§1 The 4 employee buckets — reality per bucket
5-20 emp VOLUME ONLY
- Typical cloud spend$1-15K/mo
- CEO reachability🟢 highest
- EU TAM (funded)~10K+
- Cold-email viable?YES
- $20K+ target fitbelow threshold
- Decision cycledays
Founders read their own inbox. Massive TAM. But spend mostly below $20K target. Use only for Funding Map.
20-50 emp BULLSEYE
- Typical cloud spend$15-50K/mo
- CEO reachability🟢 high
- EU TAM (funded)~5K
- Cold-email viable?YES
- $20K+ target fit✓ direct hit
- Decision cycle1-3 weeks
Sweet spot. CEO is decision maker, spend is real, TAM supports cold email cycles, no gatekeeper.
50-100 emp SECONDARY
- Typical cloud spend$50-200K/mo
- CEO reachability🟡 med (EA gatekeeper)
- EU TAM (funded)~2K
- Cold-email viable?borderline
- $20K+ target fit✓ but higher resistance
- Decision cycle3-8 weeks
Bigger spend, but CEO has gatekeeper + CTO/CFO sign-off. TAM just meets cold-email floor. Run after 20-50 emp validates.
100-500 emp SKIP
- Typical cloud spend$200K+/mo
- CEO reachability🔴 low (cold deletes)
- EU TAM (funded)~500
- Cold-email viable?NO
- $20K+ target fitovershoot
- Decision cycle90-180 days
Cold-email economics broken: TAM too small for sustainable cycles + CEO cold-rejects. Use account-based or referral, not cold email.
The TAM rule for cold email
Cold email needs ≥2,000 fresh leads per 90-day cycle to be sustainable (per Avishay 20%/month deliverability decay + audience burn). Anything smaller burns the list in 1-2 cycles. 100-500 emp bucket fails this rule.
§2 Offer × Employee-Bucket Heat-Map (CEO-primary)
Score = offer-fit × CEO-reach × TAM-multiplier. CEO is held constant as primary persona (B3 confirmed 94% mtg). TAM shown below each score in EU funded scaleups.
| Offer | 5-20 emp | 20-50 emp ★ | 50-100 emp | 100-500 emp |
|---|---|---|---|---|
| 1. Funding Map | 9.2 TAM 10K+ |
8.7 TAM 5K |
6.5 TAM 2K |
SKIP low TAM + low reach |
| 2. DXDT Audit | 4.2 spend < $5K floor |
9.0 TAM 5K |
8.8 TAM 2K |
SKIP cold email broken |
| 3. Hiring Signal | 4.5 few hire at this size |
9.1 TAM 2-3K |
8.5 TAM 1.5K |
SKIP |
| 4. AI API Tier | 2.5 PAYG fine for them |
7.5 TAM 1K (AI-only) |
8.0 TAM 800 |
SKIP |
| 5. Renewal Window | 1.5 no EDP at this size |
5.5 few have EDP |
8.3 TAM 1.8K |
7.0 TAM 500 — best fit, but cold-email fails |
| 6. Marketplace | 2.0 not on Marketplace yet |
5.0 few have listing |
7.2 TAM 600 (B2B SaaS only) |
SKIP |
| 7. Bill Teardown | 5.0 spend low |
7.5 warm-cold only |
8.0 warm-cold only |
SKIP |
Reading the matrix
The 20-50 emp column has 4 high-fit offers (Funding Map, DXDT, Hiring Signal, AI API). That's where wave 1 ships.
The 5-20 emp column only has Funding Map high (massive TAM but spend below $20K target — secondary play).
The 50-100 emp column has DXDT + Hiring + Renewal + AI API at high fit. Run after 20-50 validates.
The 100-500 emp column is structurally skipped — cold-email economics don't work even where offer-fit is high.
§3 Top 10 Winning Combos (ranked by composite × TAM-weight)
| # | Combo | Score | EU TAM | Why it wins |
|---|---|---|---|---|
| 1 | 20-50 emp × Hiring Signal × CEO | 9.1 | 2-3K | Real spend confirmed by hiring trigger. Avishay's instinct + 4.71 mtg/1k history. |
| 2 | 20-50 emp × DXDT Audit × CEO | 9.0 | 5K | Direct fit, 20%/35% real anchor case, CEO is decision maker. |
| 3 | 50-100 emp × DXDT Audit × CEO | 8.8 | 2K | Bigger spend = more value per scan. TAM just meets cold-email floor. |
| 4 | 20-50 emp × Funding Map × CEO | 8.7 | 5K | Widest CEO appeal. Apollo-credits 5.34 mtg/1k history. |
| 5 | 50-100 emp × Hiring Signal × CEO | 8.5 | 1.5K | Hiring at this size = mid-market FinOps gap. TAM tight. |
| 6 | 50-100 emp × Renewal Window × CEO | 8.3 | 1.8K | Real EDP contracts at this size. Direct partner-side margin play. |
| 7 | 50-100 emp × AI API Tier × CEO (AI cos) | 8.0 | 800 | Heavy LLM spend at this size. Narrow but high intent. |
| 8 | 50-100 emp × Bill Teardown × CEO (warm-cold) | 8.0 | N/A | Reactivation only — 8 HOT pile + late-funnel. |
| 9 | 5-20 emp × Funding Map × Founder | 9.2 | 10K+ | Massive TAM. Below $20K spend target but volume hedge play. |
| 10 | 20-50 emp × AI API Tier × CEO (AI cos) | 7.5 | 1K | AI infra scaleups at high-volume LLM tier inflection. |
§4 Wave 1 — Ship This Week
The ship-list
3 cohorts. ~1,400 leads. CEO-primary. From 4,778-row a_b_valid_contacts_ultra_strict_clean.csv. Goal: 3-4 qualified meetings in 21 days.
| Cohort | Combo | Filter from 4,778 list | Sample | Variant from messaging.html |
|---|---|---|---|---|
| A | Funding Map | CEO/Founder · 20-50 emp · funded Series A/B · EU UK+DE+NL+Nordic | 500 | Funding Map E1-B |
| B | Hiring Signal | CEO/Founder · 20-100 emp · hiring SRE/Platform/DevOps last 90d · cloud-native | 400 | Hiring Signal E1-B |
| C | DXDT Audit | CEO/Founder · 20-100 emp · BuiltWith detects BigQuery/Snowflake/Databricks/k8s | 500 | DXDT E1-B |
Sequencing rules
• 2-touch only (Day 1 + Day 6). Step-3 = noise (per B3).
• NO call ask in first email — async PDF/result gift only.
• Suppression list applied — 17 rows: CloudZone CEO + 2bcloud staff + WideOps own + Comm-IT.
• A/B CTA split 50/50 within each cohort — "Can I share more?" vs "Can I send anonymized results from a similar Series B scaleup?"
• Auto-reply on positive intent — 3-question intake then personalized 1-pager within 24hr.
Expected outcome math
1,400 sends × ~0.6% strong reply (Wideops Cloud Credits Testing benchmark) = ~8-10 strong replies · × 27.8% Strong→Meeting (B5) = ~3 meetings booked · × 73% qualified (B5) = ~2 qualified $20K+/mo meetings.
Hits Avishay's lower bound. Wave 2 (50-100 emp + Renewal + AI API) layers on to reach 3-4/mo steady state.
§5 What We Skip + Why
| Cell | Why skip |
|---|---|
| 100-500 emp × any offer | EU TAM ~500 — burns in 1 cycle. CEO cold-rejects. Use account-based not cold. |
| 5-20 emp × DXDT | Below Avishay's $5K spend floor (KB claim 47, 67). Wasted demos. |
| 5-20 emp × Renewal Window | No EDP contracts at this size. Wrong stage. |
| 5-20 emp × Marketplace | Not on Marketplace yet at this size. |
| 5-20 emp × AI API Tier | PAYG fine for them, not at committed-tier inflection. |
| Any cell × CFO | 0/2964 historical mtg per B3. Data-confirmed dead. |
| Any cell × COO | ~0.58 mtg/1k. Marginal. Skip for cold. |
| Any cell × CTO as PRIMARY | 0.53 mtg/1k vs CEO 1.71. Only as secondary fallback when CEO unreachable. |
| 20-50 emp × Marketplace | Few have Marketplace listing at this size. Niche. |
| 20-50 emp × Renewal Window | Few have EDP yet. Lower fit. |
§6 Methodology + Caveats
How scores were derived
1. Offer-fit — Avishay's stated ICP from C_02 KB + Fathom transcripts (e.g., DXDT $5K floor / $7K ideal).
2. CEO reach — B3 persona data (CEO 94% mtg) + B6 WhatsApp ("founders/CEOs respond best, technical/finance less responsive").
3. TAM — Industry benchmarks for funded EU scaleups in cloud-native archetypes. Order-of-magnitude only, not Crunchbase-precise.
4. Composite = (offer-fit × 0.4) + (CEO-reach × 0.3) + (TAM-multiplier × 0.3). Hard cutoff at TAM < 2,000 for cold-email viability.
Caveats
• TAM estimates are orders of magnitude, not Crunchbase-verified.
• "Hiring Signal" TAM depends on ATS scan coverage — currently partial (Codex script mid-build).
• DXDT scores assume Avishay's stated ICP holds — gaps in C_02 KB (SOC 2, named customers, etc.) may shift score by 0.5-1.0 once filled.
• Wideops IL Dec-Feb winning ICP (100% qual) is NOT in this matrix because IL is deprioritized — separate bounded test per B8 Exp Z.