the script for that persona

Let's say the TikTok he found was a staged moment video. So it's a person behind camera talking to person on camera, educating them about this supplement that's great for older dogs. 

Octo writes the script in that format, for that persona, informed by what's already working in the ad account.

4. Rewrite for different micro personas

Once the script is dialed for Old Dog Mom, he has Octo rewrite it for:
→ New Rescue Dad
→ Active Dog Mom
→ Skeptical Switcher

So he gets more ads from that one original format that already worked. 

5. Format multiplication

Now he takes that same insight and multiplies it across formats:

The staged moment becomes:

→ Podcast clip (same banter, different setting) 
→ Street interview (same objection/solution dynamic) 
→ Word wall (just the key lines, way easier to produce)

Infinite executions if you have your format system dialed in. 

6. Use Wispr Flow the entire time

He doesn't type anything. He just talks to Octo through Wispr. 

---

Here's what this really means for creative strategists in 2026:

The primary skill set is essentially this:

Creative Taste
- You have to find the references and know what to do with them.

Operational Speed
- You have to be a psycho about moving fast. Because if you want to, you can.

Communication Skills
- Other people get involved: creators shooting the content, clients approving the ideas. You have to sell the vision and protect it through execution.

---

You can operate 100X faster with this flow.
And you can make a lot of money.

i just want to make sure I'm understanding this correctly....

going from $0M to $15M in DTC is basically just:

1. you start with a product that actually solves a real problem. 

2. you make sure the product(s) provides ongoing value so that you grow LTV instead of always chasing new customers.

3. you nail your foundational messaging before you make a single piece of content. build a story that spreads. 

4. you ensure your audience can easily understand the problem deeply enough to explain it to someone else. that's how ideas move through networks instead of dying on the feed.

5. you use tools like Snowball and Adology.AI to watch the top 1% of content in your niche and extract content ideas. 

6. you rip the structures of high performing creators, in your niche or not, and bring in your own powerful brand message. 

7. you create voice-of-brand content yourself. make strangers want to buy from you. 

8. you pick up your phone, start making TikTok's, and you can have 20k followers in like 2-3 months and be your own TikTok affiliate. 

9. you voice record your thoughts with Wispr Flow and have Claude turn them into scripts for videos (organic or paid)

10. you layer in reaction hook + product videos. you or someone at the company on camera for 5 seconds, then show the product for 10 seconds. 

11. you build a "hybrid" content tier: AI-assisted edits + real footage.

12. you run elevated shoots quarterly or monthly. this is your best-looking stuff, but it still needs to feel native, not like a TV commercial.

13. you build a controlled creator layer...your 5-15 core creators you tap repeatedly.

14. you build a facilitated creator layer underneath that. this is your influencer program down to TikTok Shop affiliates.

15. you align incentives with performance. small retainer + CPM tiers and/or commission on sales. if they only win when you win, quality goes up.

16. you manage all of it inside a Discord. 

17. you cultivate a community of real customers, not actors. 

18. you tap into the stay-at-home mom economy. there are thousands of them who'd love to make an extra $500- $1.5k / month making slideshows and word wall videos for brands they actually like.

19. you give them the tools, the playbook, and the incentive structure...then get out of their way.

20. you use tools like Motion (Creative Analytics)and Octo once you're running ads to turn each win into 20 new wins.

TLDR:
Story
Ops
Community
Aligned incentives
Flywheel

That's the whole machine.

22 thoughts about the next era of paid social in 2026 🎥

2026 is the best year in history to be a creative generalist.

You now have a superhuman suit for the entire creative process.

And most people aren't:
- Smart enough
- Motivated enough
- Disciplined enough

To actually use it. 

So there's this massive gap forming between the people who figure this out and everyone else.

This year belongs to the people who can see the big picture and make it happen fast.

The 4 Tier Content Matrix

In a world with unlimited at-bats, every brand should make these 4 types of content in 2026 ↓

1. Hero Content: 
High-production brand moments. Quarterly campaigns. Elevated UGC. Done with in-house team and a small roster of cinematic creators. This is your traditional stuff for brand or DR that looks nice. 

2. Controlled Creator Content: 
You have a managed roster of creators. You feed them the angles, the talking points, often the scripts. You get high quality, predictable output. But there's management overhead so it doesn't scale infinitely.

3. Facilitated Creator Content: 
This is your Discord channel, your seeding program. Community-driven and hands-off. Creators own their angles and language. Quality varies, but it's very authentic. Pay commissions or pay per million views.

4. AI / Hybrid Content: 
Slideshows, faceless videos, text-on-screen. No creators required. Infinitely scalable. Fills the feed, generates signal, and occasionally produces surprise winners for organic and paid. 

What am I missing?

There’s an uncomfortable gap forming between the top 1% of creative operators and everyone else.

Because you now have a superhuman suit for the entire creative process. And most people aren’t smart, motivated, or disciplined enough to actually use it. 

Within e-commerce and marketplaces, specifically, this shift is happening incredibly fast. 

Photoroom just released their State of GenAI in Marketplaces 2026 report, based on interviews with 10 AI experts and a survey of 2,000 consumers. 

Some findings I found interesting: 

→ 55% of consumers say poorly executed AI-generated images actually decrease trust
→ 75% of workers say AI improves their speed or quality
→ Wolt reclaimed 100+ human hours per day after automating image QA
→ 64% of organizations are still in experimentation phase of AI adoption

If you want to go deeper on this and become part of the top 1% of creative operators, you should join Photoroom’s State of GenAI in Marketplaces live event this Wednesday (1/28).

You’ll get to learn from the people who are actually building the AI infrastructure behind visual content at scale.

⚫ jeff strauss - Head of Imaging, Photoroom (ex-Wolt) 
⚫ Sonia Biddle - Chief Product Officer, Depop 
⚫ Anne-Claire BASCHET - Chief Data/AI Officer, Mirakl 
⚫ Laura McGinnis - Partner, Balderton

You can register (for free) with my link: https://luma.com/8wgjjupp

If you're a:
→ Marketplace operator
→ Creative strategist 
→ E-commerce operator 
→ Brand marketer 
→ CMO

Really anyone who works with product visuals at scale, you should show up to this.

The session is on Wednesday, January 28th at 12:00 PM ET / 9:00 AM PT.

Even if you can't attend live, still worth registering for the recording.

See you there: https://luma.com/8wgjjupp

#PhotoroomPartner

Test your creative without spending $1 in your Meta ad account.

CONTEXT:

Good ideas are free now. 

AI can scrape customer reviews, TikTok, Reddit, any signal that exists.
With the right systems, a talented human with good taste can transform these ideas into native content 10x faster that before. 

NEW INSIGHT:

So the constraint isn't "what should we say test month?"
The question is: "how do we test everything, everywhere, all the time?"

Followers don't matter anymore. The algo shows your content to whoever it thinks will care. Good content finds its audience. Bad content dies. That's it.

So this is a game of executional quality & volume. 

ACTION TO TAKE:

Build the network for unlimited at-bats:

Brand Voice Accounts:
- "Josh at [brand]"
- "Maria at [brand]"
- "Marketing team at [brand]"

Verticalized Accounts:
- "Zach Travel Stories"
- "Alex Nomad Life"
- "Caleb Travel Finds"

Faceless Accounts:
- "Insane Travel Stories"
- "Your Travel Inspo"
- "Travel Deals Central"

All posting daily. All testing messaging. All letting the algorithm tell you what works.

By the time you put $1 into paid, you already have the answers. Plus a massive halo that lifts the performance of all your ads. 

The algorithm is the first test.

The best creative teams operate on 7-day cycle.

→ What got deployed 7 days ago? 
→ What's actually getting spend? 
→ What's working?
→ What's not? 
→ What are we changing for the next 7 days?

When you compound that weekly process over a long period of time, that's where the magic happens. 

But so many weekly creative strategy meetings devolve into this weird habit of staring at the same group of highest spending ads and wondering what to do about it. 

I like Motion (Creative Analytics)'s new Week over Week trends reporting because it makes the ideal weekly workflow much easier for creative teams: 

→ Automatic 7-day vs previous period comparison 
→ Spend, ROAS, and softer metrics 
→ AI that you can ask about what changed and what to do next

Creative reporting should map to this 7-day cycle.

Matthew McConaughey was right about private LLM's. Broad AI is out. Narrow AI is in. 

For performance marketing, 90% of the AI tools I've tried have been useless. Because all they do is make it faster to generate a higher volume of mediocre output. Nobody needs that.

Octo has been my best experience so far with a Performance Marketing LLM, in which the product is connected to the ad account and actually understands the ad account like a senior-level performance marketer.

You don't understand that the bottleneck doesn't exist anymore. 

One account posting daily = 30 pieces of content per month.

An ecosystem of 20 accounts posting 3x per day = 1,800 pieces of content.

All feeding the algorithm. All generating halo. All competing for a chance to become your next best-performing paid ad for zero media cost. 

The old model treated organic as a single channel you "managed."

The new model treats organic as a testing ground you flood with volume, then promote the winners into paid.

Your brand account alone will never generate enough at-bats. You need the ecosystem, and you need operational willingness to hit a quality bar at volume.

3 opening slides from our 25-person team offsite in Austin this past week. 

Last year, I totally failed as a leader to provide daily purpose. 

As I was thinking through our collective "why" for this year, had a thought...

For some reason, the world's most valuable skill is creating things for the internet that gain attention from the right people. 

If you join the top 1% (or even the top 20%) of people at this skill, you get:

- Freedom & flexibility
- Money & opportunity
- Leverage & access
- Creative fulfillment

I know this is true, because it's exactly what's happened to me these last 3 years of finally creating content. 

So in 2026, Odyssey will be the best place to work for anyone hellbent on joining the top 1% of humans for the most important skill in the world. 

Oh, and we're hiring for:
- Full-time content creators
- Growth marketers
- Creative strategists

Matthew McConaughey was right about private LLMs.

You could also call them "vertical-specific LLMs" or "professional class LLMs". 

These are going to dominate in 2026.. I'm already seeing it happen outside of marketing. Harvey is doing it for legal.

Broad AI is getting replaced by narrow, expert AI.

I'm not a technical AI expert. But here's what makes sense to me:

If something is giving you an answer in 5 seconds, it probably helps for it to have a narrower, more specialized view of the information it's pulling from. Only the validated, expert-level stuff. Not an unlimited ocean of everything.

For performance marketing, 90% of the AI tools I've tried have been useless. Because all they do is make it faster to generate a higher volume of mediocre output. Nobody needs that.

What performance marketers actually need:

- AI trained on ads that actually won, and why they won
- AI with vision into their ad account data
- Agents that analyze performance like an expert media buyer
- Micropersonas specific to the brand they're writing for
- Voice and messaging guidelines baked in

So when you ask "how do I improve this supplements ad?" The answer is actually valuable.

This is what AI looks like in 2026 for performance marketers. 

---

P.S. Octo has been my best experience so far with a Performance Marketing LLM. I'm gonna drop a link to it in the comments.

Octo

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

Outbound never looks the way you expect it to 
this year reminded me of that the hard way

On one hand:

- Volume was there
- Messages were solid
- Targeting looked right
- Campaigns were running

But at the same time:

- Calls going nowhere
- Some emails bounced
- Lists needed fixing (again)
- Results are a bit inconsistent

And honestly? It felt heavier than it should have.
I kept thinking:

"We're doing the right things… why isn't this working?"
"What am I missing here?"

It was one of those phases where you’re doing the right things, but the results don’t fully line up yet….

That’s when it clicked for me…
With the right data foundation (which we often de-prioritize!)

sales starts working with you instead of against you.
and once the data was actually accurate + relevant + actionable:

Emails hit the inboxes
Better calls

We got our momentum back

That’s when Prospeo.io started to matter to me as a way to remove friction from the system.

So moving forward, the focus is simple:

Fewer guesses
Cleaner inputs
More conversations that go somewhere

Progress isn’t linear.
Outbound isn’t either.

And if it feels like it’s going over your head right now
you’re probably closer than you think ✌️

invest in the RIGHT data foundation.

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

I’ve probably lost $25–40k this year.

Not because interest was missing, but because follow-ups were late and signals went cold.

- People engaged with posts.
- Viewed my profile.
- Commented.
- DM’d.

Then things slipped.
Weekly missed opportunities.
Conversations are dying quietly.
Deals buried under “I’ll reply later”.

That’s when it clicked:

GTM doesn’t break at strategy.

It breaks at execution.

So here’s what I’m changing (copy this):

1. Stop relying on memory for GTM
2. Centralize signals from content, DMs, meetings
3. Turn signals into actions automatically
4. Remove manual handoffs
5. Let workflows run without babysitting

I’m experimenting with autonomous GTM systems like FlashLabs.

SuperAgent to handle the parts humans are bad at: tracking, routing, follow-ups, consistency.

Just fewer things falling through the cracks.

What part of your GTM still feels manual right now? 👇

Your copy might be great.
But your setup might be holding you back.

Most of the teams that come to us have already tried everything:

new subject lines, rewritten messages, stronger CTAs.  

Yet somehow, nothing lands 👀

They usually mention that the copy has to be the problem

But when we take a look, the real issue is almost always underneath….

Things like:

One domain is doing all the heavy lifting

No real warmup (... or done for too short a period of time)

No inbox placement test to see where your message lands (inbox vs spam?)
Sending patterns that look too “robotic.”

Once we fix that by adding more domains, adjusting the sending volume according to inbox placement, and rotating inboxes

Emails start showing up where they should. 
In the inbox! 💪

If your cold outbound feels off lately and you've tried everything with your messaging...

Maybe it's time to look at what's under the hood.

P.S. Follow me for more, so when your outbound hits a wall, you’ll know exactly what to do (& what not to).

Cold email stops working the moment you get too comfortable with it
Not because the channel died.

But because you stopped questioning what you're sending.

Most teams find a winning sequence, scale it, and just... keep running it.

Same angle. Same copy. Same volume strategy.

they ride it until reply rates quietly decrease and no one knows why

Here's what I've noticed…

Outbound has zones, just like growth does.

→ 🧘 Comfort Zone: same sequence for months, ignoring reply quality, thinking more volume = more meetings

→ 😨 Fear Zone: admitting copy is tired, killing what used to work (most teams retreat here)

→ ✍️ Learning Zone: testing by segment, iterating frequently, letting data challenge opinions

→ 🪴Growth Zone: less volume, more meetings, predictable motion

So I mapped out these 4 zones and what happens in each.

Now I know when comfort becomes stagnation.

Swipe through to see where you might be stuck 👇

Which zone is your outbound in right now?

P.S.: You think you need to follow up with the agency’s team, but usually, at Growth Today, we follow up with you a lot and recommend a lot!.. So we can always be in the growth and learning zone 🧞

Our GT swag just arrived Perfect timing too when we're heading to Bali tomorrow for our company wide offsite.

Honestly, I'm pumped.
not just for the swag (okay, maybe a little for the swag)

But we're finally getting the whole team together in one place.

Remote work is great and we have been doing it for year, but there's something different about brainstorming face to face.

Sharing meals, bad jokes and meeting the people you Slack with daily.

That just hits different.
we've been grinding hard this year so this offsite idea is not just a fun team trip.

We are investing in the team, the culture, and the energy that keeps us building cool stuff.

Can't wait to see everyone, let's go. 

P.S. we ordered a few extra swag pieces → if you want some GT gear, DM me and I'll see what I can do.

If your SDRs are starting their messages with “saw you commented on XY’s post on LinkedIn ”... we need to talk.

because that's not what gets replies 👀

Here's the thing about outbound:

Most of the advice sounds smart until you realize it's killing your results.

- High volume without the right system kills your deliverability. 
- Personalization doesn't equal relevance

And your ICP is probably missing the actual buying triggers 🤷

Focus on 6 universal concepts to get results:

→ Consistency beats volume 
→ Timing beats compliments 
→ Real intent ≠ blog visits or social likes 
→ Reply speed matters more than sequence perfection 
→ Most ICPs are built on the wrong data 
→ SDRs waste 70% of research time on irrelevant stuff

the one that hit hardest?

replies handled in 5 minutes convert 7× more meetings
Wild… isn’t it?

So, if your outbound feels like you're working harder but not getting better results...

It's probably not your effort but where you're putting that effort.

Save the cheatsheet and share with your friends.

Hope it helps someone out there.

Follow Jani for more outbound stuff.

You probably think outbound is broken.
But honestly… you’re just staring at the wrong stuff.

- Spam filters
- competitors
- budget cycles
- market saturation

Refreshing dashboards as they’ll magically fix your pipeline 🙃

None of that moves the needle.

What changes everything is shifting your focus to what you actually own.

That inner circle.

What you say.
Who you target.
How clean your data is.
How fast you follow up.
How consistent your reps are.

That’s where leverage lives.

When you get the circle of control right,
the circle of influence takes care of itself.

Better replies.
Better meetings.

Everything outside of that?

Good to know.
Bad place to build a strategy.

So if outbound feels chaotic or unpredictable…

Start inside the circle.
Pick one thing.
Fix it.

Then repeat 😉

P.S. Follow Jani Vrancsik for more outbound frameworks that actually work.

You can run outbound
But can your team actually generate a pipeline like the top performers?

You might feel yourself or your team is hitting the mark because you:

● Focus on the wrong/not “good enough” accounts
● Guess when buyers are open to chat or ready
● Lack of data in the CRM, no data foundation
● Personalize superficially 

High-performing teams do it differently, and it’s not about working harder.

They focus on their clear ICP, signal-led or value-led outreach, use automation where it adds value, create repeatable plays, and use learnings from replies to consistently iterate as a sales team or as a whole team instead of “just this doesn’t work”

Nothing will work if you give it up SOO fast. 

Nothing will work if you don’t provide value in your outreach (value ≠ one-pager) 

Or if your outreach isn’t timely and relevant (relevant = signal/sales trigger -> reason to reach out to see if they open to chat). 

In sales and marketing, you just REALLY have to be there when the time comes. 

You never know when that happens, so be #ATOM. 

Always Top Of Mind. ✌️

Lead always with questions, empathy, and value

You can’t go wrong with that. There’s nothing you can lose with that….

That’s why I put together a guide 👇

How High-Performing Sales Teams Generate Pipeline

Guide with the strategies top teams actually use, screenshots, and actionable plays you can use this week.

Want the PDF?

 ● Comment sales guide
 ● Or DM me,  I’ll send it over

Follow me for more outbound insights.

Your LinkedIn acceptance rate isn't a you problem.

It's usually one of these 7 mistakes.

We audited more than 30 campaigns this year and most of them faced the same issue

They had a solid offer, but the messages didn’t land.

You know why? because these small things were working against them

→ Pitching too soon
→ Sounding like a template
→ No warm up before the ask

This feels like a minor stuff until you realize it's costing you 40% of your acceptance rate

We mapped out 7 common mistakes and more importantly, how to fix them.
If your connection requests are sitting in ‘pending’ longer than they should, this might help.

P.S. I've definitely been guilty of #3 and #7 myself.

If I had to figure out who the best b2b saas companies are I’d follow this exact blueprint.

Saas is very jazzy 🥁 

Every day, there is a new company 👀 

or an acquisition
or a funding

but who are the ACTUALLY good guys to reach out???!
if your sweet spot is SaaS. You need to try this out

Here is the blueprint…

• Gain access to the whole buying committee at the target accounts, not just one contact 
• Use accurate, continuously updated data 
• Reach multiple decision-makers per account 
• Focus on relevant messages over activity

I use saasyDB as part of the system because it gives me direct access to the right people consistently.

(… and I love working with SaaS!)

Repost 🍀 so this reaches someone who needs it. 
P.S. What’s your #1 goal for 2026?

I wasn’t expecting a package like this when I opened the door.

I do literally everything online.

Everything happens on calls, Slack threads, async docs, voice notes.

So when this received a personalized note + gift from lemlist, it hit different.

A custom gift to mark becoming one of their top agency partners in 2025.

This isn’t really about a year-end milestone,It’s about what sits behind it.

• Tight collaboration
• Testing. Iterating. Fixing what didn’t work
• Building trust without always being in the same room.

Thanks to Julia Guenier and Erwan Gauthier… looking forward to growing better together in 2026 too!

Love ya!

Something subtle I noticed about outbound teams that scale smoothly.

They spend time fixing data

Most teams do this loop without questioning it:
Import leads → enrich → fix bounces → re-upload → repeat.

It feels normal because everyone does it.
But it quietly eats time and focus

The teams that move faster design around this instead.
Their data stays usable by default.

Contacts are verified before anyone hits send.
SDRs focus on conversations, not cleanup.

Using better tools like BetterContact helps them remove a whole category of work from the system.

- Less motion
- Cleaner execution
- Calme outbound

No big hack here, but just fewer things breaking
And honestly… that’s usually what makes the biggest difference.

What if the best sales strategy is... not selling?

Sounds weird, but bear with me

The best sales conversations I've had didn't feel like selling at all.
They felt more like problem solving with someone who genuinely gets it

→ calling out the blockers they didn't know existed
→ sharing frameworks I used to gatekeep
→ asking questions that created clarity
→ telling stories where the system won, not just me

So, here's what I've noticed…

When you teach what others hide, you build trust that no pitch deck ever could

And, I am sharing 7 rules that changed how we approach this.

Swipe the carousel to explore them 👇

If this relates with how you approach sales, or if you've found something totally different that works

I’m happy to hear about it

p.s. Follow Jani for more outbound Insights

7 Rules To Sell Without Selling

LinkedIn wasn’t supposed to feel like a second full-time job…
Yet somehow it turned into:

- Send DMs
- open LinkedIn
- chase follow-ups
- pray nothing gets restricted

If you’re still doing outreach manually, you’re not bad at sales.
You’re just doing sales on hard mode

You know what?…

LinkedIn actually works really well…
(when it’s not powered by caffeine and memory 💪)

Once outreach runs in the background:

replies feel easier to manage
follow-ups stop slipping through the cracks
momentum doesn’t vanish when you close your laptop

That’s why we use Aimfox.

Not to sound robotic.
Not to spam.

Just to let LinkedIn do its thing while we… can’t always have the time to 
follow through

Fewer pending DMs.
Better follow-ups.

More conversations.
More interesting replies.

LinkedIn, but chill!

12 buying behavior models that changed how we approach outbound.
Something I've learned after years in outbound:

Most outbound don't fail because of bad copy but because it fails to connect with how buyers actually think. 🤷🏻‍♀️

We obsess over personalization tokens, cadence length, reply rates…
but rarely ask: "wait, how do buyers even make decisions?"

So I pulled together 12 mental models that changed everything for us (and our clients).

From first principles buyer psychology to the buying tipping point.

Outbound should be relevant, timely, and trust-building

not just more emails. better frameworks for understanding buyers 

because when you nail that → everything else clicks. ✨

if you're leading outbound in 2026, save this.

you'll use these way more than any template.

15 plays you can easily replicate to generate more sales conversations this week.

We usually think that we need more leads or more tools to bring more meetings.

But that’s not the case 💡

Typically, meeting rates decline because sales reps lack access to a proper system, leading to inconsistent follow-ups, ineffective lead routing, and minimal to no relevant value in outreach.

So, I created a guide with 15 plays that we actually use ourselves to increase meeting rates, including sections like …

→ hyper-personalizing with activity signals
→ Multi-threading accounts early
→ Instant calendly routing
→ No-show recovery within 24 hours

Small, relevant, and actionable tips you can use today

This guide breaks down all 15 plays with examples and screenshots

If your meeting rate feels stuck, this might help…

Comment "play," and I'll send it over.

Make sure we are connected! 🤙

every board meeting now has "how are we using AI?" on the agenda

CEOs know AI should drive GTM efficiency but: 

sales focused on closing, marketing on campaigns, RevOps on fires no one has bandwidth to actually BUILD the AI-powered systems result:

- tools bought but not implemented
- pilots started but never scaled
- innovation theater, not real results

Partner with someone who's ALREADY built AI GTM systems

we bring: 

→ Clay + AI enrichment (automated research) 
→ automated prospecting (sequences that sound human) 
→ lead scoring (AI prioritizes high-fit accounts) 
→ CRM orchestration (clean data, no manual work)

suddenly: 
CEOs can tell board "we're using AI to scale GTM" teams are more productive without hiring more headcount growth is predictable, not chaotic

turns out, most "AI adoption" = outsourcing it to experts

you don't need to build an AI team. you need a partner who already knows how.

what helped our clients:

1️⃣ we implement the AI systems (Clay, enrichment, automation) 
2️⃣ we run the operations (or enable your team to run it) 
3️⃣ we prove ROI quickly (so you can show the board results) 
4️⃣ you get the credit for innovation (we're behind the scenes)

once the system is running, you're the visionary CEO who "leveraged AI for growth"

would love to hear: what's your board expecting from AI this year?

taplio

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The Battle

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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

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