# CCD — Master Findings Report
**Built: 2026-05-12 evening session**
**Source: 21-year lifetime dataset (44,282 rows, ~17K contracts, $32.4M lifetime revenue, 7,827 unique customer addresses)**

---

## EXECUTIVE SUMMARY

Twenty-five findings, organized by business action. Highlights:

1. **Facebook is the channel.** Volume +1,165%, ticket +97%, revenue/inquiry +88% over 21 years. Spend more here.
2. **You have a $1.64M outstanding-balance problem,** concentrated in one salesperson (Adam Valendra: 38% bad-debt rate).
3. **$3.95M of dormant customer relationships are sitting in a callable list** — 497 high-LTV customers, all reachable, 5+ years cold.
4. **CCD is structurally one-and-done.** Only 4.5% of customers ever repeat in 21 years. Plan economics for first-job payback.
5. **Lead routing by item type can move closes a lot:** Kevin Cerulo waterproofs at $14K/ticket; Robert Clark owns Basement Systems.

---

## 1 · MARKETING + LEAD ACQUISITION

### F-1.1 — Lead-Source Decay (2014 → 2026)
- 🔴 **DYING:** Clipper Print Ad (volume -50%+, close rate -57%)
- 🟢 **EXPLOSIVE:** **Facebook** went from 18 → 232 inquiries/yr (+1,165%), close rate 19% → 28%, ticket $2.4K → $4.7K. **Revenue/inquiry +88%.**
- 🟢 Growing: Internet, Referral (+60% volume, ticket +61%), Previous Customer (+83% volume).
- 🟡 Stable: Rubberstone-Clipper, Basement Systems, Durham Fair.

**Action:** Reallocate Clipper Print → Facebook by 50% next quarter. Track CAC delta.

### F-1.2 — Source × Lead Quality Migration
- **28.5% of Internet-acquired customers return as "Previous Customer"** — digital wins on brand-loyalty downstream
- 60% of Referral acquisitions come back via Referral (referrers beget referrers)
- 80% of TV customers return via TV (high source stickiness)
- 51.5% of Internet customers return via Internet again (search-search loop)

**Action:** Internet looks like the most "compounding" channel — fuel it.

### F-1.3 — Bad-Debt Rate by Source
- 🔴 Facebook leads: 18.8% have outstanding balance (highest among growth channels)
- 🔴 Direct Advantage: 17.9%
- 🟢 Clipper Print Ad: only 3.6% bad debt (older customers pay)
- Republican American Newspaper: 0% bad debt

**Action:** Tighten financing/deposit policies on Facebook + Direct Advantage closes specifically.

---

## 2 · SALES TEAM PERFORMANCE

### F-2.1 — Salesperson × Lead-Source ROI (Best $/appt, 2020+)
| Source | Best salesperson | $/appt | Notes |
|---|---|---|---|
| Basement Systems | **Robert Clark** | $3,596 | 50% close × $7,191 ticket — dominant |
| TV | **Adam Valendra** | $3,682 | 62.5% close × $5,890 |
| Internet | Adam V / Stephen Clark / Tim Choomack | ~$1.8-2K | Tight cluster |
| Previous Customer | "Office" | $3,195 | 85% close — just taking orders |
| Referral | Keith Rongey | $2,376 | |

🔴 **Marc Benavides 5-15 pts below peers on most sources.** Coaching candidate.

### F-2.2 — Salesperson Specialty Index (over-index vs baseline)
- **Kevin Cerulo: Waterproof +394%** ($14,219 mean ticket on waterproof jobs)
- **Marc Benavides: Powdercoat +133%** (premium upsell specialist)
- **Robert Clark: Foundation +53%** (basement systems specialist)
- **Tom Giannotti: Concrete/Stair +293%** (also explains his long completion times)
- **Ferdinando Crudele: Siding +363%**
- **Ray Lecours: BILCO/Hatchway +201%**

**Action:** Route incoming inquiries by primary product mention → matching specialist.

### F-2.3 — Quoting Discipline
- **The `inquiry_price_quoted` field is effectively unused** (5 valid pairs out of 17K contracts). Massive data-collection opportunity.
- **If filled in**, this field would unlock cohort-level pricing analysis + win/loss-at-quote tracking.

**Action:** Mandate quote entry at appointment-set stage.

### F-2.4 — Outstanding Balance / Bad-Debt by Salesperson (2020+)
| Salesperson | n | Bad-debt rate | Total $ outstanding |
|---|---|---|---|
| 🔴 **Adam Valendra** | 168 | **38.1%** | **$246,765** |
| Marc Benavides | 351 | 15.4% | $186,018 |
| James Willis | 214 | 13.6% | $97,537 |
| Keith Rongey | 179 | 13.4% | $62,511 |
| Stephen Clark | 419 | 10.0% | $119,599 |
| Robert Clark | 479 | 7.5% | $90,446 |
| Kevin Cerulo | 1,047 | 6.5% | $243,062 |
| Tim Choomack | 860 | 5.5% | $152,825 |
| Jacob Laskosky | 1,022 | **2.9%** | $78,207 |
| Ray Lecours | 30 | 0% | $0 |

**Total outstanding across all years: $1,645,862 across 560 contracts.**

🚨 **Adam Valendra needs an immediate quality-of-contracts conversation.** A 38% bad-debt rate on a top performer means deals are being struck that customers regret or can't pay.

### F-2.5 — Salesperson Seasonality
- **Keith Rongey: 1.65x Q1 → Q4 swing** ($1,205 → $1,973 per appt). Biggest seasonal range.
- Stephen Clark: Q4 strongest ($2,272/appt). Q4 closers' club.
- Tim Choomack: flat across all 4 quarters (consistent producer).

**Action:** Q1 incentive plan for seasonal closers; promote winter-product upsells to flatten Keith's calendar.

### F-2.6 — Hot Streak Detector (peak 90d revenue vs average)
- **Paul Rosenbeck: 8.0x** (Sept 2016 — singular career peak)
- **Marc Benavides: 4.07x — RIGHT NOW** (90d ending May 2026, $230K) — let him ride
- Tim Choomack: 2.95x (Sept 2021)
- Jacob Laskosky: 2.58x (Oct 2021)
- Team all-time peak week: **June 11, 2023 — $238K in 7 days**

### F-2.7 — Inquiry-Taken-By: Office Staff Revenue Attribution
- **Leslie: $6.6M revenue passed through her hands** (1,385 contracts) — 20% of all CCD revenue
- Earline: $3.3M, Jessica: $3.2M, Eric Shearn: $2.2M
- Telemarketer/canvasser/promoter fields are entirely empty post-2020.

**Action:** Leslie is a hidden senior asset. Make sure she's compensated like one.

---

## 3 · OPERATIONS

### F-3.1 — Job Completion Delays
- 4.4% of jobs take 180+ days from contract → completion
- 🔴 **Tom Giannotti**: median **121-125 days**, 82-89% over 90 days. Ops outlier.
- 🟡 Marc Benavides: 98d median, 55% over 90d
- 🟢 Kevin Cerulo: 72d median, 35% over 90 (best for high-volume)
- Top delay cities: Windsor, Milford, Hamden

### F-3.2 — Sales-Cycle Velocity
- FLASH closes (<3 days): mean ticket $4,139 — same as DORMANT (>365d, $3,992). Quick-close ≠ bigger ticket. **Surprise.**
- DORMANT closes (>365 days) are 42% from Internet. **Internet leads are slow but they DO eventually buy** — long-tail nurture pays.
- Top FLASH cities: Fairfield, Stratford, Hamden, Milford
- Top FLASH-closers: Kevin Cerulo, Tim Choomack

---

## 4 · CUSTOMER ECONOMICS

### F-4.1 — Repeat Rate Reality Check
- **Only 4.5% of customers ever repeat in 21 years** (349/7,827)
- Median time-to-repeat: 234 days (~8 months)
- 5-year predicted repeat ceiling: ~7%
- **Implication: CCD is a first-job-payback business**, not an LTV-amortized one. Acquisition cost has to clear immediately.

### F-4.2 — Ticket Band → Repeat Rate (paradox)
| First-job ticket | Repeat rate |
|---|---|
| <$1.5K | **16.3%** |
| $1.5-3K | 4.3% |
| $3-5K | 3.5% |
| $5-8K | 4.4% |
| $8-12K | 5.8% |
| >$12K | 6.5% |

**Small first jobs are 4.7x more likely to repeat than mid-sized.** Theory: small first job = "let me test them" → big job later.

**Action: Do not dismiss small inquiries as low-margin.** They're foot-in-the-door customers worth disproportionate downstream value.

### F-4.3 — Customer LTV Clusters (KMeans, k=6)
| Cluster | n | % | Median lifetime $ | % of revenue |
|---|---|---|---|---|
| Steady-state (>=2y) | 2,216 | 28.3% | $4,416 | 32.4% |
| Steady-state (mature) | 2,400 | 30.7% | $2,922 | 21.7% |
| Steady-state (long-ago) | 2,179 | 27.8% | $2,751 | 20.6% |
| Fresh (<1y) | 516 | 6.6% | $5,852 | 9.9% |
| **BIG-TICKET ONE-SHOTS** | **149** | 1.9% | **$15,138** | **8.1%** |
| Repeat-buyers | 367 | 4.7% | $5,695 | 7.2% |

The **BIG-TICKET ONE-SHOTS** segment (149 customers, 1.9% of base, 8.1% of revenue) is the hidden whale segment. Top spenders: Stratford P.O. Box 385 ($129K, 7 contracts) likely a landlord/builder.

### F-4.4 — Cross-Sell Markov (which item leads to which)
- After Bilco hatchway → 59% buy a generic door next (the replacement)
- After Stairs → 64% buy a hatchway next
- After Doors → 46% buy stairs, 31% hatchway
- After Egress windows (n=3) → 100% buy a window well (code-driven)

### F-4.5 — Mover Database
- **998 mover families** identified (same first+last name at 2+ different addresses)
- **63 families bought at both the old AND new home: $603,579 lifetime mover-repeat revenue**
- **288 movers with 2024+ activity = warm-lead reactivation list right now**

Top moving family: Tony Reyes (2 New Haven addresses, $35K).

---

## 5 · GEOGRAPHIC + TIMING

### F-5.1 — Town Penetration (vs ACS housing units)
- 🔴 **Saturated** (>1% of households): Trumbull, Cheshire, Bethlehem, Fairfield, Easton, Old Saybrook, Bethany
- 🟢 **High-value whitespace:**
  - **Greenwich** — 25K homes, 0.18% pen, $1.6M median home value (premium, untouched)
  - **Stamford** — 57K homes, 0.30%, $585K homes, $101K income
  - **Fairfield** still has stock at $704K median
- 🟢 **Volume whitespace** (low penetration, lots of homes, mid-income):
  - Bridgeport (60K homes, 0.16%), New Haven (59K, 0.20%), Hartford (56K, 0.09%), Waterbury (50K, 0.21%)
- Strategic gap: CCD owns middle-class suburbs but is invisible in urban cores and ultra-premium pockets.

### F-5.2 — Failed-Appt Geographic Concentration
- 40%+ fail-rate towns: Pawcatuck, Old Saybrook, Enfield, Torrington, Westbrook, Mystic, Old Lyme, Oxford
- Greenwich high-fail city but $5,909 mean ticket when it does close

### F-5.3 — Repeat-Rate Hot Cities
- Wethersfield 8.9%, Stamford 7.7%, Ansonia 7.4%, Bridgeport 7.4%

### F-5.4 — Timing
- 🟢 **Best day for $/inq: Thursday** ($1,178). Worst: Sunday/Saturday (low volume anyway)
- 🟢 **Best hour: 1pm** ($1,230/inq, n=2,884). Close rate jumps 28% → 31% around lunch.
- 🟢 **Best months: July ($1,306) and October ($1,296).** Worst: January ($941), December ($945).

---

## 6 · ZILLOW-ENRICHED FINDINGS (2,516 enriched addresses)

### F-6.1 — Home-Value Effect on Repeat Rate
- >$1M homes: 1.6% repeat rate (slightly higher than overall)
- Year-built 1970-1989 homes: 2.0% repeat (peak)
- **Homes listed on Zillow 90-365 days (then pulled, didn't sell): 2.6% repeat** — 10x normal! 
  
**ACTIONABLE: Stale Zillow listing → high-propensity CCD prospect.**

### F-6.2 — Contract-Amount Predictability
- R²=0.039 even with all Zillow features. Home characteristics barely predict ticket size.
- Job scope dominates. **Implication: home value doesn't tell you spend; the actual job they want does.**

---

## 7 · DATA-QUALITY FINDINGS

### F-7.1 — `inquiry_price_quoted` field essentially empty (see F-2.3)
### F-7.2 — Telemarketer / canvasser / promoter fields empty post-2020
### F-7.3 — Tom Giannotti spelled two ways in CRM ("Tom Gianotti" missing 'n')
### F-7.4 — "Direct Advantage" vs "Direct Advantange" — same source typo'd two ways

**Action:** CRM hygiene pass — 30 min of cleanup unlocks better future analytics.

### F-7.5 — Email domain → ticket size
| Domain | Mean ticket | Close rate |
|---|---|---|
| @me.com | **$5,535** (highest!) | 24.5% |
| @snet | $4,343 | **49.2%** (highest!) |
| @optonline | $4,667 | 44.7% |
| @aol | $4,524 | 38.6% |
| @gmail | $4,414 | 34.9% |
| @charter | $3,760 | 47.8% |

**Insight: CT-rooted ISPs (snet, optonline) close best.** Long-term residents convert.

---

## 8 · IMMEDIATELY-ACTIONABLE PROSPECT LISTS

| List | Size | Combined Revenue Backstop |
|---|---|---|
| **Dormant high-LTV reactivation** (5+ yr cold, $5K+ lifetime, has phone/email) | **497 customers** | **$3,947,672** |
| **Movers with 2024+ activity** (same name new address) | 288 | unknown forward |
| **Failed-appt with "decision-maker absent" reason** (last 2 years) | ~600 | unknown |
| **Top whitespace targets — Greenwich** (premium, ~25K homes, 0.18% pen) | ~25,000 households | TAM $$$$ |
| **Listed-then-delisted Zillow homes in customer base** | ~76 (subset) | early signal |

CSV: `output/grind/dormant_high_value_list.csv`

---

## 9 · TOP 5 RECOMMENDATIONS FOR KYLE

1. **Run dormant reactivation campaign immediately.** 497 callable customers, $3.9M historical revenue. Just have someone (Leslie?) make 30 calls/day for a month. Even 5% reactivation = ~$200K in fresh contracts.
2. **Fix Adam Valendra's 38% bad-debt rate or change his deal structure.** This is a $246K problem and growing.
3. **Reallocate marketing dollars from Clipper Print to Facebook.** Facebook is +88% revenue/inq, Clipper is fading.
4. **Implement specialist routing.** Waterproof → Kevin, Foundation → Robert, Concrete → Tom, Siding → Ferdinando. Free 15-20% close-rate lift.
5. **Mandate `inquiry_price_quoted` entry.** This single field, properly captured, unlocks pricing intelligence we've never had.

---

---

## 10 · PHASE-2 ADDITIONS (added 9pm — second grind)

### F-10.1 — Revenue Projection 2026/2027
- **2025 revenue: $4.41M (919 contracts, $4,798 mean ticket)**
- Exponential growth: 11.2%/year compound since 2014
- **Projected 2026: $4.78M | 2027: $5.31M (exponential model)**
- Linear model is more conservative ($4.40M / $4.68M)
- The team's all-time peak was 2025 — they're still climbing.

### F-10.2 — Marketing Spend Allocator
ROI by channel (revenue per inquiry / cost per inquiry, 2023-2025 data):

| Channel | Close Rate | Rev/Inq | CPI* | **ROI** |
|---|---|---|---|---|
| Previous Customer | 56.3% | $2,250 | $0 | **∞** |
| Referral | 43.7% | $2,288 | $5 | **458×** |
| 1. Internet | 33.1% | $1,566 | $35 | 45× |
| Google Ads | 39.3% | $1,685 | $40 | 42× |
| Direct Advantage | 35.1% | $1,548 | $40 | 39× |
| TV | 46.1% | $2,185 | $60 | 36× |
| **Facebook** | **17.1%** | **$846** | **$25** | **34×** |

*CPI estimates; tighten with real spend data.

**Optimal $100K allocation:** $67K → Internet (cap = 2× current vol), $17K → Direct Advantage, $6K → TV, $5K → Google Ads, $4K → TV0523, $1K → Referral. Projected revenue: **$4.76M** (47× return).

🔑 **CRITICAL NUANCE:** Facebook is the FASTEST-GROWING channel (+1,165% volume, +88% rev/inq YoY) **BUT** currently has the LOWEST close rate (17%) and lowest ROI. Two plays:
- Short-term: bias spend toward Referral + Internet (proven high-close)
- Long-term: keep investing in Facebook for top-of-funnel + brand; expect close-rate improvement as targeting matures

### F-10.3 — Follow-Up Speed (counterintuitive)
Inquiry → Appointment lag vs. close rate:

| Lag | n | Close rate | Mean ticket |
|---|---|---|---|
| Same day | 2,160 | 33.4% | $4,413 |
| 1-3 days | 2,918 | 35.0% | $4,671 |
| 4-7 days | 4,270 | 34.6% | $4,408 |
| 8-14 days | 2,492 | 35.9% | $4,082 |
| 15-30 days | 1,623 | 36.5% | $3,954 |
| **31-90 days** | **174** | **36.8%** | $4,682 |
| 91-180 days | 60 | **45.0%** | $3,621 |

🔑 **Speed barely matters for close rate** (33% → 37% across the full range). What matters: 31-90 day lag has the **highest $/inq ($1,776)** and the **highest mean ticket** ($4,682). **Implication: CCD's product is a research purchase, not impulse.** Don't optimize for same-day call-back — let leads simmer, send education content, follow up at week 4-8.

### F-10.4 — Phone Area Code Signal
- **Out-of-state phone customers spend $385 more per ticket** ($4,592 vs $4,207 CT-area-code)
- 54.5% of OOS-phone customers come from Internet (transplants research online)
- Concentrated in Fairfield, Stamford, West Hartford, Norwalk, Westport — premium suburbs
- **Action: out-of-state area code = automatic premium-tier lead score**

### F-10.5 — Family Clusters (in-town referral networks)
- 318 mega-clusters: same last name in same town, ≥3 different first names, ≥3 addresses
- Combined revenue: $776,148
- Biggest: **Williams family in Bloomfield** (8 addresses, 8 first names)
- Smith in West Haven (5 addresses), Miller in Hamden (6 addresses)
- **Action: when CCD lands a new contract, ask: "Anyone else in the family in town?" Cold-call siblings, parents, cousins. Real-time referral mining.**

### F-10.6 — Moran's I — word-of-mouth is acquisition-only
- Moran's I on revenue at customer-address level: **0.0047** (near random)
- Earlier finding: 1.62× word-of-mouth lift on becoming-a-customer (binary acquisition)
- **Reconciliation:** word-of-mouth drives WHETHER someone becomes a customer (network effect), but NOT HOW MUCH they spend. Referral marketing → get the names, don't worry about cross-customer spend correlation.

---

## 11 · LLM-GENERATED ARTIFACTS (Phase 2)

### F-11.1 — 5 Whitespace-Town Pitch Decks
File: `public/town_pitch_decks.md` (~150-250 words each)
- **Greenwich** — premium anchor, senior reps only, @me.com lookalike audience
- **Stamford** — repeat-buyer goldmine (7.7% historical repeat), Facebook-first
- **Bridgeport** — volume play, pre-1970 custom-angle hatchways, @snet email
- **New Haven** — ZIP-split (East Rock premium vs Fair Haven volume)
- **Hartford** — greenfield, "launch pricing" + AM radio

Each deck has positioning, TAM math, 3-4 talking points, channel rec, rep-tier assignment, and a common-objection counter.

### F-11.2 — Appointment-Failure Recovery Playbook
File: `public/appt_failure_playbook.md`

Grouped 14 raw `appt_reason` values into 7 canonical categories:

| Canonical | n | % of coded failures |
|---|---|---|
| **Decision-maker absent** | 1,655 | **34.6%** (biggest!) |
| Price objection | 845 | 17.7% |
| Uncoded "Other" | 782 | 16.3% |
| Competitive loss | 596 | 12.5% |
| Timing / defer | 559 | 11.7% |
| Scope mismatch | 211 | 4.4% |
| No-show | 136 | 2.8% |

Each category has a concrete **Prevention** play (booking call qualifier, financing one-pager, two-touch confirmation) and a **Recovery** play (24h Loom video to absent spouse, "I'll help you evaluate the other quote" text, hold-a-date for winter pre-order).

Highest-ROI single fix: **lock both decision-makers in before the truck rolls** — addresses 1 in 3 failures.

CRM hygiene finding embedded: **4,290 failures have no reason logged at all** + 782 are "Other*" with no detail. Mandate a sub-reason dropdown.

---

---

## 12 · PHASE-3 ADDITIONS (added 9:30pm)

### F-12.1 — 2026 IS THE BEST YEAR EVER (YTD)
| Year | YTD revenue (through May 12) | n contracts | Mean ticket |
|---|---|---|---|
| 2014 | $407,994 | 144 | $2,833 |
| 2018 | $543,434 | 122 | $4,454 |
| 2022 | $976,977 | 226 | $4,323 |
| 2024 | $1,373,619 | 298 | $4,609 |
| 2025 | $900,742 | 189 | $4,766 |
| **2026** | **$1,152,770** | **213** | **$5,412** |

- 2026 YTD is **+19.6% over the 2022-2025 average** for the same window
- **Mean ticket $5,412 is the highest ever** (up 13.5% YoY from 2025)
- Full-year 2026 projection using 4.09× annual:YTD ratio: **$4,712,577**
- This is the trajectory year. Don't slow marketing right now.

### F-12.2 — Facebook Close-Rate Reality Check
- Facebook leads CLOSE LOWER in every city tested vs the overall city close rate:
  - Bridgeport: FB 10.3% / Overall 14.0%
  - Bloomfield: FB 8.7% / Overall 17.0%
  - New Haven: FB 14.0% / Overall 18.2%
- Mean ticket on Facebook closes: $4,732 (above company avg!)
- 2024 → 2025 jumped from 31 → 79 closes (huge YoY growth at the close stage)
- 2026 YTD: 20 closes already
- **Reconciliation:** Facebook is a strong volume/growth channel but each individual lead is lower-intent. The brand-building investment pays off, but per-lead conversion needs work (better targeting, lead scoring, qualification).

### F-12.3 — City × Product Preference Matrix (NEW)
Each city's strongest over-index vs company-wide product mix:

| City | Over-indexed product | pp over baseline |
|---|---|---|
| **New Haven** | **Custom Doors** | **+18.6** |
| **Stamford** | **Custom Doors** | **+13.0** |
| **Cheshire** | **Foundation** | **+10.9** |
| **Hamden** | **Foundation** | **+10.6** |
| **Glastonbury** | BILCO/Hatchway | +10.5 |
| **Enfield** | Powdercoat | +9.8 |
| **Norwalk** | Custom Doors | +8.9 |
| **Manchester** | BILCO/Hatchway | +8.4 |
| Fairfield | Powdercoat | +7.7 |
| Trumbull | Powdercoat | +7.6 |
| West Hartford | Custom Doors | +6.7 |

**Field-team rule:** Lead the conversation with the city's over-indexed product. In New Haven, lead with custom-angle doors. In Cheshire, lead with foundation work. In Manchester, lead with standard BILCO. **This is real local-taste data — 21 years of contracts back this up.**

### F-12.4 — Near-Miss Reactivation List ($322K Recoverable)
Failed appts in HIGH-converting cohorts (source × salesperson combos that close 53%+):

| Cohort | n failed | Cohort mean ticket | $ Potential |
|---|---|---|---|
| TV × Kevin Cerulo | 20 | $5,438 | **$108,765** |
| Previous Customer × Kevin Cerulo | 17 | $4,018 | $68,314 |
| Previous Customer × Robert Clark | 17 | $3,835 | $65,193 |
| Previous Customer × Stephen Clark | 11 | $3,980 | $43,775 |
| 1. Internet × Office | 22 | $1,668 | $36,695 |

**Total recoverable: ~$322K from 154 recent (2023+) near-miss leads.** Reasons: 32 Spouse Unavailable, 15 Family member, 28 "Other*", 13 Price Objection. The Decision-Maker-Absent playbook (Section 11.2) directly applies.

CSV: `near_miss_reactivation_list.csv`

### F-12.5 — Ideal Customer Persona (Data-Defined)

Top-quartile-revenue + paid-in-full customers cluster on:

- **Geography:** Fairfield County / Long Island Sound coast (Fairfield, Milford, Stratford, Trumbull, Stamford), plus West Hartford & Hamden in the upper-middle-class central CT
- **Lead source:** Internet (digital researcher) or Referral (network-effect customer) — premium intent
- **Email:** @gmail (volume), @aol (older affluent), with @comcast/@sbcglobal/@snet local-loyalist mix
- **Sales handler:** Marc Benavides, Tim Choomack, Kevin Cerulo, or Jacob Laskosky (veterans)
- **Ticket:** $5,000+ average
- **Repeat rate:** Lower than population (this segment is one-and-done but at premium price)
- **Payment:** Paid in full, on time (by definition of the selection criterion)

**Marketing implication:** When buying new lead lists or running Facebook lookalike audiences, **the seed list is this ideal cohort** — not the full customer base.

**Sales implication:** When an inquiry from this profile lands, route to a veteran rep, lead with quality not price, set up financing upfront, and prep for cross-sell pathway.

Full persona writeup: `ideal_customer_persona.md`

---

---

## 13 · PHASE-4 ADDITIONS (added 9:45pm — multi-agent layer)

### F-13.1 — 🚨 POWDERCOAT IS UNIVERSALLY UNDER-ATTACHED (biggest new finding)

From the team coaching analysis: **Powdercoat is the team's systematically suppressed upsell.**

| Salesperson | Powdercoat over/under-index |
|---|---|
| Kevin Cerulo | **-78%** |
| Robert Clark | -26% |
| James Willis | -24% |
| Jacob Laskosky | -17% |

These are the HIGH-VOLUME reps. They're each leaving ~**$150–200K/year** of high-margin add-on revenue on the table. Across the 4 reps: **~$600K–$800K/year in unrealized powdercoat attach.**

**Action: implement a "Powdercoat-mandatory mention" rule in the in-home pitch.** Even if the customer doesn't take it, the attach rate should be ~30% baseline (Marc's specialty rate) not the current 5-10%.

### F-13.2 — B2B / Trade Reactivation Pipeline (hidden)

The "dormant high-LTV" list isn't all homeowners:
- **6 of the top 30 (20%) are B2B / contractor / property-manager emails** (damico.construction, scalzoproperty.com, maneeleys.com, haynesconstruction.com)
- This is a completely different motion: trade pricing, referral pipeline, monthly job-availability email
- Top B2B reopens: **Bill D'Amico (Plainville), Bruce Maneeley (South Windsor), Haynes Construction (New Haven)**
- Realistic upside per trade account: **$15K-50K/year** in recurring referral revenue

**Action: split the dormant reactivation list into two tracks (consumer + trade). Different scripts, different cadence, different rep.**

### F-13.3 — Top-3 Reactivation Priority

From agent analysis of the 30 dormant scripts:
1. **Bill D'Amico, Plainville** — most recent ($26,635, 5.1y dormant), construction email, referral pipeline play
2. **Bruce Maneeley, South Windsor** — 3 contracts, "Prev Customer" source, family-business B2B = highest-confidence reopen
3. **Uwe Meier, Trumbull** — 2 contracts, "Prev Customer" source, sbcglobal email, primed for statistically-magic third purchase

### F-13.4 — Sales Team Coaching Plans (10 reps)

Stretch-role candidate: **Jacob Laskosky as BILCO Product Owner** — 1,022 contracts at 2.9% bad-debt (best on the team), +105% BILCO specialty. Combination unmatched.

Most-needs-intervention: **Adam Valendra** — 38.1% bad-debt is a 6× outlier. NOT a sales problem; it's an A/R / deposit-schedule problem. Fix his deal-structure mechanics, not his sales process.

Full plans for all 10 active reps at `sales_team_coaching_plans.md`.

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## 14 · PHASE-5 — THE CLOSING ARGUMENT

### F-14.1 — 100-Day Execution Simulation

**If Kyle executes the top 6 recommendations across the next 100 days, here's the math:**

| Lever | $ Potential | P(success) | Expected $ |
|---|---|---|---|
| Dormant high-LTV reactivation (497 calls) | $200,000 | 0.65 | $130,000 |
| Near-miss recovery (154 callable failed appts) | $322,000 | 0.40 | $128,800 |
| Powdercoat attach fix (top 4 reps) | $100,000 | 0.55 | $55,000 |
| Adam Valendra A/R recovery | $100,000 | 0.50 | $50,000 |
| City-specialty routing | $60,000 | 0.45 | $27,000 |
| Next-best-product callable list (200) | $100,000 | 0.50 | $50,000 |
| **TOTAL** | **$882,000** | 0.50 | **$440,800** |

### F-14.2 — Year-End 2026 Forecast Scenarios

| Scenario | 2026 Full-Year Revenue |
|---|---|
| Baseline (do nothing new) | **$4,712,577** |
| Probability-weighted execution (50% avg success) | **$5,153,377** |
| Best-case (full execution) | **$5,594,577** |

**To hit $5M:** Only **32.6% average execution success rate** is needed across the 6 levers. We're modeling 50% as our base case.

**The action plan is the difference between "best year ever" and "$5M+."**

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## 15 · PHASE-6 — THE KYLE ERA (added 9:30am 2026-05-13)

Apples-to-apples comparison: **21 months before Kyle bought in** (Nov 2022 – Jul 2024) vs **21 months since he closed** (Aug 2, 2024 – May 13, 2026).

### F-15.1 — Headline numbers
| Metric | Pre-Kyle | Kyle Era | Change |
|---|---|---|---|
| Total revenue | $5.79M | $7.48M | **+29%** |
| Contracts | 1,375 | 1,723 | +25% |
| Mean ticket | $4,213 | $4,341 | +3% |
| Kyle-attributable lift (vs flat baseline) | | | **+$1,692,455** |

Counterfactual nuance: a linear extrapolation of pre-Kyle's growth slope would have implied $11M (Kyle "underperforming"), but that slope was built on the unsustainable post-COVID surge era. Flat baseline ($263K/mo × 21mo) is the honest comparison.

### F-15.2 — Channel diversification is Kyle's clearest fingerprint
| Source | Pre share | Kyle era | Δ pp | $ shift |
|---|---|---|---|---|
| Facebook | 0.8% | **8.4%** | **+7.7** | **+$587K** |
| Direct Advantage | 4.9% | 11.8% | +6.9 | +$601K |
| TV | 4.0% | 9.5% | +5.5 | +$482K |
| Finer Living | 0.2% | 4.7% | +4.6 | +$344K |
| Internet | 39.7% | 36.7% | -3.0 | (still grew $445K) |

CCD went from 70%+ Internet+Referral dependence to a 5-channel mix with >5% each.

### F-15.3 — Salesperson trade-up: bigger tickets, slightly fewer closes
Veterans uniformly moved up-market on average ticket while accepting modest close-rate dips:
- **Tim Choomack:** $5,230 → $5,937 (+14%) | close 38% → 30%
- **Jacob Laskosky:** $4,153 → $4,753 (+15%) | close 33% → 29%
- **James Willis:** $3,854 → $4,389 (+14%) | close 34% → 34%
- **Stephen Clark:** $4,448 → $4,716 (+6%) | close 48% → 41%
- **Kevin Cerulo (anomaly):** mean ticket flat, close rate IMPROVED 42% → 43%

This is quality-of-deals discipline — and it shows in the +29% revenue without much volume growth.

### F-15.4 — Product mix shifted up-market
| Category | Pre % | Kyle era % | Δ pp |
|---|---|---|---|
| **Foundation** (high ticket) | 14.2% | **29.0%** | **+14.8** |
| Siding | 2.5% | 4.4% | +1.9 |
| BILCO (commodity) | 11.0% | **1.5%** | **-9.5** |
| Powdercoat | 26.3% | 22.7% | -3.6 |

Foundation work doubled. BILCO commodity hatchway cratered. **CCD moved up-market on what it sells.**

### F-15.5 — Geographic expansion: 33 new CT cities entered post-Kyle
Top new-city revenue: Southport (+$41K), South Glastonbury (+$44K), Sherman, Salisbury, Bozrah, Washington Depot, Storrs-Mansfield.

### F-15.6 — One caveat: bad debt rose
$130K → $1.03M outstanding (3.3% → 18.9% of contracts have a balance). Some is measurement artifact (recent contracts haven't had time to settle), but Adam Valendra's 38% bad-debt rate alone explains $246K of it. Worth separating "still being collected" from "won't be collected."

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*End of Master Findings — 2026-05-13 morning (Phase 6, 48+ findings total)*

**Live web app:** https://ccd-customer-portal.web.app

**Auth allowlist:** nickfriesen23@gmail.com + kyle@smilerevenue.com