Case Study
An Operating System for a Modern M&A Brokerage
A growing M&A brokerage was scaling lead volume across multiple listing platforms, paid search, and referral channels, but the back office still ran on disconnected spreadsheets, GoHighLevel automations, and shared inboxes. We built a unified comms layer that ingests every lead, scores it, routes it to the right broker, and tracks every NDA and marketing kit through one source of truth.
Industry
Business Brokerage
Brokers
30+ Active
Timeline
6 Weeks
Channels
SMS, Email, iMessage
The Challenge
The brokerage was scaling fast. New buyer inquiries were coming in across listing networks, paid search, and the founder's personal pipeline, but the back office still ran on a patchwork of CRM automations, spreadsheets, project boards, and inboxes. Brokers were getting buyer leads two and three days late. NDAs and confidential information memorandums lived in shared folders nobody could navigate. Marketing kits were emailed as zips that buyers never opened.
The cost was not just operational, it was reputational. A buyer who waits 48 hours to hear back on a multi-million dollar listing assumes the firm is asleep at the wheel. Internally, leadership had no way to answer the most basic question: which channel is producing closeable buyers, and which is producing tire-kickers?
What We Built
We embedded for six weeks and rebuilt the operating layer underneath the brokerage. The full system included:
A unified comms service running on Node and PostgreSQL that ingests leads from every source, scores them, and routes them to the right broker by listing match. Automated SMS, email, and iMessage sequences triggered the moment a lead enters the system. A tokenized document layer for every NDA, CIM, and marketing kit, with email-gated DRM and per-buyer engagement tracking. A broker enablement portal with structured onboarding and an institutional-knowledge chatbot that surfaces founder-level context on demand. A unified dashboard tying lead source, broker activity, document engagement, and pipeline stage into one view.
Module 1
Unified Lead Ingest
Listings, paid search, referrals, and direct inbound flow into one Node + Postgres backend.
Module 2
Lead Scoring + Routing
Automatic scoring; routed to the right broker by listing match in under 90 seconds.
Module 3
Tokenized Document Layer
Every NDA, CIM, and marketing kit behind an email-gated DRM URL. Per-buyer engagement tracked.
Module 4
Multi-Channel Sequences
SMS, email, and iMessage flows triggered the moment a lead enters the system.
Module 5
Broker Enablement Portal
Structured onboarding plus an institutional-knowledge chatbot trained on the firm's playbook.
Module 6
Unified Pipeline Dashboard
Source → NDA → LOI → close, all queryable. Channel ROI visible end-to-end.
Results
Lead-to-broker handoff dropped from a 24 to 48 hour average to under 90 seconds, with full audit trail. Marketing kit engagement is now measurable for the first time, with open and read rates running roughly 3x higher than the prior 'PDF in an email' baseline. Broker onboarding time was cut roughly in half through the structured portal curriculum and the institutional chatbot. Four disconnected systems collapsed into one source of truth across buyers, listings, NDAs, and broker activity. Channel ROI is visible end-to-end: leadership can now see, per source, how many leads convert to NDA, then to LOI, then to close.
Why This Matters
In M&A and business brokerage, the best deal-makers do not win because they have better listings. They win because they respond first, look more professional in the document handoff, and remember every detail of every conversation. Those are systems problems, not talent problems. The firms that will own the next decade of mid-market M&A are the ones building this connective tissue now, before adding more headcount.
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