6ixcore, under my leadership as Founder and CEO since March 2020, focuses on delivering innovative solutions that drive business growth and strategic transformation. With a deep commitment to entrepreneurial leadership and business innovation, we empower organizations to adapt and thrive in competitive markets. My role emphasizes fostering collaboration, enabling impactful strategies, and advancing the company’s mission toward sustainable success.

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Ben Zheng

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

VP of Sales | Fractional GTM Leader | Co-Founder, DigitalRegIntel | Creator of SalesGSS (B2B Sales Operating System)

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. 👇

53% → 43% in three years. And we’re calling 43% a “recovery.”

That’s not recovery.
That’s Stockholm syndrome.

RepVue’s Q3 2025 data shows 43.2% quota attainment across 249 companies and 49,000+ sellers.

The industry is celebrating.

Meanwhile, elite teams are hitting 65–70%.

What’s the difference?

They stopped setting quotas using 2021 math.

Because here’s what actually changed:

Win rates dropped 17% (23% → 19%)
Sales cycles extended across every ACV band
Inbound sentiment hit an all-time low (2.72)
Most companies raised quotas anyway

The math stopped working three years ago.

Most people still haven’t noticed.

Full breakdown is in today’s SalesGSS Index → link in comments.

Enterprise buyers will ask.
Most teams don’t know whether their processors, exchanges, or OTC partners ever touched Huione-linked flows.

This week’s signals:

🔴 1. Huione exposure is now a sanctions risk
If any part of your payment stack routes through Asia-based high-risk channels, you need documentation ready for diligence.

🔴 2. The EU’s 19th sanctions package targets Russian crypto directly
KYC must detect Russian-linked wallets, intermediaries, and layered flows. This is already in Big-4 diligence templates.

🟡 3. DAC8/CARF go live Jan 1, 2026
If you serve EU customers, you need new data fields, identifiers, and reporting workflows in place before Q1.

Regulations aren’t theoretical anymore — they’re affecting deals, fundraising, and cross-border expansion in real time.

👉 Full DigitalRegIntel Brief linked in the first comment.

The FREE 60-Second Compliance Scorecard is inside — check your exposure before your next diligence call.

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.

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.

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.

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

Quota attainment didn’t collapse because reps got worse.
It collapsed because the operating model never recalibrated.

Win rates dropped.
Inbound dried up.
Cycles stretched.
Security + compliance reviews became mandatory checkpoints.

But quotas kept rising like it was still 2021.

Teams hitting 65–70% aren’t “lucky.”
They rebuilt around real inputs — actual cycle lengths, stage-by-stage conversion, and the true capacity of the team in today’s environment.

It’s not complicated.
It’s just rare.

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Steve Litzow

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