Bill Stathopoulos

Founder

👋 I'm Bill, and here's my story:

1. Building SalesCaptain, an Outbound & AI GTM agency for B2B SaaS to $3M+ ARR, while being a digital nomad for 4 years.
2. Authored a book - "Cold Email Secrets"
3. Scaled a Growth Marketing Agency to $1M ARR at the age of 28. Grew the team from 7 to 25+ employees in 3 years. Closed clients like Nestle, Revolut, GE, and the Singapore Airport.
4. Helped multiple startups go from zero to $5M+ revenue in 18 months since 2015
5. Trained 2,500+ Growth Marketers in the last 5 years
6. Built the speakers lineup for Ad World, with 50k+ attendees and 100+ speakers, making it the largest advertising conference in the world
7. Interviewed Seth Godin, Scott Galloway, Arianna Huffington, Rory Sutherland, the CMO of Samsung, the CMO of Hubspot, and 30+ world-class Marketing executives.
8. Published the book “Cold Email Secrets”, the bible of modern Outbound & GTM. 
9. Named “Top Lead Generation Voice” on LinkedIn in 2024
10. Became the Clay Club Host in London, leading a team of 15+ GTM Engineers

What you'll get working with me:
🧲 Your Go-To-Market (aka GTM) Strategy
🏀 Optimize your Marketing channels; make the most of your budget
🏆 Build systems for User Acquisition, Activation, Retention, and Revenue

Peace, love & growth ✌️

Bill

Co-Founder

We build and scale Outbound Sales systems that include multi-channel prospecting, lead response, and our cutting-edge processes to help you build your business.

This is the exact stack we're relying on to get us to $6M ARR. 
After working with 70+ GTM teams, testing 125+ tools, here is what stayed.

To get from $0 to $3M we ran a much bigger stack.
It worked, but the tools got better and we got smarter about what we actually needed.

So we simplified our stack.

This is what stayed, organized by job to be done:

0. The Engine

→ Clay: data orchestration. Every source plugs in, every workflow runs through it
→ n8n: where our agents live and automations run 
→ Claude: research, intelligence, copy

1. Finding the right accounts 

→ Apollo: targeted lists 
→ LinkedIn Sales Navigator: full stakeholder mapping 
→ Ocean.io: lookalike companies once you've nailed an ICP

2. Capturing buying intent

→ RB2B: identifies warm website visitors
→ Trigify.io: catches LinkedIn engagement signals before your competitors do 
→ Common Room: monitors your CRM accounts and flags when it's time to reach out

3. Getting clean contact data

→ FullEnrich: phone + email waterfall 
→ Prospeo: fills the gaps for specific cases 
→ ZeroBounce: validate before you hit send

4. Personalizing at scale

→ Claygent: account research on autopilot 
→ Twain / Octave: purpose-built copy tools for teams that want alternatives

5. Reaching out
 
→ lemlist: best multichannel 
→ HeyReach.io: LinkedIn DMs at scale, zero bans 
→ Instantly.ai: cold email with warmup + rotation built in 
→ Salesfinity: cold calling that actually books meetings

6. Closing and tracking
 
→ HubSpot: still the best CRM if you use it right 
→ Attio: our recommendation for teams under 50 
→ Qwilr: proposals that move deals forward async 
→ Sybill/ Claap so reps spend time selling, not taking notes

That's 23 tools across 6 layers.

The catch is: you don't need all of them.

We run this many because we work across 70+ clients, different industries, different ICPs, different motions that are built for their specific case.
(What works for a PLG SaaS won't work for an enterprise services firm.)

But the logic behind every tool is the same:
Signal → Enrich → Personalize → Reach out → Close → Learn
Each tool has one main job, each job feeds the next.

What's the one tool you'd never cut? 👀

CEO, SalesCaptain | Clay London Club Lead 👑 | Top lemlist Partner 📬 | Investor | GTM Advisor for $10M+ B2B SaaS

We're building toward $6M ARR, 
Signal-led outbound is the bet... Here's every signal worth tracking in 2026 👇
 
🟢 1st Party (The signals you have, nobody else has access to this)

- Website Visitors:
RB2B
Midbound
Warmly,

- Product Usage
Common Room
Pocus

- LinkedIn Signals
Trigify.io
Clay
Expandi

- CRM Data
HubSpot
Close
Attio

- Call Transcripts
Fathom.ai
Attention
Claap
 
🔵 2nd Party (these are shared by your ecosystem: from partners, platforms, and communities your buyers are already part of)

- Champion Tracking
Clay
UserGems 💎
Unify

- Ad Engagement
ZenABM
Fibbler

- Affinity Signals
Crossbeam
The Swarm

- Review Sites
G2
Capterra
 
🟡 3rd Party (These are inferred from public data, it's everything happening in the market.)

- Job Openings
Clay
PredictLeads
LoneScale

Funding
Crunchbase
PitchBook
Clay

Technographic
BuiltWith
HG Insights
Clay

Custom Scraping
Apify
Claygent
Firecrawl

Firmographic Data
BetterContact 
Apollo
Clearbit
Clay
 
P.S. We turned everything we learned into "The Intent Signals Playbook".
26 pages, every signal type, every tool, and every workflow.

Comment SIGNALS and I'll send it over.

search-magic

salescaptainio

scicord-llc

pixofix

madbold

$45+ Billion in GTM software valuations, from just 9 tools on this map!!
There are 80+ on here!

(And most weren't built in Silicon Valley.)
 
V2 of the 🌍 Global GTM Map is here.

After dropping the first GTM map last week,
the comments became a map of their own.
Founders and GTM operators tagging tools, adding countries, calling out what I missed.

So I updated it.
 
+20 New tools, +3 new countries, same mission:
Showing that GTM is now a global movement.
 
A few things that you can see from the map:

→ There is a concentration of tools in France, UK and Estonia
→ France is leading enrichment
→ Estonia coming strong in email outreach
→ The US still leads on signals and intent
→ The UK is dominating AI video & voice
→ Bulgaria, Canada, and Ireland just joined the map
 
The tools that got the most love in the comments:

🇺🇸 Clay
🇫🇷 FullEnrich 
🇫🇷 lemlist
🇪🇪 Instantly.ai
🇲🇰 HeyReach.io
🇺🇸 RB2B 
🇬🇧 Synthesia
🇬🇧 Attio
🇺🇸 Zapier 
🇩🇪 n8n

New additions include:
🇺🇸 Lovable 
🇫🇷 Claap 
🇧🇬 clearcue.ai
🇨🇦 EmailBison
🇮🇪 Trigger.dev
🇺🇸 Chili Piper
🇺🇸 Artisan
🇺🇸 Calendly
🇳🇱 Signalbase
 
What's the best GTM tool from your country that didn't make the map?

Claude Code went from $0 to $2.5B in under a year!
We spent 3 months figuring out how a GTM team should use it. Here's everything we found..
 
LinkedIn is giving you FOMO about Claude Code,
but nobody is explaining how it actually fits into GTM.
 
We built the playbook that answers that.
 
Whether you're an AI expert or this is the first time you hear about Claude,
this resource has everything you need to get started, like:
 
1️⃣ Setup in 10 minutes, no dev background needed
2️⃣ Your first win in 60 minutes, copy paste prompts included
3️⃣ 12 playbooks every GTM team should build first
4️⃣ The full 8-step outbound campaign pipeline
5️⃣ CLAUDE.md templates by GTM motion
6️⃣ 25 workflows by GTM role, SDR, AE, Marketing, RevOps, CS
7️⃣ What NOT to automate, and the readiness checklist
 
Every workflow in it is running in production today.
 
We gave early access to our newsletter subscribers, the response was overwhelming.
Now we're making it public, for free.
 
Comment CLAUDE and I'll send it over.

100+ hours tracking LinkedIn feeds.
These are the 50 GTM voices worth your attention in 2026.
 
These are the people moving the needle in GTM right now.
Sharing frameworks you can steal on a Monday morning.
Building and leading the companies defining how B2B revenue is won in 2026.
 
A few highlights 👇

Kyle Coleman: redefining how AI should actually plug into your sales motion, not just your copy.

Chris Walker: the person who was right about the dark funnel before the rest of the market caught up.

Kyle Poyar: if you touch pricing or PLG, his Growth Unhinged newsletter is the closest thing to a cheat code that exists.

Adam Robinson: bootstrapped RB2B to $7.5M ARR by turning building in public into a real distribution engine.

Andrei Zinkevich and Emilia Korczynska: the most consistently rigorous ABM thinkers posting on LinkedIn.

Plus top voices from Clay, lemlist, Salesforge.ai 🔥and others.
 
I'm on the list too 😎 I share what we're learning at SalesCaptain in real time: the workflows we run, the outbound playbooks that actually convert, what's working in GTM right now and what isn't.
If any of this is useful → hit Follow, I post 4-5 times every week.
 
Full list in the creative,
Everyone else tagged in the comments 👇

Clay hit $100M+ ARR without a traditional sales army.
Because Clay's best customer is Clay.
 
They use their own product to run their entire GTM, and it helped them scale to $100M ARR and a $5B valuation, serving 15,000+ customers including OpenAI, Canva, and Google.
 
This Thursday, at 🇬🇧 Clay Club London, Clay's Co-Founder Varun Anand is breaking down the actual operating model.

You’ll see:
- How Clay uses Clay internally
- How website intent becomes outbound action
- How workflows replace manual prospecting
- What stays human, and what doesn’t
 
Plus:
Yash Tekriwal 🤔 is walking through Clay’s internal education and enablement engine.
lemlist and Dealfront are joining the operator roundtable.

And I’ll be doing a live breakdown of how we build signal-driven GTM systems for clients right now.

Real workflows + open Q&A.

If you're in London, you don't want to miss the insights (and the people) in this room.

Registration link is in the first comment.

See you there 🔥 😎

undefined undefined

"Should I just use Claude Code instead of Clay?"
"What about n8n or Make?" ,"Do I even need Zapier anymore?"

We get these questions every week across 70+ clients. 
The confusion is understandable. 
Here's the answer nobody's giving you.

You don't need all 5 of these tools. 
You need to know what each one does, pick the ones that match your stage, your team, and your budget.

1. Claude Code

✅ Calls any API, writes and runs its own scripts 
✅ Replaces tasks that used to need a developer 
✅ Cheapest of the five ($20/mo base)

❌ Your code and prompts go to Anthropic's servers (data privacy concern) 
❌ No visual interface (non-technical will have a steep learning curve) 
❌ Needs deployment setup to run autonomously 
❌ Cost spikes with heavy API usage

Best for: Scale stage teams ready to automate custom workflows

2. Clay

✅ Best B2B enrichment on the market (waterfall 15+ providers) 
✅ Visual, non-technical friendly
✅ Native AI built in (Claude, GPT, Gemini)

❌ Won't run on its own  
❌ Credits stack up fast at high volume

Best for: Any stage, the GTM tool most teams start with

3. n8n

✅ Runs 24/7 autonomously 
✅ Self-hosted = zero per-op cost
✅ Full logic control, AI agent nodes built in

❌ Steep learning curve 
❌ Every API update = manual fix on your end 
❌ Managing 20+ client instances needs a dedicated person

Best for: Scale stage (only with a dedicated GTM engineer)

4. Make 
✅ Visual drag-and-drop, no code needed 
✅ Affordable entry point ($9/mo) 
✅ Runs 24/7

❌ Hits its ceiling fast on complex logic 
❌ Not built for serious GTM engineering at scale

Best for: Growth stage teams who need automation without hiring a developer

5. Zapier 

✅ Easiest to set up 
✅ 6,000+ integrations 
✅ every team already knows it

❌ Most expensive at scale 
❌ Not built for complex GTM logic (you'll outgrow it fast)

Best for: Early stage, or simple triggers at any stage

The clients who get this right early save 3-6 months of rebuilding. 
The ones who don't always come back saying they wish they'd started smaller.


Which of these are you currently running?

40% of our outbound now runs on Claude Code.
Here are the 25 workflows making it happen, broken down by role.
 
👨‍💼 SDR / Business Development

1. Signal-triggered outbound
2. LinkedIn engagement scraping
3. Job-change tracking
4. Competitor evaluation targeting
5. Influencer outreach automation
 
💼 Account Executive

6. Meeting prep brief
7. BANT call analysis
8. Recovery email after tough calls
9. Buying committee mapping
10. Deal intelligence from transcripts
 
🤳 Marketing

11. LinkedIn ads via API
12. Content-to-pipeline workflow
13. SEO content pipeline
14. Win-loss messaging analysis
15. Sales calls to content
16. Event attendee outreach
 
💰 RevOps

17. Pipeline forecast check
18. Custom signal enrichment
19. Positive reply routing
20. Weekly pipeline digest
21. Lead magnet follow-up automation
 
🤝 Customer Success

22. Champion departure response
23. Renewal intelligence
24. QBR preparation
25. Account health scoring
 
These workflows are built on:

Claude Code 
Clay
Apollo
HubSpot
HeyReach
lemlist
Instantly.ai
RB2B 
Fathom.ai
Slack
n8n
 
We documented all 25 in detail in the Claude Code GTM Playbook, exact prompts, setup steps, tools and 30-day plan for using Claude Code in GTM included.

Comment CLAUDE and I'll send it over. 👇

25 Claude code Workflows for GTM teams

Here's the full ABM stack we're using to hit $6M ARR
200+ ABM campaigns taught us which tools actually matter. 

P.S. The top 1% GTM teams in 2026 are running seven layers, the rest 99% run only three.

1. Intent Signals
Unify
Bombora
Common Room
 
2. LinkedIn Ads & Tracking
ZenABM
Fibbler
LinkedIn Campaign Manager
 
3. Website Visitors
RB2B
Midbound
Warmly,

4. Data Orchestration
Clay
Apollo
Sales Navigator

5. Outreach
Instantly.ai
lemlist
Salesforge.ai 🔥
HeyReach.io
 
6. AI Layer
Claude
Claygent

7. CRM & Ops
HubSpot
n8n
Zapier
 
💡 One tip we learned after 200+ campaigns:
The main reason ABM fails is because you're reaching one person at a company, not the buying committee. 
Fix your contact coverage first.
(Match rates went from 40% to 80%+ for our clients when we did 🔥)
 
What's the one layer missing from your current ABM stack?

We analysed 6,000+ signals across 200+ B2B campaigns.
These 9 generated $2M+ in pipeline.
The rest were just noise.

Last month we ran a webinar with lemlist about signals, 1,200 people showed up.
Most of them had the tools, Clay, RB2B, Bombora... you name it.

They all had signals,
But almost none had a system for what to do with the signals.

They had the tools, not the playbook.
So we wrote it for you.

A comprehensive resource (9 chapters) on:

→How to find the signals UNIQUE to your business (that your competitors don't have)

→ How to prioritize the accounts they surface (the exact scoring matrix) 

→ What to do at every stage: TOFU, MOFU, BOFU 

→ What to say when a signal fires (the AI personalization framework) 

→ 17 signal types + the full GTM tech stack to run it all

Everything we use at SalesCaptain and across 70+ clients
Nothing held back.

Comment SIGNALS and I'll send it over.

We used these 7 signals to generate 20+ meetings/month and $1M+ in pipeline, ONLY from LinkedIn.
Here are the signals, the steps and the tools we used:
 
1. LinkedIn Ad Engagers → They engaged with your ad but never clicked. Capture, enrich, reach out.

2. LinkedIn Harvesting → 3+ engagements from the same person. 
Auto-DM + follow-up email.

3. Event Attendees → New events in your space every Monday. 
Find who's attending first.

4. Keyword Engagers → Someone posts about the exact problem you solve. 
You show up.

5. Followers Outreach → They followed your page. Enrich, classify, personalize, reach out.

6. Competitor Followers → Already in the market. 
The warmest outreach you'll ever run.

7. Decision Maker Connect → Meeting booked → full buying committee found → connected before the call. (This one alone changed how we close deals)
 
Most reps are waiting for prospects to raise their hand.
These workflows find them the moment they show intent, before they even know they need you.
 
Tools used across all 7:

LinkedIn
Clay
HeyReach.io
lemlist
Trigify.io
Common Room
PhantomBuster
HubSpot
ZenABM
Instantly.ai
Calendly
 
Workflow 06 is the one most people skip because it feels too aggressive. It's also the one I'd start with.

Which one are you running? 👀

7 LinkedIn workflows that generated $1M in pipeline

HeyReach just got banned by LinkedIn ❌ 
We've run 200+ campaigns with them. Here's my opinion 👇

Of all the LinkedIn tools out there, HeyReach was one of the most careful.

They respected rate limits.
They built for safety.
They did everything right
... and they still got banned.

Which means no one is safe.
Because this isn't about compliance.
 
LinkedIn is playing a different game entirely.
Every tool that monetizes their data better than they do is a target.

Automation tools first.
Then enrichment.
Then analytics.
 
LinkedIn is closing the loop, slowly, then all at once.
Worth noting, existing campaigns are still running, users are not affected.
 
The right question to ask isn't "which tool do I switch to?"
It's: 
"How much of my GTM is built on a platform that can pull the plug overnight?"
 
Curious what others are thinking here.

Clay just dropped a major pricing update (March 2026)🆘
Here's who benefits, who should pay attention, and what most people missed.
 
🟢 BIG WINNERS

→ Teams doing heavy enrichment with Clay's marketplace 
Data costs just dropped 50–90%.
Your budget goes a lot further from day one.
 
→ Teams that wanted CRM + Web Intent but couldn't justify $800/mo
Those features now unlock at $495/mo on the Growth plan.
That's the biggest access shift in this update.
 
→ Heavy Claygent users Clay says 85% of AI users will pay less.
Frontier models now pass through at cost, zero markup.
 
🟡 WATCH OUT

→ Pro plan users running workflows on your own API keys 
Three things to know:
 
1️⃣ You may see a price increase, Clay admitted the old Pro plan was mispriced

2️⃣ Using your own API keys DOES consume Actions, this is the detail most posts are missing.

3️⃣ Even a single HTTP API call to your own database now requires the $495 Growth plan

→ Heavy credit users (70K–100K credits/month)

One user publicly shared their math:
Currently paying ~$1,500/mo.
To maintain the same volume on new plans → $3,500–5,000.
If you're in that range, model this out before you switch.
 
→ Solo GTM engineers and individuals

Clay essentially coined the GTM Engineer role.
But higher fixed costs raise the barrier for people just getting started.
Worth flagging honestly.
 
→ Anyone assuming Actions = Credits
They're not.
Actions measure platform work, 1 action per task, regardless of data spend.

The good news: 90% of customers will never hit their limit.
 
What does NOT consume Actions: Lookups, CRM imports, webhook imports, CSV exports.
 
🔵 THE BIGGER PICTURE
 
Clay is separating what the platform does from what the data costs.

For GTM teams, that clarity matters, and it sets them up to charge properly for the orchestration features coming next.
 
Across the 70+ clients we run GTM for, 
the teams that will feel this most are the ones doing serious enrichment work inside Clay, and for them, this is a genuine win 🏆 
 
Clay also publicly said this will cost them 10% in revenue short term.
That's not a company optimizing for quarterly numbers, that's a bet on the right model winning.
 
If you've been sitting on the fence because the credit model felt unclear, this changes that.
 
On a legacy plan?
You have until April 10 to decide.
You can stay exactly where you are. No forced migration.
 
Where are you right now with Clay? 👀

- Heavy user evaluating the change
- Considering Clay for the first time
- Confused about Actions specifically

Drop it in the comments, happy to help if I can.


*image via Everett Berry.

We went from $0 to $3M ARR using cold email.
The tools that got us there? Half of them don't exist in our stack anymore.

It's not because they're bad tools, but because the market moved.
 
Cold email in 2026 looks nothing like 2022, here are 10 differences:
 
1️⃣ Sending moved from basic sequencers to multichannel-first tools Instantly.ai lemlist

2️⃣ Data moved from static databases to waterfall enrichment 
Clay

3️⃣ Validation moved from manual to automated 
ZeroBounce

4️⃣ Personalization moved from Mail Merge to AI at 1:1 scale 
Clay Claude

5️⃣ LinkedIn moved from manual outreach to 30 profiles running simultaneously HeyReach.io

6️⃣ Email only outreach is replaced by Multichannel Email + LinkedIn + WhatsApp + Calls 
lemlist

7️⃣ Automation moved from Zapier clicks to plain English workflows 
n8n Claude Code

8️⃣ Deliverability moved from guessing to knowing before you send 
GlockApps Folderly Inc.

9️⃣ AI research moved from hours to minutes 
Claude Claygent

🔟 Infra moved from 1 domain to 10+ minimum 
Mailforge - Cold Email Infrastructure 📈
 
We're building toward $6M ARR.
The modern stack in this image is part of what we're betting on.
Share it with your network 🔁 
 
P.S. We put together SalesCaptain's full "Cold Email Playbook" (infrastructure, sequencer setup, drafting emails, stack...etc the whole thing) 
Comment COLD and I'll send it over.

Bad email infra costs the average GTM team $2,000+/month in wasted tools.
Here's what you actually need at every budget level.
 
💰 $500 Stack 
For solo founders and new GTM teams testing cold email. 
Goal: Test messaging fast + keep reputation intact.

Inbox Provider: 
Gmail
Outlook 

Sending:
Instantly.ai
Smartlead 

Warm-up:
Built-in (both) 

Verification:
ZeroBounce
Bouncer 

Health Monitoring: 
GlockApps
Instantly.ai reports 

AI Personalization:
Claude 

Automation:
Zapier 

Domain Setup:
Namecheap + Cloudflare

⚙️ $1K Stack 
For growing teams running consistent outbound and early multichannel. 
Goal: Stable inboxing + visibility into what's working.

Inbox Provider:
Mailforge - Cold Email Infrastructure 📈
Zapmail.ai 

Sending:
lemlist 
Salesforge.ai 🔥

Warm-up:
Mailforge Warm
Clay Signals 

Verification:
NeverBounce by ZoomInfo
ZeroBounce 

Health Monitoring:
MailReach
Mailsuite 

AI Personalization :
Claude
Claygent 

Automation:
n8n

🚀 $5K Stack 
For GTM teams sending 100K+ emails/month or agencies running multi-client. 
Goal: Predictable deliverability at volume, automated, monitored, CRM-connected.

Inbox Provider:
Mailreef
Inframail 
Mailscale 

Sending:
Lemlist
Outreach
Salesloft 

Warm-up:
Folderly Inc. 
Warmbox 

Verification:
ZeroBounce
MillionVerifier 

Health Monitoring:
Mailreach Premium 

AI Personalization:
Claude
Claygent
Twain 

Automation:
n8n
Clay
HubSpot CRM sync 

Reputation AI:
Mailscale active recovery
 
We mapped all three stacks into the slides above.
Swipe to see if you're overpaying for your current setup

P.S. If you want the FULL "Cold Email Playbook" Let me know in the comments below 👇

Cold email infra by budget 2026

The worst thing that can happen to your business : being INVISIBLE to your best buyers.
 
They're ready to buy,
You have no clue!
Because you don't know it's the right moment to reach out.

That's what signals fix.
 
Signals tell you who is in buying mode, right now.

Most teams use 1 or 2.
The best teams stack signals from all 3 layers simultaneously
and that's what separates 1% reply rates from 5%+.
 
Here's every signal type worth tracking in 2026 👇
 
🟢 1st Party (The signals you have, nobody else has access to this)

Website Visitors → RB2B · Midbound · Warmly,
Product Usage → Common Room · Pocus
LinkedIn Signals → Trigify.io · Clay · Expandi
CRM Data → HubSpot · Close · Attio
Call Transcripts → Fathom.ai · Attention · Claap
 
🔵 2nd Party (these are shared by your ecosystem: from partners, platforms, and communities your buyers are already part of)

Champion Tracking → Clay · UserGems 💎 · Unify
Ad Engagement → ZenABM · Fibbler
Affinity Signals → Crossbeam · The Swarm 🔆
Review Sites → G2 · Capterra
 
🟡 3rd Party (These are inferred from public data. Everything happening in the market.)

Job Openings → Clay · PredictLeads · LoneScale
Funding → Crunchbase · PitchBook · Clay
Technographic → BuiltWith · HG Insights · Clay
Custom Scraping → Apify · Claygent · Firecrawl
 
P.S. We turned everything we learned about signals into "The Intent Signals Playbook".
26 pages, every signal type, every tool, and every workflow.

Comment SIGNALS if you want to get it.

The only Signals playbook you will ever need.

https://lnkd.in/d7J3_JRR

Ashley Wright

Want to scale your brand to $100k+/mo with TikTok Shop?👋

Are you struggling to see the results you want on TikTok Shop?

Over the past two years, I've generated over $80,000,000 on TikTok for some of your favorite brands.

A few of our current and past clients include:
- Loop Earplugs
- Divi
- Petlab
- Mylee
- SNOW
- Stars + Honey
- Surreal
- Style Edit
- Thread Beauty
- Little words project

This success isn't just luck it's about understanding the platform, pushing boundaries, and being unafraid to test what works.

Brands used to doubt TikTok's ROI potential, but that's never been the case. With TikTok Shop, the ROI is clearer than ever.

If you're ready to create a whole new revenue channel with TikTok, here's how I can help:

1. Follow me on LinkedIn for daily TikTok Shop insights (scroll up and hit the bell to get notified).

2. Watch my FREE TikTok Shop Playbook (DM me "Playbook").

3. Want my agency to manage your TikTok Shop? (DM me "Support" and I'll share the details).

Glad you dropped by. 
To your success!

Mentor

1:1 video mentoring sessions with the world’s most in-demand startup mentors.

Your team ran a TikTok Shop test for 2 months, didn't see results, and shut it down.

Now you're saying TikTok Shop doesn't work.

The thing is, you didn't actually test TikTok Shop. You tested with outdated methods and called it a channel test.

TikTok Shop doesn't work in 2 months because the algorithm needs time to learn what actually converts for your product.

Creators need to post multiple times to figure out which hooks land. Your audience needs to see the product 3-4 times before they trust it enough to buy.

The brands doing $100k+ on TikTok Shop didn't get there in a couple of months.

They spent time building the infrastructure, testing content angles, and finding which creators actually move product.

Then they scaled what worked.

You can't judge a new channel the same way you judge a Meta ad campaign. Different platform, different timeline, different mechanics entirely.

Think about it this way:

Would you launch a new retail store, see zero customers in week 1, and immediately shut it down before you even finished setting up the shelves?

That's basically what your TikTok Shop test was.

Most brands kill TikTok Shop before momentum even has a chance to compound. Then six months later, they're watching competitors scale.

The reason why the TikTok shop isn't working for you is that you didn't give it enough time to actually work.

Helping 8+ Figure Brands Win on TikTok Shop | CEO of Social Tale | Speaker | Social Commerce Growth Expert | DM for growth, audits, or collabs

Happy to share that I’ll be speaking at TopTier Discovery Commerce Summit 2026 in Los Angeles.

I’ll be sharing insights on how operators are driving scalable growth with the Secret Sauce of 8-Figure TikTok Shop Brands.

This summit brings together top ecommerce founders, creators, and ecosystem partners for two days of tactical insights and high-level networking.

If you’re attending, come say hi!

Comment below "CODE" if you'd like a 15% discount code for tickets.

Khairul Aming just did RM2.3 million in sales in a single day on TikTok Shop.

That's ~$589K USD from one 12-hour livestream.

He sold 51,700 products and got. 5.42 million views.

TikTok Shop LIVE has already proven in Asia.

In Malaysia, Indonesia, Thailand, creators are doing 6-7 figures in single sessions.

Most brands in the US and UK are stuck posting 3x/week, hoping something hits.

They haven't even tested LIVE yet.

Meanwhile, the playbook already exists.

Here's what Khairul did that you can copy:

He ran a 12-hour livestream set up like a virtual Ramadan bazaar with different product stations.

He rotated through curated products from 14 local brands. He answered questions in real time. He created urgency with cash giveaways and limited-time offers.

And people bought.

This is what TikTok Shop rewards in 2026.

Not polished brand content.
Not hoping a video goes viral.
Not waiting for the algorithm to pick you.

Real-time engagement.

The infrastructure exists in the US and UK now. The audience is ready. The conversion mechanics work.

But most brands think LIVE is "too much work" or "not professional enough."

So they're leaving 6-7 figure revenue opportunities on the table.

Are you testing LIVE for your brand?

TikTok Shop Setup Checklist for 2026.

The exact steps we use to launch brands from $0 to first sales on TikTok Shop:

If you need help implementing this: https://lnkd.in/gV5_Ab9Z

We're watching 3 things break inside TikTok Shop accounts right now.

Not gradually. In the last 60 days.

1. Sample quality collapsed

One of our brands before working with us was sending 400+ samples a month. 

Creators were posting, but the content was lazy. Generic unboxings. No hook. No angle. Just "look what I got" videos that generated views and zero sales.

The obvious move is to cut samples and shift budget to retainers with clear briefs.

The strategic move is harder, figuring out which creators actually drive GMV versus which ones just post for the sake of posting, restructuring your entire pipeline without killing momentum during the transition, and doing it while your competitors are still flooding those same creators with free product.

We rebuilt this for 3 accounts last month. Each one needed a completely different approach.

2. Commission-only is getting ignored

Top creators are sitting on 30-40 brand offers at any given time. Commission-only doesn't get you to the front of the queue anymore.

But the answer isn't just "pay creators more." We've seen brands throw retainers at the wrong creators and burn through budget faster than they did with samples.

The question isn't whether to pay. It's which creators justify investment, what deal structure actually locks in consistency, and how you avoid overpaying for content that doesn't convert.

That's a judgment call that looks different for every category and price point.

3. The algorithm changed what it rewards

Brands that built their entire strategy around waiting for one creator to go viral are getting outpaced by brands building systematic content velocity.

But "just post more" isn't a strategy either. We've seen brands push volume with low-quality content and tank their shop score. The balancing act between volume, quality, and algorithmic signal is genuinely hard to get right.

The brands scaling right now aren't the ones who spotted these shifts first.

They're the ones who had the infrastructure to adapt without losing momentum.

That's the part most people underestimate.

Most brands think their TikTok Shop strategy isn't working.

Usually it is working, but it's leaking.

We audited a brand last month doing $50K/month in GMV. Looked healthy on the dashboard.

Under the surface, they were hemorrhaging budget in 3 places they hadn't even thought to check.

Creators who took samples weeks ago and never posted, as they had a logistics issue, but nobody was tracking it, so samples kept going out. 

Commission structures were set at launch and never adjusted, even though category benchmarks had shifted. 

Content is generating views, but converting at a fraction of what it should. None of these showed up in their weekly GMV report. Every one of them was compounding.

The fix wasn't one thing. 

It was different for each leak. 

Some needed operational changes, some needed creator relationship restructuring, and some needed a complete rethink of which SKUs they were pushing.

The uncomfortable truth is that most brands don't know where their budget is actually going on TikTok Shop. They see top-line GMV and assume the machine is running efficiently.

It rarely is.

2022: brands won TikTok Shop by sending the most samples.
Today: the brands winning built the best creator systems.

You can have a great product.

But if you’re still:

• Sending samples randomly
• Chasing views instead of GMV
• Briefing creators with no framework

You’ll struggle to turn content into revenue.

And there is no prize for being the brand with the most creator posts that convert nothing.

Sampling still matters.

But the advantage today is structure.

The brands scaling TikTok Shop build a system:

1) Send samples to creators with proven GMV, not just followers
2) Brief them with a content framework that converts
3) Track who drives sales, not just views
4) Retain top performers as repeat creators
5) Align creator drops with campaign moments

Within 30 days you know who converts.

Within 90 days you have a core creator group driving consistent GMV.

Within 6 months the channel compounds.

Lower CAC.

More predictable revenue.

A creator ecosystem that actually scales.

Most brands are still playing the 2022 playbook.

The ones building systems are already doing eight figures on TikTok Shop.

TikTok just released its 2026 trend report:

"People will come to TikTok for unfiltered stories and BTS moments, with most resonant brands showing real process and people over curated perfection."

This is why polished product videos aren't working anymore.

The brands winning on TikTok Shop in 2026 won't have the best brand guidelines.

They'll be the ones showing:

- Messy unboxings, not staged ones.
- Real customers in real situations, not actors.
- Behind-the-scenes of fulfillment and shipping.
- Actual product usage, not perfect lighting setups.

This is why creator-led commerce works.

Creators aren't polished and show the process.

Your 10-page brand guideline asking creators to match your aesthetic is the opposite of what audiences want.

TikTok Shop rewards what people watch.

And people want unfiltered, not curated.

Are you still optimizing for brand perfection or giving audiences the real stories they're craving?

Most TikTok Shop launches fail before the first creator even posts.

The problem isn’t the product.

It’s the launch plan.

Here are three mistakes I see constantly:

1. No performance framework for creators

Brands send samples and set commissions…

Then hope for the best.

But there’s no structure for:

• Reviewing performance weekly
• Adjusting commissions
• Scaling winning creators

So budget gets burned before the learning cycle finishes.

2. No hero SKU

Creators are promoting 6-8 different products.

Which means:

• No product gets algorithmic momentum
• Messaging stays scattered
• Sales stay flat

TikTok Shop rewards product concentration, not catalog exposure.

3. No clear product narrative

Every creator tells a different story.

Different claims.
Different angles.
Different positioning.

So the algorithm sees noise instead of signal.

And buyers never fully understand the product.

Every one of these mistakes is preventable.

But most brands don’t realise the problem until three months in when nothing is moving.

TikTok Shop momentum starts with the launch structure.

Not the first viral video.

If I were in the marketing department at an 8-figure e-commerce brand tasked with scaling TikTok Shop, this is exactly what I would do to hit 7-figures in GMV in 90 days (we follow these 4 steps with all of our clients):

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Step 1: Align leadership on what TikTok Shop actually requires

I would start by making sure the C-suite understands that TikTok Shop isn't a "set it and forget it" channel.

This needs real investment upfront. Sample budget, creator commissions, and content testing. The first 60 days are about building infrastructure, not extracting profit.

If they're not willing to commit to 90 days minimum before judging performance, there's no point starting at all.

Then we'd set expectations together:

• Allocate minimum 250 samples per week
- Monthly ad budget of around $10-$30k and scaleable on performance
• Understand margins will be tight initially (20-25% commission 1st 90 days to get creators posting)
• Commit to weekly check-ins, not monthly reporting cycles

---

Step 2: Kill the full catalog launch

Most brands want to list everything. Wrong move.

I would pick 2-3 hero SKUs that have:
• Clear visual transformation or demo potential
• Strong existing reviews (4.5+ stars)
• Price point under $20-$80

Then drive 70%+ of revenue from those products for the first 90 days. Full catalog expansion comes after we've proven the model works.

---

Step 3: Build a creator pipeline, not a sampling program

I wouldn't send samples to 100 random creators hoping something hits.

I would identify 30-40 creators already selling similar products, narrow it down to 20 who actually engage their audience, and lock in 5-10 on retainers or premium commission structures (20%+ vs standard 10%).

One creator posting 10 times beats 10 creators posting once. The algorithm rewards consistency, and audiences need multiple touchpoints to trust a product.

---

Step 4: Optimize for speed, not perfection

I would kill the approval cycles that slow everything down.

Test 5 different content angles this week. See what drives GMV by Friday. Scale winners next week. The brands moving fast are learning what converts, while slow brands are stuck in planning meetings.

Weekly sprint cycles, not monthly campaigns.

---

This is the exact framework we use with brands doing 7-8 figures on TikTok Shop.

Most brands fail because they treat TikTok Shop like social media instead of performance marketing. Then, they wonder why they're not seeing results.

---

♻️ Repost to help your network, and follow me, Ashley Wright, for daily TikTok Shop strategies that actually drive revenue.

People think TikTok Shop is for cheap impulse buys.

In January, products over £100 generated 41% of revenue on TikTok Shop UK.

That's 15 times higher than the global average.

TikTok Shop isn't a discount channel anymore. It's a legitimate commerce platform where people buy home appliances, premium clothing, and high-utility items.

People are hitting "buy" on £100-200 products while scrolling their feed because creator trust and brand legitimacy have matured.

Most brands are still treating TikTok Shop like a clearance channel.

Running aggressive discounts. Racing to the bottom on price. Positioning themselves as cheap alternatives.

Meanwhile, premium brands in the UK are proving that you don't need to discount heavily to win.

You need trust. You need the right creators. You need to position value, not price.

This happened in January. A month when shoppers are traditionally bargain hunting.

And high-ticket items still dominated.

If you're afraid TikTok Shop will damage your premium positioning, the data disagrees.

The platform has matured. The audience is ready to spend. The infrastructure supports it.

Are you still treating TikTok Shop like a discount channel or building it as a premium commerce platform?

Don't be the brand that gets caught sending terrible creator briefs.

Instead, steal 1 of these 8 frameworks:

This is where you should start on TikTok Shop:

Mastering the structure of converting content.

These are the 8 content frameworks I use to brief creators across every brand we scale on TikTok Shop:

---

1) A-I-D-A
Attention: Stop the scroll in the first 2 seconds.
Interest: Build curiosity around the problem.
Desire: Make them want the outcome.
Action: Tell them exactly where to buy.

2) H-B-D
Hook: Open with a bold, relatable claim.
Benefit: Show what it does for them.
Demo: Prove it works on camera.

3) P-A-S
Problem: Name the pain they already feel.
Agitate: Make it feel real and urgent.
Solution: Position the product as the fix.

4) B-A-B
Before: Show where they are right now.
After: Show the transformation.
Bridge: The product is what gets them there.

5) S-P-I-N
Situation: Set the scene they recognise.
Problem: Introduce the friction.
Implication: Show the cost of doing nothing.
Need: Bring in the product naturally.

6) T-S-T
Tease: Open with a bold result or claim.
Show: Demonstrate it visually.
Tell: Explain exactly why it worked.

7) R-S-R
Relate: Start with something they've felt.
Surprise: Flip the expectation.
Result: Land on the outcome with proof.

8) S-S-S
Star: Lead with a person or product as the hero.
Story: Walk through the struggle or journey.
Solution: Show how the product resolves it.

---

Send these frameworks to your creators and watch your GMV per view change.

Which framework does your best-performing content already use?

Let me know in the comments.

---

Repost to help your network build better TikTok Shop content.

Follow me, Ashley Wright, for daily TikTok Shop strategies that actually drive revenue.

Most brands are using AI UGC wrong.

They treat it like a replacement for creators.

It isn’t.

AI content is a testing engine.

You can test 20 hooks in the time it takes to brief one creator.

Pain points. Angles. Formats that stop the scroll.

The best place to do this is on brand-owned pages, because you control the narrative.

You can rapidly test positioning without burning creator relationships or ad budget.

Once something works, you brief real creators with that exact angle.

That’s where human creators still win.

Trust converts better at the moment of purchase.

AI finds the signal.

Creators scale the signal.

Most brands either:

• Skip testing and pay creators to guess
• Or flood their feed with low-quality AI content
  
The smart brands use AI to find what works first.

Then they scale it with creators and ads.

We’re hiring at Social Tale - TikTok Shop Agency. 

(This is not for everyone.)

We’re growing fast and are looking to bring on a TikTok Shop Account Manager & Affiliate Coordinators!

Before you read on, be clear on this:

This is a high-ownership, high-pace environment. 

If you want comfort, predictability, or to be told exactly what to do every day, this will not be a fit.

What working here actually looks like:

1. You like working hard and losing track of time because you’re building something real.
2. You take ownership. Brands, numbers, outcomes, problems, they’re yours.
3. You are comfortable moving fast with imperfect information and adjusting in real time.
4. You think in systems, processes, and leverage, not just tasks.
5. You speak up. Weak ideas get challenged. Strong ideas win.
6. You care about results more than optics.
7. You want to work on some of the most exciting DTC brands scaling on TikTok Shop in the UK, US and EU.
8. You enjoy being part of a sharp team where performance actually matters.

The roles we’re hiring for:

- TikTok Shop Account Manager (owning growth, GMV, and strategy per brand)
- Affiliate Coordinators (creator outreach, activation, and relationship building)

This is not a “learn on the job” environment.
This is a place to sharpen your edge.

If you read this and thought, “yes, that’s me,” we want to hear from you.

Comment or DM and I can send you more info!

"Do we need full catalog pushes or focused launches?"

I get asked this a lot.

Hero SKU focus wins on TikTok Shop, while the full catalog pushes dilute traction and wastes budget.

High-velocity content consistently outperforms polished brand campaigns because the algorithm rewards speed and volume over production value.

Brands that scale quickly drive over 70% of their revenue from a tight group of creators and a small set of SKUs instead of spreading effort across their entire product line.

LIVE shopping, affiliate content, and paid amplification need to work together as one integrated system rather than separate channels competing for budget

Most brands launch with too many products and wonder why nothing gains momentum.

Focus creates traction faster than variety ever will.

After helping brands generate $80M+ on TikTok Shop, the brands that win follow the same 4 rules:

1. Focus on hero SKUs
   
Most brands launch TikTok Shop with 20+ products.

That’s the wrong approach.

We usually start with 2–3 hero SKUs that already have proof of demand:

• Strong reviews
• Clear benefit
• Visual transformation potential
  
In the first 90 days, those products usually drive 70%+ of revenue.

The full catalog comes later.

Momentum comes first.

2. Track GMV per view

Views don’t matter. Revenue does.

A video with 30K views and $10K in sales beats a 200K view video that generates $500.

We brief creators based on GMV per view, not engagement metrics.

That single shift changes how you run the entire program.

3. Build creator pipelines

Random creator posts don’t scale.

You need repeat creators.

For most brands, we identify:

• 20-30 creators in the niche
• 5-10 posting consistently

Often on retainer or higher commissions.

One creator posting 10 times is far more valuable than 10 creators posting once.

Consistency compounds.

4. Speed wins

Most brands are stuck in planning meetings.

Meanwhile, we’re testing 5 hooks this week, identifying the winner by Friday, and scaling it next week.

TikTok Shop rewards speed.

The faster you learn, the faster the channel compounds.

This framework has helped brands like Loop, Divi, and Primally Pure scale TikTok Shop.

The platform isn’t complicated.

But most brands overthink the strategy and underinvest in the things that actually drive GMV.

Most brands think TikTok Shop can run itself.

It can't.

TikTok Shop can be low touch, but it can never be zero touch.

Brands that hand off TikTok Shop entirely and expect it to run without input always see slower momentum.

Here's what stalls when the brand goes fully hands off:

1. Delayed pricing approvals hold up creator briefs
2. Unclear brand guardrails lead to off-message content
3. Slow sample sign-off means creators move to the next brand
4. Lack of inventory planning creates stockouts mid-campaign

The execution can live externally, but the brand still needs to provide fast decisions, clear positioning, and inventory support.

Think of it as a partnership where the agency builds and manages the system while the brand removes the blockers.

Brands that show up as active partners hit growth targets faster than those trying to stay fully hands off.

“Should we use AI UGC or real creators?”

The answer is both, but for different purposes.

In our client programs we split them clearly.

AI content handles scale:

• Testing hooks
• Angle variation
• Top-of-funnel reach
• Filling the content pipeline

You can test 20 hooks in the time it takes to brief one creator.

It’s the fastest way to find what actually makes people stop scrolling.

But when someone is actually considering buying, AI usually loses.
That’s where real creators win.

Human creators handle trust:

• Product storytelling
• Authentic reactions
• Niche audience credibility
• The final conversion push

A skeptical buyer doesn’t want to feel sold to by a machine.

They want to hear a real person explain why the product works.

That’s what closes the deal.

So the strategy is simple:

Use AI to find the winning angles.
Use real creators to scale the trust signal.

Treating them as interchangeable is where most brands go wrong.

Your DTC ads look like ads on TikTok.

That's why they're not converting.

The problem with repurposing your DTC creative on TikTok is that it was built for a completely different platform, a different buyer, and a different moment in the purchase journey.

When you run it on TikTok, it looks exactly like what it is.

People can tell.

Every week, we hear brands saying they have great content, but no conversions.

The reason is almost always the same.

They're creating awareness content in a commerce environment.

They lead with brand aesthetics, product features, and "swipe to shop" energy, which is all built for Instagram and running on TikTok.

While the content looks polished, TikTok rewards trust over production value, and trust looks completely different on this platform.

Here's what converts on TikTok Shop:

1) A real person with a real problem your product solved
2) Footage that is filmed in a kitchen rather than a studio
3) A specific claim not "life-changing" but "I slept through the night for the first time in months."
4) A product link that's one tap away from checkout

Your DTC creative was built to complement a search result.

TikTok content has to replace the search result entirely.

The creator has to create the want, make it feel achievable, and remove every reason not to buy, all in under 60 seconds.

That's a completely different brief.

Instead of posting DTC ads on TikTok and expecting them to convert, treat every piece of content as a standalone sales pitch for someone who's never heard of you.

You're writing creator briefs like product marketing copy.

That's why your TikTok Shop content isn't converting.

Most brands send creators a list of product features and call it a brief.

The creator reads it and makes a scripted walkthrough video.

The algorithm pushes it to a few hundred people, it gets minimal saves, and the brand concludes TikTok Shop doesn't work.

The content that actually converts on TikTok Shop doesn't look like an ad.

It looks like a genuine recommendation from someone who actually uses the product.

Here's the structural difference between low-converting and high-converting creator content:

Salesy brief execution:
- Opens with the brand name
- Lists 3 product features in order
- Ends with "use my link for 10% off"

Creator-led execution:
- Opens with a relatable problem or genuine reaction
- Shows the product solving something real in their life
- Ends with authentic enthusiasm, not a discount code

The commission structure is the same either way, but the conversion rate is not.

We work with creators on brief structures that remove the sales feel while keeping purchase intent high.

The best-converting TikTok Shop content doesn't feel like content made for TikTok Shop.

How are you currently briefing your creators?

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