Demonstration Build · Fitness Coaching Vertical

An outbound engine built for a $5K men's fitness coach.

End-to-end cold email system with AI enrichment, autonomous reply handling, and booking automation. Designed to move a 1-on-1 coach from inconsistent Instagram DMs to a predictable pipeline of 30+ qualified calls per month.

TARGET OUTPUT

30/mo

qualified calls booked

SEND VOLUME

6k/mo

emails across 6 inboxes

AI AUTOMATION

~90%

replies handled autonomously

COACH TIME

0hrs

manual outbound per week

01 — THE BRIEF

Who the system was designed for.

Every CalendFlow build starts from a narrow ICP. Vague targeting produces vague results. For this demo, we chose a persona that represents the coaches we actively sell into.

CLIENT ARCHETYPE

Online fitness coach, 1-on-1, specializing in body recomposition for men 30–50.

OFFER

$5,000 for a 90-day program — weekly 1:1 coaching, custom training & nutrition, WhatsApp access.

CURRENT STATE (PRE-SYSTEM)

Daily Instagram posting. ~2 inbound DMs/week. Closing roughly 1 client/month.

OUTBOUND ICP

US-based men 30–50, exec titles, $150K+ income, 10+ year tenure (time-starved, fitness lapsed).

02 — SYSTEM ARCHITECTURE

Five components, one pipeline.

The system is modular. Each component is self-contained, replaceable, and instrumented with monitoring. If one piece fails, the pipeline degrades gracefully instead of breaking entirely.

◐

Sourcing

LinkedIn + Apify actors

→

◓

Enrichment

n8n · GPT-4 · MillionVerifier

→

◑

Delivery

Instantly · 6 warmed inboxes

◒

Reply AI

Claude classifier + router

→

●

Booking

Cal.com → Google Calendar

→

◉

Pipeline

GoHighLevel CRM + Slack

enrichment.workflow.json — Active

Editor

Live

Logs

TRIGGER

readCsv

2,140 rows loaded

HTTP

findEmail

Anymailfinder API

gpt-personalize

Custom first line

FILTER

scoreGate≥7

→ Google Sheet

03 — ENRICHMENT, SHOWN

From raw scrape to outbound-ready.

A single lead goes through 6 processing steps in under 4 seconds. The output on the right is what actually hits the send queue — personalized, scored, and ready.

// INPUT — Raw Scrape

nameDavid Chen

titleVP of Engineering

companyRiveter Labs

linkedin/in/davidchen-eng

email—

personalization—

fit_score—

→

// OUTPUT — Enriched Record

nameDavid Chen

titleVP of Engineering

companyRiveter Labs

emaild.chen@riveterlabs.com ✓

personalization9 years at Riveter — rare in a space where most engineers jump every 2.

inferred_painLong tenure + exec title → time-starved, fitness likely lapsed

fit_score8.5 / 10 ✓

04 — REPLY AUTOMATION

An AI layer that reads every reply.

The classifier runs on every inbound reply and routes it based on intent. Hot leads get an immediate booking link. Warm leads get a drafted response queued for review. Nothing waits for a human to be awake.

"Yeah I'd be open to a chat. What times do you have this week?"

HOT

Auto-send Cal.com booking link with a custom 1-line opener. SMS notification to coach.

"Interesting — how does this actually work? What's the time commitment?"

WARM

AI drafts reply referencing their specific question, queues in Gmail for coach to review and send.

"Please remove me from this list. Not interested."

COLD

Auto-unsubscribes across all sequences. Marks Lost — Not ICP in CRM. No further contact.

"I'm out of office until May 1st. Will respond then."

OOO

Pauses sequence for 14 days, then re-engages with a fresh touch referencing their return.

05 — PIPELINE VIEW

Every lead lives in one dashboard.

Bookings automatically flow into GoHighLevel. Stages move based on real signals — call attended, proposal sent, closed-won. The coach opens one tab to see everything in motion.

Booked

David Chen

Riveter · Tue 2:00pm

Marcus Hill

Equinox · Wed 10am

Ryan Alvarez

Stripe · Thu 1pm

James Park

Delta · Fri 9am

Tom Ruiz

Notion · Fri 3pm

Attended

Kevin Shaw

Lattice

Ben Ortiz

Square

Andre Lim

Ramp

Proposal

Paul Kenney

$5,000 · Sent Mon

Chris Owens

$5,000 · Sent Tue

Closed

Will Torres

+$5,000

Ethan Walsh

+$5,000

06 — MODELED OUTPUT

What the funnel is projected to produce.

Based on industry-standard conversion benchmarks for B2C high-ticket coaching outbound. Real campaign performance will deviate; these are the design targets the system is engineered around.

Monthly Funnel (Target)

6,000 sends / month

Emails sent6,000

Opens2,700

Replies240

Calls booked32

Closed clients3–4

Economics

$250 / qualified call

          One-time setup
          Discussed on call
        

          Typical volume
          8–15 calls / mo
        

          Ongoing (pay-per-result)
          $2,000 – $3,750 / mo
        

          Revenue at 1 close (~20% of 10 calls)
          $5,000
        

          Revenue at 2 closes
          $10,000
        

          Upside — coach keeps
          ~$6K – $8K / mo net
        

PAY-PER-RESULT
One-time setup fee, then no retainer — coach only pays when a qualified prospect hits their calendar. Refund guarantee on no-show rate above 30%.

Transparency note
This is a demonstration build — a complete working system engineered for a representative ICP, not a retrospective of a paid engagement. Conversion numbers shown are modeled targets based on B2B cold email benchmarks (Instantly, Lemlist, Smartlead published data: 2–8% reply rate, 10–20% positive reply → call rate, 10–20% call-to-close). Actual client campaigns will vary based on offer, market, and timing. CalendFlow is currently onboarding founding clients; full case-study data will be published Q3 2026.