April 2026 — $40–600M Revenue Companies — Internal

Your pipeline data tells the story. 572 companies in the $40-600M band, 1,714 decision-maker contacts, and 98% actively hiring — which means they're growing, have budget, and are feeling operational pain.

Vertical concentration:

Buyer map — multi-thread required:

1. Account research & scoring. Use Allometry's own platform to score target accounts. Pull hiring data, geographic footprint, competitive landscape, and public financial signals. Prioritize accounts with active expansion + hiring in field roles. Build a 1-page account brief before outreach.
2. Multi-thread outbound. Hit 3+ contacts per account simultaneously: VP Ops (pain owner), CFO (budget holder), VP Sales (champion). Personalized email referencing their specific expansion activity. LinkedIn engagement on their company content. Goal: at least one reply per account.
3. Executive discovery (30 min). Qualify on: annual deployment capex, number of expansion decisions per quarter, worst deployment failure story and its dollar impact, current process for go/no-go decisions. If expansion decisions are made in Excel or by committee gut feel — they're qualified.
4. Technical demo on their data (45 min). Pull their actual service area. Score a recent deployment decision retroactively. Show them the EV comparison: here's what you deployed vs. what the data would have recommended. Quantify the delta. This is the moment the deal becomes real.
5. Proposal & business case (1 week). Generate a deployment intelligence business case: projected margin improvement, bad deployments avoided per year, quoting acceleration. Tie ROI to their specific numbers. Frame as 10-20x ROI on $100K investment.
6. Negotiation & close. Land with 2-4 loops at $100K+ ACV. Annual contract. Design partner pricing for first 10 enterprise logos (up to 30% below list). Expansion to full OS baked into the commercial terms with pre-negotiated rates.

Enterprise is account-based, not volume-based. You're working 50-75 accounts at a time, not 500. Every touch is personalized. Every account has a plan.

Channel mix for enterprise:

Enterprise deals need a deployment-first commercial structure. The product maps to loops, and the pricing maps to deployment complexity.

Revenue math: 3-5 enterprise closes per quarter at $100K ACV = $300-500K ARR per quarter. 12 enterprise customers in year 1 = $1.2M ARR from enterprise alone. Blended with SMB motion, total year 1 target: $1.5-2M ARR.

Conversion assumptions: 40% of Tier 1 accounts take a meeting (high personalization). 35-40% of meetings advance to proposal. 30-40% of proposals close. Average deal cycle: 6-12 weeks. Faster than typical enterprise because the buyer is an operator, not IT — and the ROI case is concrete (avoided bad deployments).

• $100K is 0.09% of avg target revenue ($115M). This is a rounding error for companies that routinely commit $500K-$2M per bad deployment. The ROI case practically writes itself.
• 572 accounts already identified and enriched. Not a theoretical TAM — these are real companies with real contacts, actively hiring, in the right verticals. Pipeline exists on day one.
• 1,714 VP+ contacts across the list. 675 VPs, 600 Directors, 241 C-suite. These are the people who make deployment decisions and have budget authority. Multi-threading is built into the data.
• Hiring = growth = pain = budget. 98% of the list is actively hiring. Companies adding field techs and project managers are companies expanding deployments — exactly when they need deployment intelligence.
• No incumbent owns this. CRMs don't score locations. ERPs don't model deployment ROI. FSMs don't prevent bad deployments. The category is empty and these companies know it — they just didn't know a solution existed.