Real results from real businesses

AI receptionist went live for after-hours calls. First week was rocky — Marcus wasn't sure customers would talk to an AI. But 19 after-hours leads came in that would have gone to voicemail. Response time dropped from 4.2 hours to 38 seconds. Revenue jumped $4,800 from emergency calls alone.

CRM started tracking every lead from first call to completed job. Marcus could finally see which leads were falling through the cracks. Added automated follow-up texts for estimates. Close rate climbed from 36% to 41%.

Fully dialed in — 47 leads/month, 43% close rate. After-hours calls alone were generating $11,200/month that he was previously losing. Hired a 5th tech to handle the overflow. Revenue up 78% from baseline.

AI receptionist took over inbound calls — Greg stopped answering the phone between jobs for the first time in 9 years. Saved roughly 6 hours/week immediately. Estimate follow-up automations launched but only had 2 weeks of data. Close rate barely moved (31% to 33%). Revenue flat at $53,200.

Automations hit their stride — every estimate now gets a follow-up text on day 3 and day 7. Close rate jumped from 33% to 42%. Greg stopped staying late to do admin work. Work hours dropped from 70 to 55. Revenue climbed to $57,800.

Close rate hit 47% on the same lead volume. Revenue reached $61,400 — only +18% but Greg was now working 50-hour weeks instead of 70. Saved 12 hours/week total. Took his family to the Outer Banks for 8 days — first real vacation in 4 years. Business ran fine without him.

CRM and estimate follow-up automations launched. Every estimate now gets a friendly text on day 3 and a follow-up on day 7. First month was messy — Kevin had to learn the CRM and import his QuickBooks contacts. But even with the learning curve, close rate jumped from 19% to 28%. AI receptionist captured 9 leads that would have gone to voicemail.

Kevin got comfortable with the CRM workflow. Close rate climbed to 37% as the follow-up sequences matured. He started seeing patterns — most of his closes were coming from the day 7 text, not day 3. Leads grew to 28/month. Revenue hit $33,100.

Close rate peaked at 43% — more than double his baseline. 39 leads/month. Revenue reached $41,200, up 68%. Kevin said the wildest part was that he didn't change his sales pitch at all — the same estimates were closing at more than double the rate just because he was following up.

Review management launched — automated text/email requests sent after every completed job. 27 new reviews in the first 30 days (more than he'd gotten in 6 years combined). Average rating: 4.9 stars. Google Maps ranking moved from page 3 to the bottom of page 1.

Hit 58 total reviews. Ranking climbed to #4 in his zip code. Leads jumped from 9/month to 19/month — all organic, zero ad spend. AI website went live with service pages and online booking. Close rate improved to 46% with CRM follow-ups.

94 total reviews. Ranking: #1 electrician in his zip code. Leads hit 31/month. Revenue up 58% to $29,400/month. Started turning down small jobs to focus on higher-margin panel upgrades and EV charger installs.

Wonderly rebuilt the website in a single session. Online booking went live immediately — 38 appointments booked through the site in the first 30 days vs. zero before. Website conversion rate jumped from 2.1% to 5.8%. Dr. Sharma cancelled the $3,200/mo web agency. Automated reminders deployed — no-show rate dropped from 22% to 14%.

AI receptionist handled after-hours booking inquiries that were previously going to voicemail. Website conversion continued climbing to 6.9% as the AI optimized page layout. No-show rate dropped further to 9%. Leads hit 48/month.

Website converting at 7.4%. 63 leads/month with 44% close rate. No-shows down to 8%. Revenue up 113% — and $3,200/mo lower in overhead from cutting the agency. Net impact even bigger than the revenue number suggests.

Imported his Excel spreadsheet into the CRM. Wonderly flagged 34 leads from the last 6 months worth re-contacting. Jake called them over 3 days — closed 11 jobs and recovered $4,700 from leads he'd written off as dead. AI receptionist went live and captured 19 new leads. Revenue jumped to $13,100.

CRM pipeline gave Jake full visibility into every lead stage — new inquiry, quoted, follow-up needed, booked, completed. Close rate climbed from 28% to 39% because nothing fell through the cracks. Review management started — went from 23 to 41 Google reviews.

Fully dialed in — 37 leads/month, 46% close rate. Google reviews hit 51. Revenue reached $20,800. Hired his first employee. For the first time Jake could see his entire business in one dashboard instead of a messy spreadsheet.

Automated reminders launched — texts go out the day before, morning of, and 1 hour before each appointment. No-show rate dropped from 31% to 18% in the first 3 weeks. Office staff stopped making manual reminder calls, saving 2 hours/day. AI receptionist captured 19 leads that would have gone to voicemail. Revenue climbed to $22,800.

No-show rate continued dropping to 11% as customers got used to the reminders. CRM automated follow-ups on missed appointments — rescheduling texts went out automatically. Close rate improved from 34% to 42%. Leads hit 54/month.

No-show rate bottomed out at 7%. Leads hit 73/month. Revenue reached $34,600 — up 80%. But the real number: DeShawn estimated he recovered $5,100/month that was previously lost to no-shows. Added truck #4 with the savings.

Wonderly launched a Meta ad campaign on February 15th targeting pool owners in Tommy's service area with spring opening specials. 14 new recurring service contracts signed in the first 3 weeks — more new customers than he'd normally get in 2 months. AI website went live with online booking. AI receptionist handled the sudden call volume. Revenue jumped to $22,400.

By March 1st, Tommy was booked out 6 weeks — first time ever. Leads hit 41/month. Had to stop running ads for 2 weeks because he couldn't take on more work. Close rate climbed to 38% with CRM follow-up on quotes. Hired technician #3.

Turned ads back on after hiring. 56 leads/month, 44% close rate. Revenue hit $31,200 — up 86%. For the first time in 11 years Tommy had to turn work away. Started a waitlist. Bought a second service van.

AI receptionist went live — response time dropped from 7.1 hours to 27 seconds. Estimate follow-up automations launched: every estimate now gets a friendly text on day 3 ('Still thinking about that lawn estimate? Happy to answer any questions') and day 7 ('Just following up — want me to get you on the schedule?'). Close rate jumped from 17% to 31% in the first month. Brian was shocked.

Close rate climbed to 44% as the follow-up sequences refined. Leads increased to 48/month from the AI receptionist capturing calls Brian used to miss. Revenue hit $21,200. Brian stopped staying up until 10pm doing admin — the CRM handled it.

Close rate peaked at 51% — triple his baseline. 67 leads/month. Revenue hit $28,400, up 125%. Added crew #3 and crew #4. Brian finally had time to take on landscape design jobs, which had been on his goal list for 3 years.

AI receptionist went live. Response time dropped from 3.6 hours to 19 seconds. The AI answers, gets the customer's move date, origin/destination, and approximate inventory, then texts Carlos the details and schedules a quote call within the hour. Close rate jumped from 31% to 44% in the first month — purely from being first to respond. Leads captured went from 19 to 33.

CRM automated follow-ups on every quote — day 1 confirmation, day 3 check-in if not booked. Close rate climbed to 52%. Leads hit 42/month. Carlos stopped using Google Sheets entirely. Hired 2 more movers.

51 leads/month, 58% close rate. Revenue hit $61,200 — up 115%. Added truck #3. Booked out 3 weeks in advance for the first time ever. Carlos stopped jumping on moves himself and focused on sales and operations.

Hailstorm hit Dallas on April 12th. Wonderly had a targeted Meta ad campaign live within 48 hours — geo-fenced to the hardest-hit zip codes with hail damage messaging. 31 leads came in that first month. Randy had never seen that kind of volume. AI receptionist handled overflow calls while his crews were on roofs.

CRM dialed in with automated follow-ups on every estimate. Close rate held steady at 44% — Randy was already a great closer, he just needed more at-bats. Leads climbed to 49 as the ad campaign optimized. Hired crew #3.

61 leads/month. Revenue hit $38,600 — up 172% from his baseline. Hired crew #4. For the first time in 22 years he had a backlog of work booked out 5 weeks. Kept the ads running even after storm season because the pipeline was too good to turn off.

AI website rebuilt and launched with online booking. Site conversion jumped from 1.8% to 4.1% in the first 30 days. Automated reminders deployed — no-show rate dropped from 28% to 16%. Meta ads also launched targeting wellness-interested women in Portland. Ads generated 8 leads but only 1 converted — early signs the channel wasn't right.

Meta ads continued for 2 more weeks but lead quality stayed low — clicks were cheap but weren't converting. Megan and her account manager agreed to pause ads. Meanwhile, the website was performing: conversion rate hit 5.4%, organic leads growing. No-show rate dropped to 9%. Revenue climbed to $29,800 with zero ad spend.

Ads officially off. Website converting at 6.2%. Organic leads hit 34/month — triple her baseline — driven entirely by better SEO from the new site and word of mouth. No-show rate bottomed out at 6%. Revenue reached $34,900, up 41%. All growth came from the website and reminders, not ads.