TAM Precision Engine
Deploy an automated total-addressable-market pipeline that scores thousands of companies across multiple dimensions and surfaces the accounts most likely to convert — before a single outreach message is sent.
4,542
Companies scored
53
Tier 1 accounts
1,451
Signals matched
1.2%
Precision rate
The Problem
Most sales teams work from a bought list. Name, title, company, email. Maybe revenue range. That is enough to send cold emails. It is not enough to send the right cold emails.
When you cold-blast 10,000 contacts without signal or dimensional scoring, you get a 0.2% reply rate and a poisoned domain. The problem is not outreach — it is targeting. You need precision before volume.
The Scoring Pipeline
The TAM engine scores every company across 5 dimensions. Each dimension produces a weighted score. The composite determines tier placement.
Revenue & Scale
Company revenue, employee count, fleet size, facility footprint. Filters out companies too small or too large for the solution.
Tech Stack Signals
What they already use — TMS, WMS, ERP, visibility tools. Indicates readiness and competitive overlap.
Growth Indicators
Hiring patterns, funding events, expansion announcements, M&A activity. Companies in motion buy faster.
Freight Type Alignment
LTL, FTL, intermodal, drayage, last-mile. Matches the solution to the actual freight problem.
Engagement History
Prior interactions, content engagement, event attendance, website visits. Warm signals compound.
Tier Stratification
53 companies (1.2%)
High-composite accounts with active signals and strong dimensional fit. Receive personalized, research-backed outreach.
~400 companies (8.8%)
Good dimensional fit but fewer active signals. Semi-personalized sequences with targeted messaging.
~4,000 companies (90%)
In-market but low signal density. Nurture campaigns, content distribution, event invitations.
Signal Sources
The engine continuously monitors 6 signal sources and matches events to TAM companies in real time:
What This Means for Pipeline
Precision targeting changes the economics of outbound. Instead of blasting 10,000 contacts and hoping for 20 replies, you research 53 accounts deeply and earn 8–12 qualified conversations.
Before
10K contacts → 20 replies → 3 meetings → 0.03% conversion
After
53 Tier 1 → 12 conversations → 8 meetings → 15% conversion
Commercial consequence
This is not just list hygiene. It changes where the team spends time, how quickly priority accounts become real conversations, and whether outbound feels like precision or spam.
Less waste
Operators stop spending cycles on accounts that look plausible but will not move.
Better first conversations
Outreach starts with timing and context already attached, which improves the quality of the first meeting.
A stronger revenue base
The rest of the GTM system gets more efficient because the target set was worth the effort in the first place.
Keep reading
The TAM-First Prospecting Engine
Deploy an automated, total-addressable-market driven prospecting engine. Multi-dimensional scoring, signal enrichment, and precision account selection.
Read PlaybookThe Freight Tech GTM Playbook
The definitive guide to taking logistics software to market. Sequencing trust, TAM focus, proof, and follow-up so the right buyers move faster.
Read TeardownWhy Your FreightTech Website Is Not Converting
A harsh look at why transportation software sites fail. Breaking down the trust deficit, ambiguous messaging, and poor demo routing.
ReadWant a TAM engine for your pipeline?
We build precision targeting systems that eliminate the guesswork from prospecting and give outbound a cleaner starting point.
Start a Sprint