Live system · Restaurants

Bring guests back a third and fourth time — automatically.

Restaurants pour money into Google Ads and forget the customer already inside the door. A birthday-club, review flow, and win-back sequence pay for themselves in a month.

48h
Time to live
2
Systems included
None
Code required
$99
One-time price
The revenue leak

Where restaurants lose jobs — and what plugs it.

Each row is a leak we see in almost every shop, paired with the workflow that closes it.

TodayMissed calls go to voicemailWith the systemAI answers, qualifies, and books
TodayQuotes go quiet after one emailWith the system7-touch follow-up runs automatically
TodayReviews asked for once a quarterWith the systemEvery completed restaurant job triggers an ask
TodayMarketing copy written at 11pmWith the systemIndustry-tuned prompts write it in minutes
What you get

Outcomes, not prompts.

  • Birthday and anniversary email/SMS clubs that fill slow nights
  • AI-written weekly specials copy for social + email
  • Review-request flow triggered by table turn
  • Win-back sequences for guests who haven't visited in 60 days
Lead inAI qualifyBookFollow upReview
Setup

Live in a weekend, in three moves.

No developer, no agency onboarding call, no migration.

Step 01

Import the blueprints

One-click Zapier and Make imports connect to the tools you already pay for.

Step 02

Drop in your details

Your service area, pricing bands, and restaurants vocabulary go into the prompt library once.

Step 03

Turn it on

Watch the first missed call get answered, qualified, and booked while you're on a job.

Cost of doing nothing

What the leak costs restaurants every month

Run the arithmetic against your own numbers — leads per month, close rate, average value. The gap between what you capture and what you could is the whole business case.

Illustrative build — modelled scenario, not a named client
Leads that never get a second touch
MostFollow-up is the first thing restaurants drop on a busy week.
Response time that wins the job
< 5 minAfter that, the buyer has already contacted someone else.
Time spent on repeatable writing
3–6 hrs/wkCopy, replies, and reminders that a system can produce.
Cost to plug it
$99One-time, own it outright, no retainer.
A week in the life

The same week, run two ways

Left is how the week goes for most restaurants. Right is the same week with the system running underneath it.

Without the system

  1. Leads answered whenever there is a gap in the day
  2. Follow-up depends on memory
  3. Reviews requested occasionally, if at all
  4. Copy written late at night
  5. Past customers never contacted again
  6. Reporting done by feel

With the system

  1. Every lead answered in under a minute, day or night
  2. Multi-touch follow-up runs and pauses itself
  3. Review requests fire on job completion
  4. Copy generated in your voice in minutes
  5. Reactivation sequences work the back catalogue
  6. A weekly report shows exactly what was recovered
Illustrative build

A neighbourhood restaurant fills slow weeknights from its own guest list

Modelled on a 70-cover restaurant with 2,400 opted-in guest emails and a $46 average cover, running two thin nights a week.

Illustrative build — modelled scenario, not a named client

The starting situation

Marketing means posting a photo when someone remembers, and paid reach on social is a rounding error. Tuesday and Wednesday run at half capacity while the guest list — people who already liked the food enough to hand over an email — hears from the restaurant maybe twice a year.

What was installed

  • AI Content Engine producing a weekly specials email and matching social copy in the house voice
  • Birthday and anniversary club sending automatically, targeted at the slow nights
  • 60-day win-back sequence for guests who stopped visiting
  • Review request triggered on table turn rather than asked verbally

Before and after

Modelled before and after figures for A neighbourhood restaurant fills slow weeknights from its own guest list
MeasureBeforeAfter
Guest emails on file2,400 (unused)2,400 (worked weekly)
Marketing sends / month0–14 + automations
Content production time2–3 hrs / week~20 min / week
Incremental covers on slow nights~70 / month
Average cover$46$46

The arithmetic

  1. 2,400 contacts × a 2.9% redemption across the month = about 70 incremental covers.
  2. 70 × $46 = roughly $3,220 of added revenue on nights that were already staffed.
  3. Because the labour and rent are fixed on those nights, most of that lands as margin.
Payback

The $79 system is covered by two extra tables.

Verdict: The cheapest guests to bring back are the ones who already came. A content engine is what makes contacting them weekly survivable.

2
Systems in this bundle
48h
Typical time to live
7
Follow-up touches automated
0
Lines of code

Built specifically for restaurants — the prompts, objections, and job vocabulary are already tuned.

Guarantees and supported integrations

  • 14-day refundInstall it, run it, and if it doesn't fit, get your money back.
  • Lifetime updatesEvery revision of a system you own ships to you, free.
  • No lock-inBlueprints run on your own accounts. Cancel and they keep working.
  • Secure checkoutPayments handled by the processor. We never store card details.

Works with the stack you already pay for

  • Zapier
  • Make
  • HubSpot
  • GoHighLevel
  • Pipedrive
  • Twilio
  • Cal.com
  • Calendly
  • Google Workspace
  • Notion
  • Airtable
  • OpenPhone

Integration partners, not customer logos. We publish client names only with permission — none yet, so none shown.

Free download

Free: the Restaurants AI Revenue Leak Checklist

12 checks tuned for restaurants. Find the leak before you buy anything.

No spam. One email with the checklist, then only when we ship a new system.

Definitions

Key terms for restaurants

Browse the full AI systems glossary
Sources & methodology

How the numbers on this page are measured

Every metric quoted for the Restaurants bundle has a stated definition, a formula, and an assumption you can test against your own books. Last reviewed 2026-08-05.

Metric definitions, formulas, and assumptions
MetricDefinitionHow it's calculatedAssumption
Speed to leadThe elapsed time between a prospect raising their hand (form, call, DM) and the first substantive reply reaching them.first_reply_timestamp − inbound_timestamp, measured per lead and reported as a median.An automated reply counts only if it asks a qualifying question or offers a booking action — an autoresponder that says 'we got your message' is not a reply.
Missed-call recovery rateThe share of unanswered inbound calls that are converted into a booked job through an automated text-back conversation.booked_jobs_from_missed_calls ÷ total_missed_calls, per calendar month.Requires a phone system that reports missed calls with caller ID, and a jurisdiction where transactional SMS reply to an inbound caller is permitted.
Booked rateThe share of qualified conversations that end with a confirmed appointment on the calendar.confirmed_appointments ÷ qualified_conversations.Qualification uses the same three questions before and after install, so the denominator is comparable.
Review velocityNew public reviews earned per month across your primary review profile.new_reviews_this_month, counted on the profile itself rather than on requests sent.Requests are sent to every completed job with no filtering or gating by expected sentiment.
Cost per booked jobAll-in monthly cost of the system divided by the jobs it books.(system_cost + tool_subscriptions) ÷ booked_jobs_attributable_to_the_system.Only jobs where the system made first contact are attributed; jobs from referral or repeat customers are excluded.

Sources

What this is — and isn't

Figures on this page are modelled, not audited client results. Inputs (call volume, ticket size, close rate) are stated next to every number so you can substitute your own. We do not publish named-client outcomes, aggregate ratings, or testimonials we cannot evidence.

Full modelling rules, attribution rules, and the correction policy are on our methodology page.

FAQ

Common questions from restaurants

Other industries

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