SWTR — Living Roadmap¶
What this page is — strategic memory for SWTR
The single source of truth for SWTR: research → strategy → expectations → return → report. Every fire triages against this — direction that persists, not tasks that scatter.
Markers: 🟢 Confirmed · 🟡 Assumption · 🔴 Gap · 🎯 Target.
Group thesis — SWTR is the front door. Own "water truck" in Phoenix: rent (SWTR) → buy (SEQ/STE) → maintain (SWTP), one customer, no vendor change. The highest-leverage motion in the whole group is here: the rent-to-own credit (rental payments crediting toward a purchase) — it turns SWTR into the sales lead engine and needs no new infrastructure. Narrative depth → entity page.
0 · MARKET RESEARCH & ANALYSIS — the why (mostly researched 2026-09-07)¶
- Three models — do not conflate 🟢: bare rental (customer drives — SWTR is here; Madco, Motor City, United, Herc), operated service (their driver, compliance is the pitch — 310 Dust Control, Agua Trucks), aggregators (own no trucks — BigRentz, EquipmentShare).
- The direct benchmark — Madco 🟢: ~$600–650/day · $1,800–2,050/wk · $5,400–5,750/mo for 4,000 gal. 4,000 gal ONLY → SWTR has 2k + 4k; the small-pad segment is underserved. Usage capped 8 hrs/day, 5 days/wk with overage → "no usage meter" attack. Requires $1M CGL.
- The compliance wedge 🟢 (a hypothesis the research sharpened): compliance is owned only in the operated model. In bare rental the renter's driver must be Rule-310 certified and no bare-rental competitor says so. That asymmetry is the real wedge SWTR can own.
- Strategic benchmark — J&S Truck & Equipment (Mesa) 🟢: structurally the same business, beats us on capacity (5,000 gal), but publishes no rates and is absent from the core rental searches → the real opening is demand capture, not product. (Brandon flagged 2026-09-07; the earlier "only one who builds its own trucks" moat claim was FALSE and retracted.)
- Rate tiers 🟢: national (Sunstate ~$8,590/mo 4k), cat-dealer (Empire ~$6,295), regional/value (Madco ~$5,400). SWTR owns the mid-age value tier — performs like a $6–7k unit, built on a rebuilt-salvage cost basis the nationals can't match.
- Seasonality 🟡 peak May–Sep; off-season = keep trucks moving at softer rates + use slow months for rebuild throughput. Utilization is the hidden number (industry ~75% target).
- 🔴 Gaps: addressable Phoenix bare-rental $ market; whether the Maricopa dust-permit database is a usable dated buying-trigger lead source (hypothesis, unverified — do not repeat as fact).
1 · SALES & GO-TO-MARKET — the how¶
- Customer 🟢 — construction, dust-control compliance, fire/wildland, municipal water; deciding rent vs buy — which is the opening for the credit lever.
- Positioning 🟢 — "a truck that performs like a $6–7k fleet unit, priced to win, no 8-hour usage cap — and your rent can buy it." Mid-value tier; own the middle (don't fight nationals at the top or the cheapest independents at the bottom).
- Revenue streams 🟢 — monthly rental (core) · delivery/transport (DET, separate line) · damage recovery (cost-recovery) · rental-to-sale conversion (a truck on rent is a demo unit).
- Pricing 🟢 — the rate engine sets a defensible monthly rate from truck attributes, clamped to published bands (4k: 0–3yr $7,500–8,600 · 8+yr $4,500–5,800; 2k: $3,000–5,800). Anchored to live comps.
- Marketing — 🟢 IT-CRM/GHL owned (2026-09-06). 🔴 Blockers: SWTR has no phone number (never ordered) and sends no email today → cannot capture demand it generates. Fix first.
- Play for the year 🎯 — stand up demand capture (phone + GHL), attack the two Madco weaknesses (no small pads, 8-hr cap), own the compliance-asymmetry message, and wire the rent-to-own credit as the group's lead engine into SEQ/STE.
2 · EXPECTATIONS — targets (the contract)¶
| KPI | 🎯 Target | Horizon | Owner | Source |
|---|---|---|---|---|
| Fleet utilization | ~75% (below 50% = price/marketing problem; >90% = raise rate) | Monthly | Ops | Rental log / truck records |
| Trucks on rent / month | 🔴 set | Monthly | Ops | Booking engine |
| Avg monthly rate realized | Within published bands | Monthly | IT-CRM | Rate engine / QB |
| Rent-to-own conversions → SEQ/STE | 🔴 set (the lead-engine KPI) | Quarterly | IT-CRM | CRM |
| Leads captured / month | 🎯 grow from 4-all-time baseline | Monthly | IT-CRM | Warehouse |
| Revenue / month | 🔴 set | Monthly | AM | QB P&L — SWTR |
3 · RETURN — actuals (the books)¶
Fed monthly after close. — = pipeline not yet wired.
| KPI | 🎯 Target | Actual | Variance | As of | Source / status |
|---|---|---|---|---|---|
| Leads (all-time baseline) | grow | 4 | — | 2026-08-14 | warehouse — baseline confirmed (thinnest of the brands) |
| Fleet utilization | ~75% | — | — | — | rental log — wire |
| Trucks on rent | — | — | — | — | booking — wire |
| Avg rate realized | bands | — | — | — | rate engine — wire |
| Revenue / month | — | — | — | — | QB P&L — pending gl_fact (#55) |
| Rent→own conversions | — | — | — | — | CRM — wire |
4 · REPORT — monthly review (the loop)¶
Diff Expectations vs Return → misses → actions → dated entry in the decision log.
Latest month: (pending first close)¶
- On track: — · Behind target: — · Research that changed: — · Actions (owner→by when): — · Decisions logged: —
5 · AI LAYER — how AI serves SWTR's goals¶
- Rate engine = the pricing brain (defensible, per-truck, band-clamped).
- GHL + phone provisioning (IT-CRM) → SWTR's #1 blocker is capture (no phone, no email today).
- Rent-to-own credit as a CRM trigger → the highest-leverage AI-driven motion in the group.
- AI KPI: demand captured (leads) + rent-to-own conversions handed to SEQ/STE.
How AI uses this page¶
Direction for every SWTR-facing agent. Work traces to an Expectations row; Return says if it moved; Report recalibrates monthly; every 🔴 (phone/email capture, the dust-permit hypothesis, target-setting) is standing to-do. The front door of the water-truck thesis, kept honest and pointed at outcomes.