Flatbed rates are turning up and capacity is tight — exactly when shippers reconsider carriers. We earn the demand; we just don't capture it.
Spot rates +5% YoY with tight capacity — a rare window to win contract freight.
182K+ impressions on afctransport.com at page 2–4. Traffic exists; we don't convert it yet.
Certified woman-owned + 19 Fortune 500 = a supplier-diversity key rivals can't match.
Market: US freight brokerage ~$19.7B (2025) → ~$30B by 2031 (~7.2% CAGR); flatbed spot rates +5.2% YoY (Q4'25); new contract rates above expiring since Aug 2024 = shipper buying signal; ~3,100 brokers exited in 2024 (consolidation).
Tier-A target verticals (where AFC's equipment + woman-owned land best): 1. Steel & metals — coils, plate, structural (our equipment's core; Boyd Bros/TSH compete here). 2. Energy — oil & gas + wind (turbine components, over-dimensional); UVL/Aveda/Acme own oilfield — room in wind/renewables. 3. Industrial machinery & equipment — step-deck/RGN, project moves (PGT/ATS territory). 4. Infrastructure / construction / federal — building materials, gov't freight (woman-owned + supplier-diversity is a direct key).
Tier-B (opportunistic): building products, agriculture equipment, glass, aerospace components. Vertical focus = premium pricing and less price-shopping — the niche-specialist lesson from the research.
Two businesses with different economics: the carrier grows by recruiting drivers; the brokerage grows by winning shippers. Built and run by marketing (KIV) + AI; budget & hiring approved by Steven & Kate.
Carrier customers with off-equipment freight → brokerage. Brokerage shippers needing dedicated capacity → carrier. One brand, one customer view make cross-sell systematic.
Grounded in reality: "steven maly" and our brand terms are already searched; the family/woman-owned story is a real differentiator none of Melton/TMC/Daseke can claim.
Where AFC sits: mid-size specialized carrier (~200 trucks) plus a real brokerage (~$24–26M gross) — bigger than regional peers, far smaller than the giants. (Full detail in the companion AFC-Competitor-Market-Intelligence.md, ~100 companies.)
| Tier | Examples | Relevance |
|---|---|---|
| Giants (benchmark, not daily rivals) | Daseke, Landstar, ATS, Bennett, TMC, Melton, CRST, Roehl | Learn their playbooks; don't fight on scale |
| Mega w/ brokerage arms | Knight-Swift, J.B. Hunt 360, Schneider, XPO | Threat in brokerage; tech bar |
| Brokerages/3PL | C.H. Robinson, TQL, WWEX, RXO/Coyote, Echo, Arrive (in our Tampa data), Scotlynn | Demand-side benchmark |
| Direct peers | Great Western, AK Logistix, 4D, Carrier One, R&R Express, American Freight, Spartan | Our true head-to-head |
The 7 growth playbooks they run: M&A roll-up (Daseke/RXO/Schneider) · asset-light agents (Landstar) · AI automation + cost discipline (C.H. Robinson — record margin in a recession) · niche specialization (energy/steel/munitions/project) · tech platforms/API (J.B. Hunt 360) · talent+geo expansion (TQL→Fort Worth) · driver-experience brand (Roehl/TMC/Melton).
Alignment summary — AFC's edge vs this field: woman-owned (none of them) · hybrid asset+brokerage ("yes when carriers say no") · KIV cost structure (run automation cheaply) · the open shipper lane the specialists ignore. Strategy: don't out-scale — out-niche and out-execute per dollar.
The product, the capacity and the brand searches are already there. We now measure the driver funnel (FB + RingCentral); the demand engine and shipper-side measurement are not yet there.
We pay ~$9.30 per driver lead, earn ~394K search impressions a year — yet half the leads go uncalled and shippers get $0 of demand spend. The problem is allocation and execution, not size.
The strategic truth: AFC is two businesses with different economics under one brand. The carrier is capacity-limited (grows by recruiting drivers); the brokerage is demand-limited (grows by winning shippers). Today 100% of marketing serves the carrier (Facebook/drivers) and $0 serves the brokerage — so the demand engine doesn't exist.
One-time strategic goals (the few that matter): - G1 — Build the shipper-demand engine (Google + LinkedIn + content + ABM) the brokerage has never had. - G2 — Consolidate to one brand/site (afctransport.com) and stop the 3-domain cannibalization. - G3 — Make everything measurable (conversion tracking + attribution; today GA4 key events = 0). - G4 — Protect & amplify driver recruiting (keep Facebook; add UGC + lease-purchase marketing). - G5 — Run lean with AI (KIV + automation) instead of bloating headcount. - G6 — Weaponize the unfair advantages woman-owned + hybrid asset+brokerage.
Growth priorities (ranked): 1) Tracking/CRM foundation → 2) Shipper demand (Google/LinkedIn) → 3) Driver UGC + lease-purchase → 4) Brand/site consolidation → 5) Sales motion + cross-sell. Capacity is tightening and flatbed rates are turning up — the window to win shipper contracts is now.
From Daseke and Landstar to C.H. Robinson, TQL and our direct peers — open the full list, tables and tactics.
Daseke bought ~16 specialists; RXO bought Coyote; Schneider bought Cowan ($390M).
Landstar grows without buying trucks — 11,000+ owner-ops via agents.
C.H. Robinson automated 3M+ tasks; record margins in a recession.
Energy, steel, munitions, project cargo, produce — own a vertical.
Uber Freight, RXO, J.B. Hunt 360 — rates & tracking in shipper systems.
TQL plants branches in talent magnets (Fort Worth).
Roehl, TMC, Melton — Melton's UGC lifted referrals +56%.
Woman-owned (none of them) · hybrid asset + brokerage · the open shipper lane the specialists ignore · a full marketing team in KIV for the cost of one US hire.
What this means: capacity is tightening and rates are turning up — exactly when shippers reconsider carriers. The winners are consolidating. AFC's window to capture shipper demand is now, and it's a demand AFC currently spends $0 to capture.
| Company | Size / note | Growth / marketing signature |
|---|---|---|
| Daseke (now part of TFI Intl) | ~5,200 trucks, 11,000+ specialized trailers; 16 operating brands | M&A roll-up (the case study, §4) |
| Landstar | Asset-light; 11,000+ owner-ops, ~102,000 capacity providers | Independent-agent network; conservative, profitable |
| Anderson Trucking (ATS) | Big heavy-haul/specialized; ATS Specialized, Warren, Midwest | Project/over-dimensional + brokerage |
| Bennett Family of Cos. | 10+ businesses; family since 1976 | Open-deck + oil&gas + forwarding + brokerage |
| TMC Transportation (Annett Holdings) | Employee-owned; signature chrome fleet | Brand prestige + driver pride; training |
| Melton Truck Lines | ~$465M+ rev, flatbed/step-deck, US/CA/MX | Driver-influencer/UGC program (§5) |
| Mercer Transportation | Owner-operator flatbed leader (Louisville) | Owner-op model |
| CRST (Malone) | 70+ yrs; flatbed + many segments | M&A (BCB Transport); Home Depot final-mile |
| Roehl Transport | ~2,000 trucks, 5,800 trailers; + Roehl Logistics | CEO is a driver; driver-first brand |
| System Transport (Trans-System) | Largest flatbed in western US; fleet age ~2.5 yrs | Regional/dedicated |
| Maverick Transportation | ~1,500 tractors, 2,700 trailers (Arkansas) | Sign-on bonuses ($2–5k); glass/marine niche |
| PGT Trucking | 45 yrs, 30 terminals (PA) | Lease-purchase leader; project cargo; dedicated |
| Boyd Bros. (Daseke) | Steel & building materials, eastern US | Steel/building-materials niche |
| United Vision Logistics | ~2,500 owner-op trucks, 100+ terminals, ~$130M | Energy/oilfield niche; 9-axle telescopic |
| Western Express | Founded 1991, growth path; newest-fleet angle | Scale + new equipment |
| Beemac, R&R Express, Acme Truck Line | Mid-large specialized/oilfield | Oilfield (Acme), brokerage (R&R) |
| Prime Inc. | Reefer + flatbed divisions | Driver pay/equipment brand |
| Schilli, Big G, HVH, D.M. Bowman, Milan Express, Titan Transfer | Mid-size flatbed/specialized (CCJ Top 250) | Regional/dedicated |
| McElroy, Cypress (FL), Gypsum Express, Paul Transportation (gov't loads), Britton, Nick Strimbu, Carolina Cargo, Watt & Stewart | Regional flatbed peers | Niche/regional |
Smokey Point Distributing (aerospace), E.W. Wylie, J. Grady Randolph, Central Oregon Truck, Lone Star Transportation (TX/MX), Bulldog Hiway, Hornady (est. 1928), Tennessee Steel Haulers (TSH), Steelman, Roadmaster Group / Tri-State Motor Transit (munitions/AA&E — oldest US arms hauler), Moore Freight, Aveda (energy), Builders Transportation, WTI Transport (roofing/steel), Mid Seven (machinery), Big Freight Systems (Canada). → One platform bought ~16 niche specialists to dominate flatbed.
| Company | Note |
|---|---|
| Knight-Swift | ~19,000 trucks; expanding into LTL (Yellow terminals) |
| J.B. Hunt | ~$7.08B brokerage; 360 / 360box tech platform (+45% YoY API shippers) |
| Schneider | Acquired Cowan Systems ($390M); dedicated focus |
| Werner, Crete (Hunt Transportation, Shaffer), Prime | Large TL with specialized/dedicated |
| XPO, Old Dominion, Estes, Saia, R+L, Averitt, Southeastern, ArcBest | LTL majors |
| TFI International | Daseke's parent; Canadian consolidator |
| IMC Companies | Intermodal/drayage network (~$450M) |
| Company | 2025 scale / move | Tactic |
|---|---|---|
| C.H. Robinson | #1, ~$14.77B gross, ~$550M net income, 31.3% adj op margin | AI automation (Navisphere, 3M+ tasks); cost discipline |
| TQL | #2, ~$7.36B gross (+8%), overtook J.B. Hunt | Talent + geo expansion (Fort Worth); aggressive sales |
| J.B. Hunt (ICS/360) | #3, ~$7.08B | Tech platform/API |
| WWEX / Worldwide Express | #4; acquired JEAR Logistics (reefer) | M&A + LTL/parcel |
| RXO | #5; acquired Coyote (from UPS); ~$4.23B gross but ~$63M net loss | Scale via M&A (margin caution) |
| Echo Global Logistics | Acquired ITS; sustainability angle (SmartWay) | Tech + green positioning |
| Arrive Logistics | #11→#7, +$240M (Austin) — shows in our Tampa search data | Tech-enabled growth |
| Uber Freight | AI platform; Amazon overflow deal; still loss-making | Tech/app + enterprise |
| Armstrong Transport Group | #20→#13, +28.6% organic ($1.05B→$1.35B) | Organic agent growth |
| Scotlynn | #31→#17, $1.2B | Produce/reefer niche |
| Axle Logistics | #29→#22, crossed $1B | Mid-market growth |
| ITS, Mode Global, Nolan (NTG), Ascent Global, ArcBest, R&R Family ($858M) | Top-30 brokers | Mixed |
| GlobalTranz, Allen Lund, England Logistics, BlueGrace, Redwood, Ryder, Penske Logistics, Ruan, FirstFleet | Large 3PL/managed transport | Managed transport |
| STT Logistics (Miami) | Heavy-haul broker, AI cargo-fraud tech, 1000s of 5-star reviews | Niche + reviews |
| Convoy (defunct 2023), Transfix, Beon | Digital-broker disruptors | Cautionary/tech |
Great Western Transportation, AK Logistix, American Freight, Spartan Traffic, 4D Transportation, Carrier One, R&R Express — family/mid-size flatbed+brokerage, our daily competitive set.
How to see exactly what each runs (set up monthly): Facebook/IG → facebook.com/ads/library; Google/YouTube → adstransparency.google.com; LinkedIn → company Page "Ads" tab; TikTok Creative Center; SEO/keywords → Semrush/Ahrefs.
AFC vs the field: at ~$85–95M combined and ~200 trucks, AFC is a mid-size specialized carrier + a real brokerage — bigger than the regional peers, far smaller than Daseke/Landstar/Melton, and tiny vs C.H. Robinson/TQL. That's fine: AFC doesn't need to beat them on scale. It needs to win a niche + a demand channel they under-serve.
The white space (what the research exposes): 1. Specialized carriers market hard to drivers, thinly to shippers — and AFC has a brokerage to monetize shipper demand. Open lane. 2. Woman-owned + 19 Fortune 500 — none of Melton/TMC/Daseke have this. It's a literal key to supplier-diversity RFPs. 3. Hybrid asset + brokerage — "we say yes when carriers say no." Pure brokers have no trucks; pure carriers can't flex. 4. KIV cost structure — AFC can run C.H.-Robinson-style AI automation with a lean team for a fraction of US cost. 5. Latent demand already in our data — "afc tracking" searches with no tracking page; /lease-purchase is our #2 page; "logistics companies tampa/florida" where we already rank page 1 bottom.
From the research, the moves that fit AFC's size, assets, and cost structure: - Pick 2–3 verticals and own them (steel/metals, energy, machinery/infrastructure) — niche beats generalist (Daseke's brands, Scotlynn, UVL). - Build the shipper-demand engine the specialists skip — SEO + Google + LinkedIn + ABM, timed to RFP season and rate-turn buying signals. - Copy Melton's UGC + PGT's lease-purchase marketing for drivers — cheap, proven, and our data shows the lease-purchase demand. - Run it lean with AI (C.H. Robinson logic, KIV cost) instead of headcount. - Lead every shipper conversation with woman-owned + hybrid — the two things this 100-company field can't copy. - Don't out-scale; out-niche and out-execute per dollar.
Next deliverable (built on this): the full action plan — who does what, week by week, with target numbers, the automation stack, and real budgets — mapped to these plays.
Competitor & market intelligence for AFC's growth strategy. ~100 companies across segments; figures are latest public estimates (2024–2026) and shift with the freight cycle. Sources named in §0. For planning; not financial advice.
We opened the Google Ads Transparency Center and the Meta Ad Library (US, active ads, June 2026) and read the real campaigns of our direct peers and the big brokers. The ad counts below are active creatives on record — a proxy for how hard, and on which channel, each company is pushing. This is the raw material we copy from.
| Advertiser | Google ads | Meta ads | What they push |
|---|---|---|---|
| Engine 1 · Drivers / carriers (our direct peers) | |||
| Melton (flatbed) | ~35 | ~32 | Only peer running both engines. Google = drivers + a shipper sub-site (flatbed.*, CTPAT, Mexico, quote CTAs). Meta = viral POV / lifestyle video, a pay-raise news hook, “we stick around in downturns” stability. |
| TMC (flatbed) | ~83 | ~29 | Drivers only. Employee-owned, performance pay, paid in-house CDL training, “get paid to train”, military apprenticeship; granular local job posts ($/hr, by city). |
| PGT (steel flatbed) | 0 | ~200 | Meta-only — a whole recruiting engine on Facebook/IG, nothing on Google. Hyper-concrete pay ($80–105K, $1,800–2,100/wk), $5,500 first-year + $6,000 retention bonuses, new tractors. |
| CRST | ~600 | ~120 | Highest volume of anyone. Heavy on owner-operators / own-authority — “no forced dispatch”, “choose your lanes”, “grow your business” — plus company drivers (dedicated, home time, sign-on). |
| Maverick (glass/steel) | ~32 | ~35 | $3,000 sign-on, explicit salary ranges, glass/marine niche, and driver-story video (military-to-trucking) — earnings transparency + human stories. |
| Engine 2 · Brokers (the shipper-demand field) | |||
| C.H. Robinson | ~200 | ~86 | The Engine-2 template. Total intent capture — separate ads + pages for FTL, truckload, flatbed, LTL, “even when others can’t”, lowest-price guarantee; an SMB self-serve brand (Freightquote / Amazon FBA); analyst authority (Gartner). Meta = carrier load board + SMB only. |
| TQL | ~8 | ~0 | Barely advertises — grows on its inside-sales army. The few ads split between light shipper trust messaging and recruiting salespeople (“Fast Track”). |
| RXO | ~18 | ~0 | Mostly a carrier perk — a fuel card (“save $1,000/mo”, priority freight). Almost no shipper-demand advertising. |
| Echo | 0 | 0 | Dark on paid — no active ads on either platform. |
| Landstar | ~79 | ~43 | Recruits independent freight agents (“open your agency”, “your business, your terms”) and owner-operators (“lease to Landstar”). No shipper-demand ads, no company drivers. |
Meta → drivers & brand (cheap leads + lifestyle video; where we already win on CPL). Google → both: driver intent and the shipper demand no one but CHRW is seriously capturing. LinkedIn / ABM → enterprise shippers, because brokers prove Meta is the wrong place to find them. AFC is the only one positioned to run asset-backed + woman-owned + transparent + anti-fraud across all three.
Build CHRW-style intent pages + ads for “flatbed / step-deck / heavy-haul / Mexico flatbed quote” — our wedge: “on our own trucks, not brokered out.”
Post real pay ranges, sign-on + retention bonuses, a one-minute apply, and separate creatives for company / lease-purchase / new-grad.
Copy Melton/PGT: POV/UGC reels, driver testimonials, a stability hook (“170+ trucks, 1,000+ shippers, we don’t disappear”) — not just lead forms.
Woman-owned (#realwomenintrucking is live), asset-backed vs broker-without-trucks, 19 Fortune 500, safety, family + transparent — unused in any competitor’s ads.
CRST runs ~600 creatives, CHRW/PGT ~200. Winners need many variations — and a monthly Ad-Library check turns rivals’ spend into our test ideas for free.
Three things break at once: speed (we are slow), persistence (one call, then nothing) and quality (few good conversations). All three are cheap to fix and run on tools we already have.
From our live FB + RingCentral dashboard. The offers and the ad spend are fine — the funnel breaks on speed, persistence and quality of follow-up.
1,180 leads in the window → called 523 (44.3%) → second call 337 (28.6%) → good calls 199 (16.9%). Average time to first call 1d 10h (median 15h 37m).
| Stage | Count | % of leads |
|---|---|---|
| Paid leads | 1,180 | 100% |
| Called at least once | 523 | 44.3% |
| Never called | 657 | 55.7% |
| Got a 2nd call | 337 | 28.6% |
| Good calls | 199 | 16.9% |
The three leaks: speed (median 15h 37m to first call), persistence (only 28.6% get a 2nd call — most leads are dialed once and dropped) and quality (only 16.9% become a good conversation). An effective ~$55 per good call (≈$9.30 ÷ 16.9%) — before any application or seated driver.
Lead conversion collapses with delay: roughly 70% within 5 minutes, ~50% by 30 minutes, ~20% within an hour, only ~5% after 24 hours. Calling within 5 minutes makes us ~21× more likely to qualify and ~100× more likely to connect than at 30 minutes, and ~78% go with whoever responds first. Recruiting also rewards persistence — 6–8+ touches is normal, not one call. Fixing speed + persistence + quality is the cheapest, fastest lever we have, and it runs on tools we already pay for (RingCentral + ClickUp + the Smart-Lead loop).
We knew our cost-per-lead ($9.30) but never the cost of a seated driver, or a driver’s lifetime value. Here is the model. The first gate is real data from our funnel; the rest are planning assumptions the team confirms (recruiting = Brian, margins = Tammy/Dennis). Move the sliders to see live cost, LTV and payback.
If we call fast and persist so good conversations rise, the same ad budget seats more drivers — throughput, not unit cost, is the prize.
How to read it. (1) Sequence the cheap checks (MVR/PSP) before booking any travel — every washout after a flight is the costliest money here. (2) Speed-to-lead barely changes unit cost but roughly doubles throughput from the same spend. (3) Scale Meta in tranches tied to a proven cost-per-seated-driver and the fleet-growth plan — not to match a rival’s absolute budget. Green = our real data; amber = a planning assumption the team must confirm before this drives a decision.
We read both driver pages (cd + lp) and compared them across the whole field — not just Melton.
80–82% gross beats PGT (~75%) and CRST owner-op (~67%); plus $0 down, no credit check and a walk-away lease — the opposite of the predatory leases drivers fear (around 77% never finish a lease-to-own). Transparency is the wedge.
Company driver (W-2): 27% of linehaul rising to 29% on performance; brand-new 2027 Kenworths; tarp pay $50/load; Comdata fuel card; breakdown pay; 24/7 dispatch; weekly direct deposit; pets; paid vacation; medical / dental / vision; on the road in 2–3 days. Illustrated earnings ~$86K (conservative) / ~$99.5K (realistic) / ~$113K (strong) a year.
Lease purchase / owner-operator: 80% of gross rising to 82% (LP) and 82–84% all-in (own truck); $0 down, no credit check, walk-away lease; insurance included; $0.22/gal fuel discount; $2,000 referral; a transparent take-home calculator that shows every deduction; one-time $115 to start.
| Carrier | Company-driver pay | Lease / owner-op | Notes |
|---|---|---|---|
| AFC | 27→29% of linehaul | 80→82% gross · OO 82–84% | $0 down · walk-away · transparent |
| Melton | 60–70¢/mi + $100/tarp + tuition | — | CPM model; strong tarp pay |
| TMC | ~percentage pay (98% of fleet) | — | employee-owned |
| PGT | ~25% of linehaul | ~75% gross + fuel surcharge | steel niche · 35 terminals |
| CRST | — | OO ~67% gross + FSC · $2,500 sign-on | — |
| Maverick / Western | recently raised CPM | walk-away · no credit check | — |
Our lease share (80–82%) sits above PGT and CRST, and the $0-down / no-credit / walk-away / fully-transparent structure is the opposite of the predatory leases drivers fear. Biggest gaps to close: tarp pay vs Melton, the "take-home" wording (it is pre-tax), and translating our % into cents-per-mile so drivers can compare us to CPM carriers.
Niche beats generalist. These match our equipment and the woman-owned key.
Coils, plate, structural — our equipment's core.
Oil & gas plus over-dimensional renewables.
Step-deck / RGN and project moves.
Building materials + supplier-diversity doors.
ICP (shipper / brokerage side): US manufacturers & distributors in steel/energy/machinery/infrastructure, $10M+ annual freight spend, recurring flatbed/step-deck/heavy-haul needs, value reliability + capacity + compliance over rock-bottom price; enterprise accounts with supplier-diversity programs are bullseye (woman-owned).
Personas: - "Transportation Manager Tom" — books freight daily; pain = capacity when it's tight, on-time, claims. Wants a carrier that answers and delivers. Reached via Google ("flatbed carrier"), referrals. - "Supply Chain Director Dana" — strategic, owns RFPs (Q4/Q1); pain = risk, diversification, cost predictability. Cares about supplier diversity & safety record. Reached via LinkedIn, case studies. - "Procurement / Diversity Lead Priya" — enterprise; needs certified woman-owned suppliers to hit targets. AFC's certification is the door-opener. - Driver/Capacity side — "Owner-Op Marcus" & "Company Driver Chris" — pain = pay, home time, equipment, respect; drawn to lease-purchase path (our /lease-purchase page is the #2 most-visited — real demand). Reached via Facebook/YouTube/TikTok + referrals.
Shipper journey: Trigger (rate spike, contract expiry, capacity scare) → Search (Google "flatbed/heavy-haul [vertical]") → Evaluate (our site, reviews, woman-owned, safety) → Quote (request-a-quote / call) → Onboard (McLeod) → Retain/Expand (cross-sell carrier↔brokerage). Today the funnel breaks at Search (we rank page 2–4) and Quote (no tracking).
Driver journey: Awareness (Facebook/YouTube/driver UGC) → Consideration (pay, lease-purchase, reviews) → Apply (Tenstreet) → Seat → Retain (career path, referrals). Today apply isn't tracked (GA4 key events = 0) → can't compute cost-per-seated-driver.
Fix points are explicit and map 1:1 to the action plan (§16).
Asset-light, demand-limited, and sitting on a wedge no mega-broker has. It already has a real sales org — a VP of Brokerage Ops, carrier sales reps and account managers — but it has grown opportunistically — cold calls, reps hired with their own book of business, the USPS account and referrals — with $0 advertising and no repeatable demand engine, so almost every modern channel is upside.
170 real trucks behind us — guaranteed capacity and recourse when pure brokers can't cover.
Certified — opens supplier-diversity RFPs none of the mega-brokers can enter.
Fair, vetted, no double-brokering — the answer to the fraud & hidden-margin distrust hurting the industry.
Steel, energy, building materials — the freight the van/LTL megas under-serve.
The brokerage already has a real sales org — a VP of Brokerage Ops, carrier sales reps and account managers — but it grew opportunistically — cold calls, reps who came with their own book of business, the USPS account and referrals — with $0 advertising and no repeatable demand engine. Inbound, ABM, win-back and a unified customer view don't exist yet — and warm leads close ~14–15% vs ~2–5% cold. We earn the spread (~15%); we just haven't built a demand engine.
| Player | Real data | Weak spot / what they miss |
|---|---|---|
| C.H. Robinson (#1) | ~$16.2B rev (2025); 75,000 customers; 450,000 carriers; ~14.6% surface margin; Navisphere + 30+ AI agents, ~85% of quotes automated | Impersonal giant; commodity feel; ~$1M rev/employee vs $3–4M at lean brokers |
| TQL (#2) | ~$8.5B rev (2024); 9,000+ staff; 160,000 carriers; ~3.6M loads; cradle-to-grave | Volume over relationships; 40%+ sales turnover; transparency scandal (44% margin on a load); high-pressure reputation |
| RXO + Coyote (#3) | Bought Coyote for $1.025B (2024); 13–15% margin; ~$2B Managed Transportation pipeline | Integration risk; thin profit in the soft market; van/LTL-centric |
| Echo | ~$3B (2024 est.); private; 50,000+ carriers; tech-first | Tech-first can mean less personal service |
| Landstar | ~$5B; ~11,000+ owner-ops via an agent network | No centralized demand marketing; no enterprise woman-owned access |
| Digital pure-plays | Convoy shut down (2023); Transfix sold its brokerage to NFI; Uber Freight pivoted to managed services | Pure-digital is costly and carriers resist it — hybrid wins |
| Mid-market asset-backed | Owned-fleet backing; strict carrier vetting; dedicated account managers | This is AFC's own model — we add woman-owned + flatbed on top |
| Pain (real, current) | Our answer |
|---|---|
| Fraud / double-brokering / identity theft — called an existential threat | Asset-backed real capacity + vetted carriers + we can move it on our own trucks |
| Capacity unreliability in a volatile market | 170-truck fleet as a guaranteed fallback |
| Margin-transparency distrust (the 44% case) | Fair, transparent posture |
| ~8,000 brokers + ~88,000 carriers failed in 2023 | Family-owned, established, asset-backed, financially stable |
| Mega-brokers feel impersonal / commodity | Personal, dedicated, niche service |
| No woman-owned among the majors | Certified woman-owned → supplier-diversity RFP doors |
| Flatbed / open-deck under-served | Flatbed / steel / energy specialist |
1 · Dream-100 ABM — 100 named high-value shippers per vertical, multi-touch (call + email + LinkedIn + direct mail + a one-pager). Tools: Clay + ZoomInfo + HubSpot.
2 · Inbound (greenfield) — Google Search + SEO/AEO on high-intent terms (flatbed carrier, steel hauling, heavy-haul, woman-owned freight) + vertical landing pages.
3 · LinkedIn ABM — target Transportation/Logistics Manager, Procurement, Supply Chain Director with the asset-backed + woman-owned proof.
4 · Supplier-diversity / RFP registries — WBENC + corporate diversity portals; near-free enterprise doors.
5 · Win-back + cross-sell — sequences to the dormant base; route shared accounts across the two TMS.
6 · Marketplace graduation — find consistent-volume shippers on DAT, then approach them directly.
7 · Referral / partner — incentivized referrals; alliances with warehouses / 3PLs for overflow.
8 · "Plan B" positioning — enter accounts as the reliable asset-backed second source.
9 · Productize "Managed / Dedicated Flatbed" — stickier, higher-margin repeat-lane revenue.
| Job | Tool |
|---|---|
| Build & enrich Dream-100 lists | Clay + ZoomInfo |
| Multi-touch outreach, sequences, lead scoring | HubSpot (already owned) |
| Account research, email & proposal drafts, quote follow-up | Claude |
| Speed-to-lead on inbound quotes (minutes) | HubSpot workflows + auto-routing |
| Call recording, summaries & coaching | Gong / CloudTalk-class |
| Carrier vetting / anti-fraud | Vetting tool + RMIS |
| Attribution: channel → load → margin | HubSpot + BI |
| Unified customer view (PowerBroker + McLeod) | RevOps (KIV) |
Cost per acquired shipper & CAC payback vs margin-per-shipper · new shipper logos / quarter per vertical · close rate by channel (inbound ~14–15% vs cold ~2–5%) · margin per load & gross-margin % trend · dormant accounts reactivated · cross-sell shared accounts · speed-to-quote on inbound · revenue retention / repeat rate.
Competitor facts paraphrased from public filings, earnings releases and industry reporting; figures are planning estimates for owner decisions, not financial advice.
We’re proposing to fund a shipper-demand engine that doesn’t exist yet. This is the math behind that decision: spend → qualified leads → won shippers, then CAC, payback, break-even and lifetime value. One input is a real benchmark; the rest are planning assumptions the team confirms (margin = Tammy, close-rate & revenue/shipper = Jason). Move the sliders to pressure-test it.
Cold calling closes ~3%; warm inbound/SEO ~14%. The same spend wins several times more shippers — which is the entire case for building demand instead of dialing.
How to read it. (1) Payback tells the owners how fast a shipper repays the cost to win them; under ~6 months is strong. (2) Break-even is the number of active shippers that covers the whole monthly cost — past that, the engine prints spread. (3) The close-rate slider is the heart of the case: moving demand from cold (~3%) to warm (~14%) multiplies wins on the same budget. Green = a real benchmark; amber = a planning assumption the team must confirm before this drives a decision. Margin is measured on the spread, never gross freight.
Important but operational — handled alongside the growth work, not before it.
afctransport.com, driveafc.com and afclogistics.com compete for our own name — the "main" site loses.
People search "afc tracking" (68 clicks) but there's no page — lost demand and trust.
Ugly ?page_id URLs and a www split waste tens of thousands of impressions.
?page_id URLs.How: redirects + clean canonical URLs (in-house dev). · Gives us: recovers tens of thousands of wasted impressions. · Cost: ~$0 (internal).The headline problem — three sites fight for one brand (real numbers): - "afc transport": driveafc.com #1.5 vs afctransport.com #3.95 vs afclogistics.com #8.46 (5,342 impressions) — we beat yourself. - afclogistics.com owns "afc logistics" (#1.77, 1,191 clicks, 30% CTR) and "all freight carriers." - afctransport.com = "sleeping giant": ~182,000 impressions, only ~2,065 clicks (page 2–4, ~1% CTR). - driveafc.com: ~8,500 clicks/62,000 impr, holds the brand for drivers; www vs non-www split (5,381 vs 2,760).
Other real findings: - Unmet "tracking" demand: "afc tracking" 68 clicks — no tracking page exists. - Brand confusion in actual queries: "all freight carriers inc" (48), "afc worldwide express" (14), "afc companies" (36) — people mix us with other AFCs. → disambiguation/brand task. - Content gaps: reefer/owner-op/flatbed pages on driveafc get 37–44K impressions at positions 6–11 (optimize); shipper queries rank page 6–9. - Junk traffic: India 308 / Pakistan 47 clicks (exclude in ads).
Verdict: consolidate to afctransport.com with a 301 map; build vertical + tracking pages; fix the brand-confusion and www split.
Quick wins (now, pre-migration):
- Fix www/non-www on driveafc; kill the ugly WordPress URLs bleeding impressions (?page_id=45 = 14,965 impr / 0.07% CTR; ?page_id=43 22,480; ?page_id=48 10,841) — set proper indexable URLs/canonicals.
- Fix the /flatbet-services/ typo URL.
- Build a shipment-tracking page (captures "afc tracking" demand).
Capture demand already in our data (real keywords to target): - Brand/local shipper: "logistics companies tampa" (2,426 impr, pos 8), "logistics companies in florida," "logistics companies in usa," "logistic companies near me." - Service/vertical: "flatbed freight companies," "flatbed hauling companies," "reefer freight company," "heavy haul [vertical]," "step deck shipping" (we rank page 6–9 — big upside).
AEO / AI-search: structure pages with clear Q&A, data, FAQs, schema so we're cited in Google AI Overviews/ChatGPT/Perplexity. Use Frase/Surfer + Claude. Build authority via directory listings + industry PR.
| Layer | Today | Gap → fix |
|---|---|---|
| TMS | McLeod LoadMaster (carrier) + PowerBroker (brokerage) — 2 separate instances | No unified customer view → integration / shared customer key; one source of truth |
| CRM | none for marketing | HubSpot (free + Breeze AI) or McLeod CRM — pipe all leads in |
| Web analytics | GA4 present but Key events = 0 | Stand up conversion tracking (quote + Tenstreet apply) |
| Attribution | none | UTM + GA4 + CallRail; source→quote→win |
| Recruiting | Tenstreet/IntelliApp | Wire apply events + referral links into GA4/CRM |
| Telematics | Samsara | Fine; feed reliability/safety proof into marketing |
| Site | WordPress (3 domains) | Consolidate; clean IA; tracking page |
| Automation/AI | none | Zapier/Make + Frase + Clay + Semrush (see §16) |
Biggest gap: no measurement + two siloed McLeods = we can't see cost-per-lead, cost-per-seated-driver, or cross-sell. Fix first.
| Domain | "afc transport" pos | Clicks / Impressions |
|---|---|---|
| driveafc.com | 1.5 | ~8,500 / 62,000 |
| afctransport.com | 3.95 | ~2,065 / 182,000 (~1% CTR) |
| afclogistics.com | 8.46 | ~3,087 / 72,500 |
?page_id=45 14,965 impr/0.07% CTR; www vs non-www split. Junk: India 308, Pakistan 47.An honest look at what we have not measured, validated or decided yet. Closing these is what makes every demand play pay off.
Both engines leak at the bottom — driver turnover and client churn. Plugging that is the cheapest growth we have, and we've barely touched it.
The new FB + RingCentral dashboard is the start. Next: cost-per-seated-driver, margin by lane/client, client churn, revenue concentration.
Max profit, stability, or grooming for a sale? The answer changes the whole plan — and we haven't aligned on it yet.
Every assumption here comes from dashboards. A few real conversations validate — or kill — them for almost nothing.
A small team can't run everything at once. Do the free, high-leverage fixes first; add channels after.
None of this means the plan is wrong — it means we close these gaps first. Fix retention, measurement, focus and the real goal, and every demand play we've mapped pays off far harder.
1 · Retention, not just acquisition. We optimized the top of both funnels (leads, offers, channels) and barely touched the bottom. Driver tenure in the industry is ~1 year; the brokerage has dormant/churned accounts. Fix: driver 30/60/90-day check-ins with logged exit reasons; client QBRs and at-risk alerts; systematic win-back. Lower turnover & churn is the cheapest growth there is.
2 · Measure the few numbers that matter. The new dashboard already shows spend, CPL, call speed and good-call rate — a real start. Fix: extend it to cost-per-seated-driver, margin per lane & per client, client churn rate, and revenue concentration (what % sits in the top 5 customers). We can't optimize what we don't see.
3 · Decide the destination. Maximum profit, stability, lifestyle, or grooming for a sale each imply a different plan (clean EBITDA vs. margin vs. volume). Fix: one alignment session with Steven & Kate to pick the goal and the 12-month target — then every other decision sorts itself.
4 · Talk to real drivers and shippers. Everything here is inferred from dashboards and competitors. Fix: 10 driver interviews (why they joined / stayed / left) and 10 shipper interviews (why they buy / would leave). The cheapest possible validation of our whole thesis.
5 · Focus over more channels. The bottleneck is hands, not ideas — a small team plus 1–2 hires can't do speed-to-lead, inbound, ABM, win-back, brandbook and a site migration all at once. Fix: sequence ruthlessly — the free, high-leverage fixes (call speed / persistence / quality, win-back, measurement) before new channels, brandbook and migration.
Carrier capacity for the brokerage. A broker's ceiling is a reliable, vetted carrier network — not just shippers. In a market where fraud is an existential threat, a vetted network is an asset. We focused mostly on demand; build the capacity side too.
Brand = trust, not a logo. In an industry where ~8,000 brokers failed in 2023 and fraud is rampant, AFC's real product is trust — own trucks, family-owned, transparent, woman-owned. The brandbook must encode a trust strategy, not just colors and fonts.
Each item shows why we ask it and what answering it unlocks, then where we stand today, a status, an owner and any backing file. Answer right under each one — and attach a file if it helps. Status: Answered · Confirm · Need from team · Partial · To build.
Note: attaching a file records its name with your answer for now. When the site is final, all answers and files will sync into a shared Google Sheet and a Google Drive folder — that part comes later.
One clear sequence. Brandbook and the unified site run in parallel (see the Action Plan at the end).
| Year 1 (2027) — Build & prove | Year 2 (2028) — Scale | Year 3 (2029) — Lead | |
|---|---|---|---|
| Demand | Stand up tracking/CRM; launch Google+LinkedIn; first attributed pipeline | Scale on proven CAC; full ABM in Tier-A verticals | Category authority; inbound-led growth |
| Brand | Consolidate to afctransport.com; fix brand confusion | Vertical content engine + AEO leadership | #1 specialized brand in target verticals |
| Drivers | UGC + lease-purchase marketing; measure cost/seated-driver | Scale UGC; improve retention | Employer-of-choice brand |
| Sales | Hire AE/SDR; define motion; cross-sell pilot | Repeatable playbook; grow AE team | Multi-threaded enterprise accounts |
| Ops/Tech | Unify customer view; AI automation live | Automation across funnel | Data-driven RevOps maturity |
| Target | Marketing 1%→ first real pipeline; brokerage +20–30% | Compounding growth | Durable, diversified growth |
Q1 — Foundation + first demand. Tracking/CRM live; Google + LinkedIn tests; quick SEO fixes; first KIV hires; launch driver-UGC pilot; keep Facebook. (Full weekly detail in AFC-Transport-Q1-Media-Plan.md.)
Q2 — Sales + scale. Hire shipper AE + SDR; define sales motion; scale winning channels; ABM in steel/energy; build & stage new site; cross-sell pilot.
Q3 — Engine. Content/AEO engine; reviews program; scale UGC; launch consolidated site (safe 301 migration); repeatable playbook.
Q4 — Optimize. Drive CAC down; expand AE team; directories/Top-listings; set 2028 budget from real data.
Sales targets to set (none exist today): cost-per-acquired-shipper, new logos/quarter/vertical, cost-per-seated-driver, cross-sell %, MQL→SQL→win rate.
Cadence (lean, AI-assisted): 4–6 blog/vertical pages per month, weekly LinkedIn (company + Steven/Kate), 2–3 driver UGC clips/week (YouTube/TikTok/IG/FB), monthly case study, quarterly webinar, monthly newsletter.
| Month | Shipper theme (LinkedIn/blog) | Driver theme (FB/YT/TikTok) |
|---|---|---|
| 1 | "Flatbed capacity in a tightening market" | Day-in-the-life; lease-purchase explained |
| 2 | Steel/metals shipping guide | Pay & home time; driver story |
| 3 | Woman-owned / supplier diversity | Equipment & tarping tips |
| 4 | Energy & wind logistics | Owner-op path; referral push |
| 5 | Heavy-haul / project cargo | Safety culture; veteran focus |
| 6 | Case study: a Fortune 500 win | Top-creator spotlight |
| 7–12 | Rotate verticals + RFP-season pieces (Q4) | Repeat best performers; scale UGC |
Repurpose each pillar into LinkedIn posts, clips, and newsletter items (Claude/Canva/Arcads).
Purpose of Q1: stand up the missing shipper-demand channels (Google, LinkedIn), prove cost-per-lead and cost-per-acquired-shipper, and keep driver recruiting strong — all on the new, additive budget. Facebook (drivers) is held separately and unchanged. Illustrative targets for planning; optimize against real data. Not financial advice.
Prerequisites (must be live before/with week 1): GA4 key events (quote form + Tenstreet apply), call tracking on both phone numbers, CRM receiving leads, UTM tagging. (Full setup steps are in the KIV Execution Playbook.)
| Channel | Q1 total | Role |
|---|---|---|
| Google Search | ~$24,000 (ramp $6K→$10K/mo) | Capture in-market shipper + driver demand |
| ~$12,000 ($4K/mo) | Reach B2B shipper decision-makers in Tier-A verticals | |
| Content/creative + tools | ~$6,000 | Landing pages, ad creative, SEO/automation tools |
| Q1 new spend | ~$42,000 | |
| Meta/Facebook (drivers) | $60,000 (held, unchanged) | Tracked separately as today |
Phases: Wk 1–2 setup & soft launch → Wk 3–8 test & read → Wk 9–13 scale winners.
| Week | Focus | ||
|---|---|---|---|
| 1 | $1,000 | $500 | Launch 2 Google campaigns (shipper + driver); LinkedIn brand/awareness warm-up |
| 2 | $1,200 | $700 | Add ad-group variations; install LinkedIn lead-gen form |
| 3 | $1,400 | $900 | First optimization; pause weak keywords |
| 4 | $1,400 | $1,000 | Add vertical ad groups (steel, energy) |
| 5 | $1,600 | $1,000 | Read CPL by channel; shift budget to winners |
| 6 | $1,600 | $1,000 | Add heavy-haul + machinery terms |
| 7 | $1,800 | $1,000 | Negative-keyword sweep; landing-page A/B |
| 8 | $1,800 | $1,000 | Mid-quarter review (CPL, lead quality, SQLs) |
| 9 | $2,200 | $1,000 | Scale top campaigns; raise budgets on best CPAs |
| 10 | $2,200 | $1,000 | Expand match types on proven keywords |
| 11 | $2,400 | $1,000 | Add retargeting (site visitors → quote) |
| 12 | $2,400 | $1,000 | Layer LinkedIn ABM to enriched target list |
| 13 | $2,200 | $900 | Q1 readout → set Q2 scale plan |
| Total | ~$23,400 | ~$12,000 |
Run as two separate campaigns so shipper and driver budgets/metrics never mix.
Goal: quote requests. Bidding: start Manual/Max-clicks, switch to Max-conversions/tCPA after ~15–20 conversions. Target CPA (lead): $80–150 to start; cost-per-acquired-shipper target set after pipeline data.
| Ad group | Example keywords (phrase/exact) | Landing page |
|---|---|---|
| Flatbed carrier | flatbed carrier, flatbed trucking company, flatbed shipping company, flatbed freight services | /services/flatbed |
| Step-deck / Conestoga | step deck carrier, step deck shipping, conestoga trucking, conestoga carrier | /services/step-deck |
| Heavy-haul / oversized | heavy haul trucking company, oversized load carrier, over dimensional freight, heavy equipment hauling | /services/heavy-haul |
| Reefer | refrigerated trucking company, reefer carrier, temperature controlled freight | /services/reefer |
| Brokerage / capacity | freight broker flatbed, find a flatbed carrier, flatbed capacity, third party logistics flatbed | /logistics |
| Vertical: steel/metals | steel hauling company, metal freight carrier, steel transport company | /industries/steel-metals |
| Vertical: energy | oil and gas freight, wind turbine transport, energy equipment hauling | /industries/energy |
| Vertical: machinery | industrial machinery transport, equipment shipping company | /industries/machinery |
| Vertical: infra/federal | construction materials hauling, government freight carrier, infrastructure logistics | /industries/infrastructure |
Goal: Tenstreet applications. Target CPA (application): $30–60; re-baseline to cost-per-seated-driver.
| Ad group | Example keywords | Landing page |
|---|---|---|
| Flatbed CDL jobs | flatbed driving jobs, flatbed cdl jobs, flatbed trucking jobs near me | /drive (apply) |
| Owner-operator | owner operator flatbed, owner operator trucking jobs, lease on flatbed | /drive/owner-operators |
| Lease-purchase | lease purchase trucking, lease to own truck driving | /drive/lease-purchase |
| Company driver | company truck driver jobs, otr flatbed jobs | /drive/company-drivers |
free, salary, school, training, how to become, games, gov, india, pakistan, hrtransport, afc.hrtransport.gov.in, tracking number (for shipper campaigns add jobs, driver, cdl, apply, hiring, salary; for driver campaigns add quote, broker, rates).
| Setting | Recommendation |
|---|---|
| Objective | Wk1–4 Website visits/Engagement (cheap learning) → then Lead Gen Form |
| Job titles | Logistics Manager, Transportation Manager, Supply Chain Director/Manager, Procurement Manager, Shipping Manager, VP Operations |
| Functions/seniority | Operations, Purchasing, Supply Chain · Manager+ |
| Industries | Primary Metals/Steel, Machinery, Oil & Gas/Energy, Renewables, Construction, Building Materials, Industrial Manufacturing |
| Company size | 200–10,000+ (mid-market & enterprise shippers) |
| Geo | US (focus on industrial corridors: Midwest, Gulf, Southeast) |
| Creative angles | (1) Woman-owned / supplier diversity → enterprise & RFP teams; (2) Asset-backed + brokerage flexibility ("we say yes when carriers say no"); (3) specialized capability proof (heavy-haul, Conestoga); (4) reliability/safety record |
| Target cost | Cost-per-lead higher than Google ($150–350 typical B2B); judge on lead quality / SQL, not raw CPL |
Organic (free) in parallel: post 2–3×/week from the company page + leadership (founders) — vertical wins, woman-owned story, driver/equipment content. Feeds the ads with credibility.
/services/* (flatbed, step-deck, heavy-haul, reefer) — each with a request-a-quote form above the fold./industries/* (steel-metals, energy, machinery, infrastructure) — vertical proof + quote form./logistics — brokerage value prop + woman-owned + capacity request./drive + sub-pages — Tenstreet apply embedded.| Metric | Q1 goal |
|---|---|
| Google shipper CPL | establish, then ≤ $150 |
| Google driver cost/application | establish, then ≤ $60 |
| LinkedIn lead quality (→ SQL rate) | establish baseline |
| Quote requests captured (was 0 tracked) | a real, growing weekly number |
| Pipeline created (MQL→SQL→quote) | first attributed pipeline ever |
| Lead → CRM in < 5 min (speed-to-lead) | automated routing live |
Cadence: weekly optimization (keywords, bids, negatives, creative); bi-weekly channel read; week 8 mid-quarter review; week 13 Q1 readout → Q2 scale plan. Automate the weekly report (GA4 + Google Ads + LinkedIn → one dashboard; see Playbook §AI).
Q1 media plan for AFC brand consolidation & growth. Budgets/CPAs are starting assumptions to validate with live data — not financial advice. June 2026.
This is a hands-on "how to build it" guide for the in-house team in Chișinău. Part A is the cheap, proven recruiting engine (modeled on Melton's award-winning program). Part B is the measurement + automation foundation that makes every dollar accountable and lets a small team run like a big one.
Why: Melton pays drivers to post YouTube/TikTok videos and reported ~56% more referral applications and a ~4:1 app-to-hire ratio — at almost no media cost. We already produce driver-story content; we just need to formalize, incentivize, and track it.
| Role | Who | Job |
|---|---|---|
| Program coordinator | KIV marketer | Recruit creators, set monthly briefs, collect/edit clips, schedule, track payouts |
| Recruiter liaison | Recruiting (US) | Call promising referral leads fast; confirm hires for bonuses |
| Approver | Marketing lead/marketing lead | Brand-voice & compliance check before posting |
| KPI | How tracked | Target (set baseline first) |
|---|---|---|
| Referral applications | Tenstreet personalized links | Up month-over-month |
| App-to-hire ratio | Tenstreet → ATS | Toward ~4:1 (Melton benchmark) |
| Cost per hire via program | payouts ÷ hires | Below Facebook cost/seated-driver |
| Content output | clips posted vs plan | ≥ 90% of cadence |
| Engagement/reach | platform analytics | Growing; identify top creators |
Goal: make every lead measurable and route it automatically, and give the small KIV team an "AI department." Build in this order.
Step 1 — Google Tag Manager (GTM). Install one GTM container on all AFC sites (and the consolidated site later). All tags live here.
Step 2 — GA4 key events. In GA4, create these as key events (conversions):
- generate_lead — fires on request-a-quote form submit (shipper).
- driver_apply — fires on Tenstreet application submit/redirect (driver).
- phone_call — from call tracking (Step 4).
- quote_start (optional) — form started, for funnel analysis.
Step 3 — Form tracking. In GTM, add a trigger on each form's submit/"thank-you" page → fire the matching GA4 event. For Tenstreet (off-site), track the click/redirect to the apply URL and, where possible, the completion postback from Tenstreet.
Step 4 — Call tracking. Add CallRail (or similar): dynamic number insertion swaps the displayed phone number so calls are attributed to source (Google/LinkedIn/organic). Push call conversions into GA4 + Google Ads.
Step 5 — Connect ad platforms. Link Google Ads and GA4; import generate_lead/driver_apply as conversions so bidding optimizes to real outcomes. Add the LinkedIn Insight Tag for LinkedIn conversions.
Step 6 — UTM discipline. Every paid link uses consistent UTMs (utm_source/medium/campaign/content). Build a saved UTM template so the KIV team tags links the same way every time.
Step 7 — Verify. Use GA4 DebugView + Google Tag Assistant to confirm each event fires once, correctly, before spending scales.
Step 1 — Pick the CRM. HubSpot (free tier + AI "Breeze" agents) is the fastest path for marketing; or integrate leads into McLeod if leadership prefers one system. Decide once.
Step 2 — Pipe every lead in. Web forms → CRM contact/deal automatically (native or via Zapier/Make). Capture source + UTM on each lead.
Step 3 — Speed-to-lead routing. Automation: new shipper lead → assign owner → Slack/Email alert in < 5 min → task to follow up. (Speed-to-lead is the single biggest win-rate lever.)
Step 4 — Lifecycle stages. Source → MQL → SQL → quote (McLeod) → won/lost. This is the funnel the whole plan is measured on.
| Agent / workflow | Tool(s) | Setup in one line |
|---|---|---|
| Content + SEO/AEO | Frase or Surfer + Claude/ChatGPT | Brief → optimized draft for /services & /industries pages → human edit → publish |
| Ad & UGC video | Arcads + Canva | Turn winning scripts/clips into ad variants for drivers (and shipper testimonials) |
| Workflow automation | Zapier or Make (or n8n) | Wire forms → CRM → Slack; auto-create tasks; sync data between tools |
| Competitor + ad monitor | Semrush + Zapier/agent | Monthly: pull competitors' keywords + their live ads (Facebook Ad Library, Google Ads Transparency) → auto-draft a 1-page brief to Slack |
| ABM / list building | Clay + ZoomInfo | Build & enrich Tier-A shipper target lists; personalize outreach fields |
| CRM agents | HubSpot Breeze | Prospecting, social posting, reporting agents inside the CRM |
| Reporting | GA4 + Looker Studio + Claude | One auto-updating dashboard (spend, CPL, leads, pipeline) + weekly written summary |
Competitor-ad check (manual or automated) — direct links:
- Facebook/Instagram ads: facebook.com/ads/library
- Google/YouTube ads: adstransparency.google.com
- LinkedIn ads: competitor Page → "Ads" tab
- TikTok ads: TikTok Creative Center
KIV Execution Playbook for AFC. Tool names are examples/options for the team to evaluate — not endorsements or financial advice. June 2026.
2027 plan — additive, funded as investment, scaled on proven cost-per-lead. Approved by Steven & Kate.
+ People (mostly KIV) ~$200–320K · migration agency ~$15–30K.
All-in ~$680–810K — under 1% of revenue.
| # | Workstream | Owner | First concrete actions |
|---|---|---|---|
| A | Measurement/RevOps | RevOps (Dennis) + marketing | GA4 key events (quote + Tenstreet apply), CallRail, CRM, UTM — do first |
| B | Shipper demand | Performance Marketer (KIV) + sales | Launch Google + LinkedIn (real keywords from §8); ABM in steel/energy |
| C | Driver capacity | Marketer + Recruiting (Brian) | Keep Facebook; launch UGC; market lease-purchase; referral links |
| D | Brand/site | Dev (in-house) + marketing | Quick SEO fixes now; build IA; 301 migration later |
| E | Sales motion | New AE/SDR + Brokerage Ops (Jason Stewart) | Speed-to-lead routing; buying-committee playbook; cross-sell |
Content/SEO → Frase + Claude · UGC video → Arcads/Canva · forms→CRM→Slack → Zapier/Make · ABM lists → Clay+ZoomInfo · competitor/ad monitoring → Semrush + monthly auto-brief · CRM agents → HubSpot Breeze · reporting → GA4+Looker+Claude. Human keeps: strategy, brand voice approval, relationships, sales calls. Agency only for: the one-time site migration.
Cost-per-acquired-shipper · new shipper logos/quarter/vertical · brokerage net-revenue +20–30% · cost-per-seated-driver −15–25% · cross-sell shared accounts · organic clicks (capture the earned impressions) · MQL→SQL→win.
| Line | 2026 now | 2027 plan |
|---|---|---|
| Meta/Facebook (drivers) | $240K | $240K (hold) |
| Google Search | $0 | ~$108K |
| $0 | ~$48K | |
| Content/creative/UGC | ~$0 | ~$36K |
| MarTech + AI tools | ~$0 | ~$30K |
| Media + tools | ~$240K | ~$462K |
| People (new, mostly KIV) | 1 marketer | +~$200–320K |
| Migration agency (one-time) | — | ~$15–30K |
| All-in | ~$240K | ~$680–810K (<1% of revenue) |
Most of the team already exists — sales, marketing, BI, IT and operations. We add a small demand-generation layer in KIV and let AI agents do the repetitive volume, so we hire fewer people. Agency only for the one-time site migration.
Runs Google + LinkedIn; optimizes Meta. New capacity under the existing marketing function.
Vertical pages, organic, AI-search.
Connect the two McLeods + PowerBroker into one customer view. Dennis already owns BI & process — add analyst capacity only if needed.
One seller whose only job is net-new shippers — complementing the existing carrier-sales + account-management team, which covers loads and farms current accounts but does not hunt new demand.
Facebook ↔ ClickUp ↔ Meta: every hire feeds an "approved" signal back so Meta learns our ideal driver. Clean, fast recruiter data fuels it.
Current (real): ops-deep, commercial-thin. Marketing = 1 person (KIV) under VP Technology & Operations (Tom Black) — a side task today, with no dedicated owner of net-new shipper revenue. Key people: Tim Johnson (KIV GM), Jason Stewart (VP Brokerage Ops), Devin Reese/Javier Atristain (CS), Len Tyrrell (President)/Frank Miranda (Regional Sales), Brian Farrell (Recruiting), Denise Lagunas (Safety), Dennis Mandraburca (BI). Sales today: Jason Stewart (VP Brokerage Ops) + Frank Miranda (Regional Sales) + carrier sales reps & account managers — but no clear owner of net-new shipper demand.
Target (build the demand engine under a clear commercial owner — mostly KIV): - A clear commercial owner (to be named) owns marketing + shipper sales + RevOps. - + Performance Marketer (KIV) — Google/LinkedIn/Meta. (enabling hire) - + Content/SEO/AEO (KIV) — vertical pages, organic, AI-search. - + RevOps/Mktg-Ops (KIV) — attribution, unify McLeods, automation. - + Shipper AE(s) + SDR (US) — net-new shipper revenue. - Driver-UGC coordinator (can be the KIV marketer initially). AI agents reduce how many people we need; KIV keeps cost low.
| Need | Recommended (evaluate) |
|---|---|
| Conversion tracking / tags | GA4 + Google Tag Manager + CallRail |
| CRM + AI agents | HubSpot (Breeze) or McLeod CRM |
| SEO/AEO content | Frase or Surfer + Claude/ChatGPT |
| UGC / ad video | Arcads, Canva (Magic Studio), CapCut |
| Automation / orchestration | Zapier / Make / n8n |
| ABM / data enrichment | Clay + our ZoomInfo |
| Competitor & ad monitoring | Semrush/Ahrefs + Ad Library links |
| Recruiting | Tenstreet/IntelliApp, ZipRecruiter, Jobs in Trucks |
| Site migration (one-time agency) | specialist for 301 redirects + technical SEO |
| Reviews | Google Business, CarrierSource |
| Ad libraries (free) | facebook.com/ads/library · adstransparency.google.com · LinkedIn Ads tab · TikTok Creative Center |
Today: no shipper-demand funnel, no CRM, no attribution; "carrier sales reps" actually procure capacity (not shipper sales); no clear owner of net-new shipper revenue (no dedicated owner yet — to be decided).
Target motion: Inbound/ABM → CRM → SDR (speed-to-lead < 5 min) → AE discovery → quote in McLeod → close → onboard → CS + cross-sell. Map the 6–10-person buying committee (Transportation Mgr = service stats; CFO = cost/detention; Procurement = woman-owned).
RevOps fixes: unify the two McLeod customer views; lifecycle stages (Source→MQL→SQL→Quote→Won); automated routing + reporting; track the KPIs in §11. Owner: Dennis Mandraburca (BI) + marketing.
Each workstream has an owner, the AI agents that do the heavy lifting, a budget and a timeline. They run at the same time — not one after another.
One brand — AFC Transport. We do not redesign the logo; we build a premium system around it, in order: foundation first, the website last. A strict, scalable system at the level of Uber / Microsoft / Airbnb.
One idea holds it together: we don't redesign the logo — we build a world around it. One brand: AFC Transport (driveafc and the brokerage fold under it). Built in order — foundation first, applications second, the website last — so nothing gets rebuilt.
Lock the core (one brand = AFC Transport), name a Brand Owner, set one file repo, gather logo master files.
Mission, vision, values, positioning & USP, the three audiences (drivers · shippers · enterprise), archetype (Builder + Leader).
Usage rules, minimum sizes, safe space, monochrome, dark/light backgrounds, forbidden uses, and adaptations for web / fleet / docs / social.
Color (red #f61824 + neutrals), two fonts, UI colors, WCAG contrast — packaged as reusable design tokens.
Lines, shapes, logo-derived patterns, an icon set, infographic style, and a data / route / movement style for logistics.
Real trucks, drivers at work, dispatch & tech — cinematic, clean, industrial. No stock. We shoot our own.
Confident, technical, simple — no marketing noise. Verbal identity, tagline, and messaging per audience.
Business cards, presentations, documents, email signatures, quote / RFP templates.
Truck, trailer and service-vehicle livery; logo placement & scaling; night visibility. Pilot on 1–2 trucks, then roll out.
Social templates, an ads design system, LinkedIn corporate style, recruitment visuals.
UI components + tokens, page templates, conversion patterns — and the spec for one unified afctransport.com.
Publish living guidelines, set ownership & update rules, train the teams, review consistency quarterly.
Each block lists its tasks, what it produces (the deliverable), which team uses it next, and what it depends on. Build top-to-bottom: foundation → system → language → applications → website → governance. Templates, fleet and the website are built last, from the finished system, so nothing gets rebuilt. Key idea throughout: we don't redesign the logo — we build a world around it.
Lock the brand core (one brand = AFC Transport; red #f61824 leading; two candidate fonts; the company goal). Name a Brand Owner. Set up one file repo (Figma + a brand drive). Collect clean logo master files (vector). Output: a signed one-page Brand Core + an owner + the repo. For: every block. Depends on: —
Define mission, vision, values; positioning & USP (asset-backed + woman-owned + transparent + flatbed specialist); three audience profiles — drivers, shippers/brokers, enterprise — each with its pain and message; the brand archetype (Builder with a Leader edge). Output: Brand Foundation document. For: recruiting, sales, marketing — and every block below. Depends on: 0
From the existing logo: usage rules, minimum sizes, safe space, monochrome versions, behavior on dark/light backgrounds, forbidden uses, and ready lock-ups adapted for web, transport, documents and social. Output: Logo Guidelines + the version files. For: blocks 7, 8, 9, 10. Depends on: 0 (logo masters)
Color palette (red #f61824 + neutrals) with HEX/RGB/CMYK; UI colors and states; corporate (print/transport) colors; two fonts (a geometric headline face + a readable text/UI face) with selection criteria; contrast to WCAG AA. Output: design tokens (color / type / spacing). For: blocks 4–10, especially the website. Depends on: 1
Lines / shapes / geometry derived from the logo; patterns from logo elements; a unified icon set; an infographic style; a data style for logistics (routes / movement / flow). Output: graphic library + icons. For: proposals, social, website, presentations. Depends on: 3
A shooting guide: real trucks and freight, drivers at work, the dispatch/office and technology; cinematic, clean, industrial; no stock. Then organize a real shoot (a day at the yard). Output: photo/video guide + an owned asset bank. For: website, ads, recruitment, social. Depends on: 1
Principles (confident, technical, simple, no marketing noise); verbal identity — how we write "AFC Transport", the tagline, the boilerplate; messaging tuned for drivers, customers and partners. Output: Voice & Messaging guide. For: recruiting, sales, content, support. Depends on: 1
Business cards; a master presentation template; documents/letterhead; email signatures; a quote / RFP template. Output: editable templates (Figma / Canva / Google / PowerPoint). For: sales, HR, leadership, support. Depends on: 2, 3, 4, 6
Livery for trucks, trailers and service vehicles; logo placement and scaling rules across vehicle types; night visibility / reflectivity / safety; a production spec for the wrap vendor. Pilot on 1–2 trucks, then roll out across the fleet. Output: livery specs + production files. For: operations/fleet, the wrap vendor. Depends on: 2, 3
Social-media templates (posts / stories / reels); an ads design system (Meta / Google); a LinkedIn corporate style; recruitment visuals for driver campaigns. Output: per-channel template kits. For: marketing, recruiting. Depends on: 2, 3, 4, 5, 6
UI components + tokens (buttons, forms, cards, navigation); page templates (home, verticals, driver pages, tracking, contact); conversion patterns (quote / apply forms, speed-to-lead); and the build spec for one unified afctransport.com that consolidates driveafc + the brokerage. Output: a Website Design System in Figma + a dev spec. For: development, marketing, sales, recruiting. Depends on: 2, 3, 4, 5, 6
Publish the guidelines as a living brand portal; set the rules (who approves, where files live, how it is updated); train the teams; review brand consistency quarterly and track it as a KPI. Output: brand portal + governance rules. For: everyone, owned by the Brand Owner. Depends on: all of the above
0 and 1 gate everything — nothing starts before the foundation. 2 + 3 (logo + visual system) are the base for 4–10. 7 (templates), 9 (channels) and 10 (website) come after color, fonts, icons and tone exist. 8 (fleet) can run in parallel once 2–3 are done. 11 (governance) is last and ongoing. Output requirement throughout: a strict, scalable system at the level of Uber / Microsoft / Airbnb — not creativity for its own sake — consistent across every channel for 10+ years.
Drafted from everything in this strategy and the best of what competitors do — and don't do (asset-backed where digital brokers had no trucks, transparent where TQL got caught hiding margins, woman-owned where no major is, fast and human where recruiters take 35 hours, family where the mega-brokers feel like a machine). Read each point, then add your vision in the field under it. This is the core every other brand decision flows from.
“We move specialized freight reliably across the U.S. — backed by our own trucks and our word — so shippers and drivers always have a partner they can trust.”
“To become the most trusted name in specialized transportation in the U.S. — the carrier and broker people call when the load has to arrive.”
“For shippers who move specialized freight, AFC Transport is the asset-backed, woman-owned carrier-and-broker that actually owns the trucks — transparent and dependable when the market isn't — unlike the impersonal mega-brokers and the brokers with no capacity of their own.”
“We're the broker that owns the trucks — and the carrier that plays it straight. Real capacity, real recourse, no hidden margins.”
We built this strategy on real data and research — but some answers only the team has. Open this on a screen in the meeting and go point by point. Anyone with a voice — not just Steven & Kate, but the people who run sales, ops, recruiting and safety — can add an answer or a different view under any question. We're one team. At the end we export every note and refine the plan from your real answers, not our guesses.
Five decisions to start. Put an owner and a date on each, then revisit in 90 days against the KPI baselines.
Every note left anywhere on this page shows up here. To pool input across people: each person clicks Export and sends the file; we Import them all to see who said what, then decide what to add or cut.
Facebook works. Instagram sleeps. Shippers: silence.
From our Meta export — the records still on file (older campaigns were deleted; AFC has run ads since ~2018). Facebook is a real recruiting engine; Instagram is idle; there's no shipper audience anywhere.
Facebook is a proven driver-recruiting engine. The records still on file show ~51,183 leads at a cost per lead of ~$9.30 (lead-form campaigns). Older campaigns were deleted, so the true lifetime cost per lead is likely lower. Instagram is idle and there is no shipper audience at all.
Full detail & data+
Facebook — active and effective (but broadcast-only)
Read: ~80,000 link clicks/year is real recruiting traffic for ~$20K/mo. But engagement is thin — 14,303 interactions against 8.4M views is ~0.17%. This is a broadcast channel, not a community. Lifting engagement (driver stories, questions, replying in comments) would raise reach for free.
Instagram — dormant, with one proof-of-potential
Read: Most days are ~0. Almost the entire year's IG reach came from one viral reel on Apr 4, 2026. Link clicks are ~9× lower than Facebook. Instagram is an empty room — but that one reel proves reels can explode when we actually post them.
The April 4, 2026 spike — free intelligence
Facebook (99,964 views) and Instagram (108,715 views) both peaked the same day — a single piece of content went viral across both platforms. Find that post and reverse-engineer it (topic, format, hook). It's a free template for what resonates with our audience.
Audience (Facebook) — a textbook driver profile
Read: Male, 35–54, US trucking hubs = exactly the over-the-road driver recruiting audience. There is no shipper / decision-maker audience here at all — concrete proof that $0 goes to shipper demand. (Instagram's smaller audience skews younger and gender-balanced — a different, untapped pool.)
What to do about it
Source: our Meta Business Suite export (Views, Reach, Visits, Interactions, Link clicks, Audience) for Facebook and Instagram, Jun 2025–Jun 2026. For planning; not financial advice.
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