AI & Marketing for Home Service Pros

Train The Person First, Then Train the AI

🚀 Ready to grow your home service business with AI and marketing that actually works? Book a free strategy call → https://www.contractormarketingpros.com/calendar Most owners blame the lead source when a call goes nowhere. Joe Crisara has trained more than seventy three thousand service professionals, and he says the lead is rarely the problem. The person running the call was never trained, and most owners do not know how to train in the first place. Worse, they try to bolt AI on top of a sales process that was broken to begin with. Joe is known as America's Service Sales Coach. He spent roughly forty five years in the trades, was on the original team that built the AI coaching tool Rilla, and created his own AI pricing tool that helps technicians sell three to five times more on the same call. He is the author of the bestseller "What Should We Do?" In this episode you'll learn: • Why you train the person first and only then train the AI on what worked, instead of expecting software to fix a sales process nobody documented • How to make someone actually want the training before you give it, using what Joe calls the law of dissonance • Why AI is an exoskeleton for your sales coach, not a replacement, and what happens to accountability when a machine is the only thing giving feedback • The reason AI gives your people too much credit, and why a human still has to deliver the improvement plan • How Joe's option builder breaks one problem into five, prices it out of a two thousand line price book in seconds, and reveals the price last on purpose • Why the same customer journey works no matter where the lead came from, so you can stop blaming Facebook, Angi, or Yelp • The ninety minutes per call most technicians waste on notes and pricing, and what to do with that time instead • The real KPI Joe says marketers ignore, which is whether you know the names of the people actually running your calls This one is for any home service owner who keeps buying more leads when the real fix is upstream, in how their people are trained.

From a Week of Estimating to One Day With AI

🚀 Ready to grow your home service business with AI and marketing that actually works? Book a free strategy call → https://www.contractormarketingpros.com/calendar Most contractors turn down bids they do not have time to put together. Brad Strawbridge used to do the same thing. Then he built a system that produces a full commercial sealed bid package in a day instead of the seven to ten days his old estimating team needed, and now he bids work he used to politely decline. Brad founded Capital City Roofing in May 2024 and scaled it to a multimillion-dollar operation in about a year. He co-founded BuilderLync, an AI-driven contractor CRM, sits on the board of the Roofing Technology Think Tank, and was just accepted into the Forbes Business Council. On this show he does not talk in generalities. He shares his actual screen and builds a real bid live while an RFP sits in his inbox. In this episode you'll learn: • Why the first step is feeding the AI your own pricing data, your labor, your equipment, your dumpsters and lifts, so the bids come out accurate to how you actually do business instead of guessing off market averages • How Brad turned a repeatable estimating process into a reusable skill, a detailed instruction file the AI follows the same way every single time • The reason he tested a bid against a baseline until it scored 13 out of 13 before he ever saved it as a skill, and why an untested version only scored 7 out of 13 • How giving the AI permission to challenge him paid off when it overrode his pricing decision to protect his margin • Why he organizes his AI workspace like a company, with a project for each department, so the AI always pulls the right context • The moment the system caught that a set of plans was a permit set, not a sealed-bid RFP, and warned it would otherwise create compliance documents that do not exist • How speed to proposal became his single biggest competitive edge in commercial work • Why a brand new sales rep with zero roofing background can run appointments on day one when the scripts and objection handling are built into the system This one is for any home service contractor who is leaving money on the table because there are not enough hours in the day to quote every opportunity.

You Don't Need More Leads: The 5 Funnel Leaks Costing Contractors Jobs

===OUTPUT_2_DESC=== 🚀 Ready to grow your home service business with AI and marketing that actually works? Book a free strategy call → https://www.contractormarketingpros.com/calendar Most contractors react to a slow month the same way. Spend more on ads, buy more leads, knock more doors. But if your funnel leaks, more leads just means spending more money to lose more jobs. The contractors pulling away from your market aren't buying more leads. They fixed five specific leaks first. In this solo episode, Mauricio Cardenal opens up the exact funnel audit his agency runs on every client. Mauricio is the founder of Contractor Marketing Pros, where he has worked with more than 500 contractors over nine years and generated $150M+ in tracked sales. This material comes straight from a private workshop he ran for 30 contractors, and the feedback was strong enough that he turned it into a full episode. In this episode you'll learn: • Why 78% of customers buy from the first company that responds, and why your odds of reaching a lead drop 60% after just one hour • The three baseline numbers you must know before spending a dollar on marketing: average job value, gross margin, and allowable cost per acquisition • How one company recovered $750,000 in 60 days with a missed-call text campaign, and another generated $250,000 in week one just by calling back abandoned calls • Real contact rate takes 12 to 14 touches over a two to three week window, not two calls and a shrug • Why texting like a human converts dramatically better, and the iMessage trick that lifts response rates by roughly 50% • The industry average call booking rate is 42% according to ServiceTitan, while elite operators book 90% • A $5M company that moves booking rate from 60% to 70% adds roughly $500,000 in revenue without changing anything else • How Steven Van Horn's team at Simpson Salute added $4M in tracked revenue through consistent CSR training alone • Brigham Dickinson's three caller needs that get appointments booked: feel understood, feel cared about, feel reassured • The night-before selfie video from your tech that separates you from every competitor and lifts show rates • How Brad Strawbridge used AI to win a $200,000 commercial contract with a proposal delivered in hours instead of the 7 days his competitors needed • The same 100 leads producing 6 jobs for one contractor and 12 for another, and exactly which two stages made the difference This one is for the contractor who is tired of paying for leads that never turn into revenue and wants to know exactly where the money is leaking out.

How to Sell a Roofing Company for 8 Figures in Under 4 Years

🚀 Ready to grow your home service business with AI and marketing that actually works? Book a free strategy call → https://www.contractormarketingpros.com/calendar Almost no contractor sells to private equity, and the ones who do usually take a decade or more. Nehal Kaiser did it in three years and ten months, for an eight figure exit. His point is the one most owners miss. He did not get there by being the best roofer. He got there by building a recruiting and sales machine and treating a clean, sellable business as the goal from the very first day. Nehal spent about ten years at LA Fitness, rising from entry-level salesman to VP, where he learned to recruit, train, and develop people at scale inside a brutal accountability culture. He left during the pandemic, knocked doors while nearly broke, and built a roofing company from zero to almost a hundred people before selling to private equity. Blue Hammer is now part of the RAFTRx platform. In this episode you'll learn: • The STAR framework Nehal used to build his founding team, structure, technical, action, and relationship, and why a team missing any one of those usually implodes • Why he says he was never really running a roofing company, he was running a sales, marketing, recruiting, and training business that happened to wear a roofing logo • The buyout clause his partners wrote on day one, where four of five partners could remove anyone, and how it prevented the breakup that kills most partnerships • How treating the business like a university, complete with a staff therapist, supported his belief that success is eighty percent mental and twenty percent mechanics • Why his books were not actually sellable at first, what a quality of earnings review is, and how a fractional CFO got them ready for market • The leaked group text, the surprise state audit, and the roof fall that all hit in the final two weeks before closing • The roll-up math behind private equity, why you leave equity in the platform, and how that second bite can be worth more than the first • The one thing he says every founder must accept long before they sell, that you are giving up control This one is for any home service owner who is building something they might want to sell one day, and wants to know what the buyer will actually be looking at.

Your AI Employee Costs $3 a Day. Here Is What It Can Do.

🚀 Ready to grow your home service business with AI and marketing that actually works? Book a free strategy call → https://www.contractormarketingpros.com/calendar Most contractors think AI means a chatbot that writes emails. Adam Sand is here to show you what it actually looks like when AI runs your operations — and he does it live, on screen, in under an hour, for less than $50. Adam is the CEO of Roofing Business Partner, a Diamond HubSpot Partner that has driven over $500 million in revenue for home service companies, and the creator of RoofClaw, an AI agent system that runs on physical hardware sitting on your desk. He built RoofClaw using RoofClaw — it created the website, runs the blog, manages cold outreach campaigns, confirms payments, and onboards new customers. It is not a concept. It is a working business in a box. In this episode you will learn: A full-time employee at a three-location roofing company was paid a six-figure salary to check the weather and reschedule jobs. RoofClaw replaced that function for $3 a day — and freed the employee to grow into a production manager role as the company opens a fourth location. RoofClaw is not a SaaS subscription. It is open-source software running on a physical Apple silicon machine that you own. No vendor lock-in. No company owns your memories. When a better AI model releases, you swap the API key and your entire company context comes with you. The agent learned the complete API documentation for HubSpot and Zuper, connected to both platforms, and set up two automated cron workflows in 55 minutes for under $50 in token costs — no Make.com, no Zapier, no node configuration required. Converting a training document from PDF to Markdown before giving it to AI reduces the token cost by 97.5 percent. A 40,000-token PDF becomes a 1,000-token Markdown file with the same information. This single change can make AI financially viable for small businesses that are currently burning through budget unnecessarily. The weather rescheduling workflow connects to the Open Weather API, converts job addresses to latitude and longitude, checks rain probability against your threshold, reschedules replacement jobs, texts homeowners and crews, and moves repair jobs to post-rain windows — automatically, every morning. The review generation workflow reads every email from the job thread, identifies the customer's specific roofing material and any upgrades they selected, pulls a photo from CompanyCam, writes a personalized email and a shorter text version, sends both, and sets a follow-up reminder if no review appears within 48 hours. Whisperflow voice input lets you dictate instructions to your agent at 135 words per minute with proper formatting — including corrections. Instead of typing commands, you talk to your agent the way you would talk to an employee. Password Pusher sends API keys to your agent through expiring links that never appear in the chat transcript. If your system is ever compromised, those keys cannot be extracted from the agent's memory. The GOAL framework for talking to AI: give the goal first, then the context, then the action required, then the expected output. Leading with context the way most people talk buries the actual request and causes the agent to branch off in the wrong direction and burn tokens. Working with AI requires being a good trainer, not a good leader. You cannot describe how to do something the way you would explain it to a human. You have to give the agent the business primitives — the thresholds, the ranges, the tacit knowledge behind every decision. This one is for the home service business owner who has been meaning to figure out AI for six months and wants to see exactly what it looks like in practice, not in theory.