Dale Zwizinski

🤝 Chief GTM Officer | YOUR GTM Special Ops Team | Founder enabled GTM Strategy -> Data vs. Gut | Give > Receive | Recovering Coder | Extending Runways for Founders | Must haves 💪 Grind 🧠 Integrity 🎯 Coachability

An energetic, top performing sales professional, leader, and coach who is passionate about the Cloud based technologies.  More than 20 yrs experience with enterprise sales and known for my ability to grow and enhance businesses.   Working with innovative technologies and platforms to make customer successful wakes me up in the morning!
 
A self-starter who is happiest when helping customers enhance their business with innovative technologies.  It is important to stay ahead of trends and looking for ways to help a customer grow their business and improve their products/services.  The sales environment has changed dramatically over the last 5 years, the next 5 years will be a monumental shift --> Sales, Marketing and Service are on a collision course.

The pursuit of sales and maintaining customer satisfaction has taken me around the globe.  Establishing contacts and a track record of success in the financial service market throughout China, Asia, Mexico, and the United Kingdom, just to name a few.  Every sales person should be well versed in cultural differences and knows that paying attention to such details can make or break a sale.

SALES is changing and utilizing every available channel is important - if you are reading this you know what I am talking about!  To understand more about the sales evolution come read and listen to content here: www.thesaleschangeagent.com
 
Entrepreneurship and education is a deeply ingrained with a MBA from the Olin Graduate School of Business at Babson College.  and an undergraduate degree (with a double major in Management and Finance) at Merrimack College. Living in Lakewood Ranch, Florida (outside of Tampa), with my wife and 2 children.   For fun I enjoy traveling with his family, play/coach soccer, workout, ski, and golf.

Dale Zwizinski
Mobile: 401.952.9231
Email: dzwizinski@gmail.com

Strategic Sales Advisor

Collaborating with the CEO on all thing revenue, including:
✅ Go to Market
✅ Aligning to the Buyers Journey
✅ Pricing Strategies
✅ Sales Pipeline Growth

Our mission is to empower Customer Success teams to build great relationships with their customers.

We work with early and growth stage B2B SaaS companies to help them scale Customer Success outcomes.  Everything we do is devoted to removing the overwhelm of back-to-back customer meetings so that CSMs can focus on the bigger picture: building relationships.

UpdateAI is the first meeting assistant built specifically for CS.

I partnered with Revenue Creator to bring a 5-part series to the community on one topic:

AI in Go-To-Market is no longer optional.

This is not theory. It is not hype. It is not experimentation.

The market is already splitting between companies building AI into their GTM strategy and those who are quietly falling behind.

Early data shows:
• 26 to 50 percent higher win rates
• Up to 78 percent higher conversion rates
• 62 percent shorter sales cycles

But those are just early signals.

The real disruption is this: revenue is being decoupled from headcount.

Look at Midjourney. Millions of users. Eleven employees.
That is not an anomaly. It is leverage redefined.

Over this 5-part series, we break down:

1️⃣ Why AI-native GTM is a strategic imperative
2️⃣ The 4-stage maturity model from automation to autonomy
3️⃣ The ROI progression from tactical gains to exponential returns
4️⃣ The C-suite mandate and the leadership actions required
5️⃣ The assessment and governance framework that makes it sustainable

Here is the hard truth:
73 percent of companies are still stuck at basic task automation.
82 percent of AI initiatives fail because of leadership, not technology.

The roadmap is clear.
The returns are real.
The leadership moment is now.

Your board is not asking whether AI will transform your market.
They are asking whether you will lead that transformation.

Read the full series and decide where you stand.

Your next 90 days will define the next decade.

I partnered with Revenue Creator to bring this 5-part series to the community. Part 1: The Strategic Imperative: Why This Is No Longer Optional Let's 

Open article: Your 5-Part Strategic Roadmap to AI-Native Transformation by Dale Zwizinski • 4 min read

Your 5-Part Strategic Roadmap to AI-Native Transformation

73% of AI startups are stuck automating emails.

Meanwhile, their competitors are building Autonomous GTM Engines.

The trap? 

Founders skip GTM Foundations and jump straight to "scale."

Here is what the 4 stages actually look like:

Stage 1: Task automation (emails, summaries)
Stage 2: Process augmentation (CRM updates, reporting)
Stage 3: System orchestration (connecting data silos, proactive alerts)
Stage 4: AI as a teammate closing complex workflows

Most never escape 

Stage 1. Not because the tech is not ready. Because leadership is not ready.

What is your:
1. Value Proposition 
2. Ideal Customer Profile
3. Buying Persona

Where is your team right now?

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AI isn’t magic. It’s infrastructure.

But too many companies are treating it like magic anyway.

They’re piling on tools. 
Automating fragments. 
Naming “Heads of AI” without ever asking: Are we actually ready to transform?

Leaders want outcomes from AI, but skip the foundation it depends on:

🧭 Strategy
Do you have a clear roadmap tied to outcomes; or are you experimenting without direction?

📊 Data + System Integration
Is your GTM data clean and unified; or is each department running its own playbook?

🧠 Talent + Culture
Have you built AI literacy across the org; or is your team quietly resisting new workflows?

🛡️ Governance
Are you tracking performance, bias, and compliance; or hoping those problems don’t show up?

🚧 Companies stumble when they skip this maturity assessment.
🏗️ Companies scale when they build it in.

If you’re not getting ROI from AI, it’s not your model.

It’s the system you’re putting it into.

📈 The path to AI-native GTM starts with clear diagnostics, real alignment, and foundational execution.

Your Current Position: The Maturity Assessment Before investing in transformation, you need an honest assessment of your current capabilities across f

Open article: The Blind Spot That's Sabotaging Your AI Transformation by Dale Zwizinski • 3 min read

The Blind Spot That's Sabotaging Your AI Transformation

Stop blaming your sales team for a "growth problem" when you actually have a fragmented systems problem.

I see it every single week. Leadership teams get in a room, draw up a beautiful strategy, pat themselves on the back, and then hand it off to a team that is fundamentally misaligned at the ground level.

On the latest episode of Bridge the Gap, Nicole Brownell  (Managing Director at Novo Advisors) joined Adam and me to pull back the curtain on why execution fails even the best strategies.

Here is the cold, hard truth:
Alignment isn’t a feeling. It’s a shared scorecard.

Nicole dropped some serious gems that every C-suite leader and RevOps pro needs to hear:

1. Revenue isn't just a Sales KPI.

If you are only holding Sales accountable for revenue while Marketing is chasing "brand awareness" and "MQLs," you’ve already lost. If the departments aren't speaking the same language or sharing the same metrics (like OKRs that roll up to a single goal), you don't have a team—you have silos.

2. The Product/Sales Gap is killing your retention.

This one hit home. Nicole pointed out that sales teams often sell a version of the product that doesn't actually exist in reality. When the "value delivered" doesn't match the "value promised," you don't have a sales problem—you have a retention crisis waiting to happen 30 days after the contract is signed.

3. RevOps is your Playbook.

Strategy is the "where" and "how" of winning. RevOps is the actual playbook that dictates how you play the game. Without RevOps holding the line, your systems stay fragmented, your data stays dirty, and your execution stays sloppy.

We spend so much time talking about strategy because it’s the "fun" part. Execution is the hard part. It’s the daily grind of making sure the front-line narrative matches the back-end delivery.

If your GTM motion feels like it’s grinding gears, stop looking for more leads. Start looking at your alignment.

Are your teams actually aiming at the same target, or are they just sitting in the same meetings?

Check out the full episode for more on how to bridge this gap.

https://lnkd.in/eZ-8EADf

Most teams do not have a strategy problem.

They have a handoff problem.

This week I watched a solid plan lose 10 days in execution.

Not because people were lazy.

Because ownership got fuzzy after kickoff.

Here is the operator fix:

The 3 line handoff

1) Owner: one name, not a team
2) Outcome: what done looks like in plain English
3) Clock: next checkpoint date, on calendar before the meeting ends

That is it.

If you cannot write those 3 lines, the project is not ready.

Actionable takeaway:
Before your next launch, run every workstream through the 3 line handoff.

You will spot drift before it becomes delay.

What is your most common handoff failure right now?

Most founders hire their first sales leader too late.

Then they hire the wrong one.

Here is what actually happens:

You scale to $1M ARR on founder-led sales. 
You think you need a VP of Sales to take it from there.

So you hire someone who has scaled from $10M to $50M. 

They walk in expecting a repeatable process, a trained team, and clean data.

They find none of that.

Within 90 days they are frustrated. 

Within 6 months they are gone. And you are back to square one, except now you are $300K lighter and 6 months behind.

The hire was not wrong. The timing was.

Your first sales leader should be a builder, not a scaler. 

Someone who can create the process from scratch, not someone who needs one handed to them.

Conversely you can also look at Operating Partners to ensure that you  have everything stabilized and foundation built before bringing a VPS sales hire, and ensure that they have all of the right things in place for success.

Get the stage right before you get the person.

Personalization Beats Automation

Buyers don’t need more email; they need relevance.

High-performing GTM teams are using intent data, deal stage, and buyer behavior to create true personalization at scale.

Most companies think they're doing AI because they have a chatbot. 

That's Stage 1 maturity
-> Task automation. It's the equivalent of a faster typewriter.

The real competitive advantage is the jump from Stage 2 to Stage 3. 
-> System Orchestration.

Stage 2 is process augmentation. 
-> You've added AI to existing workflows. It's better, but it's still siloed.

Stage 3 is where the magic happens. 
-> This is where AI isn't just a tool in the workflow. It is the workflow. 

Data flows from marketing to sales to customer success without human intervention. 

The system identifies a lead, qualifies it based on real-time intent data, assigns it to the right rep, and drafts the personalized outreach.

If your team is still manually moving data between tools, you're stuck in the past. 

Stage 3 isn't about working harder. 
It's about building a system that works for you. 

The jump to Stage 3 is where the 7x conversion rates live. 

Stop automating tasks. 
Start orchestrating systems.

Everyone needs a board or advisors to help you, try this:

"You are building a high-fidelity AI advisor for Dale Zwizinski’s Personal Board of Directors. This advisor must operate as a Chief of Staff-level strategist, not a generic assistant and a team of advisors.

Use the following structure to define their core logic. 

Do not write a 'personality description.' Write a 'Reasoning Engine.'"

────────────────────

1. The Core Identity
[ADVISOR NAME] – [ROLE, e.g., Chief Revenue Officer]
Lane of Genius: [One paragraph. What is the specific territory this person owns? What problems do they see that others miss?]

2. Core Frameworks & Mental Models
List 5–8 named frameworks this person uses to process reality. These are the "rules of the game" for this advisor.
• [Framework 1]: [Brief description of how it works]
• [Framework 2]: [Brief description of how it works]
• [Framework 3]: [Brief description of how it works]

3. Non-Negotiables (The "Edge")
What are the hard constraints this advisor would never compromise on? What makes them push back? This section prevents the AI from becoming "too nice."
• Constraint 1: [e.g., Never accepts incremental 5% growth; only 10x shifts.]
• Constraint 2: [e.g., Allergic to 'consulting-speak'; demands direct, plain English.]

4. The Decision Filter
When Dale presents a problem, what is the exact sequence this advisor uses to analyze it?
1. Filter 1: [What is the first question they ask?]
2. Filter 2: [What framework do they apply next?]
3. Filter 3: [What is their final stress test?]

5. Voice & Delivery
Describe the tone and format. 
• Constraint: No fluff, no "I hope this helps," no summaries. Direct insights only.
• Style: [e.g., Blunt, visionary, sardonic, or data-driven.]

This is a start to how your can incease your effectiveness and efficiencies!

The C-Suite Mistake that Kills 82% of AI Initiatives

The C-Suite Mandate - Four Leadership Actions That Determine AI Success The ROI potential we outlined last week, from tactical gains to exponential re

Open article: The C-Suite Mistake that Kills 82% of AI Initiatives (before they start) by Dale Zwizinski • 3 min read

The C-Suite Mistake that Kills 82% of AI Initiatives (before they start)

Let’s Build Your 2026 GTM Engine

AI is changing how GTM is executed.
But without a system and strategy;it’s just noise.

At Revenue Reimagined, we help CEOs and revenue leaders:
✅ Diagnose their GTM gap
✅ Design a hybrid GTM model
✅ Deploy AI + human workflows that scale

We don’t do playbooks. 
We build operating systems.

📥 Want a GTM Foundations Report?
Get yours here:

Open article: Bridge Your GTM Gap™: Diagnose & Redefine Your Go-to-Market Strategy | Revenue Reimagined by revenue-reimagined.com

Bridge Your GTM Gap™: Diagnose & Redefine Your Go-to-Market Strategy | Revenue Reimagined

My research into 2026 GTM trends shows three massive, concrete shifts that revenue leaders are failing to navigate.

Here is the first one!

The Agentic Chasm
You don't have a talent problem. 
You have an orchestration problem.

Most revenue leaders think "AI Maturity" means giving their sales team a better prospecting tool. 

That's Stage 1 thinking, it just helps you fail faster.

The real gap in 2026 is the Agentic Chasm.
It’s when you hire AI agents to do the work, but your GTM process is still built for humans from 2019.

If your AI agent is just "automating the spam," you’re destroying your brand at scale.

The shift isn't from human to AI. 

It’s from Task Execution to System Orchestration.

Stop hiring tools. Start building the engine.

The "SaaSpocalypse" is the trending topic for a reason.

Marc Benioff and the Databricks CEO are both signaling the same thing: The old SaaS model of "seats and screens" is under massive pressure.

Why? 
Because AI agents don't need a UI. 
They need an API.

If your GTM strategy is still based on selling "more seats," you are fighting a losing battle against efficiency.

The new GTM foundation:
1. Outcomes over activities.
2. Systems over seats.
3. Autonomous engines over manual workflows.

The GTM Gap is no longer just about sales and marketing alignment. It is about the gap between your legacy software and the autonomous future.

We are moving from a world of "software you use" to "software that does the work for you."

If you are a founder or revenue leader, your job is no longer to manage people using tools. It is to orchestrate systems that deliver results.

The SaaSpocalypse isn't an ending. 

It is the beginning of the Autonomous GTM Engine.

**The Pivot Point.**

Most people think a breakthrough is a loud, celebratory moment.

It isn't.

It's usually a quiet, terrifying realization in the middle of the night that everything you've been building... might be pointing in the wrong direction.

That's the pivot point.

Not the press release. 
Not the rebrand. 
Not the announcement post.

The pivot point is the moment *before* all of that, when you're alone with the truth, and you have to decide what to do with it.

We aren't selling a podcast. 
We're selling a transformation.

And transformation always starts in the dark, before anyone else sees it coming.

AI is the Infrastructure

AI isn’t the feature anymore.
It’s the foundation.

It powers pipeline scoring, rep coaching, follow-ups, and customer touchpoints.

But it only works if your GTM system is clear and human-first.

Design GTM workflows where AI sits in the right layers:
→ Automation for speed
→ Human judgment for trust

AI doesn’t replace strategy. It enforces it.

Signal Quality > Volume

Not all intent signals are equal.
In 2026, volume isn’t the bottleneck,precision is.

Leaders are moving past noisy leads and fake MQLs.

They’re designing systems that surface decision-stage behavior earlier.

At Revenue Reimagined, we map the real buying signals:
→ Who’s reading docs?
Who’s sharing with legal? 
Who revisits pricing?

And we build ops workflows that act on them; fast.

Technical debt kills your product. Revenue debt kills your company.

Most founders are unknowingly accumulating massive revenue debt. It happens when you scale sales before you've stabilized the GTM Gap.

You hire three reps because you have a little traction. 
You haven't defined the ICP beyond "anyone with a budget." 
You haven't nailed the value prop. You just want volume.

Now you have:
1. Inconsistent messaging that confuses the market.
2. High churn because you closed the wrong customers.
3. A sales team that's guessing instead of executing.

This is revenue debt. 

And like technical debt, the interest rate is compounding. 

You can't hire your way out of it. 

You have to go back and fix the foundation. 

Stabilize. Foundation. Repeatability. Scalability. 

Don't skip the sequence. 

The debt will always come due.

80% of your buyer's journey is happening while you're asleep.
And they aren't filling out your forms.

The "MQL" is dead.

In 2026, if you're waiting for a "lead" to hit your CRM, you've already lost the deal to someone who was orchestrating the account months ago.

GTM leaders are still obsessed with activity metrics.
- How many calls?
- How many emails?
- How many LinkedIn touches?

The market doesn't care about your activity. It cares about its own problems.
The winners in this cycle aren't the ones with the loudest outbound.
They are the ones with the most intelligent Intent Orchestration.

Move your focus from "The Lead" to "The Signal."

That's how you close the GTM Gap.

Justin Ratcliff

I have wide-ranging experience but specialize in outbound marketing, go-to-market strategy, and the craft of cold outreach. 

I have hands-on involvement in scaling a startup, working my way through the SDR, Team Leader, Team Manager, and Director roles in a remotely working team that grew from 10 to 150 over the course of 2 years. I have authored extensive scalable standard operating procedures, ran ample sales development training, conducted 100+ SDR/TL/TM interviews, and am a constant student of the craft. I am confident in leadership roles and strive to be an example for others in everything that I do. My goal is to make the day better for those around me. I enjoy the act of public speaking and consider myself an excellent communicator. I have deep experience collaborating in a workspace at global scale and welcome learning from others in all forms. 

While earning my degree, I became adept in behavioral learning and have an understanding of the processes that play a part in individual decision making. Comprehending the patterns that make up human behavior is ever-growing in importance, and when paired with the technologies at our disposal today, can be the difference in a successful vs. failed experience for a client or employee. I use the lessons that I learned through my time working in the mental health field on a daily basis, and it has made me a better business professional as a result.

Member

The RevGenius community is a great global network of business professionals. As a member, you gain access to job postings, job search resources, sales threads, marketing threads, tools/software threads, event postings, and more. Join (it's free) and introduce yourself! https://vrlps.co/vhw5mr0/cp

I tried the new Apollo x Claude connection, so you didn't have to...but now, you should. 

It's not about replacing people; it's about collapsing 30 mins into 1 min so you can test multiple campaign angles instead of one. 

A half hour of research happened in one conversation. I gave Claude a broad ICP/problem/solution and asked it to find & add contacts to an Apollo sequence. 

Instead of blindly searching, it:

- Identified that the search was too wide-ranging. 
- Searched the web for recent industry data, news, blog posts, & announcements to build context. 
- Matched my insights with vague input. 
- Identified angles I hadn't considered during brainstorming.
- Presented 10 perfect-fit companies with reasoning for each.
- Found decision-makers in Apollo & placed them in a sequence there. 
- Offered email copy addressing pain points. 
- Gave me a manual workflow for what it couldn't automate.

I can also also update//enrich contact data in Apollo directly from Claude chat. 

The bottleneck isn't building lists anymore. Launching three, four, or more campaign ideas in the time it used to take to build one is the reality. 

This is real pipeline alchemy.   

It's going to make the people who adopt it significantly more effective in their roles.

Here's a list of what Claude can currently do within Apollo. 👇

Founding GTM Leader | Built SDR Team 20→150 | Startup Revenue Builder | Enterprise Outbound Specialist

Who has an opinion on GPT v Claude?

I've mixed Anthropic's model into my workflow this week & am, for now, loosely planted in GPT. 

I prefer the way information is presented when the query has layers. It does feel like Claude better understands a complex Socratic prompt, but when I deep dive, I'll copy the text into a doc for reading. Here is where GPT wins: 

It feels less human. (Hot take around these parts? 😅 )

Claude condenses information like someone who understands the subject, giving deeper context on themes & relevant (but not particularly necessary) data points. GPT spells it out like you're reading the manual for your favorite childhood video game (I was a big Age of Empires guy 🤷‍♂️ ). 

Though identical prompts would render the same critical data, a GPT response could be 6 pages in docs to Claude's 3, for example. It's due to the broader formatting & simpler surface concepts, but I find it faster to skim. 

Will I be keeping Claude in the mix? Absolutely. This is just one task.

NotebookLM is the go-to for analyzing Google files. It's great at what it does; don't waste GPT or Claude credits there. (I assume the same for Copilot.)

GTM & Sales Leaders...don't ignore Claude Code. It's already good enough to clean up messy processes & fill in workflow gaps. I'm seeing some wild use cases. 

How are you using them? Which one is better?

Any other iPhone users having trouble with their keyboard autocorrect lately? Someone found the (at least temporary) fix! 

Apple changed their prediction model to guess what you're typing, and if it learned errors in the past, it'll keep repeating them. Old typing patterns interfere with the new logic. 

Resetting the "Keyboard Dictionary" has restored efficiency to my typing (and a little sanity, too). 

This worked for me: Settings -> General -> Tap "Reset" -> A menu will open, select "Reset Keyboard Dictionary" -> Enter Passcode 

No other data is deleted. 

Hope this helps! 📱

Gen AI will send you buyers (if it sees you). Here's how I run a GEO test:

1) To start, prep ~10 queries that customers may ask that would lead to your product. The 4 categories of questions I keep in mind are "discovery", "comparison", "use case", & "intent". 

->Discovery questions are broad but direct. 
- What are the best dialers for sales teams?
- What tools help SDRs make more calls per day?

->Comparison questions are concise & place you against the competition. 
- Compare the top AI dialers for outbound sales in 2026.
- What's the best alternative to [comp 1] or [comp 2]?

->Use case questions are specific & describe task completion.
- How can AI help my sales team 10x their cold call volume?
- What software handles voicemail detection & parallel dialing automatically?

->Intent questions signal buying motivation. 
- I need a dialer that integrates with Apollo & Salesloft; what should I use?
- I need an AI dialer with CRM integrations for outbound sales teams.

Start small but build out & tweak as you go. Each model has their own tendencies to account for...

2) Consider all major outlets in which your buyers may operate. You'll get different results for each generative program & can adjust your site strategy accordingly. 

->The 5 I test:
-Claude
-ChatGPT
-Perplexity
-Gemini
-Copilot

3) Run the queries through each chat program & notate results. We're tracking general mentions, prominent mentions, & missing mentions. 

->Weighted as follows:
-Prominent = 2
-Mentioned = 1
-Missing = 0

->Run the following formula:
-GEO Score = (mentions×1 + prominent×2) / (2 × total queries) × 100

Example: (4 Mentionedx1 + 2 Prominentx2) / (2 x 8 Queries) = 50

->Aim for 60+

4) Assess results & revisit strategy. Research how to make your site more accessible to Gen AI crawling & implement the changes. 

5) Automate it. Claude will write JSX code for a personal GEO tool that you can (super politely) ask (or beg) your dev team to set up. 

You'll need some lift from them to connect backend APIs & for securely deploying the tool on something like Vercel, Netlify, AWS, etc. 

But...this is a high-ROI request. This is one way to stay data-driven in '26.

Check the comments for the prompt I used to build my first GEO tracker. 👇

You have a successful SEO strategy, so you're visible in AI-generated search results, right?

Not necessarily. 

Generative Engine Optimization is now part of the lexicon & can't be ignored. I've been taking meetings with prospects sent from the top generative platforms for at least a year now. 

This isn't an SEO vs GEO debate. Continue to be thoughtful w/ keyword selection, earn your backlinks from other domains, & ensure website performance is at its peak. SEO is your foundation. 

But, GEO? New game. 

The goal is to have your content cited in AI search results in as many scenarios as possible. This is not isolated to questions that mirror traditional direct searches. 

Let's take a prompt like "What are the top parallel dialing platforms on the market?"...If I make this list, is my work done? Not quite. 

Dig deeper. If someone prompts, "What is the most effective way to clean bad phone numbers out of a large list of prospects?" or "How can I talk to more people when doing sales outreach?"...will you be seen as an authority there?

Consider what remains unchanged: User intent for a solution. Quality content is needed on your site. Your site structure matters. 

Now, what's different: Your prospect's search engine is no longer limited to crawling; it can "think". The questions they ask aren't as direct. The way content is parsed evolved. 

With this in mind, does your site help a generative search find answers to deeper questions like those noted above? The substance (& structure!) of your data carries weight. Think outside the box to explain the problems you solve, build knowledge around it, & be direct in your responses. 

You'll have the "bots" on your side soon enough. 🤖

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