Largest Displacement Bucket · Deep Dive
56% of MA's deals come from companies running on Excel or homegrown tools. Not from competitors.
Last updated 2026-04-22
97 deals
Excel as current solution
63 deals
Internal tools as current solution
56%
Combined share
125 deals
All other tools combined
7 candidates
First-pass detector flags
2,000–3,000
Projected at full sweep
Most outbound playbooks target companies on a competitor platform — 'who's using X so we can displace X.' But MA's actual deal data says the majority of winnable accounts aren't on any LOS. They're on spreadsheets. That's a completely different message — 'stop running your mortgage business out of Excel' — and a completely different qualification pattern (absence of tech stack, not presence).
3 workstreams
Joins Prospects tab (Lender Type column from LenderType.gs) with Tech Stack Results (this project's output). Flags anyone with no detected LOS + confirmed PRIVATE/MIC/FUND + HIGH/MEDIUM lender confidence. First pass: 7 candidates. Rebuilds idempotently.
PRIVATE/RETAIL/BROKER/WHOLESALE/COMMERCIAL/MIXED scoring runs on 10-min trigger. Provides the 'confirmed private lender' signal the Spreadsheet Shop Detector joins on.
Homepage + /careers + /about + /brokers + /login + /partners. If all 6 surfaces return zero system keyword matches AND Lender Type = PRIVATE → candidate.
Re-run tagSpreadsheetShops tomorrow once classifiers are 50%+ done — expect hundreds of candidates
Author a distinct pain library for spreadsheet shops: 'first LOS', 'manual investor reporting', 'single point of failure', 'no audit trail'
Treat as the volume tier of outbound — distinct cadence from Encompass/TMO displacement
Phase 2 enhancement: scrape for confirming signals like 'manual underwriting', 'Google Sheets', 'custom tracker' on prospect sites