Wes Bush

Product-led coach helping founders scale from 6 to 8-figures in product-led revenue. Author of the bestselling book, Product-Led Growth.

Over the last 9 years, I’ve worked hands-on with 400+ SaaS companies, helping them unlock $1B+ in self-serve revenue through Product-Led Growth (PLG).

Six years ago, PLG was a choice.
Today, it is table stakes.

Recently, Brex published a list of the 50 fastest-growing software companies.
ALL of them have a PLG motion.

If you want to win in the SMB or Mid-Market space, you cannot survive without PLG in 2026.

What separates the winners is not whether they have PLG.
It is how strong their PLG motion is.

The best PLG motions showcase value in minutes and expand rapidly without adding headcount. Weak PLG motions get stuck in linear growth.

That is what I help founders fix in three ways:

➡️ Is PLG is right for you?

I wrote the bestselling book, Product-Led Growth: How to Build a Product That Sells Itself, to help you determine if PLG is the right strategy for your business. 

You can read it for free at ProductLed.com/Book - my treat!

➡️ What’s the best approach to scale up PLG?

After two years of research and working with hundreds of companies, I discovered the 9 essential elements that separate PLG success stories from the rest. 

I break it all down in The Product-Led Playbook.

You can grab a copy at ProductLed.com/Playbook, or watch my free masterclass to see the entire process in action: ProductLed.com/Masterclass

➡️ Ready to scale up?

If you’re ready to scale and need hands-on help, our ProductLed Implementers are here. They aren't consultants - they are experienced PLG operators who want to roll up their sleeves and work alongside your team to help you address your biggest growth bottleneck, whether that's getting more users to sign up, upgrade, or get to value.

Since we only work with a handful of clients at a time and guarantee growth, you must apply to work with us at ProductLed.com

Let’s turn your product into a growth engine and scale your business the product-led way. 🚀

CEO & Founder

We help you build a successful product-led business.

Start with our free ProductLed Masterclass 👉 productled.com

Signed up for 100+ SaaS products in the last 6 months. These are the 8 best examples of AI onboarding I’ve seen this year. Not hype, real AI used to onboard users in seconds.

Took a few hours to put the onboarding flows on a Figma board, with some notes covering exactly how these companies use AI to get users to value faster.

Here’s how they are using AI to cut time-to-value down to seconds 👇

1. Relay.app (Context > Content) 
Instead of asking 20 questions, Relay asks for your LinkedIn URL. The AI scans your profile and auto-configures your agents and workspace instantly.

2. Gamma (Execution > Guidance) 
Gamma doesn't teach you how to use the editor. It asks for a topic and generates a full slide deck for you in seconds. No more relying on "empty states."

3. Figma (Just-in-Time Education) 
Figma analyzes your behavior in the canvas. If you get stuck or pause too long, the AI suggests the specific plugin or feature you need right in that moment.

4. Zapier (Outcome > Templates) 
Templates have taken a back seat. Now, a Copilot ingests your desired outcome and builds the workflow for you. It uses your initial app selections to predict exactly which prompts you need first.

5. Notion (Conversational Setup) 
They replaced the static "welcome wizard" with an active AI chat. It uses natural language to configure your workspace behind the scenes.

6. Miro (Zero-Click Canvas) 
The first screen is a chatbot asking, "What are we working on?". It builds the board structure for you before you even learn the UI.

7. n8n (Teaching by Showing) 
The "Try an AI Workflow" option demonstrates a working example first, teaching you how to interact with the agent while giving you a feeling of immediate progress.

8. Instantly.ai (Embedded Support) 
While the main tour is traditional (tooltips), the real power is hidden inside. As you navigate, AI agents surface to handle complex setup tasks, proving you don't need to be "AI-Native" to be effective.

Onboarding is evolving.

→ From: Teaching users how to use your interface.
→ To: Teaching AI what the user wants to do.

Think I’m exaggerating? Watch your growth rate when competitors can activate users in seconds, while you do it in minutes.

I compiled screenshots of all 8 flows into a Figma Board so you can see exactly how they work. I’m also covering how to do AI onboarding in a live workshop with Mickey Alon next week (Jan 28).

Comment "AI Onboarding" below and I'll send you the link for both. 👇

#1 PLG Consultancy | 434+ clients, $1B+ self-serve revenue

AI is messing with SaaS Conversion Benchmarks across the board. It’s time to reset expectations.

We’re teaming up with Kyle Poyar @ Growth Unhinged and ChartMogul to build the 2026 SaaS Conversion Benchmarks.

There’s too much anecdotal advice, and not enough hard data.

We want to know what is actually happening with trials and conversion right now. From real SaaS companies.

Please help us aggregate the largest dataset on free-to-paid conversion rates so we can stop guessing what great looks like for SaaS products.

It takes 4 minutes.
It is fully anonymous.

We publish the aggregate results in February.

You can contribute here: https://lnkd.in/ed2VjKGz

THANK YOU for your support 🙏

Growing MRR of B2B SaaS companies via affiliate marketing | Growth Manager @ Reditus | T500 | Reforge '24 🤘

Hi there, welcome to my profile!

Currently building Signalbase, a real-time intent data provider helping GTM and RevOps teams be the first to reach out when a signal occurs.

Because let’s face it, creating firmographic-first lists and hoping for intent later simply doesn’t work anymore. Prospecting isn’t a filtering exercise as 95% of your market is not ready to buy, but signals can help you see who is about to be.

We help teams spot real intent signals before anyone else does and plug those signals straight into your existing GTM stack, so your workflows trigger when the market’s ready, not when it’s too late.

You will want to use Signalbase if: 

1. You want a healthy pipeline with active companies
2. You seek verified signals to feed your GTM workflows
3. You don't have time to learn Clay or the money to hire someone to do it for you

Ready to discover some accounts with real-time intent? 

Give Signalbase a try, no card needed!

Talking about signal-first GTM and data which you will use to feed your workflows with

Georgi Furnadzhiev

How to hit €10M ARR in under 30 months without spraying & praying? 

That’s exactly what we unpack in the latest episode of My First Signal with Ilija Stojkovski (HeyReach.io), one of the fastest-growing LinkedIn automation tools in Europe

Be prepared, as this one is dense. And refreshingly honest.

A few takes that really stood out 👇

🟧 Why signal-based outreach is broken when everyone tracks the same signals
🟧 The real difference between a GTM technician and a true GTM engineer
🟧 Why hyper-relevance beats hyper-personalization every single time
🟧 How cross-platform plays (Twitter → LinkedIn) still cut through the noise
🟧 The biggest GTM mistake: generating replies that never turn into revenue

One quote that stuck with me:

Signals are not for personalization. They’re for relevance and timing.

If you’re fixing or building your signal-based GTM engine from scratch, this episode will save you months of trial and error.

30 minutes. No fluff. Very practical.

Let’s get practical 👇

Signal-based prospecting at scale | CEO @Signalbase

Week 12 of building Signalbase in public to $1M MRR

This was by far our best week, as we reached 140 users and crossed 53 approved registrations for the first-ever GTM party happening next week in Amsterdam! 🎉 

A few other things/discoveries from this week :

1️⃣We tested a new pricing structure and it freaking works! 

Simplification of your plans is by far the best thing you can do, while later giving opportunities for customization to match the exact needs

Too many teams are concerned about "credit usage" so what we did instead is run the calculation for them so they don't need to be bothered.

Perhaps the new messaging also helped significantly, as it showcases to the person on the other side what type of signals they get and where, within their workflows, Signalbase works best 

In short...you will use us if you need signal-based prospecting!

2️⃣Inbound is going strong 

Compliments over my recent post, more inbound signups & more demos booked. But most importantly, when I entered the latest Clay meetup in Amsterdam, everyone knew who I was:

"Aren't you the guy from LinkedIn who talks about signals?" "You are the Signalbase guy, no?" "Wait, weren't you hosting a conference a few months ago?"

Yet the biggest win? For the first time ever, Signalbase was also displayed as a potential API signal provider during the meetup.

3️⃣ HubSpot is talking more about the importance of signal-based prospecting!

Honestly, I could not be happier to work with their team as they have been part of our journey since day 1! It's so refreshing to see that there is someone who also tries to educate teams about the danger of using firmographic-first lists

Yamini Rangan please count that as a public invitation to join our show "My First Signal"  😉 

And lastly, we finally killed the old version of the software and migrated the majority of the legacy users to Signalbase 

The new chapter of the company is here, let's put this thing on the moon!

Chat later,
G

If I ever turn a fractional GTM exec again, I’d easily charge $20K to implement this signal-based system.

Just 4 months ago, people laughed when I said signals were the future. “Pure ABM,” they said. Now? Everyone wants them.

As Hugo Pereira said to me before the holidays 👉 “ As a GTM leader, you need to ride the wave now to stand out, or get lost in the noise later.” and that's exactly what I want to help your sales team with! 

So this holiday season, I got so tired of the AI glaze, you know the “agents solve everything” hype... and locked myself to showcase practical examples of workflows and mental models you can actually act on if you are starting to build your signal-based GTM motion from scratch.

Who should read this? CROs, CGOs, CMOs, CCOs, COOs who are trying to move away from using firmographics as a cornerstore of their GTM motion.

Inside, I show:

- How to build your signal-based GTM team (Ilija Stojkovski's input)
- How to write a killer copy (Frank Sondors 🥓's playbook)
- Soft skills needed for you to build your signal-based engine (Ashleigh Early's mental models) 
- The only way for you to leverage evergreen signals like the ones inside Signalbase to improve your bottom line
- My playbook for crushing the vetted conference for 200 GTM leaders (from 30 tickets to a full room in 2 months by engineering signals around the brand)

and so much more, which you normally hear only in private calls with those who got their hands dirty and made the mistakes you are about to make 👀 

Just comment “playbook” and I’ll DM it to you!

Get signal-driven account lists at scale | CEO @Signalbase

Things are getting out of hand here... 🫣 

The fact that soooo many good companies applied for a seat means one thing...

The days of spraying and praying are now long gone, and the results speak for themselves.

🔶 Lower number of deals in the pipe 
🔶 Slower sales cycles 
🔶 Teams fighting for every split second for attention

If you ever been annoyed by spammy messages or ever been called a spammer, then you should look into the signal movement. And the best part? 

You can start designing your signal-based engine together with the 50 other vetted executives coming to the first-ever GTM party in Amsterdam this Jan 30th!

With this one, I will try my best to put an end to the premise of buying "ready to buy leads" from vendors and sourcing firmographic-first lists 💩 

We won't run this concept ever again, so let's put this in the books together 👇 

Secure one of the 5 spots left via the link in the comments!

The future of API-first SaaS living inside bigger ecosystems is already here! 

And the truth is that I saw it coming right after OpenAI introduced their workflows/marketplace👇

Just look at how the market moved over the past few months:

We’ve seen Clay making an MCP integration with OpenAI
We’ve seen teams stop “using all-in-one tools” and start composing systems. etc...

Currently, we are still here:
→ Tool A for data
→ Tool B for enrichment
→ Tool C for validation
→ Tool D for workflows

But give it 2-3 years', and we will see:
→ One giant orchestration LLM layer acting as a monopoly (ChatGPT, Claude, Perplexity)
→ Plug-and-play APIs underneath
→ Data flowing where it’s needed, when it’s needed, with no dashboards, CSV hell or further manual validation loops.

Recent use case around Signalbase x Clay Bootcamp 🥾 

An extremely seasoned practitioner who can't code, yet somehow built his Claude environment. 

This person plugged our API and suddenly had access to verified investors, job changes at scale, fundraising announcements, M&A activity sourced just a minute ago, which previously took hours (or days) to validate.

No more:
“Where do I even start?”
“Can I trust this source?”
“Is this signal fresh or already stale?”

And the key part most people miss is putting effort into validating your data, but no worries, we got you covered there. Verification isn’t an afterthought, but a fundamental part of the product.

Shoutout to Laurens Nys, who also plugged the API directly into his own n8n workflows 💪 

The future of GTM is here,
G

Month 3 of building Signalbase in public to $1M MRR

December -> A learning month
January -> The "getting shit done" month 

🔶 Stats 

Current MRR - 1k 
Current churn rate - 15% (not so accurate, so stick with me) 
Current userbase - 100 users (I count here the trials too) 🎉 
Core use case -> Feeding freshly verified signal-driven accounts into your list


🔶 Biggest learnings 

1. Saying no to clients is a skill you need to protect your devs and move faster
2. You need to search for the most repeatable use case and hammer on that ICP
3. You will always move slower than you think, but the biggest question is how to make the most out of the current situation.

There are probably way more things, but it's good to be back in Amsterdam.

Huge shoutout to everyone who already came to the pod Sara Storm, Ashleigh Early, Frank Sondors 🥓, Ilija Stojkovski, Everett Berry, Laurens Nys, Festus Seiwoh! 

Are you guys ready? Kevin White, Bill Stathopoulos, André Bressel

P.S Secure a seat for the one and only GTM party happening on the 30th of Jan in Amsterdam via the link in the comments

20 hours dev time. Close to 8k credits and a ton of nerves lost 

But for what? A simple flow searching for recently acquired companies at scale

Let's not even start the conversation around data quality within your workflows/ lists, as sometimes even your Claygent can do you dirty!

So in short, you do need Signalbase! 👀 

Here is how your list-building process should look like 👇 

Create an account -> navigate to the acquisition signal -> use the filters on the side -> Save as CSV or push this list to the rest of your tech stack with a webhook

BOOM in less than 5 minutes, you have your signal-based list and entire workflow mapped out 

That's it! No need to hire anyone or lose your hair over long enrichment chains.

👉 trysignalbase(dot)com

Your LinkedIn feed is FULL of job changes, so hear me out!

Not tracking job changes =  Leaving money on the table 👇

Around this time of the year, LinkedIn is flooded with internal promotions and new hires.

But did you also know that key company players who are quietly exiting create gaps that NOBODY is talking about?

As Bill Stathopoulos from SalesCaptain put it perfectly

“A job change isn’t just a resume update. It’s a decision point. New roles mean new challenges, and new challenges create openness to change.”

If a "low-hanging fruit" had a name - it would be a job change signal

Honestly, this can serve as the golden opportunity for your SDRs to convert the org that they have been chasing in 2025

Reaching out right after a role change lets you engage when intent is naturally high, instead of chasing stale signals weeks or months later.

Need job changes in real-time? Get Signalbase 👀

😬 If your sales team is writing such messages in 2026, you need to fire them ASAP

Here is why this message just made me roll my eyes 👇

🔶 Not using any signals, just firmographics - The fact that I am the CEO is okay, but why are you pitching me a mobile app solution when I never made a signal around it?

🔶 Sounds super AI-heavy - You could have easily checked my last posts to make something up or try to introduce a question for better pattern interruption

🔶 Talking about yourself, not about my problem - It happens when SDRs face a shortage of context around that particular account

Don't get me wrong, I also run evergreen campaigns but at least I try to have a signal-driven account list first, which helps me to write better copy.

Just another proof why sales teams need Signalbase

Enjoy your Friday! 🍻

If your list is dirty, there is no point in optimising your copy! 👇 

A few days ago, I got approached by a Google Ads specialist who wanted to pitch me his services, but I felt like his prospecting could be a bit more signal-driven 😉 

Here is how I would execute on finding B2B SaaS teams if I were selling Google Ads services

1. Grab recently funded companies at scale that fit my ICP from Signalbase
2. Push them to Clay for enrichment 
3. Check if they run LinkedIn ads (so I can educate them about Google Ads)
4. Source the marketing / GTM lead
5. Use the Claygent to create an AI-generated message 
6. Repeat for each market you want to go after

And that's it! No more guessing if the person on the other side has any budget in place

Just give it a spin 👉 trysignabase(dot)com

P.S I am running soon a practical Signals x ABM webinar with Stefan Repin where we will showcase 3 cool use cases. Stay tuned!

Sales teams keep misusing the fundraising signal.

“Raised → outbound → hope for replies.”

That’s not smart selling. That’s lazy targeting.

A funding round isn’t a buying signal.
It’s a change signal.

When a company raises, things start moving fast:
• Hiring plans shift
• Budgets get reshuffled
• Priorities change
• New stakeholders appear
• Investor pressure increases

Most reps stop at “they raised", while the winning reps ask “what’s changing because they raised?”

That question unlocks real sales leverage.

Here’s what you can actually do with ONE fundraising signal:\

🧡 Predict upcoming hires and sell into gaps
🧡 Identify leadership or ownership changes
🧡 Map new investors to urgency and timelines
🧡 Surface tech stack and infra gaps before discovery
🧡 Spot expansion or new markets early
🧡 Track decision-makers joining or leaving
🧡 Qualify intent via content and activity signals
🧡 Pressure-test readiness around API, legal, or compliance
🧡 Identify exit-stage behavior (Series B+)
🧡 Run geo-based or event-driven plays
🧡 Validate why now before you pitch
🧡 Disqualify bad deals faster

Same signal, creating 12 different conversations for discovering better deals to win.

Next in this series 👉 How sales teams can use M&A signals to get ahead of competitors.

Let's crush Q1!

Always fresh signal-driven account lists at scale | CEO @Signalbase

How can a team of 5 SDRs drive 500 demos a month? 🤯 

That’s exactly what we unpack together with Frank Sondors 🥓(Salesforge.ai 🔥), revealing in the second episode of "My First Signal" the secret behind his aggressive signal-based GTM engine.

Trust me, I rarely see such an approach to GTM - there was so much to learn!

A few things you need to keep your eyes open for during this episode:

🟧 How to combine signals and data sets to supercharge sales efficiency
🟧 Why copy and pattern-interrupt messaging are game-changers in outreach
🟧 Frank’s approach to building a high-output GTM team
🟧 Signal-based strategies for inbound and outbound success

And lastly how to make your LinkedIn outreach generate 2–3x reply rates

It's time to boost your GTM engine with signals, systems, and human + agent orchestration in less than 30 minutes

Let's get practical 👇

I learned the real cost of poor data hygiene within my lists the hard way.

3 years ago, I was a growth exec at a SaaS company. We wanted to test LinkedIn Ads against a very specific ICP to competitors who f*cked up with their product launch 

In that moment, we did exactly what most teams still do:
• The head of sales pulled accounts from Sales Navigator / Apollo (first mistake)
• I trusted the list blindly since the guy was an experienced SDR, solid logic (second mistake)
• Uploaded it into LinkedIn Ads

On paper, it was a perfect list. Then reality hit.

👉 First €1,000 of ad spend burned.  Zero to no impressions. No conversions started.

Then this question from the CEO came: "Georgi where are the leads?"

When looking under the hood, I got a sharp and cold feeling

The problem wasn’t the ads.
It wasn’t the messaging.
It wasn’t even the ICP.
It was data hygiene of the list

Because the list was full of irrelevant accounts and stale companies that “looks like ICP” but isn’t ICP.

Since then, I don’t trust static lists anymore. 

Here’s the shift we made with Signalbase 👇

Most tools do this:
➡️ Show you accounts first
➡️ Let you assume intent later

We flipped it by starting with the signal of at least 80% accuracy:
• Funding
• Acquisition
• Job change

No signal = no account in the dashboard

The result? Cleaner lists, fewer “spammy” moments for your team and more conversations started.

Vendors never cared about data hygine until this point as volume previously was the name of the game, but we do care 🫡

Most GTM teams mix up signals and enrichment.
Tho being related, they’re not the same.

Signals = behavior
Something just happened.

Examples:
A company raised a round
A company made an acquisition
A key hire or job change

Signals answer one question:
 👉 “Is this account worth looking at right now?”

Enrichment = facts

Context that helps you qualify the account.

Examples:
Multiple office locations
Industry
Tech stack
Key roles

Enrichment answers:
 👉 “Is this a good fit for us?” 

Important rule:
Both signals and enrichment are internal context.

They should influence:
when you reach out
how you position relevance
They should not be quoted directly in outreach.

If you lead with “I saw you raised a round”, truth is that you’ve already lost leverage.

At Signalbase we help GTM teams:
 → get accounts immediately after key moments like
 fundraising, acquisitions, or job changes
 → so timing is right before the market catches up

Signals first.
Context second.
Outreach last.

🧨 Hot take: Everyone claims that they have signals, but almost nobody uses them accordingly

Hear me out on this one 👇 

Everyone says they have signals and yet…sales teams still reach out by saying "congrats on your new role." 

That’s the real problem, as signals aren’t a checkbox. And you should not treat them as all equal.

Most people lump everything under “intent” and call it a day. In reality, signals look a lot more like a sales funnel:

🔶 Top of funnel - Evergreen signals

These tell you where money and movement exist.
Hiring. Funding. Acquisitions. Job changes.

They don’t mean “buy now” — they mean “pay attention.”
This is where you allocate focus and prioritize accounts.

🔶 Mid-funnel — Momentum signals

This is where it gets interesting, since you look for people engaging with competitors, your posts, or relevant conversations.

You need to look for every piece of context that will help you move closer to relevance.

🔶 Bottom-funnel — Product & CRM signals
 
Now your product, customer support and CRM take over

If nothing progresses from layer 1 → 2 → 3, the issue usually isn’t your product - It’s your targeting yet again

Lastly, signals are internal context since your buyer doesn’t care about the signal.

They care about their problem.
That’s the difference.

Be different, use signal-based prospecting with Signalbase

How often do you jump on calls just to discover there’s no budget?

If your answer is A LOT, I might have a solution for you👇

It’s called signal-based prospecting and as you can see bigger teams are starting to adopt it further (HubSpot)

But why? 

🔶 Buyers today are more educated than ever.
🔶 They’re overstimulated and only care about what’s relevant to them.
🔶 If your outreach isn’t aligned with their needs right now, it's considered spam.

Signal-based prospecting flips the old model on its head by start with evergreen signals at scale which helps reps to already get 80% of their foundation 

Example: If a company raises then they will likely hire more people, expand to new locations, get more tools, or at least reconsider their current systems

As next steps, teams should layer in firmographics to narrow their list and only then add custom signals to identify who’s truly in-market (and yes this solves the common objection of "everyone has the same signals"

The result? 

Less wasted effort & headcount, faster sales cycles, and outreach that actually lands. (check the screenshot with my message)

The future of GTM is here Signalbase

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Georgi Furnadzhiev

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The Battle

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