Eddie Reynolds

Over +20 years in sales, customer success and marketing, I’ve developed a passion for data-driven strategy and process. I’ve always been fascinated by the edge it can give an IC or an entire company. 

Ten years ago, I joined Salesforce as an AE covering high-growth, VC-backed B2B SaaS companies. I met with hundreds of executives and revenue leaders and they all wanted this edge. They wanted to hear how Salesforce and my other customers operated, not how the software worked. 

Our consulting partners, however, were solely focussed on the software, often missing the broader strategy. This inspired me to start a unique consulting firm, merging system implementation with data-driven GTM strategy. 

Since then, I’ve seen some of the deepest ingrained revenue growth problems plaguing B2B SaaS – and we’ve developed a system to solve them.

𝘾𝙍𝙊𝙨, 𝘾𝙈𝙊𝙨, 𝘼𝙉𝘿 𝙑𝙋𝙨:

Does this sound familiar?

💭“I don’t understand what my data is telling me. I’m not even sure it’s accurate.”
💭“We’re getting tons of leads but they’re not converting enough to outpace churn.”
💭“We’ve spent so much money on tech, marketing, training, etc. – but there’s no ROI.”

Or maybe even…

“I don’t want to end up like those guys ☝️ How do I get in front of this?”

𝙔𝙊𝙐’𝙍𝙀 𝙄𝙉 𝙏𝙃𝙀 𝙍𝙄𝙂𝙃𝙏 𝙋𝙇𝘼𝘾𝙀

I founded Union Square Consulting to help B2B recurring revenue brands increase profitability by targeting the source of their revenue engine issues (not just the symptoms).

𝙒𝙃𝘼𝙏 𝙒𝙀 𝘿𝙊

Fractional RevOps that delivers both systems implementation and go-to-market strategy.

𝙒𝙃𝙊 𝙒𝙀’𝙑𝙀 𝙃𝙀𝙇𝙋𝙀𝘿

High-growth brands from Series A to C and beyond like Techstars, Luminate, and Federato.

𝙂𝙀𝙏 𝘼 𝙁𝙍𝙀𝙀 𝘾𝙊𝘼𝘾𝙃𝙄𝙉𝙂 𝙎𝙀𝙎𝙎𝙄𝙊𝙉

Sit down with one of my Senior Revenue Strategists for a personalized Revenue Operations Coaching Session. Walk away with advice you can use immediately.

👉 CLICK HERE: unionsquareconsulting.com/workshop

𝙎𝙐𝘽𝙎𝘾𝙍𝙄𝘽𝙀 𝙏𝙊 𝙊𝙐𝙍 𝙍𝙀𝙑𝙊𝙋𝙎 𝙉𝙀𝙒𝙎𝙇𝙀𝙏𝙏𝙀𝙍

Get actionable and practical tips on optimizing your marketing, sales, and customer success engines.

👉 CLICK HERE: unionsquareconsulting.com/newsletter

Host

RevOps Corner is a podcast we produce at Union Square Consulting to share best practices for Strategic Revenue Operations. 

We do this by interviewing amazing guests, ranging from Revenue Operations Professionals to Revenue Leaders to Venture Capitalists and many other experts in the B2B SaaS community. 

We also share what we're seeing in the trenches every day in our work as Revenue Operations Consultants here at Union Square Consulting.

Listen to the Podcast on:
Spotify: https://open.spotify.com/show/1CM3rmelcdtm6gJVL0PtMK?si=00aae750ea7a4937
Apple: https://podcasts.apple.com/us/podcast/revops-corner/id1619571311

We've updated our core GTM Framework. 
The foundation of ALL our work in GTM!!!!

v3.0 of how we prioritize what to fix in GTM first!

𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈 𝐡𝐞𝐚𝐫 𝐨𝐧 𝐜𝐚𝐥𝐥 𝐚𝐟𝐭𝐞𝐫 𝐜𝐚𝐥𝐥 𝐰/ 𝐂𝐑𝐎𝐬
- Reps chasing deals they'll never close
- Inbound leads not getting followed up
- Customers churning before renewal starts
- Expansion is an afterthought
- No one trusts the forecast

𝐓𝐡𝐚𝐭'𝐬 𝐚 𝐥𝐨𝐭 𝐨𝐟 𝐢𝐬𝐬𝐮𝐞𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐆𝐓𝐌!

𝐖𝐞 𝐜𝐚𝐧'𝐭 𝐟𝐢𝐱 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐚𝐭 𝐨𝐧𝐜𝐞
 - We need to prioritize one item at a time

So we built the 𝗚𝗧𝗠 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗣𝘆𝗿𝗮𝗺𝗶𝗱 𝘃𝟯.𝟬

𝐈𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐨𝐧𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧:

𝗪𝗵𝗮𝘁 𝘄𝗼𝘂𝗹𝗱 𝗶𝗺𝗽𝗮𝗰𝘁 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗺𝗼𝘀𝘁?
- More New Customers?
- Or more Net Revenue Retention?

𝐓𝐡𝐞𝐧 𝐰𝐞 𝐛𝐫𝐞𝐚𝐤 𝐢𝐭 𝐝𝐨𝐰𝐧 𝐟𝐮𝐫𝐭𝐡𝐞𝐫:
- Closing Deals vs. Generating Pipeline
- Inbound vs. Outbound vs. ABM vs. Partners
- Reducing Churn vs. Expanding Customers

What's the one thing that would have the most impact on revenue the fastest?

𝐓𝐡𝐞𝐧 𝐰𝐞 𝐰𝐨𝐫𝐤 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝟒 𝐬𝐭𝐚𝐠𝐞𝐬:

𝟭. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
- Do we really know our ICP?
- What's the step by step process?
- Is that process built into our systems?

𝟮. 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻
- Is the team trained on the process?
- Do we have reporting to track execution?
- Is management reviewing execution regularly?

𝟯. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻
- What's working and what's not?
- Are the right people analyzing the data?
- Translating data into real insights on GTM?
- Are GTM leaders meeting to act on insights?

𝟰. 𝗔𝗺𝗽𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
- What busywork can we automate?
- Where can AI amplify what's working?
- Where do we deploy agentic workflows?

🚩 *Warning: Don't amplify a motion that's not working!

𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐲 𝐭𝐡𝐞 𝐨𝐫𝐝𝐞𝐫 𝐦𝐚𝐭𝐭𝐞𝐫𝐬

When we Amplify too early:
- AI amplifies what's broken
- We run full speed the wrong way

When we Optimize too early:
- Our data is unreliable
- So we can't see what's working
- Until we fix the foundation first

When we adopt too early:
- Reps are all running their own process
- Everyone is rowing in different directions

 We've found that we can often take a very broken GTM Engine and get through Fundamentals and Adoption in as little as a few weeks, at least for one part of GTM for a small team. 

It can take quarters or years to fully optimize and amplify those motions. 

But getting the foundation in place can do wonders for revenue

𝐖𝐡𝐚𝐭'𝐬 𝐧𝐞𝐰 𝐢𝐧 𝐯𝟑.𝟎
- Broke out Pipe Gen Channels more
- Split CS into Renewals and Expansion
- Made it more robust and simpler as well

-------------------------- 

 More in tomorrow's 𝗚𝗧𝗠 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗣𝘆𝗿𝗮𝗺𝗶𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸  

👉 Subscribe to get it tomorrow: https://bit.ly/4biNF3G

𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵-𝗿𝗲𝘀 𝐢𝐦𝐚𝐠𝐞?
- Comment "High Res" below
- Send a connection request if we're not connected
- Share the post for priority
- We'll DM it to you

✌️

CEO | GTM Strategy & Ops for B2B SaaS CROs

Kyle Norton’s team used AI call scoring to improve Close Rates from 38% to 53% in one quarter!

They already had a 38% Close Rate.
That's already 2x-4x the average.

Imagine saying.... 
"That's not good enough."
"We could do a LOT better."

Sounds crazy. 
But that's exactly what they did. 

They found a way to close 40% MORE deals!

𝐇𝐨𝐰?

His team deconstructs their funnel monthly
- Even when things are going well
- They're always looking for places to optimize

𝐓𝐡𝐞𝐲 𝐚𝐬𝐤𝐞𝐝 𝐰𝐡𝐢𝐜𝐡 𝐫𝐞𝐩 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐬 𝐰𝐢𝐧 𝐝𝐞𝐚𝐥𝐬.
𝐓𝐡𝐞𝐲 𝐬𝐜𝐨𝐫𝐞𝐝 𝟏𝟓𝟎+ 𝐫𝐞𝐩 𝐜𝐚𝐥𝐥𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐨𝐮𝐭.

𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗶𝘁 𝘄𝗮𝘀?
What behaviors win deals?

𝐌𝐨𝐬𝐭 𝐰𝐨𝐮𝐥𝐝 𝐬𝐚𝐲 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲
 - Heck, I would say discovery.
 - And I would be wrong here.

𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐟𝐨𝐮𝐧𝐝:
 - 12 skills correlated with winning deals
 - 10 were end-of-call or closing behaviors 
 - 0 skills were discovery

These are the skills that worked for Owner.com:

𝗧𝗵𝗲𝘀𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝟭𝟮 𝘀𝗸𝗶𝗹𝗹𝘀 𝘁𝗵𝗮𝘁 𝘄𝗼𝗻 𝗱𝗲𝗮𝗹𝘀:

1️⃣ Ask for the sale
2️⃣ Book the next call (at least a placeholder)
3️⃣ Help prospect see the value of continuing
4️⃣ Agree on a solid purpose for the next call
5️⃣ Gauge whether the prospect is leaning in
6️⃣ Navigate buying journey, ask for next meeting
7️⃣ Next steps include clear reasons & value
8️⃣ Make an assumptive close
9️⃣ Concise, transparent pricing that reiterates value
1️⃣0️⃣ Prospect has a clear idea of next steps
1️⃣ 2️⃣ Rep in control of the call throughout
1️⃣ 3️⃣ Read the audience, simplify when needed

𝐓𝐡𝐞 𝐩𝐨𝐢𝐧𝐭 𝐢𝐬𝐧'𝐭 "𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐦𝐚𝐭𝐭𝐞𝐫"
- For a lot of companies, it's a #1 skill

𝐓𝐡𝐞 𝐩𝐨𝐢𝐧𝐭 𝐈𝐒 𝐭𝐡𝐚𝐭 𝐢𝐭'𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲 𝐜𝐨𝐦𝐩𝐚𝐧𝐲
 - Use your OWN data to find what matters for you

Kyle would've kept optimizing for the wrong skill if he'd just followed the industry playbook. 

Everyone would've been happy with 38% win rates. 
Never knowing that 53% was within reach.

Usually we only fix things when they're broken.

Why do you think we don't fix things that are working more?

 🤔

We'll break this down more in tomorrow's 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝘽𝙧𝙞𝙚𝙛📰

We'll also share how Kyle trained his team on these skills. 

Subscribe to get it here: https://bit.ly/49RCm0h

Or listen to the podcast episode: https://bit.ly/4b28Nwn

✌️

undefined undefined

Certified Alternative Investment Analyst

Series 63

Series 7

•  Started University at age 16, after one year of high school, and finished at age 20.
•  Attained a 5/5 in A.P. Calculus as a freshman in high school and took Calculus II and III as electives at Indiana.
•  Kelley is ranked a top-ten undergraduate program for both finance and entrepreneurship by U.S. News & World Report.

Relevant University Coursework
- Venture Capital and Entrepreneurial Finance		
- Intermediate Accounting		
- Real Estate Analysis		
- International Finance

Strategic RevOps Consulting for B2B SaaS

CAIA (Certified Alternative Investment Analyst)

The RevOps Weekly Newsletter

The RevOps Corner Podcast

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📈 CRO 📈 @ Owner.com, Host of the Revenue Leadership Podcast & SaaS GTM Advisor & Investor

If AI agents sit on top of CRMs...
Why do we need Salesforce or Hubspot?

Let's think about this...
 - Users interact with the AI
 - It queries the CRM for data
 - It translates that data into meaning
 - It updates that data so users don't have to
 - Ideally, no one would ever login to Salesforce

That's just a database. 

Why do we need an expensive CRM? 

I say this as someone who's spent the last 16 years as a Salesforce employee, partner, and customer. I've been a big fan of Salesforce for a long time. 

But....

1. I don't want to login to Salesforce if I don't have to

2. And I don't want to pay Salesforce license fees if I don't have to

So, if AI becomes my sole interface.....

Why do I need a CRM?

🤔 

(To be clear, I'm talking ideal future state, not today.)

✌️

We analyzed 7 "State of GTM" reports.
Here's what stood out.

𝗡𝗲𝗴𝗹𝗲𝗰𝘁𝗶𝗻𝗴 𝗽𝗼𝘀𝘁-𝘀𝗮𝗹𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗰𝗼𝘀𝘁𝗶𝗻𝗴 𝘂𝘀
- 87% of enterprises missed their number
- But 52% of new revenue is from expansion
- Meanwhile, 71% of companies use AI for calls
- But only 25% use it for churn prediction

The best revenue source (customers) get's the least AI. 

𝗜𝗖𝗣 𝗳𝗶𝘁 𝗶𝘀 𝗮 𝗻𝗲𝗴𝗹𝗲𝗰𝘁𝗲𝗱 𝗴𝗼𝗹𝗱𝗺𝗶𝗻𝗲
- High-ICP-fit accounts are 8x more sales efficient
- Yet they make up a fraction of qualified pipeline
- And most CROs aren't confident in the definitions
- That's a huge missed opportunity

𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗴𝗮𝗽𝘀 𝘀𝗶𝗴𝗻𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗴𝗮𝗽𝘀
- 65% revenue generated by top 10% of reps
- This is one of the most common red flags we see
- These reps have a better process than their peers
- Because that process is not defined well or managed

𝗘𝗮𝗰𝗵 𝗿𝗲𝗽𝗼𝗿𝘁 𝗶𝘀 𝘄𝗼𝗿𝘁𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗼𝗻 𝗶𝘁𝘀 𝗼𝘄𝗻.
Scale VP. Pavillion. ICONIQ. Clari. Ebsta. Crossbeam. Fullcast.

But we were curious what the data looks like when you lay them side by side.

In recent report, we covered all 7 sources:
- Where they agree
- Where they disagree
- What it means for us

Which of these findings is most surprising for you?

🤔

More on this in 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝘽𝙧𝙞𝙚𝙛📰
Access the report here: https://bit.ly/49RCm0h

✌️

Every post on LI: "Our AI bot created $100 billion in pipeline last week"

Every CRO: "AI is making us more efficient but not more revenue yet."

It's like two completely different worlds. 

Here's a post I saw the other day. 

"In the last 90 days our AI created $11m in Sales Qualified pipe."

Me: How much ARR did you close? 
Poster: 2X our Target!

Me: What was your target?
Poster: Crickets...........

So so so much hype. 

Meanwhile, people actually seeing results with AI
 - People like Jason M. Lemkin
 - Are not making these crazy claims
 - They're saying this is a LOT harder
 - You need the right foundation in place
 - You need well defined ICP and Buyer Personas
 - You need to have your processes dialed in
 - That process needs to work with humans
 - And you need an accurate layer of data
 - And then you need to iterate repeatedly
 - You need someone dedicated to making it work

We all want a magic bullet. 

And there are 7 trillion posts on LI promising this. 

But it's not the reality. 

We're starting to see the REAL stories though!

Kyle Norton recently shared on our Podcast how his team used AI to improve Close Rates from an already amazing 38% to an astounding 53%!

He broke this down in great detail and shared not just what AI they used and how it generated results but a lot of what they had to do to make it a real success. 

See comment below for links if you want to listen. 

✌️

Here's why I think Salesforce is tanking
It's not AI

Mature B2B GTM Teams 
 - Want Sales Cloud 
 - And almost nothing else 
 - From Salesforce's products

By tanking, I mean the stock
 - Down over 5 years
 - While the market has boomed
 - Because growth was 30% and now <10%

Look I've been a fanboy for ~20 years. 
 - I worked for a Salesforce ISV Partner
 - Then I was a customer in two companies
 - Then I worked at Salesforce for three years
 - Then I was a Salesforce customer another time
 - And now we've been a Salesforce Partner for 10
 - Implementing Salesforce for hundreds of companies

I want to like Salesforce
 - But it's harder every day

Our customers want...
 - Hubspot, not Pardot
 - Outreach, not High Velocity Sales
 - ZoomInfo, not Data dot com
 - Gong, Clari, 6Sense, etc etc
 - And all the new AI tools
 - But not AgentForce

To be honest, I hear about Salesforce's products so infrequently these days I don't even know the names of half of them. 

That's kinda crazy considering we don't have a single customer not using Salesforce. 

Our customers are mature B2B GTM Teams
 - Usually $50M to $500M in ARR
 - Not Series A Startups
 - But also not Fortune 500

Every single one has Sales Cloud
 - And that's about it from Salesforce. 

Everyone is talking about the SaaSpocalypse
 - About how AI is killing SaaS
 - And maybe this is happening
 - But there are also just bad products

For Salesforce, I wish they would focus on making their core products better. 

IDK why Sales Cloud can't be drastically better. 
IDK why Salesforce can't be better than Hubspot Marketing Hub
IDK why they can't beat Outreach, ZoomInfo, etc. 
You would think they could. 

But they seem too busy with the next acquisition. 
And rebranding everything every six months

✌️

AI has me excited about GTM again.
But probably not for the reasons you think. 

𝗜 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗮𝗹𝗺𝗼𝘀𝘁 𝟭𝟬 𝘆𝗲𝗮𝗿𝘀 𝗮𝗴𝗼. 

𝗠𝘆 𝘃𝗶𝘀𝗶𝗼𝗻 𝘄𝗮𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗚𝗧𝗠 𝗹𝗶𝗸𝗲 𝗮𝗻 𝗙𝟭 𝗿𝗮𝗰𝗲 𝗰𝗮𝗿. 

I saw some of this internally as an employee at Salesforce and some of this in my best customers (mature VC/PE backed B2B SaaS companies on the cutting edge.) I wanted to implement all these fancy tools, collect a mountain of data, and then tweak and test everything in GTM to build a finely tuned engine, just like an F1 team does. (TY 🦄Pablo Dominguez and Matthew May for this visual from your book.)

𝗨𝗻𝗳𝗼𝗿𝘁𝘂𝗻𝗮𝘁𝗲𝗹𝘆, 𝗜 𝗯𝗲𝗰𝗮𝗺𝗲 𝗱𝗶𝘀𝗲𝗻𝗳𝗿𝗮𝗻𝗰𝗵𝗶𝘀𝗲𝗱 𝗾𝘂𝗶𝗰𝗸𝗹𝘆.

I saw company after company implement Salesforce and Outreach/Salesloft/Apollo and ZoomInfo quick and dirty, without thinking about their fundamental GTM Strategy and Process, to just spray and pray their entire TAM. 

I saw marketing pump out shitty gated content and ads so they could hit their MQL number and feed reps more people that didn't want to talk to them to feed the automated spam cannon. 

I saw CS try to cut costs by automating away their customer experience, engineering the entire post sale process to benefit the company, not the customer. 

All of this was grounded in a lack of fundamentals, a woeful ignorance of the process these companies knew in their heads was necessary to win and wow customers. Instead of codifying that knowledge and systematizing it into consistent execution, they slapped together tools and GTM motions in the "Growth at All Costs" era. 

𝗦𝗼, 𝗜 𝗽𝗶𝘃𝗼𝘁𝗲𝗱 𝘁𝗼 𝗚𝗧𝗠 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆. 𝗜𝘁'𝘀 𝗯𝗲𝗲𝗻 𝗿𝗼𝘂𝗴𝗵. 

So, we pivoted. We hired experienced VPs of RevOps that truly understood GTM Strategy and I spent 90% of my time trying to learn, understand, codify, and refine that GTM Strategy. We landed partnerships with many of the top PE/VC firms in the world and landed CROs in their portfolio companies as customers. 

We did great work and helped many of them build GTM that was strategy and process first. 

We've had a lot of success.

𝗕𝘂𝘁 𝗺𝗮𝗻 𝘁𝗵𝗶𝘀 𝗳𝗲𝗲𝗹𝘀 𝗹𝗶𝗸𝗲 𝗮𝗻 𝘂𝗽𝗵𝗶𝗹𝗹 𝗯𝗮𝘁𝘁𝗹𝗲. 

For every CRO that embraces this concept, it feels like we have to turn away 5 others. 

5 other CROs that just want to slap together tools, delegate GTM Architecture to someone with no experience and then check out.  

I empathize with these CROs. They have a target on their back and 70 hrs per week of work just hiring, training, and closing deals. I get it. 

But..

𝗜 𝘁𝗵𝗶𝗻𝗸 𝗔𝗜 𝗺𝗶𝗴𝗵𝘁 𝗰𝗵𝗮𝗻𝗴𝗲 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴

AI is going to amplify everything. Every best practice and every bad practice. 

I think CROs and their CEOs will have no choice but to adapt to this new reality. 

They have to build the right foundation.

The right process that delivers the right customer experience. 

AI will amplify good process and bad.

But what do you think?

🤔

The old-school GTM playbooks are failing
But what do we replace them with?

With data and AI we can build out own
Custom to our unique GTM

How?

Kyle Norton, CRO at Owner.com, shared his approach on our Podcast. 
An approach that took Close Rates from 38% to 53%

They used AI Call Scoring to identify the Top 12 skills to win deals.
 - Not in sales
 - Not in the industry
 - But in their unique business 

But he didn't stop there. 

He shared how they approach GTM differently.

Here's a breakdown:

1️⃣ 𝐒𝐚𝐥𝐞𝐬 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝐃𝐞𝐬𝐢𝐠𝐧: Use your own data

Common way: 
Adopt industry best practices and train the team on them.

𝗨𝗽𝗴𝗿𝗮𝗱𝗲: 
Find which behaviors correlate with YOUR wins, build a playbook based on your own data

Kyle used AI call scoring on 150+ rep calls to find which behaviors actually won deals. 
10 of 12 critical skills were end-of-call behaviors — not discovery.

2️⃣ 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐂𝐡𝐚𝐧𝐠𝐞: Depth over breadth

Common way: 
Roll out multiple changes at once, Slack/email, train once, and move on.

𝗨𝗽𝗴𝗿𝗮𝗱𝗲: 
Depth over breadth, manager-led coaching, don't move on until it's adopted.

Kyle built a 10-week rollout — three modules, one skill at a time — and made it the only thing his org worked on.

3️⃣ 𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭: Repetition & hands-on learning

Common way: 
Train once, hope reps remember, check results next quarter.

𝗨𝗽𝗴𝗿𝗮𝗱𝗲: 
Reinforce against the Forgetting Curve
Have reps apply skills according to Bloom's Taxonomy.

Kyle had reps build their own call plans, practice in small groups, and got daily scores.

4️⃣ 𝐃𝐚𝐭𝐚 𝐃𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞: Analyze before things break

Common way: 
Dig into the data when something breaks or numbers are low.

𝗨𝗽𝗴𝗿𝗮𝗱𝗲: 
Monthly deconstruction of your sales motion
Even when things are going well.

 - Their win rate was already a strong 38%. 
 - He found the path to 53% because he went looking
 - Not because something was broken.

We broke down the full story in yesterday's 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙞𝙚 𝘽𝙧𝙞𝙚𝙛 📰

 👉 Read it here: https://bit.ly/4aCK7c7

Or listen to the podcast episode: https://bit.ly/4b28Nwn

✌️

Idk who needs to hear this but AI isn’t killing software. AI is software. 

It’s not only a dumb click-baitey claim. 
It’s also fundamentally misguided. 

Did SaaS kill software?
No, it mostly killed on-prem

Will AI kill SaaS? No. 
 - It might kill the pricing model. 
 - It might kill a LOT of features. 
 - It WILL kill most SaaS that doesn’t innovate. 

But SaaS didn’t kill MSFT
 - The least innovative company in history 

I think (know) AI is in the dot com boom now
 - The height of hype
 - Amped up to let us down soon

And what happened with the dot coms? 

The bubble burst
 - Investors made dumb bets
 - On dumb companies
 - With dumb valuations 
 - And dumb execution 
 - And it blew up

Then it recovered 
 - Amazons stuck plummeted 
 - But they had paying customers
 - Their fundamentals were strong
 - And now they’ve taken over the world
 - Pets dot come crashed and did not recover
 - But today you can buy pet stuff from Amazon

AI will be the same

But let’s not get confused 

Especially in B2B SaaS GTM

1. The Product will change 
 - This has always been the case
 - Nothing new here, except the pace

2. A LOT of crappy AI products will sell
 - Crappy AI products with crappy GTM
 - It’s a gold rush right now. Simply that. 

3. Don’t look at AI Native for GTM best practices
 - They’re selling DESPITE their GTM
 - People are begging for their products
 - Good for them but an example not to follow

I'm hearing this directly from their VC/PE firms. 

Companies exploding to $300M in ARR in zero time without any GTM. Just a super hot product and viral WOM turning into hot leads that are completely mismanaged but enough of them are still closing. This isn't the model to follow in GTM. It might be the model to follow in product development, but not in GTM. 

Just like the dot com crash, we will have a reset. 

The companies with their fundamentals in place will survive that reset. 

That's my two cents. 

✌️

Will AI replace Salesforce?

Today, I say no. 
Tomorrow, IDK, maybe.  

Let me explain. 

𝗜𝗱𝗲𝗮𝗹 𝗖𝗥𝗠 𝗨𝘀𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

As a CEO and also a salesperson, here's what I want:

1. Accounts and Contacts added for me
2. Leads come in and convert automatically
3. Opportunities are created from email/Slack
4. Emails, Calls, Meetings all added automatically
5. Daily reminders on who I need to follow up with
6. My meeting prep for each meeting is done for me
7. Any time I need a report I just send a Slack/ask a bot
8. And AI analyzes that report and gives me insights first
9. So I basically never need to login to Salesforce ever ever

Basically I spend all day in email/slack/meeting notes. 
 - Which means....
 - If I'm in sales, I'm selling
 - If I'm in management, I'm managing
 - All day long, instead of managing Salesforce

Everything else is done for me. 

How do I know this is what I want?

𝗜 𝗔𝗹𝗿𝗲𝗮𝗱𝘆 𝗛𝗮𝘃𝗲 𝗧𝗵𝗶𝘀

For the most part I have this now.
 - Automation does a lot of the above
 - My EA does most of the rest manually
 - And my team runs and analyzes reports

This isn't new. 

Everyone that can do this, does do this. 

The gap is just building the AI to do it all and correctly.

And when we do.......we just need a database to house the data. 

Do we need Salesforce then?

Or just a solid database?
 - Something with security
 - And proper architecture
 - To house all the data
 - And feed the reports
 - And the AI Agents

I'm struggling to understand why we will need to spend $200,000 just to store this data for 100 salespeople. 

IDK.

What do you think is going to happen?

Will we still be paying for Salesforce in ten years?

🤔

87% of teams missed revenue targets in 2025.
7 reports worth of data told us why.

Not because of bad reps.
Not because of bad tools.

𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗺𝗼𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝗱𝗼𝗻'𝘁 𝗵𝗮𝘃𝗲 𝘀𝘁𝗿𝗼𝗻𝗴 𝗲𝗻𝗼𝘂𝗴𝗵 𝗚𝗧𝗠 𝗢𝗽𝘀 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲. 

We pulled apart the 7 biggest 2025 GTM reports

Scale VP, ICONIQ, Clari, Ebsta, Fullcast, Crossbeam, and Pavilion.

Different data sets. Different methodologies.
Same five problems showing up everywhere.

1. 𝐓𝐡𝐞 𝐝𝐚𝐭𝐚 𝐢𝐬𝐧'𝐭 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲
48% of enterprises admit it
44% of seller contacts aren't even in the CRM
We're buying AI tools to run on broken data

2. 𝐀𝐈 𝐢𝐬 𝐬𝐭𝐮𝐜𝐤 𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲
85% see productivity gains
Only 43% measure revenue impact
AI focused on outcomes 3-5x more likely to grow revenue

3. 𝐈𝐂𝐏 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞 𝐢𝐬 𝐦𝐢𝐬𝐬𝐢𝐧𝐠
High-ICP-fit accounts are 8x more sales efficient
But only make up 23% of the average pipeline
56% of teams still define ICP on gut feeling

4. 𝐄𝐱𝐩𝐚𝐧𝐬𝐢𝐨𝐧 𝐢𝐬 𝐮𝐧𝐝𝐞𝐫𝐟𝐮𝐧𝐝𝐞𝐝
52% of revenue comes from existing accounts
45% win rate vs. 19% on new logos
Most teams still over-resource new business

5. 𝐇𝐚𝐧𝐝𝐨𝐟𝐟𝐬 𝐚𝐫𝐞 𝐛𝐫𝐨𝐤𝐞𝐧
Aligned teams are 67% more likely to hit targets
54% of teams lack functional handoffs
46% have moved to a new model to get around it

None of these are new problems.
That's the point.

𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝘄𝗲 𝗳𝗶𝘅 𝗻𝗼𝘄 𝘁𝗼 𝗵𝗶𝘁 𝟮𝟬𝟮𝟲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀?

We wrote the full analysis:
- Breakdown of key findings over 7 reports
- A detailed look at the patterns that stood out
- Our take on what to prioritize going forward

Subscribe to 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝘽𝙧𝙞𝙚𝙛📰 to get it in your inbox Saturday: https://bit.ly/49RCm0h
And/or....
Comment "Report" and we'll send it to you now

♻️ Repost for priority access

✌️

There's an entire generation of salespeople that can't prospect. 
It's a serious problem with a domino effect many miss. 

It's not just that we have less pipeline.

It goes much deeper......

1️⃣ 𝟳𝟳% 𝗼𝗳 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗶𝘀 𝗻𝗼𝗻-𝗜𝗖𝗣 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝘀 

High-ICP-fit accounts are 8x more sales efficient but made up only 23% of the pipeline for the average company in 2025. This is partially because sales reps are solely dependent upon marketing and SDRs to feed them and have to accept low quality deals and accounts into the pipeline. They have no way to say "I'd be better off spending my time prospecting into a better account."

2️⃣ 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗦𝘂𝗳𝗳𝗲𝗿𝘀

Close Rates are half of what they should be (10%-20% on average) so reps are working 2x the opportunities. This means that have half the time to do the same job, which means they don't prepare adequately and run mediocre discovery. 

3️⃣ 𝗣𝗼𝗼𝗿 𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗞𝗲𝘆 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀

When reps don't prospect, they can't afford to rock the boat and risk losing deals. This means they can't push to get access to key stakeholders. If they upset their champion and lose the deal they can't replace it by prospecting. 

4️⃣ 𝗗𝗲𝗮𝗹𝘀 𝗔𝗿𝗲 𝗦𝗺𝗮𝗹𝗹𝗲𝗿 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹

When reps are chasing the wrong accounts and talking to the wrong people, even when they win, they win smaller more transactional deals. 

5️⃣ 𝗦𝗮𝗹𝗲𝘀 𝗖𝘆𝗰𝗹𝗲𝘀 𝗔𝗿𝗲 𝗟𝗼𝗻𝗴𝗲𝗿

When they're not talking to the right people, deals drag on. Sales cycles get much longer. 

6️⃣ 𝗖𝗹𝗼𝘀𝗲 𝗥𝗮𝘁𝗲𝘀 𝗮𝗿𝗲 𝗠𝘂𝗰𝗵 𝗟𝗼𝘄𝗲𝗿 

This is a big part of why Close Rates are half what they should be. Reps can't walk away from unqualified deals, can't get access to the right people, can't run proper discovery, and can't challenge their prospects. As a result, they chase a lot of deals and win few of them. 

7️⃣ 𝗖𝗵𝘂𝗿𝗻 𝗶𝘀 𝗛𝗶𝗴𝗵𝗲𝗿

When reps land non-ICP accounts into small transactional deals without key stakeholders fully bought in churn skyrockets. I've seen this first-hand myself. I've sold and implemented Salesforce for 15 years now and the #1 differentiator between success and failure is having executive sponsorship. 

8️⃣ 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 𝗶𝘀 𝗡𝗲𝗴𝗹𝗲𝗰𝘁𝗲𝗱 (𝗗𝗲𝘀𝗽𝗶𝘁𝗲 𝗕𝗲𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗲𝘀𝘁 𝗦𝗼𝘂𝗿𝗰𝗲 𝗼𝗳 𝗥𝗲𝘃𝗲𝗻𝘂𝗲)

52% of revenue comes from existing accounts
45% win rate vs. 19% on new logos

Expansion is the best source of revenue. It's far easier and close rates are ~3x but it requires prospecting skills to get in front of new stakeholders in an organization and expand the relationship. This is woefully neglected right now. 

How long can this last? 

🤔

I pulled many of these stats from a report we're releasing this week. 

If you want it......

Subscribe to 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝘽𝙧𝙞𝙚𝙛 📰 to get it in your inbox Saturday: https://bit.ly/49RCm0h

And/or....

Comment "Report" and we'll send it to you now

✌️

We need to adapt to the new State of GTM.
GTM teams will miss 2026 targets because:

- They're using AI to solve the wrong problems
- Their data isn't ready for the AI they're buying
- Deals are dying between departments
- Their pipeline is full of bad-fit deals
- Expansion is underfunded

We consolidated 7 of the biggest GTM reports from 2025 to find out what went wrong.

Avoid making last years mistakes in 2026:

𝟭. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗱𝗿𝗶𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀
- "Phase 2 AI" is 3-5x more likely to grow pipeline
- It goes beyond solving for just productivity
- Use cases like microsegmentation, call scoring

𝟮. 𝗔𝘂𝗱𝗶𝘁 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲
- 48% of enterprises don't have AI-ready data
- Every AI tool you buy runs on this data
- Can't trust inputs = useless outputs

𝟯. 𝗚𝗲𝘁 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗜𝗖𝗣
- High-ICP-fit accounts are 8x more sales efficient
- 63% of CROs don't trust their ICP definition
- Analyze accounts, revise definitions, align
- Real ICPs are easy to close and hard to churn

𝟰. 𝗚𝗶𝘃𝗲 𝗲𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 𝗿𝗲𝗮𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
Faster cycles, higher win rates, fewer stakeholders
- Yet expansion is treated like an afterthought
- Treat it like a motion with ownership and process

𝟱. 𝗙𝗶𝘅 𝘁𝗵𝗲 𝗵𝗮𝗻𝗱𝗼𝗳𝗳𝘀
- 54% of teams have no functional handoffs between marketing and sales
- Deals die in these gaps every quarter
- Audit break points, build the process

The teams that fix these things will pull ahead.
The others will have the same problems next year.

What did we miss?

🤔

𝗪𝗲 𝘄𝗿𝗼𝘁𝗲 𝘂𝗽 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗼𝘂𝗿 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟲.

Subscribe to 📰𝙏𝙝𝙚 𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝘽𝙧𝙞𝙚𝙛📰 to get it in your inbox Saturday: https://bit.ly/4b0hPs6

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♻️ Repost for priority access

✌️

7 Reports Infographic

First 90 days in GTM ops will make or break credibility. 
Most people spend it playing whack-a-mole.

𝐘𝐨𝐮'𝐫𝐞 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐢𝐧𝐡𝐞𝐫𝐢𝐭 𝐚 𝐦𝐞𝐬𝐬
- Outbound is broken
- 55k "leads" (4 year old Zoominfo list)
- Pipeline full of deals that are 300 days old
- Pressure to implement AI  
- (Nobody can tell you what problem it'll solve)

The instinct is to try to fix all of it. 
- I still have to fight that instinct too

𝐃𝐨𝐧'𝐭 𝐭𝐫𝐲 𝐭𝐨 𝐟𝐢𝐱 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐚𝐭 𝐨𝐧𝐜𝐞.

The real work isn't documenting a process or updating Salesforce. That's the easy part. 

The hard part is getting an entire team to change what they do every day. 
 - That takes everything you've got. 
 - Which is exactly why you can't do five things at once.

𝐎𝐧𝐞 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲. 𝐎𝐧𝐞 𝐪𝐮𝐚𝐫𝐭𝐞𝐫. 𝐑𝐞𝐩𝐞𝐚𝐭.
- Pick one priority
- One improvement to GTM
- Document the process
- Build it into the systems
- Drive adoption
- Get management inspecting it consistently

𝐃𝐚𝐲 𝟗𝟎 = 𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐲𝐨𝐮 𝐭𝐫𝐮𝐬𝐭
(As an example)

The end goal here is to pull up a report and actually believe what you see.

𝐓𝐡𝐚𝐭 𝐬𝐞𝐭𝐬 𝐭𝐡𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠

Accurate forecasting. Better coaching. 
Reps who aren't chasing deals that will never close.

𝐃𝐨 𝐭𝐡𝐚𝐭 𝐟𝐨𝐫 𝐨𝐧𝐞 𝐚𝐫𝐞𝐚 𝐢𝐧 𝟗𝟎 𝐝𝐚𝐲𝐬

Then the next area the following quarter. 
6-12 months later your entire GTM engine looks completely different.

We explain the whole playbook on 🎙𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚🎙
"The GTM Ops First 90 Days Playbook"

👉 Listen here: https://bit.ly/4b28Nwn

 👉 Or read the newsletter here: https://bit.ly/4cNCWQY

✌️

How-GTM-Ops-Should-Run-Their-First-90-Days.pdf

CROs make the biggest impact in their first 90 days by fixing the fewest things. 

Most do the opposite.

𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐭𝐫𝐢𝐞𝐬 𝐭𝐨 𝐟𝐢𝐱 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐚𝐭 𝐨𝐧𝐜𝐞

You walk in and the list hits you immediately
- Outbound is broken
- Inbound leads aren't getting follow up
- Pipeline is full of deals w/ no chance
- Oh and we need to implement AI 
- Whatever that means

𝗧𝗵𝗲 𝗶𝗻𝘀𝘁𝗶𝗻𝗰𝘁 𝗶𝘀 𝘁𝗼 𝘁𝗮𝗰𝗸𝗹𝗲 𝗮𝗹𝗹 𝗼𝗳 𝗶𝘁.

I've made that mistake. 

I used to do live white-boarding sessions
 - With CROs and all revenue leaders
 - It would quickly turn into a mess
 - Just as I described above
 - Problems all across GTM

I left these meeting with zero conclusions. 
 - Just a jumbled mess of things to fix. 

It made everyone more anxious.
 - Zero clarity gained
 - Everything was a priority
 - So nothing was a priority

𝐏𝐢𝐜𝐤 𝐨𝐧𝐞 𝐭𝐡𝐢𝐧𝐠. 𝐆𝐞𝐭 𝐢𝐭 𝐫𝐢𝐠𝐡𝐭. 𝐌𝐨𝐯𝐞 𝐨𝐧.

Not inbound AND outbound AND onboarding
AND pipeline AND AI implementation

One thing
- Get the process documented
- Get it built into the systems
- Get the team executing it the same way
- Get management inspecting it consistently
- Get to a point where you trust the reports

𝗧𝗵𝗮𝘁'𝘀 𝗶𝘁. 𝗧𝗵𝗮𝘁'𝘀 𝟵𝟬 𝗱𝗮𝘆𝘀.

Then do it again next quarter with the next thing on the list.

Actually I'm being conservative here.
 - We often tackle two areas in one quarter
 - Ex) Outbound AND Pipeline Management
 - If the team/motions aren't too big/complex
 - But we are laser focussed on those two things
 - And just on getting the foundation set in place
 - Then we can tackle two more in the next quarter

𝐓𝐡𝐚𝐭'𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐫𝐞𝐯𝐚𝐦𝐩 𝐆𝐓𝐌 𝐢𝐧 𝐚 𝐲𝐞𝐚𝐫

The ones that try to fix everything?

I talk to them a year later and they still have the same problems.

We broke all of this down on the 🎙𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚🎙Podcast
- How to pick your first priority
- What "done" actually looks like at day 90
- Why clean reports > perfect processes
- How to say no when the ad hoc requests threaten to derail GTM Ops momentum

 👉Listen to "GTM Ops First 90 Days Playbook" here: https://bit.ly/4b28Nwn

 👉Or read the newsletter here: https://bit.ly/4cNCWQY

✌️

Only amateurs think Salesforce is too complicated. 

Let me explain with an analogy. 

Let's talk about modern farming. 

𝗠𝘆 𝗴𝗿𝗮𝗻𝗱𝗳𝗮𝘁𝗵𝗲𝗿 𝗳𝗮𝗿𝗺𝗲𝗱 𝟰𝟬 𝗮𝗰𝗿𝗲𝘀 𝘄𝗶𝘁𝗵 𝗮 𝗺𝘂𝗹𝗲.
 - Okay more like 100 acres
 - And I think he had a basic tractor. IDK.
 - But nothing like what farmers do today. 

I don't know a lot about farming. 
 - But I visited two farms recently. 

𝗙𝗮𝗿𝗺 #𝟭 - 𝟭𝟳,𝟬𝟬𝟬 𝗮𝗰𝗿𝗲𝘀 - 𝟭 𝗴𝘂𝘆
𝗙𝗮𝗿𝗺 #𝟮 - 𝟯𝟱,𝟬𝟬𝟬 𝗮𝗰𝗿𝗲𝘀 - 𝟯 𝗴𝘂𝘆𝘀

Notice the INSANE difference?

𝗔𝗹𝘀𝗼, 𝟱𝘅 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗼𝗻 𝘆𝗶𝗲𝗹𝗱 𝗽𝗲𝗿 𝗮𝗰𝗿𝗲

So......

That 1 guy with 17,000 acres.....

𝗛𝗲'𝘀 𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝟴𝟱𝟬𝘅 𝘄𝗵𝗮𝘁 𝗺𝘆 𝗴𝗿𝗮𝗻𝗱𝗳𝗮𝘁𝗵𝗲𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝗱. 
 - 170X acres x 5X yield/acre = 850X production

That's INSANE!

𝗡𝗼𝘄, 𝗹𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵

What does this 1 guy use to farm 17,000 acres? 
 - He has a +$2,000,000 satellite connected tractor
 - He has millions more in other equipment 
 - He has GMO engineered seed as well

Is he complaining this is too complicated?

Or did he roll up his sleeves and basically get a PhD in farming technology so he could outproduce my grandfather by 850x?

If you think Salesforce is too complicated, just hire someone that knows what they're doing. 

Or find a tool that helps you produce more revenue. 

So you (Mr./Ms. CRO) can focus on scaling GTM. 

But don't complain about the complexity. 

(Part of) it is there for a reason. 

Same for every other tool and now, AI. 

✌️

"38% win rate? Those are rookie numbers."
- Kyle Norton's team increased theirs to 53%!

𝗛𝗶𝘀 𝘁𝗲𝗮𝗺 𝗱𝗲𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘀 𝘁𝗵𝗲𝗶𝗿 𝗳𝘂𝗻𝗻𝗲𝗹 𝗺𝗼𝗻𝘁𝗵𝗹𝘆, 𝗲𝘃𝗲𝗻 𝘄𝗵𝗲𝗻 𝗻𝗼𝘁𝗵𝗶𝗻𝗴'𝘀 𝗯𝗿𝗼𝗸𝗲𝗻. 

They scored 150+ calls with AI, found that 10 of 12 winning behaviors were end-of-call skills, and coached accordingly.

𝟑𝟖% → 𝟓𝟑% 𝐰𝐢𝐧 𝐫𝐚𝐭𝐞𝐬 𝐢𝐧 𝐨𝐧𝐞 𝐪𝐮𝐚𝐫𝐭𝐞𝐫.

Kyle Norton, CRO at Owner.com, sat down with us on the GTM Science podcast. 

𝐓𝐡𝐞 𝐜𝐨𝐧𝐯𝐨 𝐰𝐚𝐬 𝐠𝐨𝐥𝐝:
- Why most enablement "totally sucks"
- How he trains reps so skills actually stick
- Why he doubled enablement + hired fewer reps
- How he decides what to fix and what to ignore
- Why the CRO job at $5M is a sales manager job
- How he scaled from $2.5M to $60M+ in 3 years

Kyle told us this conversation is basically Owner.com's secret sauce.

His words, not ours.

"CRO Stories: The Investments and Priorities That Took Owner.com to $60M ARR " on 🎙𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚🎙 
 
👉 Listen on Spotify: https://bit.ly/4b28Nwn
👉 Listen on Apple: https://apple.co/3y8lch6

✌️

Increasing I think 20 hrs/wk is the ideal workload. 

𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰𝗮𝗹𝗹𝘆, 𝟮𝟬 𝗵𝗿𝘀/𝘄𝗸 𝗼𝗳 𝗿𝗲𝗰𝘂𝗿𝗿𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀

Been working on this w/ my marketing manager
 - Every week she has ~20 hrs/week of work
 - This is down from maybe ~30 hours
 - Because she was stressed

How is that possible?
 - 30 hours of recurring activities
 - Plus one-time initiatives
 - Plus emergencies
 - Plus getting sick
 - Plus holidays
 - Plus plus

This left her in a constant state of feeling behind

So, we're working on three things. 

𝟭. 𝗚𝗲𝘁 𝘁𝗼 ~𝟮𝟬 𝗵𝗿𝘀/𝘄𝗸 𝗼𝗳 𝗿𝗲𝗰𝘂𝗿𝗿𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀
 - Try to do these tasks first
 - This is our content engine
 - Stuff that has to go out weekly

If this is done by noon on Wednesday, we can all breath a sigh of relief here. If one piece of content takes longer, we have a healthy margin for error. 

𝟮. 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗼𝗻𝗲-𝘁𝗶𝗺𝗲 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀
 - The website breaks
 - We onboard a new agency
 - We decide to start doing ads
 - And also building the backlog
 - Producing 2x content in one week
 - That's also not indefinitely recurring

The list of this stuff is endless and it often interferes with the recurring tasks such that she is (as am I) scrambling at hit important deadlines for the things that HAVE to go out. 

Some of this stuff has to get fixed ASAP (like the website breaking) but other things like launching our first ad campaign can wait a couple of days. 

𝟯. 𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝘁𝗶𝗺𝗲 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸
 - Get workload down
 - Remove needless pressure
 - So people have time to think

This is the only way anyone can "be strategic." We all need time to breath. With the above structure, she can work on one-time activities and have time to breath so she can think about the bigger picture. 

𝗪𝗵𝘆 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 

I've been doing this for 6-12 months myself and I'm realizing that the only way to stay consistent, to wake up every single day and go to the gym, post on LinkedIn, do my sales activities, manage the business, etc. is to get this to ~20 hours per week or less. 

If we push this to 30, 40, 50, then there is no time for anything else. That means that onboarding a new hire, redesigning the website, etc. etc. means that my consistency falls off. 

Something has to give. 

This for me is the most productive work structure. 

But what works for you and/or your team?

🤔

No one's been a CRO in 2026 before.
This is all new ground for us, things are changing.

It's not that the old playbooks are obsolete
But they're not how things get done anymore.

Jody Geiger, co-founder of AI Revenue Studio discussed these changes on our podcast.

𝐓𝐡𝐞 𝐛𝐞𝐬𝐭 𝐆𝐓𝐌 𝐨𝐫𝐠𝐬 𝐚𝐫𝐞𝐧'𝐭 𝐛𝐮𝐢𝐥𝐭 𝐨𝐧 𝐭𝐨𝐨𝐥𝐬

They're built on:
- Clarity
- Trust
- Rhythm

RevOps taught us the power of systems.
But also the limits.

You can't dashboard your way to growth.

𝐖𝐡𝐚𝐭 𝐰𝐢𝐧𝐧𝐢𝐧𝐠 𝐭𝐞𝐚𝐦𝐬 𝐝𝐨 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲
- They build lightweight systems
- Systems that create space to think
- Not just click without context

"I want them to turn their brains on," Jody says.

AI can automate busy work.

But it won't automate:
- Judgment
- Empathy
- Curiosity

Those things win deals.

𝐋𝐨𝐬𝐢𝐧𝐠 𝐭𝐞𝐚𝐦𝐬 𝐜𝐡𝐚𝐬𝐞 𝐬𝐩𝐞𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐫𝐮𝐬𝐭

The winning teams move fast because:
- They ground themselves in understanding
- They build from connection and curiosity
- They create space for experimentation
- They make mistakes ("first pancake is burnt")

𝐈𝐧 𝐲𝐞𝐬𝐭𝐞𝐫𝐝𝐚𝐲'𝐬 🎙𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚🎙𝗣𝗼𝗱𝗰𝗮𝘀𝘁...

We covered:
- Why process isn't the enemy
- Building systems with learning loops
- Finding friction in your GTM motion
- Making space for team experimentation
- The skills that define elite sellers
- Context beats content every time
- Creating a culture of agency
- How to chart a path that doesn't exist yet

We're in a new world.
Leaders need to shift and grow.

𝗛𝗼𝘄 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝘀𝗽𝗮𝗰𝗲 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸?

🤔

Listen to the episode "Building a Culture of Innovation with AI" on 🎙𝙂𝙏𝙈 𝙎𝙘𝙞𝙚𝙣𝙘𝙚🎙 here: https://bit.ly/4b28Nwn

✌️

I teach revenue teams how to use AI | 20+ years leading and scaling sales orgs | Co-Founder, AI Revenue Studio

AI Revenue Studio

Our board wants revenue impact THIS quarter.
Not 90 days from now.

𝐁𝐮𝐭 𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐡𝐚𝐬 𝟏𝟎𝟎 𝐭𝐡𝐢𝐧𝐠𝐬 𝐭𝐨 𝐟𝐢𝐱
- Visibility gaps
- Pipeline struggles
- Lost deals and churn
- Missed expansion
- AI implementation
- And zero direction on where to start

We can't fix 100 things at once.
But we CAN find quick wins with longterm impact.

How?

𝐒𝐭𝐞𝐩 𝟏: 𝐅𝐢𝐧𝐝 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐠𝐚𝐩

Where is the most revenue at stake?
- New business or NRR?
- Close rates or more pipeline?
- Reduce churn or expand more?
- Inbound or outbound?

𝐈𝐭'𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

When CROs say they need more pipeline, we push back.
- A broken sales process wastes pipeline
- Gaps exist in both new biz and expansion
- Fix pipeline management first

Here's a quick way to determine the priority:
- Gross Retention well below 90% → Renewals
- Net Retention well below 100%  → Expansion
- Low close rates, long cycles → Pipeline Mgmt
- Strong close rates, thin pipe → Pipeline Gen

𝐒𝐭𝐞𝐩 𝟐: 𝐒𝐭𝐚𝐫𝐭 𝐚𝐭 𝐭𝐡𝐞 𝐛𝐨𝐭𝐭𝐨𝐦 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐲𝐫𝐚𝐦𝐢𝐝

Fundamentals and Adoption can take weeks.
Optimization and Amplification can take years.

Cover your biggest priority areas in 1-2 quarters:
- Pipeline Mgmt → Inbound/Outbound
- Then Renewals → Expansion
- Or whatever your biggest gap is

Quick wins live at the bottom of the pyramid.

𝐒𝐭𝐞𝐩 𝟑: 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐫𝐨𝐚𝐝𝐦𝐚𝐩

Get CRO, leadership, and ops on one plan:
- Prioritize initiatives
- Tackle highest-impact first
- Create a system to triage ad hoc fires

No massive reorgs.
No strategic pivots.

Quick wins that set the stage for long-term scale.

We broke all of this down in the
𝗚𝗧𝗠 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗣𝘆𝗿𝗮𝗺𝗶𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝘃𝟯.𝟬

Access the Framework and all assets here
 👉 https://bit.ly/4ryrLA8

✌️

GTM Efficiency Pyramid - Quick Wins - Carousel

Acquire and expand customers quicker, cheaper, and for longer | Coaches B2B scale-ups scale more efficiently and effectively through proven frameworks | Organizing the MarTech World Forum London 2024

If your board or investors ask simple revenue questions and three people disappear into Excel, we need to talk.

Your forecast sounds confident on Monday. By Thursday, reality disagrees, and no one can explain why.
You spend more time arguing about stages than coaching deals. 
Deals do not die in your CRM. They just quietly age out while everyone watches.

The heroics that got you here are now the bottleneck. You have 15 dashboards, forecast theatre instead of truth, and a revenue engine leaking cash at invisible handoff points.

You are not bad at this. The system is.

I help €20 to 100M B2B SaaS scale-ups turn scattered data and forecast theatre into a revenue engine you can actually steer. Within 90 days. Without a reorg, new tools, or hiring a full-time VP RevOps.

Your RevOps team owns the system when I leave. I bring the pattern. They keep it running.

We start with a fast 4-part maturity scan to find the real constraint. Then we install three structures:
→ One-page strategy linking goals to the programs that actually move pipeline, win rates, and NRR.
→ One Revenue Room where metrics, risks, and decisions live in one view. No more "marketing numbers" vs "sales numbers." Just the number.
→ One operating cadence that replaces updates with decisions. If we are not making decisions, we are just having expensive coffee.

When it works, you explain where pipeline is healthy, where it is leaking, and how you are fixing it in 10 minutes flat. You get the headspace to think 3 years ahead, not 3 hours behind.

I am Rutger Katz, Fractional VP of RevOps.
Most RevOps people grew up in the growth bubble. They know how to spend money. I spent 15 years architecting efficient growth, so I know how to stop wasting money.

At one tech company, I uncovered €1M in unseen upsell opportunities. 
At Relay42, I rebuilt onboarding and adoption to move NRR.

Stop drifting. Start steering.
Revenue Engine Checkup in Featured. 10 minutes.
Or DM me "CHECKUP" for the questions directly.

I also speak/podcast guest on strategic RevOps, neurodivergence in leadership, and scaling to 100M ARR. 
Check www.neontriforce.com/speaking for more

Rutger Katz

I hate lead magnets. I'm also terrible at sharing files.
 
I've spent a year collecting RevOps resources, talking to ChatGPT/Claude, and formulating proven frameworks I applied the last 15 years. I extracted that in a set of Claude skills specifically for RevOps and GTM work. 

Not generic prompts. 

Skills with real methodology baked in: SPICED qualification, forecasting frameworks, HubSpot implementation patterns, change management, crisis triage, GTM comp design.
 
25 skills. 8,333 lines. Free.
 
But the more interesting thing is how they work.
 
Most people use Claude with structured prompts. "Act as a senior RevOps leader. Here is the context. Here is what I need. Format it like this." Every single time.
 
Skills are different. You upload the file to a Claude Project once. Claude reads it as background knowledge. From that point, every conversation in that project runs on the skill automatically. Claude knows which frameworks to use, which questions to ask, what to watch out for.
 
You stop prompting. You just ask questions or give assignments.
 
↳ "Why is our forecast always wrong?" 
↳ "Help me build a change management plan for this CRM migration." 
↳ "Our pipeline coverage looks fine but we keep missing. Where's the leak?"
 
Claude responds like a specialist, not a generalist.
 
Six skills stayed private. Those have client diagnostic and proposal methodology in them that people pay for.
 
The other 25 are yours.
Free (for now).
 
Comment or DM IHateLeadMagnets 
(or something else so that I can see you want it).
Put your hand up in whatever way you like, I'll send you the ZIP.

AI-native revenue engines for €15–150M B2B SaaS | Fractional VP of RevOps | Replacing spreadsheets and gut feel with compounding systems in 90 days | Double Daughter Dad

A simple new direction turns into seven things RevOps now has to rebuild.
 
Sandy Robinson, M.Ed. put words to it in Pavilion's RevOps School this week. I've seen it across enough clients to know it's not an exception. It's the pattern.
 
Leadership makes a call. New segment. Going upmarket. ICP shift. Motion change from inbound to ABM. 

It sounds like one decision. A direction. A slide in a deck.
 
By the time it reaches RevOps, it's something else entirely.
 
↳ ICP changes. Every targeting criteria, every account list, every scoring model needs rethinking. 
↳ Process changes. Qualification methods built for the old motion don't fit the new one. Handoffs break. Playbooks are wrong. 
↳ Tooling changes. Sequences, automations, configurations. Nothing carries over cleanly. All of it needs rebuilding. 
↳ Data definitions change. What does qualified mean now? What's a good fit? What does the funnel even look like?
 
Nedap is a good example of the opposite. They understand the size of what they're taking on. They want to map it properly before they start moving. That's not caution. That's how you avoid getting buried.

They scoped change across technology, data, process, upskilling, kpis and more. A big program, but it will stick.
 
The younger scale-ups I've worked with often hit this mid-execution. Three months in, RevOps is buried. Not because they're slow. Because nobody showed them what was coming.
 
The fix isn't complicated. Bring RevOps into the strategic conversation before the announcement. Not after. Not to slow it down. To map the avalanche while there's still time to prepare.
 
One decision at the top. Everything moves underneath. They should probably know it's coming.

I stopped writing long AI prompts. Built skills instead. The output quality jumped.

Next week I'm releasing a free GTM skill set for Claude. The skill carries the structure, the frameworks, the context. You describe what you need. It already knows how to think about it.

The RevOps set I built:
↳ RevOps Strategy
↳ RevOps Diagnostic
↳ RevOps Crisis
↳ RevOps Change Management
↳ RevOps Data Governance
↳ RevOps Forecasting
↳ RevOps Four-Capability Maturity Assessment
↳ RevOps HubSpot
↳ RevOps Metrics
↳ RevOps Tech Stack
↳ Revenue Operating Cadence
↳ CS Operations

Plus curated sales and marketing skills — GTM planning, compensation, sales methodology, marketing operations — so you have the full picture, not just one function.

No prompt engineering. The expertise is baked in.

There aren't any freely available RevOps skill sets out there right now. Feels like the right moment to change that.


Other things compounding quietly this week:

↳ 22 push-ups this yesterday. Was grinding through 10 a week ago. 1% improvements are invisible until they aren't.

↳ 60 sign-ups for the next Scale Up with HubSpot event. We were bracing to scrape to 50. Keep making the thing better, the numbers follow. Same principle, different context.

↳ EU roadshow conversations starting. Small, intimate events by design. Quality exchange only happens in a room where everyone knows everyone's name. The Dutch say massa is kassa. We respectfully disagree.

↳ If you're a sponsor whose ears just twitched, my DMs are open.


Drop a comment below if you want a heads-up when the skills drop next week. I'll come find you.

Governance is the most boring word in RevOps.
 
It is also the one thing that separates strategic partners from ticket-takers.
 
Everyone wants RevOps to be strategic. Few companies give RevOps the governance, decision rights, and process ownership that make strategic work possible.
 
I sat down with Jeff Ignacio on The RevOps Review Podcast to talk about what that shift actually looks like in practice.
 
We covered:
 
↳ What I think Winning by Design gets right about how revenue should work 
↳ Why governance and clear decision-making matter more as you scale 
↳ The real blockers when RevOps tries to move from tactical to strategic 
↳ Why customer adoption is a revenue conversation, not just a CS conversation 
↳ My Revenue Ops Maturity Model and where most scale-ups honestly sit on it
 
21 minutes. And we managed to talk about revenue operations without mentioning AI once.
 
Funny how much there is to sort out before the robots take over.
 
Link in comments.

Two companies deployed AI in their GTM. Same tools. 
One grew revenue per seller by 61%. 
The other lost 26%.

The difference wasn't the technology.

The 2026 Fullcast × Pavilion benchmark just made this painfully clear across 361,000 opportunities and 316 companies.

Group one focused on leverage. They closed fewer deals, moved upmarket, and used AI to sharpen qualification, routing, and deal prioritisation. 
R͟e͟s͟u͟l͟t͟: revenue per seller up 61%. Average deal size up 44%.

Group two focused on volume. They hired 38% more reps, flooded the top of funnel, and used AI to scale outreach and activity. 
R͟e͟s͟u͟l͟t͟: pipeline grew 72%. But revenue per seller dropped 26%. And deal sizes shrank.

Both groups adopted AI. Only one built the operating system to make it work.

And by operating system I don't mean software. I mean the decisions baked into how you run revenue: who you target, how deals qualify, what triggers action, and what gets ignored.

This is the pattern I keep seeing at scale-ups between €15M and €150M. The instinct when growth slows is to add volume: more reps, more pipe, more tools. The data (and my experience) says the opposite works: fewer, better-qualified deals with rules that enforce quality at every stage.
AI is an accelerant. It doesn't care what it accelerates.

→ Precise ICP, enforced stage gates, signal-based routing? AI compounds that.
→ Fuzzy targeting, no governance, activity-based KPIs? AI compounds that too. Faster.

Before you buy the next tool, ask one uncomfortable question:

Are the decisions underneath it worth accelerating?

📊 Data: Fullcast × Pavilion 2026 GTM Benchmark Report
h/t Guy Rubin

The worst feeling in SaaS:
 
Huge pipeline. Missed target. Again.
 
Here's the pattern I see with every founder past €5M ARR:
 
They're targeting €5M this quarter. 
They've got €20M in pipeline. 
They're converting 20%.
 
That's €4M. They miss.
 
So what's the reflex?
 
"We need more pipeline."
 
I've watched founders double down on this for 6 months straight. 
More outbound. More content. More events. 
The CRM looks like a crime scene. 
The sales team is drowning in demos they'll never close.
 
And conversion stays flat at 20%.
 
Because if your conversion is broken, more pipeline just means you're burning CAC faster on deals you'll never win.
 
It's like hiring more waiters when the kitchen's on fire. Everyone's very busy. Nothing's getting served.
 
𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀:
 
𝗙𝗶𝗿𝘀𝘁, 𝗱𝗲𝗳𝗹𝗮𝘁𝗲 𝘁𝗵𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲.
 
That €20M is contaminated. Zombie deals. Wrong-fit ICPs. Opportunities your reps keep "nurturing" because killing feels like losing.
 
Cut it to €15M. Same target. Less noise.
 
Now you're converting 27% instead of 20%. Same €4M. Way less waste.
 
𝗧𝗵𝗲𝗻 𝗽𝘂𝘀𝗵 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝟲 𝗽𝗼𝗶𝗻𝘁𝘀.
 
Fix the handoffs. Sharpen the enablement. Give people clear next actions instead of dashboards they never open.
 
33% of €15M = €5M.
 
Target hit. Zero extra pipeline required.
 
𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗮𝘁 𝗥𝗲𝘃𝗢𝗽𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗱𝗼𝗲𝘀. 
Not dashboards. Not Salesforce janitor work.
 
It turns pipeline chaos into a system that compounds.
 
Most founders skip it. They hire GTM Engineers and Clay gurus instead. Then wonder why two quarters later they're still missing the target with twice the CAC.
 
Same pattern every time:
 
They think it's a pipeline problem. It's a conversion problem. 
They think it's a people problem. It's a system problem.
 
If you're past €5M ARR and this feels familiar, there's a 10-minute diagnostic in my featured section Rutger Katz.
 
It shows you where your revenue is actually leaking and what not to touch yet.
 
If it's worth going deeper, we book 45 minutes and make it practical.

Move pipeline is not the answer, RevOps is

Most revenue architecture rollouts plateau at the same point.
 
Teams are enthusiastic. Bowtie gets mapped. SPICED gets trained. Early wins show up.
 
Then it stalls. Quietly.
 
It's almost never the framework.
 
What's missing sits underneath it. Two layers and one rare resource that most companies leave completely unprotected.
 
↳ Swipe through for the full breakdown.
 
The short version: Governance protects the investment. Enablement makes the new way of working stick. Champions carry both.
 
I've seen what happens when you lose them. Eight people driving a platform rollout at a bank. Strategy shifted. All eight scattered overnight. Two years of work, gone in a week.
 
If you're rolling out revenue architecture or any operating model across multiple teams, one question before you start:
 
What system protects this when priorities shift?
 
If you can't answer that, you're hoping it lands. And hope doesn't scale.

Change fails without governance and enablement

Suffering from success. I hate lead magnets. Made one anyway. Then spent an evening emailing .zip files to strangers.
 
Last week I posted "25 Claude Skills for RevOps & GTM." Built them because they didn't exist and I wanted them for client work. Posted them because other people probably need them too.
 
About 50 people responded.
 
LinkedIn doesn't allow .zip files in DMs. So I did the only logical thing: emailed them individually.
 
This morning, I built a resource page on Lovable. Took 30 minutes. Drop your email, get the files. I can add every free resource I build going forward.
 
One follow-up email goes out a week later: "Did any of it stick?"
 
Not to sell. To learn. The skills only get better if I know what's broken.
 
I build revenue systems for companies stuck doing things manually. Apparently, I needed a LinkedIn limitation to apply that to myself.
 
Link in first comment (which LinkedIn probably buries).

I was a terrible corporate employee.
 
Held back in school, not because I couldn't do it, but because it bored me. Tried five different study programmes before finishing. Six companies in 12 years (low for most salespeople). Failed spectacularly at project management. Frustrated every manager I worked for.
 
My brain has one setting: obsessed or checked out.
 
ADD means I can't tolerate noise. Broken processes, meetings without purpose, misaligned KPIs... My brain physically rejects them. In corporate that made me "difficult." In consulting, it became a diagnostic instrument.
 
Every role taught me what a broken system looks like from the inside:
 
→ At a marketing consultancy, five disciplines refused to collaborate because each had separate KPIs 
→ At a logistics company, three leadership changes produced zero improvement because the company's operating system never changed 
→ At a 100-person consultancy, I watched brilliant frameworks die because nobody installed the cadence to make them stick
 
I didn't collect these experiences on purpose. But now I walk into a company and within two weeks the patterns are screaming. Not because I'm brilliant (but it does help 😉).
 
Because I've been inside six versions of the same broken system.
 
What looked like a messy career was actually pattern recognition in training.
 
If you've ever felt like the wrong fit for the system, maybe the system was wrong, not you.

P.S. Guys, it's Women's Day, so grab a bouquet of flowers for your wife and shower her with love

Three people will describe your sales process. None of them are right.
 
The CEO describes the one they designed two years ago. 
The VP describes the one they trained on last quarter. 
The rep describes the one they follow when their manager is watching.
 
Ask what actually happens when push comes to shove: last week of the quarter, big deal on the line, pipeline review in two hours, and you get a fourth answer. From nobody, because nobody has looked.
 
I spend my first week sitting on sales calls. Not to understand the product. To see what reps actually do when it matters.
 
Then I open HubSpot.
 
Deals stuck in the same stage for 60 days. Missing qualification fields. Stages that do not reflect the conversation that actually happened. You can see the gap between what the process says and what people do. Right there in the deal records.
 
That gap is where revenue leaks. Not in the strategy deck. Not in the methodology training. In the space between what leadership thinks is happening and what reps actually do under pressure.
 
The first 90 days are not about building something new.
 
They are about making visible what is already there, standardising what works, and removing what does not.
 
Most companies try to fix what they think is broken. The ones that improve fix what is actually broken. That requires seeing it first.

Your pipeline just shrank. Congratulations. That is progress.
 
First thing I do in any engagement: kill deals. Zombie opportunities that have not moved in three months. Prospects who went dark after the demo. Deals sitting in late stage because nobody wanted to close them out and watch the coverage number drop.
 
Strip those out and the pipeline is €3M lighter.
 
The CRO panics. 


Understandable.
 
But here is what actually changed. The forecast is now honest. The conversion rate now reflects reality. The team stops spending cycles on deals that were never going to close and starts focusing on the ones that might.
 
Nobody asks about the ROI of that.
 
They ask about the ROI of the system, the process, the engagement. Fair question. But the ROI is not always a bigger number. Sometimes it is a smaller number you can actually trust.
 
Zombie deals made your pipeline look healthy right up until you missed. They made your conversion rate meaningless, your forecast unreliable, and your team's effort invisible, because effort spread across dead deals looks like activity without results.
 
Killing them does not cost you revenue. It just removes the illusion of it.
 
It gets worse though...


 
Strip out the zombies and you might discover your pipeline is not just dishonest. It is too small.
 
You were not over-covered. You were under-covered and did not know it because the dead deals were filling the gap.
 
Now you have a different problem to solve. A real one.
 
That is still progress. You cannot fix what you cannot see.

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