📊 Sales Pipeline
Full funnel view: automation plan, DM leads, and sales call data — all in one place.
🚨
The Problem Today
Our current sales tracking creates friction, loses data, and gives us no visibility into what's actually working.
📝
Manual Data Entry Everywhere
Sales reps enter data in 3–4 places: iClosed, HubSpot, spreadsheets, and Slack. Errors and missing info are inevitable.
🔌
Fragile Automations
Our current connector between iClosed and HubSpot breaks every time questionnaire questions change — and nobody notices until data is already lost.
🎯
No Source Attribution
We can't reliably tell which channels (ads, DMs, organic, referral) are actually producing our best calls and closes.
📉
No Unified Visibility
Show rates, close rates, and revenue aren't tracked in one place. Nobody has a clear picture of what's working.
🗓️
Bad Bookings Waste Time
Without pre-qualification scoring, unqualified leads get on the calendar and waste 30+ minutes of a closer's time.
📞
Call Outcomes Go Unlogged
After a call, outcomes rarely get logged properly — making it impossible to track real close rates and lost reasons.
⚡
The New System
One input. Everything else is automated. Sales reps update iClosed — the system handles the rest.
📋 iClosed — Single Source of Truth
↓
🧠 AI Engine — Parses everything intelligently
↓
📊 HubSpot
Deals, contacts, fields — all auto-populated
📈 Real-Time Dashboard
Visibility for leadership
🎯 Lead Scoring
Flags bad bookings before they happen
✅ Sales reps update ONE place (iClosed). Everything else is automated.
📏
What We Track — The 7 Key Metrics
Every metric tracked automatically. No manual tagging, no spreadsheets, no guesswork.
1
Source
Where every lead came from — ads, IG DMs, organic, referral. Auto-attributed, not manually tagged.
2
Show Rate
% of booked calls that actually show up. Tracked automatically — no manual logging needed.
3
Close Rate
% of showed calls that close. Broken down by rep, by offer, and by source.
4
Close Lost Reason
Why deals don't close. AI-extracted from call recordings in Phase 2 — no manual entry.
5
Product Purchased
Which offer closed — Accelerator, Done-For-You, SamCart. Auto-detected from iClosed event type.
6
$ Amount
Deal value tracked per close, rolled up daily, weekly, and monthly.
7
Questionnaire Answers
All 45 pre-call answers parsed intelligently by AI. Questions can change freely — AI adapts automatically.
🗺️
The 3-Phase Rollout
A clear, phased approach. Each phase builds on the last. Minimal disruption to the sales team.
This Week — March 17–21
- iClosed data automatically flows to HubSpot — deals, contacts, and all fields populated without lifting a finger
- Replaces the fragile automation that breaks every time questionnaire questions change
- Sales reps only update iClosed. HubSpot gets populated automatically.
- All 7 data points tracked in real-time on our dashboard
What sales team needs to do: Start marking all outcomes in iClosed — showed, no-show, closed, or lost.
March 24–28
- Connect Fathom call recordings to our AI system
- AI reads call transcripts and auto-extracts: outcome, product pitched, deal value, and close lost reason
- Sales reps don't have to log call outcomes manually — AI does it from the recording
What sales team needs to do: Nothing new. Just keep recording calls in Fathom as usual.
March 31 – April 4
- Analyze questionnaire answers + call outcomes to build a predictive scoring model
- Which answers predict a close? Which predict a no-show?
- Flag low-quality bookings before they hit the calendar
- Feed insights back to marketing — which channels produce the best callers
- Feed insights to Ophelia — which questions to add, remove, or change
What sales team needs to do: Review AI-flagged bookings and confirm or override scores for the first 2 weeks to train the model.
🔄
What Changes for the Sales Team
Less work, better data, smarter decisions — at every phase.
| ❌ Today | 🟡 After Phase 1 | ✅ After Phase 3 |
|---|
| Enter data in 3–4 places | Enter data in 1 place (iClosed) | Enter data in 1 place |
| Questions change → automation breaks → data lost | Questions change → AI adapts automatically | AI adapts automatically |
| No idea which sources produce best calls | Source attribution on every booking | AI scores every booking before the call |
| Bad bookings waste 30+ min each | Same | AI flags weak bookings — cancel or reschedule before wasting time |
| No easy way to see show/close rates | Real-time dashboard | Dashboard + predictive insights |
🟢
What's Already Live
We've already built the foundation. Here's what's working today.
✅ iClosed connected — all 7 event triggers active and receiving data
✅ All booking, outcome, and contact data flowing to our system in real time
✅ 79 historical events already captured and parsed
✅ brian-os.com dashboard showing live pipeline data
✅ DM-to-booking attribution possible — matching IG/X leads to iClosed contacts
🚀
Next Steps
Here's what needs to happen this week to stay on track.
Sales team starts using iClosed as single source of truth for outcomes (Bryan + Seth confirmed ✅)
Nate/Ophelia audit source accuracy on iClosed event types
We deploy Phase 1 automation (this week)
Monday review with Ophelia + Sam to align on Phase 2 + 3