Erin Balsa

Content Marketing Consultant and Writer 

I build and execute content marketing strategies for sales-led B2B SaaS startups that sell complex, enterprise-ready solutions.

Erin enjoys B2B content marketing, keeping the Halloween spirit alive year-round, and talking about herself in the third person. 

No but really ... 

I've been working in content since 2011 when I landed my first job as an editor. Since then, I've worn a bunch of hats like:

- Content marketing agency leader
- Inc. 5000 B2B SaaS marketing director
- Freelance content strategist, writer, and editor

Over the years, I've written for a bunch of brands you probably know including:

- HubSpot
- Drift
- G2
- Intuit
- And a Fortune 100 that shall not be named

These days, I help marketing teams at B2B SaaS companies (Series A-C) survey a representative sample of their ICP and write a 𝒃𝒆𝒍𝒊𝒆𝒗𝒂𝒃𝒍𝒆 original research report that positions their brand as a credible authority — to secure press mentions and close enterprise deals.

If you're ready to publish research that builds trust instead of skepticism, let's chat. And if you just want to connect with a fellow marketing nerd who decorates for Halloween in July, I'm here for that too.

Hausofbold.com

Content Marketing Consultant

I build and execute content marketing strategies for sales-led B2B SaaS startups that sell complex, enterprise-ready solutions. 

Unlike some strategists and agencies, I don't hand you a content strategy and say, "Best of luck!" I ensure your success by helping across four buckets:

▶ People 
▶ Process 
▶ Strategy
▶ Execution 

Learn more and read client testimonials at: hausofbold.com

Anyone else feeling like a bear coming out of hibernation today?

After taking extended time off for the holidays, I'm simply not ready for the onslaught of peppy "Behold my 25 top New Year's resolutions!" posts.

I want less of that and more of this:

- I need a nap but also a marketing strategy. 
- Slowly remembering how to be a professional human.
- Desperately searching for things to say at the start of the Zoom call.
- Pretending to remember what we decided before the break.
- Trying to inspire others while feeling like a potato. 
- Eh, that can probably wait until Wednesday. 

Here's to giving yourself (and others) some grace. 🥂

I help B2B marketers create original research reports

An influencer once posted about how to publish an original research study in a week. 

When I asked a technical question about data analysis, it was clear we weren't talking about the same kind of "research."

I could end the story here because IYKYK. 

But for those of you newer to publishing survey-based research reports, I'll add a pinch of color.

*𝘪𝘯𝘴𝘦𝘳𝘵 𝘚𝘢𝘭𝘵 𝘉𝘢𝘦 𝘦𝘮𝘰𝘫𝘪*

You can NOT publish a 𝙘𝙧𝙚𝙙𝙞𝙗𝙡𝙚 study in a week. 

Even if you collect enough quality responses in two business days — and even if you use AI to analyze the data and surface trends — that leaves you only THREE business days to do everything else:

Report strategy
Survey design
Soft launch
Data cleansing
Human review of AI output
Outline building 
Outline review
Copywriting
Editing
Revisions
Graphic design
Proofreading
More revisions
Autoresponder creation and testing
Nurture campaign creation and testing
Rev ops
Sales enablement
PR
Launch day prep
etc. etc.

Shoot, I spend an entire day writing survey questions!

So yeah, it's possible to publish 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨 in a week. But there will be trade-offs, like:

- Potential inclusion of AI hallucinations 
- Rushed survey design that produces obvious, shallow insights
- Limited analysis (no time for meaningful cross tabs or synthesis)
- Weak narrative cohesion that undermines thought leadership
- A report that screams "we built dis 4 leads!"

If your goal is credibility, increased trust, and research that actually shapes the conversation in your space, one week simply won't cut it.

I help B2B marketers create survey-based research reports 📈 Next available report kickoff date → April 6

Turns out the rumors are true. 







Washing machines really DO eat socks. 

I’m enjoying a typical morning of juggling work and home responsibilities. 

Today, the appliance repair guy is here fixing our front load washing machine, which has been leaking due to a rip in the door gasket. 

As the guy was fishing around inside the recesses of the machine, he pulled out a freaking sock. 

45 years old and I’m still learning something new almost every day. 🤭

The most difficult part of transitioning from a retainer-based biz to a project-based biz?

Scheduling 

Survey-based research reports are complex projects with lots of moving pieces. 

And even though I’ve developed — and refined — my report project management template over the past 8 years, scheduling multiple overlapping timebound reports has been surprisingly challenging. 

That said … 

Back in my agency days, I used to manage writer resources for 15+ full-time writers to the 30-MINUTE UNIT! 

Imagine your agency has 350 clients.  Each client gets different types and amounts of content. In order to maximize profits, you need to assign each writer as much work as they can humanly handle — and keep their assignment log full at all times, in spite of frequent delays on the client side. And now imagine that one 30-minute unit is equal to 200 words of “standard content,” 150 words of “premium content,” 100 words of “responsive content,” 1 page of an e-book, a 250-word “gold infographic,” a 500-word “silver infographic,” a 300-word video script (and so on and so forth). 

It was nuts. 🥜 

But that’s the kind of workload I managed — by hand, inside various spreadsheets, long before ChatGPT — for 3.5 years. 

So yeah, scheduling multiple report projects for myself is tricky, but I got this.

No alternative text description for this image

🎬 Behind the scenes of making a Navattic research report 🎬 l

Multiple marketing leaders have told me they love Navattic's reports, so Natalie Marcotullio and I figured it would be cool to show you how Navattic "makes the sausage."

I'll be sharing bits of our 30-minute Q&A across a few different posts.

Erin: When did the idea for your "State of the Interactive Demo Report" first come about?

Natalie: The first report was published in 2023, which means the idea came about in 2022. We kept getting questions from customers and prospects asking for data. When you sell to marketers, they really love data — so it was a no brainer! Let's build a resource that succinctly answers all these questions that we can share whenever someone asks a question.

Erin: What questions were your customers and prospects asking?

Natalie: Customers ask questions like, "How long should I make my demo?" and "What kind of language should I use?" Prospects usually want help making their case internally. So with the benchmarks in hand, they can say to their leadership: "Demos convert at a higher rate than other assets we use," or "If we invest in this, here's what we can expect."

Erin: What was the primary question you were trying to answer when you created your first report?

Natalie: What do top-performing interactive demos have in common? 

Erin: How has that primary question evolved, if at all?

Natalie: In the 2026 report, we're still trying to answer what top-performing interactive demos have in common ... but we're getting more granular. People don't just want to hear how their demo compares against ALL the demos built on Navattic — they want to measure performance within their industry or for their company size. Also, we now have lots more features, and people have specific questions about those. For example, "That extra CTA banner that's always across the demo — is that commonly used in the top 1% of demos?"

👉 Navattic's 2026 State of the Interactive Product Demo 2026 report drops next week. 

Want to be the first to see it?

Get early access here: https://lnkd.in/edZ_e7aJ

Meanwhile in Boston ... 

Just sitting here playing the "Should I try to get some work done even though there are five children in the next room?" game. 

Considering it took me 15 minutes to hear myself think long enough to write this three-word post, I’ll see myself out.

Your research report launched ... and nobody seemed to care. 

What do you do?

Welp, your first instinct might be to stick your head in the sand in shame. Totally understandable. But just know that this is fairly common.

(I recently spoke with a former colleague who spent MONTHS and THOUSANDS on a survey-based research report that didn't do a damn thing for the business.)

Fortunately this is a solvable problem — if you're willing to run a project post-mortem. Here's a simple plan of attack plus the kinds of questions that reveal what went wrong:

𝗦𝘁𝗲𝗽 𝗼𝗻𝗲 - 𝗔𝘂𝗱𝗶𝘁 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗮𝗶𝗹𝗲𝗱. 

𝘋𝘪𝘥 𝘪𝘵 𝘧𝘭𝘰𝘱 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘯𝘰 𝘰𝘯𝘦 𝘴𝘢𝘸 𝘪𝘵?
𝘋𝘪𝘥 𝘪𝘵 𝘧𝘭𝘰𝘱 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘯𝘰 𝘰𝘯𝘦 𝘤𝘢𝘳𝘦𝘥?
𝘋𝘪𝘥 𝘪𝘵 𝘧𝘭𝘰𝘱 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘯𝘰 𝘰𝘯𝘦 𝘵𝘳𝘶𝘴𝘵𝘦𝘥 𝘪𝘵?

𝗦𝘁𝗲𝗽 𝘁𝘄𝗼 - 𝗔𝘂𝗱𝗶𝘁 𝘆𝗼𝘂𝗿 𝘁𝗼𝗽𝗶𝗰.

𝘋𝘪𝘥 𝘺𝘰𝘶 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘢 𝘵𝘰𝘱𝘪𝘤 𝘺𝘰𝘶𝘳 𝘐𝘊𝘗 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘤𝘢𝘳𝘦𝘴 𝘢𝘣𝘰𝘶𝘵?
𝘋𝘪𝘥 𝘺𝘰𝘶 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘢 𝘵𝘰𝘱𝘪𝘤 𝘵𝘩𝘢𝘵'𝘴 𝘵𝘪𝘮𝘦𝘭𝘺 𝘰𝘳 𝘵𝘳𝘦𝘯𝘥𝘪𝘯𝘨?
𝘋𝘪𝘥 𝘺𝘰𝘶 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘩𝘦 𝘵𝘰𝘱𝘪𝘤 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘢 𝘧𝘳𝘦𝘴𝘩 𝘭𝘦𝘯𝘴?

𝗦𝘁𝗲𝗽 𝘁𝗵𝗿𝗲𝗲 - 𝗔𝘂𝗱𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆.

𝘋𝘪𝘥 𝘺𝘰𝘶 𝘴𝘶𝘳𝘷𝘦𝘺 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘱𝘦𝘰𝘱𝘭𝘦?
𝘞𝘦𝘳𝘦 𝘺𝘰𝘶𝘳 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘥𝘦𝘴𝘪𝘨𝘯𝘦𝘥 𝘵𝘰 𝘴𝘶𝘳𝘧𝘢𝘤𝘦 𝘵𝘦𝘯𝘴𝘪𝘰𝘯 𝘰𝘳 𝘮𝘪𝘴𝘢𝘭𝘪𝘨𝘯𝘮𝘦𝘯𝘵? 
𝘐𝘧 𝘢 𝘴𝘬𝘦𝘱𝘵𝘪𝘤𝘢𝘭 𝘳𝘦𝘢𝘥𝘦𝘳 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘥 𝘺𝘰𝘶𝘳 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴, 𝘤𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘤𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘵𝘭𝘺 𝘥𝘦𝘧𝘦𝘯𝘥 𝘵𝘩𝘦𝘮?

𝗦𝘁𝗲𝗽 𝗳𝗼𝘂𝗿 - 𝗔𝘂𝗱𝗶𝘁 𝘆𝗼𝘂𝗿 𝘀𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴. 

𝘋𝘪𝘥 𝘺𝘰𝘶 𝘴𝘶𝘳𝘧𝘢𝘤𝘦 𝘳𝘦𝘢𝘭 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘰𝘳 𝘫𝘶𝘴𝘵 𝘳𝘦𝘨𝘶𝘳𝘨𝘪𝘵𝘢𝘵𝘦 𝘸𝘩𝘢𝘵 𝘵𝘩𝘦 𝘤𝘩𝘢𝘳𝘵𝘴 𝘴𝘩𝘰𝘸?
𝘋𝘰𝘦𝘴 𝘺𝘰𝘶𝘳 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥 𝘭𝘪𝘬𝘦 𝘢 𝘵𝘳𝘶𝘴𝘵𝘸𝘰𝘳𝘵𝘩𝘺 𝘴𝘵𝘶𝘥𝘺 𝘰𝘳 𝘢 𝘴𝘢𝘭𝘦𝘴 𝘣𝘳𝘰𝘤𝘩𝘶𝘳𝘦?
𝘊𝘰𝘶𝘭𝘥 𝘢 𝘫𝘰𝘶𝘳𝘯𝘢𝘭𝘪𝘴𝘵 𝘦𝘢𝘴𝘪𝘭𝘺 𝘱𝘶𝘭𝘭 𝘢 𝘩𝘦𝘢𝘥𝘭𝘪𝘯𝘦 𝘧𝘳𝘰𝘮 𝘵𝘩𝘪𝘴?

And if you'd like an outside opinion on where things broke down, I'm always here to help!

The 2026 State of the Interactive Product Demo report just dropped! 👀 

Navattic analyzed the top 1%, 10% and 25% of demos built on their platform to uncover what actually works.

They found that top 1% interactive demos do 7 specific things:

1) They keep it short (5-13 steps).

2) They offer choices. 

Demos that give people options (explore different product lines, personas, or use cases) have a 57% completion rate vs. single-flow demos, which have a 35% completion rate.

3) They get Step One right.

On step one, 29% use "you/your" language, 24% add visual beacons to indicate where users should look, and 15% give explicit instructions. 

4) They use multiple CTAs inside the demo.

Believe it or not, they use 4-5 CTAs per demo on average! Most CTAs are actionable (Try for free, Book a demo, Get started).

5) They deploy interactive demos all over the dang place.

50% of top performers have demos in multiple places:

- Product pages: 62% (up from 19% last year)
- Homepage: 48% (up from 8%)
- Demo centers: 45%

6) They tend to be ungated. 

7) They use HTML/CSS web capture. Web captures refer to HTML/CSS cloning of the front end of your product. This means the demo looks and feels real and you can edit the product data for personalization. 

👉 Download the full report for more helpful insights — like interactive demo performance and adoption by industry! 

Link in the comments.

And keep an eye out for more posts from my "Behind the scenes of making a Navattic research report" interview with Natalie Marcotullio!

Chart from Navattic's State of the Interactive Product Demo report

Yesterday I was a bear coming out of a cave. Today I'm a marketer talking about research reports.

More specifically, how brands do it wrong.

Mistake no. 1: Sloppy methodology.

You may have heard the phrase "Garbage in, garbage out."

If you build your report on a foundation of garbage data, you wind up publishing a garbage report that spreads misinformation.

And that's likely at odds with what you're trying to accomplish as a brand. 

Got 30 seconds? Watch the clip.
Got 30 minutes? Watch the full video. 

Thanks Justin Vajko for inviting me on your podcast!

What's the ROI of a research report?

As I told Justin Vajko, while there's nuance, you should generally see two outcomes:

1) In the short-term, press mentions.

There are three things you gotta get right here. 

- Your research has a newsworthy angle.
- Your report is built on high-quality data.
- You let the market know about your study.

If you get those things right, you should see press hits right away. As an example, one of my clients got a write up in an industry publication with 2.6 million daily readers on day one of their report going live.

2) In the longer-term, deal impact.

It generally takes a couple of months to see deals you can confidently attribute to the report, which is why I check in with my clients at the 3-month mark.

At the time of this recording, the same client had just told me that their report had already influenced a few enterprise deals and a few renewals.

Enterprise deals are big, and they take time. 

If the report was that one thing that helped buyers think, "This brand gets it. They seem credible," then I've done my job. 

👉 Liked this clip? Check out the full interview where I explain my approach: Believable Research.  

I'll drop the link in the comments as per usual.

My face when I see someone make sweeping claims about an industry based on their survey of 50 people.

(jk jk — I’m not here to judge, I’m here to help.)

If your survey sample was itsy bitsy teeny weeny, don't present your findings using words like:

everyone
no one
all

That's like walking into a room where all 50 people are wearing Nike sneakers and declaring, "Everyone wears Nike sneakers!" 

No. 

Everyone in that ROOM wears Nike sneakers.

There’s nothing wrong with surveying a small group and sharing what you found. It's a great way to spark interesting conversations on social. 

Just don't frame your findings as universal truths.

Instead, use language like:

"Of the 50 senior leaders we surveyed ... "
"The majority of respondents said ... "
"1 in 3 surveyed BDRs ... "

That way you come across as credible instead of just another vendor who stretches the truth to push their narrative and sell shit.

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

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

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.

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