4.9 ★
rating across 68 reviews
We start on LinkedIn from your own profile this week, divorce and family-law firms first, while the new email infrastructure finishes warming. For every prospect we pull real public data on the revenue they lose to missed and after-hours calls, turn it into a defensible number, and wrap it in a personalized report. Here is who we target, the exact Sales Nav filters, a live example, the three offers, and the plan.
Every one of these is real and reachable today, most of it free. Together they let us see who a local business is, how leads reach it, and where those leads fall through, all from public records.
Pull every dental, law, HVAC, insurance or med-spa business in a zip, with phone, website, hours, rating and review count.
Reviews that mention "no answer", "couldn't get through", "left a voicemail" or "on hold".
Listed hours, whether online booking exists, a contact form, and any after-hours coverage.
The booking, CRM, chat or answering software they already run on their site.
Who is hiring a receptionist, front-desk or intake coordinator right now.
Owner email and direct line once a business clears the ICP.
None of this is a template with a name dropped in. We chain the sources together so every figure traces back to a real record, then size the leak in the units a local business actually feels: calls missed, leads lost, jobs that never get booked.
Phone, hours, category, rating and review count for the exact business.
Voicemail and "no answer" mentions, no online booking, limited hours.
Monthly inbound calls × percent missed × close rate × average job value = revenue lost each month.
A 7-in-1 AI receptionist answers calls, texts and DMs 24/7 and books the job, recovering most of that leak.
We ran the engine on Hutson Law Firm in Phoenix straight from public Google records. Nothing here is invented. Any prospect on the list gets the same treatment.
The public Google listing gives us a small, well-reviewed firm with a single posted phone line, no after-hours answering service, and no live online booking path. The larger Phoenix injury firms next to them already run 24/7 answering services; this one does not. For a personal-injury practice, every inbound call is a potential case, and a missed one walks straight to a competitor:
Put together, model roughly 80 inbound calls a month, about 30 percent missed (the industry norm, heavier after hours), a 30 percent intake-to-signed rate on injury calls, at a conservative $3,000 case value: that points to about US$20,000 to $45,000 a month in revenue lost to calls that were never answered. The 7-in-1 AI receptionist answers all of them, day or night, and books the consult.
A spread across the market, from dental to veterinary. Each one shows what the engine surfaces: the size of the niche, where the calls come from, and the revenue a missed one costs.
78,232 in range · missed call = lost patient
37,233 in range · missed intake = thousands
33,488 in range · missed emergency = lost job
30,566 in range · missed quote = lost policy
~8,800 in range · high-ticket, DM-heavy
~17,780 in range · appointment-driven
Universe counts are from US Census business data; the leak figures here are modeled from public review and call-volume patterns and per-niche economics. We run the exact Google Maps pull per business, as with Hutson Law Firm above, before any outreach.
Same ICP, same data engine behind them, three different doors in. All three launch in parallel, then we pour volume into the winner.
For solution-aware owners. Skip the magnet, get them watching the AI receptionist answer a live call and book an appointment on their kind of business. Fastest path to a booked demo.
The "that's our actual data" play. We send the personalized missed-revenue report first, built from their real Google data, then book the call. Highest perceived effort, strongest hook.
Lowest friction. They reply with one word, then we audit their last month of missed calls or run a short receptionist trial at no cost. Lets the product sell itself.
We detect a prospect's current setup from their site and reviews, then name it in the email. Here is what a local business pays today to catch its calls, and where each option still leaks.
An offsite team answers the phone from a script and takes a message or warm-transfers.
A receptionist on payroll covering the phone during business hours.
An automated menu that routes callers between options before anyone picks up.
AI that answers the phone, billed by the minute.
A chat box on the website that handles typed questions.
The owner or staff catch what they can on a personal phone between jobs.
Every one of these leaves the same gap. The 7-in-1 AI receptionist answers calls, texts and DMs and books the appointment 24/7, for a fraction of the cost of any option above, and unlike all of them it never sends a lead to voicemail.
Two angles that open doors a standard sequence misses.
One owner, many locations, and the leak multiplies with every site. A group running five or ten offices loses the same missed-call revenue at each one. We land a single owner, prove it on one location, then expand the AI receptionist across the whole group, the cleanest path to a larger, stickier account.
We reach out exactly when inbound spikes and calls start getting dropped: HVAC in a heatwave, roofers after a storm, accountants in tax season, law firms after a local incident. The pain is at its peak in that window, which is precisely when an owner will take the call about catching every lead.
We target US local-service businesses that live or die on inbound calls. Within that, three tiers by where the missed-call pain bites hardest and the dollar per lead is highest.
Dental, personal-injury and divorce law, and med spa. High dollar per lead, appointment-driven, and the owner makes the call. A single recovered lead pays for the service many times over.
Plumbing and HVAC, insurance agencies, and veterinary. Urgent or quote-driven inbound where a missed call goes straight to a competitor who picked up first.
Broader home and trades plus multi-location groups: roofing, electrical, auto, and franchises. Steady call volume, lower urgency per account, and expand-friendly across sites.
We launch on LinkedIn from your own profile while the email infrastructure warms, and the first test targets divorce and family-law firms. These are the precise Sales Navigator filters that surface the owners who feel the missed-call pain, and screen out the office managers and the big firms where a partner is not the buyer.
LinkedIn leads the launch from your own profile while the new email inboxes finish warming, all roads lead to a 15-minute demo, and a call only counts as qualified when it clears five criteria.
$250 per qualified call · capped at 7 a cycle (Minimum package)
You only pay the $250 when a call actually shows up and clears all five criteria. A no-show or a sub-15-minute call is never billed, and the Minimum package caps it at seven calls a cycle so the spend is predictable.
The engine and the offers are built. LinkedIn outreach begins this week from your own profile, divorce and family-law firms first; the new email infrastructure joins the week of 14 July once warmup completes. Here is what happens next.