Growth Hub

Founder & CEO

Quantanite

Sold out of Quantanite having scaled from $1m AAR to $20m ARR within 5 years. Closing multiple deals from 10-350 seats.

Chief Commercial Officer & Shareholder

Founder (Growthonics)

CAKE Technologies

•	Planned and executed the overall sales and business development strategy from the ground up.
•	Built a team to take signed partners from just 14 to over 280 including Corbin and King, Ricker Restaurants, Soho House Group, Toms Kitchen, Salt Yard Group, M Resturants, Obica, Noble Inns and the Zetter Group.

Sales Director

Rocket Internet SE

Managing Director, Sales

Pheonix Global Management

Director Business Development

Walton Asset Management 

Sage

Formally Alchemex (Bought by Sage in 2011).

Business Development

Waltech PLC

Business Development & Shareholder

In deal origination, speed wins—but most firms are still slowed down by messy data, manual processes, and missed signals.

I help deal teams cut through the noise with automation, AI, and real-time insights—so they can focus on what really matters: closing better deals, faster.

As CEO and Founder of Growth Hub, I work with private equity, venture capital, and M&A teams to transform their data from a liability into an advantage. We make sure your CRM is an asset, your pipeline is enriched, and your team is always ahead of the curve.

If your deal flow feels like guesswork instead of a well-oiled machine, let’s talk.

🚀 Data-driven. AI-powered. Deal-focused.

Dan Vanrenen

We got a kitten.

His name is Gus.

He was a birthday present for our youngest, who just turned 8.

And my immediate reaction was:
WTAF are we doing?!

We already have two kids.
Two dogs.
And my wife and I work full-time, together, from home.
Same business. Same office.
Same general chaos.

So yeah…adding a kitten maybe wasn’t the most logical move.

But here we are.

This week Gus has discovered the keyboard.
Rollo (our 8-month-old lab) still face bombs team calls.
Bingo (our 7 year old cockapoo) insists on barking when I'm trying to have a serious call. 
And our house is now essentially a co-working space with fur.

Sometimes I wonder if it’s a bit much to share online.
That we work from our home office.
That we work as a couple.
That I don’t have a slick office in the city and can’t remember the last time I wore a tie for work. 

I worry it might look… small.
Like we’re not “serious” enough for financial services.

But this is our reality.
And the more I think about it the more I think that people actually LIKE working with us because we aren’t particularly ‘corporate’. 

We don’t have lots of middle management (none, in fact). 
If there’s a problem our clients get to speak to Katherine or me. 
We know our clients' workflows inside out. 
There’s no ‘let me push this up the ladder and see if we can accommodate’.  

Just two people at the coal face, supported by the best team in the business, and surrounded by pets. 

It’s busy.
It’s slightly feral.
But it works.

Maximise the impact of fee earning staff with our global capability data, research and operational support teams | Founder & CEO of Growth Hub

AI isn’t coming for your job.

It’s coming for your outdated process. 👀

Too many deal origination teams won’t adopt AI. 
I know this because I’ve spoken to quite a few of them. 

And it’s not because the tools aren’t there (we use them daily). 
And it’s not because they don’t know how to implement it (we do it for them). 

It’s because their culture resists it. 🧱

And I get it, because change = putting your neck on the line. And financial services are notoriously cut-throat. 

But here’s the thing:
AI doesn’t threaten good operators.
It threatens the fragile workflows that have been duct-taped together for years.

And let’s be honest…a lot of firms still rely on expensive talent doing labour intensive workarounds instead of fixing the engine. 🧯

Meanwhile, we’re watching leaner firms eat their lunch. 🍽️

They’re embedding AI into research.
Letting global support teams automate prep.
Removing 60–70% of the admin grind. ⚙️

They’re scaling output without scaling headcount, and moving faster because of it. 🚀

The truth is:
AI and smart ops don’t replace good people (unless you’re Amazon). 
They replace the parts of the job that no one should still be doing. 🧠

And the longer teams cling to "how we’ve always done it,"
the more painful 2026 is going to be. ⏳

Amazon is cutting 30,000 corporate roles and AI is driving the change.

But this isn’t a playbook for everyone else.

Leadership has been direct: AI and automation are enabling "layer removal" and structural redesign at scale.

In short,  when you're Amazon, AI isn't just a productivity tool. It's an org design tool.

But that only works when you have:
✅ Fully digitised processes
✅ High internal data quality
✅ Budget for trial and error
✅ Time to absorb disruption

And that’s simply not the reality for most firms.

In mid-sized and specialist businesses, process is messier, domain knowledge is distributed, and there’s less room to get it wrong.
Which is why AI adoption looks very different at that scale.

The goal isn’t to replace headcount.
It’s to build operational leverage.
To free up bandwidth, not eliminate it.

For most firms, sustainable efficiency will come from:
🔹 Smarter workflows
🔹 Cleaner data foundations
🔹 Human-in-the-loop automation
🔹 Purposeful use of tools like Clay, ChatGPT, and Perplexity

The short version?
AI doesn’t need to be disruptive to be powerful.
And transformation doesn’t require an axe.

The real opportunity isn’t cost-cutting.
It’s capability-building💡.

They’re not support teams. They’re not back office.

They’re capability teams...

If you're still lumping global talent into the “support” bucket, you're missing the point (and the leverage).

The best firms don’t outsource for cost.
They embed teams to unlock capacity, precision, and pace.

And these capability teams? They’re doing real, high-value work:
- Fixing broken pitchbook exports before they go client-side
- Tracking succession signals before your MD even asks
- Unblocking reporting bottlenecks without being told
- Building AI workflows that cut 10+ hours of admin a week
- Cleaning CRM data that’s been quietly rotting for months

Not reactive.
Not low-skill.
Not disposable.

These are embedded specialists solving problems the core team doesn’t have the time (or headspace) to fix.

If you're still calling that "support," you're already behind.

The smartest firms now treat capability like infrastructure:
Essential. Flexible. Strategic.

Because leverage doesn’t come from bloated org charts.
It comes from embedding execution capacity where the work actually happens.

Deal Operations.

Here’s how to run it like a pro:

Last week I shared that in the run-up to Christmas, I’ll be posting a few things we’ve seen work inside high-growth firms.

Here’s what we’re seeing most often (and what actually works):

🧩 Week 1: Deal Operations
CRM, pipeline tracking, reporting, and the invisible workflow debt that kills velocity.

1. The CRM isn’t broken. But it’s not helping.
Everyone uses it. No one fully trusts it.
Tagging is messy. Pipeline stages unclear.
Last touchpoint? Two months ago.

✅ What works:
One owner per list.
Daily updates.
Fields that mirror how teams actually talk about deals.

2. Reporting is still too manual
It takes four exports, a formatting marathon, and two “just checking” emails.
By the time the update lands, the numbers have changed.

✅ What works:
Build export-ready formats once.
Use live data and light automation.
Push updates on a regular cadence, not just when asked.

3. Small blockers add up
No clear owner.
No version control.
No one knows if the CRM is up to date.
That low-grade drag stalls everything.

✅ What works:
Tidy workflows.
Fast feedback loops.
Embedded support that keeps things moving.

(Sidenote: I know December isn’t the easiest time to reflect…It’s busy. Everyone’s trying to close strong. Sometimes ‘surviving, not thriving’ is as good as it’s going to get.

But if it’s feeling a bit chaotic, it might be worth clocking the drag now so you can think on how to go into 2026 with a slightly more chill approach…).

________

👇 What’s one deal ops habit you’d love to clean up in 2026?

When was the last time you tested your carbon monoxide detector?

You know you should. Once a year.

Get the stool, climb up, press the button, maybe swap a battery.
Doesn’t take long.
But most people forget. (Sometimes even if it’s doing that little beep every now and again). 

That’s what background ops work looks like.

We see it all the time:
- Slides that look good because someone reworked them at 11pm.
- Clean data because someone flagged the mess no one else noticed.
- Clients impressed because the ops team quietly fixed the chaos before the meeting.

It’s not flashy.
It’s not “strategic.”
But it’s work that fights fires. 

This year alone, our teams have:
👉 Rebuilt CRMs full of bad data no one had time to clean
👉 Rescued reporting pipelines that should’ve broken weeks earlier
👉 Flagged risks in decks that could’ve tanked client trust

None of these made the quarterly review.
No one gave out bonuses for “saved the partner from embarrassment.”
But it is the work that stops the house from burning down.🔥

If you’re leading ops, here are 5 things worth checking this week:
✅ Is your reporting backlog quietly building up? That’s a pressure valve waiting to blow.
✅ When was your CRM last properly cleaned? Dirty data slows everything down.
✅ Are late-night fire drills becoming routine? That’s operational debt, not hustle.
✅ Are tasks piling up with no clear owner? That’s where accountability erodes.
✅ And yes, check your carbon monoxide alarm. 🔋

Because like the carbon monoxide alarm, when background systems fail, it’s already too late.

Q4 doesn’t kill you with chaos.

It kills you with 2-hour delays, missed updates, and “just one more” review cycles.

By the time December hits, most teams are too busy doing to realise they’re leaking momentum.

And it’s not the big stuff.
It’s the quiet killers…

➡️ Work that’s almost finished.
➡️ Tasks with no clear owner.
➡️ Deadlines that silently shift.

We pulled together a detailed Q4 survival guide based on what we’ve seen inside dozens firms:

The workflow tweaks that stop slippage before it compounds.

✅ Where final mile work gets stuck
✅ How to triage your pipeline
✅ Why “invisible” work costs output
✅ What to fix before Dec 16 hits

No fluff. Just sharp, practical fixes.

If Q4 feels heavier than it should, this will help.
👉 Swipe through the carousel and steal what’s useful.
👇 Got your own Q4 ops trick? Drop it below. We’re collecting the best ones.

Q4's Quiet Killers

Physically, most people will be checking out of work for 2025 in 4 weeks.

Mentally, maybe before that 😜 ...

But the firms who’ll move fastest in Q1 are already thinking about 2026.

Over the next month, I’m going to share a few things that might help you get ahead, especially if you’re reviewing capability gaps, internal workflows, or where to invest in support.

Short, honest posts.
No strategy theatre.
Just practical observations and things we’ve seen work inside fast-moving firms this year.

Here’s the plan:
🧩 Week 1 - Deal Operations
CRM, pipeline tracking, reporting, and the invisible drag that kills velocity

📚 Week 2 - Research & Market Intelligence
How top firms build better lists, faster insight, and real leverage beyond databases

⚙️ Week 3 - Business Support Ops
From AI tooling to client comms and admin execution ie. the glue work that keeps ops running clean

🎁 Week 4 - Wrap-up
A short round-up and a note before we all (rightly) disappear for the holidays

If there’s anything specific you’d like me to cover drop a comment or message me directly.

Let’s make December a launch pad, not a write-off 🚀 .

Cosmo Tech | The Decision Twin Platform for Supply Chain, Finance & Asset Leaders at Fortune 500 Scale | Simulate Tomorrow. Decide Today.

Over the past 30 years, I’ve led sales teams at fast-growing Tech & SaaS companies — to rebuild and refine the strategies and systems so sales teams can scale and drive revenue growth.

In recent roles, I was able:

- double revenue while EBITDA grew 400%
- drive a +34% YoY revenue growth

Today I’m working with Cosmo Tech to help enterprises simulate the future for faster decisions, better systems, and maximum opportunity.

That means: 

- Quantum-level decision making
- Complex system resiliency
- Future-proof roadmap

“Steve is “Instant Offense” for sales. This is very rare and very valuable. He’s truly world class at quickly creating and running strategic, data-driven sales teams to drive growth. Great at strategy and wading into the minutiae to uncover and fix and optimize the team and process.

He’s a great leader with great judgment who makes it fun to work on the most difficult challenges. He and I have worked together on two companies that were great successes.”

— Jeff O'Mara, General Manager EKAHAU/ CEO, Healthentic.

Feel free to join my newsletter below — you’ll get all my best systems and strategies for scaling sales into the future. 

Join my newsletter at www.salesgss.com/newsletter

Trying to figure out where to start to double sales in 2025? Click on my "FREE Sales Accelerator Assessment" www.salesgss.com/assessment

Steve Litzow

A 17-year-old enterprise tech company went from $25M to $65M in revenue without changing their team, market, or product strategy.

Here's what actually drove the transformation:
Revenue: $25M → $65M (160% growth) 
Recurring Revenue: $5M → $30M (6× increase) 
EBITDA margins: 20% → 50% 
Product velocity: 1 release every 4 years → 4 per year

When I ask CEOs what they think enabled this kind of growth, they usually say: 
"Better talent? Bigger pipeline? New market positioning?"

None of the above.

It was implementing a High-Intensity Rhythm of Business (HI-ROB).

Here's what it looked like in practice:
Daily 15-minute standups focused on:
- Pipeline movement (what changed overnight)
- Yesterday's activity vs. plan
- Today's activity commitments
- What's closing today + backup options

Weekly cross-functional reviews where every team reports using the same metrics, same format, same cadence.

The insight most teams miss: Elite execution isn't about having better people. 

It's about building systems that surface problems in 24 hours instead of 30 days.

That time compression is what separates:
- Forecast accuracy from CFO discounts
- Pipeline visibility from month-end surprises
- Revenue growth from revenue hope

The companies scaling predictably right now aren't necessarily the ones with the best talent. 

They're the ones with the best operating systems. 

salesgss.com/newsletter

Your sales team has 200+ hours of PMF intelligence.
Your product team sees maybe 5% of it.

That gap is killing your velocity.

Sales hears every objection, every “not yet,” every competitive blindside.
Product never sees most of it.

That’s where PMF actually erodes — in the gap between Sales intelligence and Product velocity.

And the fix isn’t another roadmap meeting.

It’s a bi-weekly execution ritual:
Sales brings: Top 3 deal blockers
Product maps: Clear ship windows
CEO enforces: Ruthless scope discipline
15 minutes. Twice a month.

This loop eliminates the three silent killers:
- Roadmap drift
- Ship-date ambiguity
- Competitive feature surprises

One company I worked with went from 1 release every 4 years → 4 releases per year using this exact loop.

Result: 2× revenue and expansion from a niche tool to a mainstream IT platform.

The data backs it up:
Elite product teams ship with 76% success  --  Average teams sit at 51%

That 25-point gap compounds into years of competitive advantage (or decline).

With Q1 planning six weeks away, now is the moment to fix your Sales → Product loop before you lock next year’s roadmap.

Product-market fit isn’t a milestone — it’s a 90-day referendum.

Full framework + the Q1 implementation plan is in this week’s SalesGSS newsletter.
Link in comments. 👇

Couldn’t agree more with Phillip — the ability to anticipate, not just react, is what separates leaders today.

Simulation is already helping our customers cut decision cycles, reduce risk, and move with confidence.

CEO at Cosmo Tech I Global Business Leader I Chief Technology Officer

Enterprises today face a simple truth: disruption is no longer an occasional event, it’s a constant. Supply shocks, market volatility, and regulatory 

Open article: From Intelligent to Autonomous: How AI-Simulation Unlocks the Self-Learning Enterprise by Phillip Hazen • 2 min read

From Intelligent to Autonomous: How AI-Simulation Unlocks the Self-Learning Enterprise

The new advantage isn’t faster outreach — it’s faster proof.

✅ Days 0–7 (Sales): Define success metric + provision sandbox
✅ Days 8–21 (Product): Automate setup + guide onboarding
✅ Days 22–30 (CS): Deliver one-page ROI snapshot

Track what matters:
• TTFV (Time-to-First-Value) — leading indicator of conversion
• Activation → Expansion Ratio (≤60 days) — proof that value sticks

The teams that show ROI inside 30 days stay alive in deals CFOs can’t kill.

Read the full playbook → salesgss.com/newsletter

#SaaS #SalesStrategy #RevenueGrowth #SalesGSS

Great insight, Philipp.
Transforming Weibull and other reliability models into continuously learning systems through AI simulation is where asset management becomes truly prescriptive. It’s exciting to see this thinking gain momentum across the SAP ecosystem.

Yesterday I shared my first impressions on sessions about Predictive Maintenance, RCM, Asset Maintenance 5.0, and deep dives into data acquisition and diagnostic hardware at the Asset Performance conference. Today, I want to share one idea that really stuck with me—something that could be transformational if applied across the entire asset lifecycle:

Weibull distribution.
It’s a statistical tool that uses failure data from operations—data that’s often easy to get. It doesn’t need huge datasets, and because it’s based on probability distributions, it provides interpretable confidence intervals. That means maintenance experts can use it with confidence.
Of course, it comes with challenges: modeling expertise and thorough data cleansing are essential.

But the opportunities are huge. Startup Cosmo Tech showed a very innovative approach how operational data (e.g. failures, financials, risk) can be used to simulate different maintenance policies and predict their impact on CAPEX, OPEX, or any custom risk KPI you define is relevant for your business. This enables to test strategies before implementing them—using models they can actually understand.

My takeaway: Weibull distribution shouldn’t be a one-time tool for investment decisions. It should be part of a continuous loop:
- Define strategies based on simulations
- Implement and measure performance of such strategies
- Learn from cases where the policies been violates or fails, e.g. when using CBM or RUL predictions missed a failure beyond what is to be expected from a statistical model.

With continuous closed loops to monitor, improve, and optimize your maintenance strategies and operations, it would be possible to unleash the full power of Weibull distribution—or, as a matter of fact, any AI or model-based tool.

Thanks Olivier Blancke & Steven Coates for the insightful demo and nice discussion we had during the conference.

This is how leading utilities are using AI Simulation to prioritize investments, balance risk, and accelerate the energy transition.
Join Cosmo Tech and Groupe E on Dec 2 to see it in practice.

Join us for an insightful webinar with Cosmo Tech and Groupe E on December 2nd.

Ana Nazaré, Strategic Asset Manager at Groupe E, and Maxime Le Pendeven, Key Account Director at Cosmo Tech, will explore how Cosmo Tech AI Simulation empowers Groupe E to 𝘢𝘴𝘴𝘦𝘴𝘴 𝘢𝘯𝘥 𝘱𝘳𝘪𝘰𝘳𝘪𝘵𝘪𝘻𝘦 𝘵𝘩𝘰𝘶𝘴𝘢𝘯𝘥𝘴 𝘰𝘧 𝘳𝘦𝘪𝘯𝘧𝘰𝘳𝘤𝘦𝘮𝘦𝘯𝘵 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴, 𝘮𝘢𝘯𝘢𝘨𝘦 𝘶𝘯𝘤𝘦𝘳𝘵𝘢𝘪𝘯𝘵𝘺, 𝘶𝘯𝘤𝘰𝘷𝘦𝘳 𝘰𝘱𝘵𝘪𝘮𝘢𝘭 𝘵𝘳𝘢𝘥𝘦-𝘰𝘧𝘧𝘴 𝘢𝘯𝘥 𝘨𝘳𝘪𝘥 𝘧𝘭𝘦𝘹𝘪𝘣𝘪𝘭𝘪𝘵𝘺 𝘭𝘦𝘷𝘦𝘳𝘴 - 𝘢𝘭𝘭 𝘸𝘩𝘪𝘭𝘦 𝘢𝘭𝘪𝘨𝘯𝘪𝘯𝘨 𝘴𝘵𝘢𝘬𝘦𝘩𝘰𝘭𝘥𝘦𝘳𝘴 𝘢𝘳𝘰𝘶𝘯𝘥 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯𝘴.

Whether you’re managing renewable energy plants, large industrial fleets, or complex infrastructure, this session is for you.

👉 Register here: https://hubs.ly/Q03Rxpwj0

#ai #simulation #assetmanagement #aip #digitaltransformation #innovation #energy #utility

Buyers don’t wait 90 days for ROI anymore.

The window for proof has collapsed — from quarters to weeks.

▪ 78 % of B2B buyers now expect measurable ROI within six months (G2)
▪ Deal slippage nearly doubled year-over-year (Kluster)
▪ Interactive demos lift conversions ≈ 25 % (Navattic)

If your product still takes three months to prove value, you’re already behind competitors who do it in 14 days.

👉 Stop selling platforms. Start selling proof.

This week’s SalesGSS issue breaks down how to:
• Re-engineer your first-value moment
• Turn demos into ROI trials
• Track the 3 KPIs boards now watch

Read here → salesgss.com/newsletter

#B2BSales #SaaS #SalesLeadership #GrowthStrategy

Most B2B tech CEOs think they have a meeting problem.
But the data says something very different.

Only 37% of meetings have an agenda.
Executives say 67% of them fail.
Teams waste 392 hours a year sitting in them.

But here’s the truth:

Meetings aren’t the problem.
Visibility lag is.

If you’re still discovering slippage at the end of the month, you’re already 30 days behind the teams you’re competing with.

Across the $25M–$65M companies I’ve worked inside, the pattern is identical:

Elite teams surface deal risk in 24 hours.
Average teams: 7–14 days.
Struggling teams: after the month closes.

This one gap explains revenue misses more than pipeline size, talent, or marketing.

The companies that scale consistently run a tight Rhythm of Business (ROB):

Daily (15 minutes):
• Pipeline movement
• Yesterday’s activity
• Today’s targets
• Deals closing today
• Backup if #1 slips

Everyone stands.
Cameras on.
Pipeline open.

Weekly:
Every function reports progress on the same goals, using the same metrics, in the same format.

No silos.
No spin.
No surprises.

Slippage is a visibility problem — not a talent problem.
Fix the cadence → fix the outcome.

If you want more on operating cadence, forecasting accuracy, and mid-market sales strategy, subscribe to my weekly newsletter - salesgss.com/newsletter.

The earliest sign your deal is slipping?
A single stakeholder goes silent for 11–14 days.

Across the teams I’ve led and advised, this Silent Thread Indicator is the #1 early warning signal.

When even one stakeholder goes dark for 14 days:
• Decision momentum breaks
• Champion confidence drops
• Parallel blockers emerge
• CFO/IT lose context
• Legal quietly resets the evaluation

Probability of stall increases 6–8X —
even if your champion absolutely loves you.

This is why single-threading kills Q4 forecasts.
You don’t lose because someone said “no.”
You lose because someone stopped saying anything.

Monday rule:
Any deal with a silent thread = at-risk deal.
Don’t wait for the stage to slip.
Re-engage immediately.
––
Full breakdown (and the Q1 2026 multi-threading plan) is in the new SalesGSS Newsletter issue.

linkedin.com/company/getdatabees/

JSESSIONID

li_at

Your prospects aren’t waiting 379 days because your category is complex.
They’re waiting because they can’t see momentum.

In 2025, PMF isn’t something you “achieve.”
It’s something your market re-evaluates every 90 days.

When you go two quarters without visible product news, buyers assume:
“Are they still investing?”
“Are they falling behind competitors?”
“Will this product still matter in 12 months?”

One quiet quarter doesn’t kill deals.
Two quiet quarters trigger the PMF death spiral:
longer cycles → lower win rates → silent champions → stalled pipeline.

Quarterly updates aren’t nice-to-have.
They’re your only defense against ambiguity.

If your deal cycles are extending while your roadmap isn’t shipping visibly every 90 days, that’s not a market problem — it’s a product velocity problem.

If you want the full framework, my latest SalesGSS newsletter is live - www.salesgss.kit.com

Most stalled deals don’t die in competition.

They die in conference rooms you’ll never enter.

Here’s what’s happening across $5M–$50M SaaS teams:
• Buyers spend 83% of the journey without you
• Buying committees: 10–11 stakeholders
• Only 9% of deals are multi-threaded
• Champion turnover: 81%
• Champion leaves → 80% deal loss rate

This is the Single-Thread Death Spiral:
One relationship in a 10-person committee is a gamble — not a forecast.

The simplest diagnostic I know:
How many unique stakeholders are engaged right now in your top 10 opportunities?

Benchmarks:
• 1–2 threads: Critical risk
• 3–4 threads: Baseline safety
• 5+ threads: Elite execution (6X win rate)

Thread count is now a leading indicator — not a “nice to have.”
If half your late-stage pipeline has fewer than 3 threads…
your Q4 number isn’t slipping — it’s already gone.
––
Full breakdown is in today’s SalesGSS newsletter -  https://lnkd.in/gZJeATBP

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