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.

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?

undefined undefined

the-sales-change-agent

revenue-in-a-box

Managing Partner | GTM Operating Partner to CEOs | Developed The GTM Gap™ Framework | AI-Executive Whisperer | Revenue Leader | GTM Strategy - Data vs. Gut | AI Enabled GTM | Recovering Coder | Extending Runways

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.

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!

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.

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.

Scaling GTM Ops for B2B SaaS Startups ⚙️🛠️

As a Marketing and Revenue Operations Consultant with over 10+ years of experience, I help the top startups & Fortune 500 Companies grow their revenue through operational excellence 🚀💸

My Background & Experience: 
★ Scaled operations at 10+ Companies that were growing at 100% Year over Year 📈
★ Over 30+ certifications in Marketing & Revenue Sales Technology 🏆
★ Launched 10+ PLG & Freemium Efforts 🚀
★ Scaled 100+ Salesforce Instances 🛠️ ☁️
★ Scaled 100+ Hubspot Instances ⚙️
★ Optimized 75+ Marketing & Revenue Analytics & Attribution Tools 🛠️
★ Managed Millions of Dollars in MarTech Spend
★ Sales/Marketer Turned Ops Engineer  💸

My Portfolio: 
★Samsung / Samsung NEXT
★Connectwise
★AT&T
★WPP
★Madkudu
★15Five
★Lever
★Aerolase
★Madison Square Garden
★ControlCase
★Auvik
★Ramp
★Productiv
★John Varvatos
★ and many more.....

My Beliefs: 
★Ops Teams need more bandwidth via On-Demand Technical Talent #ExtraBandwidth
★Business Teams need solutions that make technical things easy
★Repeatable & Scalable Lead Generation is achievable
★Marketing & Revenue Operations can be strategic but requires a holistic approach to the business 
★Work can be and should be Fun! 

Outside of work, I am: 
★ Most importantly, a Family Man 👨‍👩‍👦
★ Diehard Knicks & Giants fan🏀🏈
★ Foodie 🍕🍔
★ Lover of nature 🌴
★ Sneakerhead 👟
★ Health Fanatic 💪🏽
★ Real Estate Investor 🏡

For more information on how my expertise can help your company grow, please visit www.JayOh.io.

Joe LaGrutta, MBA

Many marketing teams do not have a real funnel strategy.

Most teams create content.
Run campaigns.
Drive traffic.
Score engagement.

But there is no intentional progression.

No structured path from:
-Problem unaware
-Problem aware
-Solution exploring
-Vendor comparing
-Ready to buy

If you do not design content and programs tied to specific funnel stages, you are not moving buyers.

You are collecting activity.

Full funnel means:
-Top of funnel content that reframes the problem.
-Mid funnel programs that deepen urgency and qualify fit.
-Bottom funnel assets that reduce risk and accelerate decision.

And those pieces should be sequenced.
Retargeted.
Scored differently.
Measured differently.
Owned differently.

If your blog, webinars, paid ads, nurture streams and SDR outreach are not mapped to buying stage, you are just spraying content into the void.

Then sales sits there saying the leads are cold.

Of course they are.

You never intentionally moved them.

Hope is not a funnel strategy.

Design is.

Fractional RevOps & GTM Teams (and Memes) ⚙️🛠️

MQL handoffs should not feel like a liability transfer.
Yet in most orgs, they do.

Marketing optimizes for lead volume.
Sales optimizes for revenue.

The definition sits in the middle, fuzzy.

If your MQL is based on surface level activity, you are not qualifying intent.
You are logging engagement.

Real alignment happens when:
-ICP is enforced in scoring
-Behavioral signals are weighted by buying stage
-Disqualifiers are codified
-Sales feedback loops into scoring
-SLA follow up is tracked and audited
-Recycle logic is intentional, not manual

An MQL should represent:

Fit + Context + Behavior + Timing.

Not just clicks.

If marketing and sales argue about lead quality, the issue is rarely effort.
It is math.

Loose definitions create political tension.

Tight definitions create velocity.

If your MQL to SQL conversion is under pressure, do not blame effort.

Refine the model.

Received Dean's List Standing in Spring 2012, Fall 2012, and Spring 2013 for completing 15 credit hours with a GPA of 3.3 or above. 

Dean's List Standing

Hubspot Marketing Software

Salesforce Admin

HubSpot Sales Software

Marketo Certified

Salesforce Certified Platform Developer I

Google Analytics Certified

Growth Strategist

Pardot Certified

Segment Advisor

Advanced Lead Generation

Data Science Foundations: Data Engineering

Introduction to Attribution and Mix Modeling

Lifecycle Marketing Foundations

Programming Foundations: Fundamentals

Salesforce: Custom Reports

Database Marketing Foundations

LinkedIn Sponsored InMail

Leading without Formal Authority

Acxiom Digital University certification

SQL: Data Reporting and Analysis

Advertising and Promotion

Business Change Management

Business Computers and Info. Systems

Business International Cultural Environments

Business Law- Legal and Regulatory Environment

Business Organization Management

Business Research & Analytics

Competitive Business Strategy

Consumer Behavior

Corporate Finance

Customer Inteligence

Data Analysis & Decision Modeling

Data Analysis for Decision Making

Digital Marketing

Electronic Marketing

Financial Management

Gateway to Business

Human Resource Management

Interactive and Direct Marketing

International Business

Sigma Alpha Epsilon (National Fraternity)

“Best Research Award” in National Marketing ECHO EDGE Challenge for the development of a Digital/Mobile & Social Media Marketing Campaign

ECHO Collegiate Marketing

Fractional GTM & Marketing Teams & Memes ⚙️🛠️

By using insights in your demand gen efforts, you can personalize your leads' experience, set the right expectations, & make it easy on your sales team to close the deal. #b2bmarketing #marketingautomation #marketingtechnology #marketingoperations #marketingops #conversionrateoptimization #personalization

B2B Marketing Automation

Alexis Westergren

If your CRM only works when reps manually update everything…
you didn’t build a system.

You built homework.

This is something I see a lot when talking with CRM admins and RevOps teams.

The system is perfectly structured.
The fields are all there.
The process is documented.

But sales hates using it.

Why?

Because reps aren’t system admins.

They’re sellers.

And the real job of RevOps isn’t to force compliance with the system.

It’s to design the system so sellers barely have to think about it.

Across a lot of the work we see at , the highest-performing GTM systems follow one rule:

Make the right behavior the easiest behavior.

That means things like:

• Automating lifecycle updates
• Auto-logging activities wherever possible
• Minimizing required fields
• Pre-filling data from enrichment or integrations

Every extra field you require is friction.

Every manual update steals time from selling.

The best CRM setups don’t ask reps to maintain the system.

They quietly maintain the system for them.

Because if your sellers spend more time updating CRM than talking to customers…

The system isn’t enabling revenue.

It’s slowing it down.

Good RevOps removes friction.

Great RevOps makes the system feel almost invisible.

Every company says they need “strategic thinkers.”

But when budgets tighten… they fire Dave.

Dave ships.
Dave fixes.
Dave builds.
Dave closes the loop.
Dave figures it out without a 12-slide alignment deck.

Here’s the uncomfortable pattern I see in B2B SaaS:

Headcount grows.
Titles multiply.
Documentation increases.
Alignment meetings expand.

Revenue does not.

There is a difference between:

Strategic clarity
And intellectual theater

Between:
Real operating leverage
And people who just narrate what should happen

Early stage companies win with doers.

Growth stage companies stall when talkers outnumber builders.

Late stage companies drown in governance.

If your org chart has more people reviewing work than producing it, you have a velocity problem.

Operators create cash flow.
Observers create commentary.

When I evaluate a GTM org I ask one simple question:

Who actually moves revenue forward without needing a committee?

Protect those people.

Hire more of them.

And stop firing Dave.

Incognito testing is not paranoia.

It’s respecting the fact that attribution, routing, and scoring are fragile systems.

If your pipeline depends on forms, your forms deserve production-level QA.

Most teams ship them like landing page copy.

Different game.

Test like revenue depends on it.

Because it does.

AI will agree with you all day.
That is the default setting.

It is optimized to be helpful.

Helpful often sounds like agreeable.
Agreeable feels like validation.
Validation feels like intelligence.
Dangerous combo.

If your prompts are vague, your thinking is lazy, or your assumptions are wrong, AI will still nod and say you are absolutely right.

That does not make you a super user.
That makes you amplified.

The difference between average users and killers with AI is control.

Super users:
-Frame the context precisely
-Define constraints
-Ask for opposing views
-Force tradeoff analysis
-Challenge outputs
-Iterate on structure
-Pressure test logic
-Ask what they are missing

They do not ask AI to confirm their opinion.
They use it to stress test their thinking.

If your AI never disagrees with you, that is not a flex.
That is a mirror.
And mirrors do not make you smarter.

They just reflect what you already believe.

The skill is not using AI.
The skill is steering it.

Control the inputs.
Challenge the outputs.
Exploit the iteration loop.

That is where the edge is.

High growth covers a lot of sins.
Until it doesn’t.

When the market is hot, you can outrun:
-A leaky funnel
-High CAC
-Weak qualification
-Forecasting based on vibes
-No attribution discipline
-Random GTM experiments

Revenue growth hides operational fragility.

Then a PE firm shows up.

And suddenly the questions change:
-Why is CAC creeping?
-Why is conversion inconsistent by segment?
-Why does forecast miss every quarter?
-Why are top reps carrying the whole number?
-Why does pipeline not translate to bookings?
-Why does marketing not tie cleanly to revenue?

Growth excuses inefficiency.
Private equity exposes it.

The companies that look good post acquisition are not the ones that grew the fastest.

They are the ones that built:
-Stage discipline
-Clear ownership
-Clean data models
-Real attribution
-Repeatable sales motions
-Forecast accuracy within a tight band

If your growth depends on chaos, you are not scaling.

You are just riding momentum.

Momentum fades.

Systems compound.

“$2.5M in Stage 1.”
Translation: we have hope.

Zero deal stage rules is how pipelines turn into fiction.

I see this constantly:
-No exit criteria.
-No required fields.
-No MEDDICC enforcement.
-No defined qualification standard.
-No aging limits.
-No auto-close logic.
-No probability governance.

But somehow… massive early stage pipeline.

If everything can sit in Stage 1 forever, nothing is real.

Pipeline without rules is just CRM storage.

And here is the part Sales leaders hate hearing:

Inflated early stage pipeline feels good.
It makes the board deck look healthy.
It buys time.

But it destroys forecast accuracy.
It hides rep performance issues.
It masks qualification gaps.
It delays the hard conversations.

Revenue is not created by how much is in Stage 1.

Revenue is created by how cleanly deals move forward.

Strong orgs obsess over:
-Entry criteria
-Exit criteria
-Time in stage
-Disqualification discipline
-Close lost hygiene
-Probability tied to behavior, not vibes

If your Stage 1 is doing all the heavy lifting in your forecast, you do not have pipeline.

You have optimism.

And optimism does not compound.

Process does.

Most sales teams do not have a forecasting problem.
They have a qualification problem.

When there are no hard rules for what it means to move a deal forward, reps default to one thing:
Push the close date.

No defined entry criteria.
No required discovery fields.
No enforced MEDDICC.
No mandatory next step.
No mutual action plan.
No aging limits.

So what happens?

Deal does not close.
Rep does not want to kill it.
Close date moves 30 days.
Stage stays the same.
Pipeline looks “healthy.”

This is how Stage 2 becomes a retirement home.

If you do not force qualification standards, human nature wins.

Hope feels better than disqualification.
Optimism feels better than starting over.

Strong sales orgs bake discipline into the system:
-Cannot move to next stage without required fields.
-Cannot forecast commit without defined buying process.
-Auto flags deals aging beyond threshold.
-Clear rules for when to close lost.

Qualification should be mechanical, not emotional.

If reps can advance deals based on vibes, they will.

If the CRM enforces standards, behavior changes.

Most teams do not kick the can because they are lazy.
They kick the can because no one defined what “qualified” actually means.

Everyone talks about “intent data” like it’s some secret weapon.
It’s not.

Using third party intent signals is table stakes now.

If you are not tracking category searches, review site spikes, competitor comparisons, pricing page visits, you are behind.

But here is where it actually gets interesting.

The real edge is not detecting buyers who know they want to buy.

The real edge is manufacturing intent before the buyer can name the problem.


It is understanding the company behind the behavior.

Knowing:
-What stage they are in
-How their org is structured
-Whether they are founder led or operator led
-If they are PE backed or bootstrapped
-What their current GTM motion looks like
-Where they are constrained
-What they are optimizing for

That is intent.

If a 15 person founder led SaaS company is consuming content about outbound process, that means something very different than a 200 person PE backed company doing the same.

If a company just raised and starts engaging with infrastructure and reporting content, that signals scale pressure.

If their org chart shows three SDRs and no RevOps, and they are reading about lead routing and attribution, that signals a systems gap.

If they are hiring demand gen but consuming pipeline forecasting content, that signals a misalignment internally.

Intent is contextual.

Downloads alone are noise.

Engagement alone is vanity.

The advantage comes from combining:
-Company stage
-Org makeup
-Strategic posture
-Hiring patterns
-Funding events
-GTM structure

With behavioral data.

That is knowing your customer.

Not just what they clicked.

But where they are.

What they are trying to become.

And what friction they are about to hit next.

That is how you move from reacting to activity to predicting need.

Everyone wants to add AI to their GTM tech stack right now.

But almost nobody wants to fix the thing AI actually depends on.

Data.

We see this constantly when talking with teams we work with at JayOh - the GTM Engineering Company .

The conversation usually starts like this:

“Which AI tools should we add?”
“Can AI help sales prospect faster?”
“Can we automate more of our funnel?”

All good questions.

But here’s the reality:

If your CRM data is messy, AI just helps you scale bad decisions faster.

The same problems show up every time:

• Duplicate accounts everywhere
• Incomplete fields across lifecycle stages
• Activities not logged consistently
• Lead sources that no one trusts

Then teams plug AI into the system and expect magic.

But AI doesn’t fix bad data.

It amplifies it.

A lot of GTM leaders are treating AI like a growth lever.

In reality, it’s more like a multiplier.

If your foundation is strong, it makes your team faster and smarter.

If your data is a mess… it just makes the mess happen at scale.

One quiet trend we’re seeing across clients :

The teams getting the most out of AI didn’t start with tools.

They started by fixing their data model and lifecycle structure.

Same lesson RevOps has always known:

Garbage in. Garbage out.

No alternative text description for this image

taplio

The Battle

Dale Zwizinski

Joe LaGrutta, MBA

Followers

Posts

Engagements

Likes

Performance ScoreDale Zwizinski's LinkedIn Performance

Performance ScoreJoe LaGrutta, MBA's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Dale Zwizinski

Joe LaGrutta, MBA

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Dale Zwizinski's LinkedIn Performance

Performance ScoreJoe LaGrutta, MBA's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreDale Zwizinski's LinkedIn Performance