Michael Pedersen

Revenue Growth | Emotion-Based Brand Messaging To 3x Your Revenues | Bridging the gap between sales and marketing

High-pressure phone sales teams lose 30%-40% when recovery takes longer than the next dial.

DecideFast™ Between-Calls Performance Stability Software 
"Tough calls don’t crash the day.”

"DecideFast™ runs alongside your existing tech. 
No integration required.
No coaching.
No training.
No workflow changes.
No IT involvement.

Teams do not fade because of skill or effort. They fade because timing breaks under pressure.

Training happens before the shift.
Coaching happens after the shift.
Dashboards explain the problem once the day is already lost.

Nothing supports recovery in the seconds after a call, when performance actually drops.

That is the gap DecideFast™ fills.

DecideFast™ compresses after-call recovery so each interaction starts clean.

Used in seconds.

No management overhead.

See fast after-call recovery live. 
No slides. No pitch.

CEO & Founder

Does your website convert? When was the last time you gave it a refresh? How does it compare to your competitors?

Your company website is your brand on the Internet. An under-performing and outdated website will cost you revenues. 

Let’s jump on a discovery call to see if we are good fit to work together 

Visit: www.AZNetmarketing.com or 
Email: mike@aznetmarketing.com

How is this even possible?

30–45% annual attrition has become normal in phone sales.

That range shows up consistently across industry benchmarks from Contact Center Pipeline and ICMI, especially in high-volume and BPO environments.

Now put a dollar frame on it.

Research from SQM Group and Gartner estimates the cost to replace a frontline agent typically lands between $10,000 and $20,000 once you account for recruiting, training, ramp time, and lost productivity.

That means a 300-seat operation turning over a third of its workforce each year is quietly absorbing millions in replacement cost alone.

What’s important here.

This didn’t become normal because leaders stopped caring.

Managers are under real pressure. They run WFM, QA, coaching, engagement tools, training programs. They are actively trying to stabilize performance with the systems available to them.

The issue is timing.

Most of those programs work before the day starts or after the damage shows up in reports.

Performance doesn’t usually break in meetings or dashboards.

➡️ It breaks in the moments between interactions.
➡️ Right after a bad call.
➡️ Right before the next one.
➡️ When pressure carries forward and nobody sees it.

So teams adapt.
🚫 They manage averages.
🚫 They absorb churn.
🚫 They normalize something that would feel unacceptable in almost any other function.

This isn’t about blame.

It’s about noticing when something abnormal quietly became accepted as “just how it works.”

At what point did “this is brutal” turn into “this is normal”?

Mike Pedersen

Phone Sales Teams Lose 30%-40% Output After Lunch | Between-Calls Performance Software That Keeps Afternoons From Breaking | No Training. No IT. No Workflow Changes

Can a phone sales rep reset in 10 seconds?

Most leaders have never tested this.
Not because it sounds impossible.
Because nothing has ever been built for that window.

Sales performance is designed around calls.
Measured on calls.
Coached on calls.

But floors don’t drift during calls.
They drift after them.

That small gap between one call ending and the next starting quietly determines the rest of the day.

🚫 No system reaches it.
🚫 No process operates there.
🚫 No tool moves fast enough.

Leaders feel the impact anyway.

⬇️ Energy drops by mid-day.
⬇️ Confidence slips in real time.
⬇️ One bad call spills into the next.

By the afternoon, the floor is still staffed, but performance is uneven.

Most solutions arrive too late.

🚫 Dashboards explain yesterday.
🚫 Coaching fixes tomorrow.
🚫 Training assumes calm and recall.

None of those help in the moment that actually bends the day.

Sales performance doesn’t break on calls.
It breaks in the seconds right after them.

When recovery is immediate, performance holds.
When recovery drags, the day compounds in the wrong direction.

That gap has always been there.
Leaders have felt it.
They just haven’t had anything fast enough to stabilize it.

The real question is simple.

What happens in the 10 seconds after a call ends?

That moment decides whether the next call starts clean, or carries residue.

DecideFast™ operates in that gap.
Between calls.
In real time.

We’re running a contained test with sales leaders who want steadier floors without adding training, process, or disruption.

If this matches what you see on your floor, message me and we’ll see if it fits.

Every sales leader I talk to shows the same curve.

Mornings prove the team can execute.
Afternoons make it look like they can’t.

✅ Same reps.
✅ Same scripts.
✅ Same leads.

Most explanations miss the point because they focus on effort, motivation, or skill. None of those change at noon.

What actually changes is the operating condition.

🚫 Calls stack.
🚫 Difficult interactions cluster.
🚫 Nothing clears between one call ending and the next beginning.

So by mid-afternoon, reps aren’t performing worse.
They’re performing under load.

That’s why dashboards lag reality.
By the time the numbers dip, the damage already spread across dozens of calls.

If morning performance exists, the capability exists.
The question isn’t how to train harder.
It’s how to stop degradation from compounding during the day.

Most teams don’t have a way to manage what happens after the call and before the next one.

That gap quietly decides how the day finishes.

If you run a floor, you already know this pattern.

Most phone sales teams don’t struggle because of tools, talent, or effort.

They struggle because daily output isn’t predictable.

Same team.
Same dialer.
Same leads.

One day hits.
The next day misses.

That inconsistency creates real downstream problems.

• Managers spend their afternoons intervening instead of managing
• Clients feel the instability before reports ever show it
• Forecasts become guesses, even with solid activity data

The dialer does its job.
Activity is optimized.

What changes is execution as the day wears on.

Pressure accumulates.
Judgment slips.
Tone changes.
Small drops compound across dozens of calls.

Most systems measure results after this happens.
They were never designed to stabilize performance while it’s forming.

That gap is why output feels harder to control than it should.

Sales performance still drops later in the day.

Even in teams using Gong or similar tools.
That confuses a lot of sales leaders.

Because the calls are recorded.
➡️ The data is there.
➡️ Coaching is happening.
➡️ Yet consistency still breaks.

Here’s why.
Most sales tools explain what happened on the call.
They do not support what happens after the call.

➡️➡️ Insight explains what happened.
What carries forward after a call determines what happens next.

Between calls is where problems stack:
➡️ One bad conversation carries forward
➡️ Confidence dips before the next dial
➡️ Hesitation shows up quietly
➡️ Call blocks lose stability

By the time coaching or reviews happen, the day is already off track.

This isn’t a tooling failure.
It’s a missing layer.

Insight explains performance.
Recovery protects it in real time.

If your team starts strong and fades by the afternoon, what actually happens between calls today?

That’s the question worth looking at.

After Call Work looks fine on dashboards.

It’s killing output in reality.

Reps finish a hard call.
✅ They log notes.
✅ They click dispositions.
✅ They pause.

🚫 That pause turns into hesitation.
🚫 Hesitation turns into slower dials.
🚫 Slower dials turn into crushed afternoons.

Leaders see:
 • ACW implemented
 • Systems configured
 • Activity targets set

But still spend the day reacting.
ACW tracks tasks.
It doesn’t stabilize execution.

If nobody owns what happens between calls, consistency erodes even when everything looks “set up correctly.”

That gap is where performance quietly breaks.

Solution providers sell “performance software.”

Here's my problem with it.

Most of it measures. Almost none of it improves execution/outcomes.
Here’s the line that gets blurred.

What most companies call performance:
➡️ Dashboards
➡️ Reports
➡️ Visibility
➡️ Retrospective analysis

Trends after the outcome is locked.
That is measurement.
Measurement explains what already happened (lagging indicators).

What performance actually is
✅ Execution under pressure
✅ Consistency as conditions deteriorate
✅ Output holding when rejection stacks up
✅ Results changing in real time

I come from an athletic background (a full-ride D1 college scholarship).
Track and field. Javelin, then Decathlon. Attempted to make an Olympic team.

➡️ Performance was never the quality of the data.
➡️ Performance was the clock. The distance. The placing.
➡️ You didn’t win because practice was tracked better.
➡️ You won because execution improved.
➡️ Coaching works, but not in the moment of pressure between calls.

Phone sales work the same way.
If execution doesn’t change between calls, performance doesn’t change.
If nothing stabilizes execution during the day, afternoons break.

If tools only explain losses after the fact, they are not performance tools.
Measurement tells you what happened.
Performance determines what happens next.

This is why DecideFast™ sits in performance stability.
We operate where execution actually breaks.
Between calls. Under pressure. In real time.
✅ It does not measure outcomes after they fall.
✅ It stabilizes execution while work is happening.
That distinction is the whole point.

It's time companies focus on outcomes, not just measurement.

If you’re an inside sales leader and output is still off, you fix it. You don’t keep buying dashboards.

Phone-based sales operations lose 30% of daily output after lunch.

The pattern appears across teams, industries, and tech stacks.

What operations leaders see:
✅ Strong morning dial rates.
🚫 Declining afternoon production.
➡️ Same reps. Same leads. Same hour count.

What the metrics show:
✅ First-half call volume: 12-13 per hour
🚫 Second-half call volume: 8-9 per hour
🚫 Conversion rates: drop proportionally
✅ Manager intervention: increases 3 PM onward

What this represents operationally:
⬇️ 30% of capacity unused every afternoon.
⬇️ Full payroll expense. Reduced output delivery.
⬇️ Forecast misses despite effort increases.

Standard fixes don't address it:
🚫 Better list quality doesn't prevent the decline.
🚫 Script improvements don't maintain afternoon pace.
🚫 Incentive adjustments don't change the pattern.
🚫 Additional coaching doesn't stabilize output.

Because the constraint isn't in those areas:
➡️ Training builds capability over weeks.
➡️ Coaching refines execution over days.
➡️ Dialers optimize connection rates continuously.
➡️ CRMs track activity after it occurs.

None operate in the moments between calls when one difficult interaction affects the next four attempts.

That's where the 30% disappears.

That's the operational gap costing seven figures annually.

It's time to stop normalizing 30% drops and fix it.

Inside Sales Leaders:

Your dashboard is red. Again.

12 calls/hour this morning. 8 calls/hour right now.
Same reps. Same leads. Different output.

You know exactly when it started.

That brutal rejection at 1:47 PM. The one where the prospect hung up mid-sentence. Your rep stared at the screen for 12 seconds. Dialer queued the next call. Rep wasn't ready.

That call tanked the next four.

You watched it happen. You couldn't stop it.

Every. Single. Day.

DecideFast™ operates in those 8 seconds.

Between one call ending and the next connecting. Where your rep either clears what happened or carries it forward.

Pilot teams: Afternoons now match mornings.

If you're done watching 30% disappear daily, let's talk.

DM me. 10 minutes.

The One Moment No Phone Sales Tech Stack Covers

Between-Calls.

These moments during the phone sales day explain why performance breaks even when everything appears to be in order.

It is the only moment no system owns.
Dialers move the next call. CRMs log the last one. Nothing is responsible for what carries from one interaction into the next.

It is the only moment managers cannot scale into.
A manager can step in after the damage is visible. They cannot be present in the seconds between every call across dozens of reps.

It is the only moment dashboards cannot see.
Dashboards show outcomes after execution already changed. They never show the hesitation, tone shift, or pace decay forming between calls.

It is the only moment where one interaction affects the next.
A harsh rejection does not stay isolated. Without clearing, it alters the next conversation, then the next, then the next.

It is the only moment that explains same-day instability without blaming reps.
The capability is proven in the morning. The breakdown happens later because carryover compounds, not because reps forgot how to sell.

That moment sits between calls.

DecideFast™ is a between-calls stability performance software for phone-based sales teams, designed to prevent output decline throughout the day. 
Not training. Not coaching. No IT lift. No workflow change. 

Used in the seconds after a tough call to clear the carryover fast and maintain dial pace and next call success.

We are executing low-risk, 14-day, 25-rep contained tests to stabilize afternoons for phone sales teams. 

Let's talk if you want to hit your afternoon numbers and have your managers intervene less.

Luke Shalom

CEO @ Grow Solo I help the C-suite turn industry expertise into predictable pipeline

There are two ways agency founders try to turn LinkedIn into a reliable source of clients.

One is by guessing. Posting when there is time. Relying on referrals and hoping the next month is a good one.

The other is by building a system that creates steady conversations, even when client work gets busy.

Our clients choose the second.

→ Joya Dass (Founder, Women’s Leadership Lab)

The problem:

- She spent hours in the DMs to book a few calls.
- Content happened on weekends.
- When delivery picked up, sales stopped.

Some months were strong. Others were quiet.

Even in good months, there was stress about where the next client would come from.

What we did:

We built a simple LinkedIn content system she could run in house. No ghostwriter or agency retainer dependency.

We shifted her content from generic how to posts to insight driven thinking.

That changed the conversations. People in her network showed up aligned and ready to buy.

We added a content led outbound system powered by a setter we hited and trained. The system kept working while she focused on delivery.

Results:

- Revenue grew from $150k to $300k.
- Sales became predictable.
- The pressure eased.

→ Jonathan Crowder (Founder, Founders Ally)

The problem:

- No time for content.
- Unpredictable sales calls.
- Leads with no budget.
- No sales background. A 10 percent close rate.

What we did:

We removed Jonathan as the bottleneck. 

We built a content system using AI supported by his real thinking. It sounded like him, not software.

Trust was built before the call. Outbound went from 10% to 40% response rates.

We focused prospecting on real buying moments, like recent funding to catch buyers at the right time.

We simplified his sales process. Clear outcomes. Clear cost of inaction was communicated to his buyers.

Results:

- Meetings went from 3-5 a month to 10-15 sales qualifed leads a month.
- A visible pipeline. Increase to a 25 percent close rate.
- $300k in pipeline in 60 days.
- $30k in new revenue closed.

→ Brian Dukes (COO, Exit Wise)

The problem

- Ovelry dependent on referrals.
- No LinkedIn playbook.
- No time to write.

What we did

- We clarified positioning.
- Simplified the offer.
- Built a content engine.

Then we added outbound from the founder profile.

Everything was owned and run internally.

Results:

- Consistent posting machine.
- 500 to 6500 ICP followers.
- $740,000 in LinkedIn-driven revenue over two years.

We have helped 100+ founder led agencies replace unpredictable growth with systems they understand and control.

If this feels familiar, we should talk.

Founder

We help executives to build and monetize their brand on linkedin by scaling your content and turning it into leads, authority and thought leadership.

How?

Engagement + DM flows = Qualified meetings. 

Done with you. Done for you.

Ive fired myself from every job I’ve ever had.

Not because I kept failing.

Because I knew when something stopped serving me.

Early on, I learned the hard way.

Missed quota in my first sales role.
Got told “sales isn’t for you.”
Still remember crying in that PIP review.

So I left.

Took a pay cut selling online workstations.
Hit quota. 

Got bored out of my mind.

That was the pattern.

Whenever things felt safe, they stopped feeling right.

So I kept moving.

Podcast company. Six months.
Started my business on the side.
Got told I had to quit or scrap my side hustle.

I quit.

Head of Sales at a content agency.
160% of quota.
Built a following on LinkedIn.
Quota doubled.

So I left.

That led to two years of Grow Solo.
Done-for-you ghostwriting.
Good money. Proper momentum.

Then ChatGPT dropped. 

And instead of defending a model that would be gone in a couple years…

I burned it down.

And started helping founders to build the sales systems on LinkedIn and bring them in house instead.

Since reinventing?

• 5-figure salary → 5-figure months
• $125M+ in pipeline generated
• 100 founders scaled in 3.5 years

What I’m most proud of?

→ Got fired. Didn’t stop.
→ Got comfortable. Burned it down.
→ The game changed. I changed faster.

If you’re heading into 2026 clinging to what used to work…

That’s your sign to reinvent. Find another way. Push until you win.

How are you shaking up your LinkedIn strategy this year ?

CEO @ Atticus | AI sales systems for founders | 5–10 deals/month from LinkedIn in <​ 30 mins/day I $125M+ pipeline generated for 100+ clients

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2022: I wanted 100,000 LinkedIn followers.

2026: Now I want 10 people who trust me enough to wire me $100,000.

This shift didn’t happen because I stopped wanting influence.

It happened because after 4 years on LinkedIn, I learned one simple truth.

It’s the difference between creators with under 5,000 followers making 7 figures a year from agencies or coaching…

And creators with 100,000 followers who struggle to break $100k.

I call it being "Known Well".

On LinkedIn, there are two paths.

First, the "Well Known" crowd.

Think Justin Welsh.
Broad content.
Viral posts.
Big complex funnels.

Courses for everyone.

Nothing wrong with that.

They are playing their game.

But that game only works with massive distribution.
Most creators chase this path.

They chase 100,000 followers.
They think it will change everything.

It won’t.

The real leverage is being "Known Well" by the right people.

You become niche-famous.

A small group knows you for one thing.
They trust you deeply.
Even 10-30 people like that will pay you well.

That’s how small accounts make $100k a month on LinkedIn.

They play the Known Well Game.

And it’s simpler than you think:


1) Comments

They build a list of the right accounts... people they want to be known well to (ICPs, influencers with their buyers).

They show up every day, pay attention to posting times, and leave insightful comments.

These look like mini-posts, because their aim is to make impact and become known to the right people.

2) They have an indoctrination content ladder

They don’t create for mass appeal.

They understand what’s required to take their specific ICP from skeptic to ready-to-buy ... and they focus on that ruthlessly.

These posts might get less than 10 likes… but the DMs are on fire.

3) They have an outbound motion that feels like inbound

They may not get the turbo reach of big accounts, but dialled-in content lets LinkedIn bring the right people to them.

They leverage profile views, engagement, and followers to start conversations with members of their small but mighty Known Well audience.

Using AI tools, they automate the top of this conversation and only jump in when people are interested and responding.

That’s how you get 10 people to wire you $100k.

That’s the game I want to play.

Build deep trust with people you can truly help.

Everything else on LinkedIn is noise.

Remember that.

I share weekly strategies on how to become known well in your niche and get clients from LinkedIn for your agency. Go read it here: https://lnkd.in/ezZpkchD

There’s a new breed of agency founder emerging in 2026.

They don’t chase likes.
They don’t live in the DMs.
They don’t grind comments.

They’re called Leveraged Operators.

I’ve spent the last 4 years building LinkedIn sales systems for 100+ lean founders, and the pattern is clear: most are stuck in the activity trap.

AI didn’t just “help.”
It rewired the entire game.

That same ChatGPT agent everyone’s playing with can now map a full demand gen strategy in minutes. 

Meanwhile, founders still hope referrals and a “good name in the space” will carry them.

It won’t.

LinkedIn reach is down ~70%.
Referrals are lumpy.
Cold outbound without trust feels pointless and never leads to clients.

The symptoms are familiar:

- No time to sell
- Prospects treat you like a vendor
- Pipeline dies when you stop posting

I’ve lived it. It’s exhausting.

The founders pulling ahead are doing something different.

Leveraged Operators use AI, assets, and workflows so effort compounds.
They build 80–90% margin consulting layers on top of services using:

- Founder-led demand gen on LinkedIn
- AI agents that create and distribute content
- Content-led outbound that feels like inbound

Two years ago, I hit $60k in revenue in a month.

Profit? $4k.

More revenue. Less freedom.

Thats what building your business the old way gets you. 
Bigger numbers and little take home.

I burned that model down.

In 2025:

$250k profit
21,000 new LinkedIn followers
30–50 leads a month with AI doing the heavy lifting

Founder results mirrored it:

- Joya (Women’s Leadership Lab) doubled ARR to $350k and generates ~$540k in pipeline monthly.

- Jonathan (Founders Ally) went from 5–6 meetings a month to one a day in 60 days.

- Brian (M&A firm) closed $750k in pipeline with inbound-driven positioning.
That’s the Leveraged Operator model.

Not more content.
Not more DMs.
Not more headcount.

System > activity.

Want the exact strategy I’m using in 2026 to add 5–10 deals a month from LinkedIn in under 30 minutes a day?

DM me “Leverage.”

(Or you know you could spend another year on the struggle bus and watch your competitors apply the above model and eat your lunch...)

P.S I took these photos on my 4th holiday of last year with my Colombiana. It was the 3rd time I went to the Carribean. And it was only made possible by having a agency with the right systems to replace me as the bottle neck. You can do it too.

My client Joya Dass fired us after we doubled her business.

Then rehired us to build her in-house Atticus Predictable LinkedIn Sales system.

Phase 1 - October 2024 - August 2025

When we started with Joya Dass, Women’s Leadership Lab sat at 5 sales calls a week.

We took her to 10-20 qualified calls a week.

All from people who had already seen or engaged with her content.

Over that year:

→ Her rates went up by $10,000 from better fit prospects
→ She closed $130,000 from the Atticus Done-for-you system
→ ROI was 4.5x on what she paid us

We did not flood her calendar.

We filtered hard so she only spoke with senior women leaders from places like Harvard, Berkeley, high level firms.

Then we paused the done-for-you work after we sunsetted the done for you SDR service.

I counted that as fired.

Phase 2 - September 2025 - December 2025)

On a later call, I was about to refer her to another vendor.

Then I walked her through our new Atticus Predictable LinkedIn Sales system.

How she could bring all her client acquisition in-house in under 30 minutes a day...

We started again.

Different model. 

First 10 days:

→ Built a content bank in her exact voice with our content engineer 
→ Structured posts to shift beliefs and drive demand
→ Trained an agent in ChatGPT so she could write expert content herself
→ Mapped a 6 month content calendar tied to real sales conversations

Next 20 days, we built outbound:

→ Deep GTM research on her ideal client
→ Lead list playbook so she could find the right people on demand
→ AI sales rep trained on her offer, her tone, her dos and donts
→ Workflows triggered by real intent signals like job changes and thought leadership pushes
→ A/B tests on talk tracks until we hit message market fit (what she needed to send to get responses)
→ Plugged in and trained a setter once the machine booked meetings on repeat

Result in the last 2 months of the year:

→ $70,000 closed
→ Women’s Leadership Lab went from $150,000 to $300,000
→ Agency spend dropped from $4,000 a month to $400 a month
→ Her LinkedIn system now drives $510,000 in qualified pipeline every month

What you do not see:

We blew up campaigns that stopped working.
We rebuilt whole flows from scratch.
We had dead weeks where nothing landed.

Joya did not blame the system.
She co-created the result.

That is what my best clients understand.

You are not buying magic.

You are building a machine together. 

I recorded a step by step video on Joya’s whole strategy that doubled her business using LinkedIn, showing:

→ Why we did not fix her problem with content or outbound first
→ Why her content never generated inbound before, but did in 10 days with the new system
→ How we took her from 2–6 hours in the DMs a day to 30 minutes then to zero
→ Why she now only talks to people who already like, know and trust her

Comment "System" below and DM me “System” if you want the video.

P.S Proud of you Joya Dass and can't wait to see your growth this year.

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Michael Pedersen

Luke Shalom

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Michael Pedersen

Luke Shalom

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