The Value Engine

By Nico HartwellBusiness Science Technology

The Value Engine episodes

October 04 Why Your Leads Go Cold in 24 Hours (AI Email System That Changes Everything)
Your lead just filled out your contact form. You check your email 6 hours later, craft a thoughtful response, and hit send. By then? They've already signed with your competitor. In this episode, Nico Hartwell shows you how to build an AI-powered email system that responds in under 60 seconds, 24/7, turning those missed opportunities into closed deals.
🎯 What You'll Learn:
• The 5-minute rule: why companies that respond instantly are 9x more likely to convert leads (and how to automate this)
• How Make.com's 150 million monthly operations can power your lead response system for under $20/month
• The exact AI prompts that personalize emails so well, prospects think you wrote them individually
• Why automated systems see a 391% increase in qualified leads (plus the 3 triggers that make it work)
👤 Perfect for: business owners and marketers tired of watching hot leads turn ice cold while they sleep.
📍 Chapters:
[00:00] Nico Hartwell reveals the 24-hour lead death zone
[01:45] Make.com setup: connecting forms to instant AI responses
[04:15] Writing AI prompts that don't sound robotic
[06:30] The 3-trigger system that catches every lead type
[08:45] Real case study: 391% increase in 90 days
[11:00] Common mistakes that kill conversion rates
The math is brutal but simple: respond in 5 minutes, get the deal. Respond in 5 hours, get ignored. This system runs while you sleep, handles objections you haven't thought of, and books meetings you'd never catch manually. Stop losing deals to faster competitors.
🔔 Never miss an episode:
Follow The Value Engine on Spotify and turn on notifications. New episodes drop daily, your next automation breakthrough is one tap away.
🔍 Topics: AI automation, Make.com, lead response, email marketing, sales automation
More episodes available at The Value Engine
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Keywords: ai marketing, automation roi, ai tools, automation podcast, ai consulting, ai implementation, ai transformation

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13 min
October 04 Why Zapier Users Are Switching to Make.com Webhooks (And You Should Too)
Why are automation experts ditching Zapier for Make.com webhooks? Nico Hartwell breaks down the numbers: Make.com processes over 50 million webhook requests monthly and can cut manual data entry by 85%. If you're still copying data between platforms by hand, this episode will change everything.
🎯 What You'll Learn:
• How to build the Monday.com to Google Slides automation that creates custom 10-slide proposals in 3 minutes
• Why webhook failures happen (spoiler: it's usually URL formatting or missing auth headers) and how to fix them
• The specific Make.com features that make it more reliable than traditional integration tools for real-time data syncing
👤 Perfect for: Business owners and operations managers tired of manual workflows eating up their team's time.
📍 Chapters:
[00:00] Nico introduces the webhook revolution happening right now
[01:45] Why 85% data entry reduction isn't just hype (real client numbers)
[03:30] Setting up your first Make.com webhook without breaking anything
[05:15] The Monday.com proposal generator that closes deals faster
[07:00] Common webhook mistakes that kill automation (and how to avoid them)
[09:30] When to choose webhooks over traditional integrations
[11:00] Next steps to implement this in your business today
The best part? You don't need a computer science degree to make this work. Nico walks through each step using real examples from companies saving thousands of hours per month.
🔔 Never miss an episode:
Follow The Value Engine on your podcast app and turn on notifications. New episodes drop daily, your next automation breakthrough is one tap away.
🔍 Topics: automation, webhooks, Make.com, workflow optimization, business integration
More episodes available at The Value Engine
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Keywords: no code automation, ai transformation, ai cost reduction, automation success, automation tools, ai roi

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14 min
October 04 I Automated My Sales Process for 30 Days. Here's What Happened.
Nico Hartwell just automated his entire sales process for 30 days using Make.com and ClickUp. The results? His CRM now handles everything from lead capture to meeting booking without him touching a single form. But here's the kicker: this exact system is what consultants are charging $5,000 to $10,000 to build for other businesses.
🎯 What You'll Learn:
• How to build a 5-stage automated sales pipeline that cuts manual data entry by 85%
• Why ClickUp beats traditional CRMs for automation (and costs way less)
• The exact Make.com workflows that turn messy lead data into organized deal tracking
• How this setup could become your next $10K service offering
👤 Perfect for: business owners drowning in manual sales tasks and consultants looking for their next high-value service.
📍 Chapters:
[00:00] Nico's 30-day automation experiment begins
[02:15] Why most CRM automations fail (and what actually works)
[04:30] Building the intake system that never sleeps
[06:45] Meeting booking automation that feels human
[08:30] The ClickUp setup that replaces expensive CRM software
[10:15] Turning this into a $5K-$10K consulting service
[11:30] Real numbers: time saved, accuracy gained
The best part? You don't need to be a tech wizard to build this. Nico breaks down every step, shows you the exact templates, and explains why this approach works when others don't.
🔔 Never miss an episode:
Follow The Value Engine on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next favorite insight is one tap away.
🔍 Topics: CRM automation, Make.com, sales process, ClickUp, business automation
More episodes available at The Value Engine
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Keywords: make.com, business ai, automation success, ai revenue

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14 min
October 04 Why Zapier Users Are Switching to Make.com for API Connections (Real Numbers)
The average business uses 87 different tools but only connects 29% of them properly. That gap costs companies thousands in manual work and missed opportunities. In this episode, Nico Hartwell shows you exactly how to bridge that gap using Make.com's HTTP module to connect any API, turning isolated data into automated workflows that actually move your business forward.
🎯 What You'll Learn:
• How Make.com processes 100+ million operations monthly and why API connections are their fastest-growing feature
• The simple HTTP request structure that unlocks 24,000+ public APIs for weather, stock prices, social media data, and more
• Why OpenWeatherMap's 95% accuracy rate for 200,000+ cities makes it perfect for location-based business automation
• Step-by-step breakdown of building your first API connection that pulls live data into actionable workflows
👤 Perfect for: business owners and automation enthusiasts who want to stop manually copying data between systems and start building workflows that run themselves.
📍 Chapters:
[00:00] Nico Hartwell breaks down why most API connections fail
[01:45] Make.com vs Zapier: real usage numbers and switching trends
[03:30] HTTP requests demystified: the building blocks of any API connection
[06:00] Live demo: connecting OpenWeatherMap API in under 5 minutes
[08:30] Advanced tips: error handling and data transformation
[10:45] Three API connection ideas you can implement this week
🔔 Never miss an episode:
Follow The Value Engine on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next automation breakthrough is one tap away.
🔍 Topics: Make.com, API automation, HTTP requests, business workflows, data integration
More episodes available at The Value Engine
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Keywords: automation consulting, machine learning business, automation strategies, business automation, automation roi, business ai, ai automation

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15 min
October 04 Why Slack's Co-Founder Uses This Automation Tool You've Never Heard Of
What if the automation tool used by Slack's own co-founder could save your sales team 2 hours every day? Most companies lose hot leads in the chaos of email overload, but in this episode, Nico Hartwell reveals how Make.com transforms scattered responses into organized Slack alerts that actually get noticed.
🎯 What You'll Learn:
• Why Make.com processes 2 billion operations monthly while most people have never heard of it
• The exact workflow that cuts sales admin time by 21% using GPT-4 email classification
• How companies see 23% faster lead response times with automated Slack notifications
• Step-by-step setup that turns cold email chaos into hot lead gold
👤 Perfect for: curious listeners who love learning new things, especially if you're drowning in email responses and missing opportunities because important messages get buried in the noise.
📍 Chapters:
[00:00] Nico Hartwell introduces the hidden automation behind billion-dollar companies
[01:45] Why Make.com beats Zapier for complex email workflows
[04:15] Building your first Gmail to Slack automation in under 10 minutes
[06:30] Adding GPT-4 intelligence to sort urgent from routine
[08:45] The sentiment analysis trick that flags angry customers instantly
[11:00] Real numbers from companies using this exact system
This isn't another "set it and forget it" automation tutorial. You'll see actual ROI calculations and learn why smart money is moving from basic triggers to AI-powered decision making. The best part? Everything Nico shows you can be built today using free Make.com accounts.
🔔 Never miss an episode:
Follow The Value Engine on Spotify or Apple Podcasts and turn on notifications.
New episodes drop daily, your next favorite insight is one tap away.
🔍 Topics: AI automation, Make.com workflows, Slack integrations, GPT-4, email management
More episodes available at The Value Engine
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Keywords: ai workflows, automation podcast, ai transformation

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14 min
October 02 Why Most Make.com Users Are Leaving Money on the Table
Most Make.com users build basic workflows and call it automation. They connect two apps, pat themselves on the back, and wonder why their business isn't scaling.
Here's what they're missing: the real money is in complex, multi-step sequences that most people don't even know exist. One entrepreneur figured this out and built a $2.5 million business around workflows so sophisticated they look like magic to everyone else.
Nico breaks down the exact Make.com strategies that generated these results. You'll see how advanced error handling prevents costly failures, why webhook sequences beat simple integrations every time, and the specific modules that separate six-figure automators from weekend hobbyists.
This isn't about connecting your CRM to Slack. It's about building revenue-generating systems that work while you sleep.
In This Episode:
> The $2.5M workflow breakdown: customer onboarding to payment processing
> Advanced error handling that prevents 15% of common automation failures
> Why most users never discover Make.com's most powerful modules
> Specific webhook sequences that scale to millions in revenue
> The iterator functions that turn simple workflows into business engines
Timestamps:
00:00 The $2.5M Make.com case study breakdown
02:30 Advanced error handling most users ignore
04:45 Webhook sequences vs basic integrations
07:15 Iterator functions that change everything
09:30 Scaling workflows to handle serious volume
Make.com processes over 100 million operations monthly, but most users barely scratch the surface. The entrepreneurs making real money know exactly which features matter and which ones are just marketing fluff.
Follow The Value Engine for proven automation strategies that actually move your bottom line. New episodes drop daily with real case studies and measurable results.
More episodes available at The Value Engine
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Keywords: process optimization, automation strategies, automation roi, automation mistakes, ai cost reduction, automation success

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13 min
September 28 The $47K AI Lesson That Changed How I Think About Local Business
I spent $47K learning a brutal truth about selling AI to local businesses: it's not the gold rush everyone claims.
Most AI consultants are pitching chatbots and automation to restaurants and dentist offices, promising easy wins. The reality? About 70% of small businesses still don't have mobile-optimized websites, and the average local business owner is 47 years old running the same playbook for over a decade. They're not exactly lining up to implement machine learning models.
Here's what actually happens when you try to sell AI locally. You'll discover why that $2000 chatbot setup might work for enterprise clients but becomes a nightmare for the corner barbershop. I break down the real numbers behind AI implementation costs, the hidden maintenance requirements, and why most local businesses spend less than $500 monthly on all digital marketing combined.
In This Episode:
> Why local AI sales have such low conversion rates
> The 20-40 hour setup reality nobody talks about
> What actually works for small business automation
> Where the real AI opportunities are hiding
> My pivot strategy that actually generates ROI
This isn't another "AI will change everything" pitch. It's the unfiltered breakdown of what I learned burning through nearly 50 grand figuring out which AI business models actually work versus which ones just sound good in YouTube ads.
Timestamps:
00:00 The $47K reality check
02:30 Local business AI resistance explained
05:45 Hidden costs breakdown
08:20 What actually converts
10:15 My new strategy
If you're thinking about starting an AI consultancy or wondering why your local AI sales aren't converting, this episode will save you months of expensive trial and error. Follow The Value Engine for daily breakdowns of what's actually working in AI business.
More episodes available at The Value Engine
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Keywords: ai roi, business process automation, ai tools, automation mistakes

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13 min
September 27 Local Businesses Are Paying $500-5000 Monthly for This 30-Minute AI Build
While most consultants are selling complex AI solutions that take months to implement, local businesses are happily paying $500-5000 monthly for automation that takes 30 minutes to build. Pizza shops, dental offices, and plumbers are getting better ROI from simple no-code tools than Fortune 500 companies get from million-dollar AI investments.
The math is pretty wild. Small business owners spend about 40% of their time on admin tasks that a basic chatbot can handle. They're paying virtual assistants $15-25 per hour for work that automated workflows can do 24/7 for essentially nothing. And they know it. That's why they're writing checks without negotiating when someone shows them a working solution.
In This Episode:
> Why simple beats sophisticated in local business automation
> The 3 no-code tools Nico uses to build $3K monthly services in 30 minutes
> Real numbers from pizza shop automation: 80% fewer missed orders, 50% less phone time
> How to price automation services (hint: charge for the outcome, not the hours)
> The biggest mistake people make when selling AI to small businesses
Most people overcomplicate this. They try to build ChatGPT when businesses just need their appointment booking to work properly. Nico breaks down exactly which problems local businesses will pay to solve and how to build those solutions fast.
Timestamps:
00:00 Introduction
01:30 Why local businesses are the perfect AI customers
03:45 The 30-minute automation framework
05:20 Pizza shop case study breakdown
07:40 Pricing strategies that work
09:15 Common pitfalls to avoid
10:45 Next steps for getting started
The Value Engine drops multiple episodes daily with proven AI strategies that actually generate ROI. If you're done with theory and want real playbooks, hit follow.
More episodes available at The Value Engine
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Keywords: automation strategies, automation mistakes, automation podcast, ai revenue, ai transformation, ai consulting

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15 min
September 25 Why Tony Robbins Charges $1M for Systems (Not $10K for Steps)
Most AI consultants are selling workflows for $47 when they could be packaging systems for $4,700. The difference isn't just price - it's how customers actually succeed.
Nico breaks down why Tony Robbins commands seven figures for his coaching systems while workflow sellers struggle to hit five figures annually. The gap comes down to one core principle: workflows are incomplete solutions that leave customers stranded halfway through implementation.
Here's what the data shows: standalone workflows have a 12% completion rate and 23% customer satisfaction. Systems built around those same workflows? 87% completion rate with satisfaction scores that justify premium pricing. The reason is simple - customers don't just need the steps, they need the entire framework for executing those steps successfully.
In This Episode:
> Why workflow buyers have a 23% satisfaction rate (and what this means for your pricing)
> The specific components that transform a $47 workflow into a $4,700 system
> How to identify which parts of your expertise customers can't execute alone
> Real examples of consultants who 10x'd their revenue by switching from workflows to systems
> The psychology behind why customers pay more for comprehensive solutions
Timestamps:
00:00 Introduction - The workflow pricing trap
02:15 Why standalone workflows fail customers
04:30 The system components that justify premium pricing
07:45 Case study: From $47 workflows to $4,700 systems
10:20 Action steps for packaging your expertise
If you're tired of competing on price for individual deliverables, this episode shows you how to package your knowledge into valuable systems that customers actually complete. Follow The Value Engine for daily insights on building profitable AI and automation consulting practices.
More episodes available at The Value Engine
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Keywords: automation podcast, ai roi, automation mistakes, ai automation, ai transformation, ai workflows, business ai

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12 min

About The Value Engine

From the publisher's feed

Most business leaders are burning cash on AI tools that deliver zero ROI. They buy the hype, implement random automation, and wonder why their bottom line isn't moving. Meanwhile, a small group of companies are quietly using AI to cut costs by 40% and boost productivity by 200%.

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