You already have your full prospect list. We finish enriching it, then we book demos.
You have 3,142 named US Amazon DSPs on a list. We've fully enriched 12 of them — full driver count, owner name, owner email, owner phone, owner LinkedIn. Those 12 are the proof. The other 3,130 sit in the same list with partial data. The work is finishing them.
Once enriched, every DSP gets a 4-touch email sequence from your verified inbox sammy@mail.getvoiceerp.com, plus a LinkedIn touch at the owner. Replies route into your CRM. Bookings land on your Calendly. You stay on the demo side of the funnel only.
This is what every row looks like when we're done.
The 12 Tier A DSPs below are fully enriched. Owner-level decision-maker, FMCSA-verified driver count, contact email, contact phone, LinkedIn URL. We can email them today. This is the format we're producing across the entire 3,142.
| Company | Drivers | Owner | City, State |
|---|---|---|---|
| Victory Lap Logistics LLC | 86 | Deonte (Owner) | Aurora, IL |
| Stora Logistics LLC | 98 | Chelsey Baturin | Pittsburgh, PA |
| Zulu Logistix LLC | 56 | Jason Parker (CEO/Owner) | Jacksonville, FL |
| Alpha Zulu Logistics LLC | 56 | Will Boyd (Owner) | Lafayette, CO |
| YESS Logistics LLC | 54 | Sergio Ozeken (Owner) | Plain City, OH |
| AOT-DSP Inc | 51 | Nicholas Lilja (Office Mgr) | Von Ormy, TX |
| Cleveland Logistics Co LLC | 37 | KC Lacross (Business Owner) | Cleveland, OH |
| LightSpeed Logistics Inc | 33 | Chris Monteith (President) | Perkasie, PA |
| Pro Delivery LLC | 26 | Aymen Abdelhabib (GM) | Phoenix, AZ |
| OTRXpress LLC | 26 | Ken Frohlich (President) | Brentwood, TN |
| Gemini Logistics LLC | 26 | Kevin Warden (Owner) | Buda, TX |
| MCQ6 Logistix LLC | 25 | Bill McKusick (Owner) | Chandler, AZ |
What's missing on the other 3,130
The remaining list has wide-but-shallow data. Phones populate 97%, owner emails 73%, owner names 71% — that's the easy part. What's missing is the size signal — the field that tells you which DSPs are 60+ drivers (your sweet spot) vs. which are 5-driver shops we should ignore.
How we close the gap.
Three stages, in order. Each one is something we already do for our other clients. We're just running the pipeline on your list.
What FMCSA is: the Federal Motor Carrier Safety Administration is the U.S. government agency (part of the DOT) that licenses every commercial trucking and delivery operation in the country. Every Amazon DSP has to register with FMCSA to legally run vehicles — and as part of that registration they self-report their exact driver count and truck count into a public federal database. Free to query, no API limits.
Why it matters for you: Apollo gives us employee counts, but employees aren't always drivers (a DSP with 80 employees might have 60 drivers and 20 office staff, or vice versa). FMCSA gives us the actual driver count — which is the number your pricing is based on. It's the highest-signal field we can possibly attach to a DSP, and it costs us nothing.
What we do: run all 2,628 unenriched names through the FMCSA database and tag each one with its real driver count. Output: ~800 likely-30+-driver DSPs (the ones worth pursuing). The other ~1,800 get tagged "too small" and dropped — we don't waste enrichment credits on them.
Real example from your existing 12: Alpha Zulu Logistics reports 220 drivers / 130 trucks to FMCSA — a real fleet, worth pursuing. YESS Logistics reports 5 drivers / 1 truck — which means despite Apollo showing 54 employees, it's actually too small for Viki. That's the kind of size-truth FMCSA gives us that Apollo alone can't.
For each of the ~800 we now know are real DSPs, we run them through our enrichment pipeline. Apollo is one source — not the source. When Apollo misses, the next API picks it up. When that one misses, the next one does. We don't stop until we have a verified owner email, phone, and LinkedIn for every row.
What's in the pipeline:
· People-data providers — Apollo, People Data Labs, Clearbit. Used to find the actual owner's name, work email, and LinkedIn.
· Company info sources — LinkedIn-company scraper, Apify, SerpAPI. Pull HQ, founded year, employee bands, industry.
· Government registries — FMCSA (drivers, trucks), USAspending, SAM.gov. Verifies fleet size and any federal contract signals.
· Email checkers — verify every address is real and deliverable before we send. Protects your domain reputation.
· Phone validators — confirm phone numbers are working and tied to the right person.
· Social signals — LinkedIn activity, recent hiring posts, growth signals that tell us a DSP is scaling right now.
How it actually runs: each DSP gets pushed through every source. The pipeline merges what comes back, resolves conflicts (e.g. when Apollo says 50 employees and LinkedIn says 80), and picks the most reliable value. If no source returns an owner email, the row gets flagged for manual research — we don't let it slip through with a guess.
Final pass pulls clean industry, founded year, HQ, and employee range — the fields the Reach platform uses to score and segment.
The graph and the feedback loop.
Enrichment gives us the data. The Reach platform turns that data into ranked candidates — ordered by how closely they look like the customers you've already closed. Here's how that works.
You give us 3–5 DSPs you've already closed (Ultra Care Logistics is the first). The Reach platform pulls everything we know about them — driver count, city, founded year, fleet age, owner background — and builds a profile of what your typical customer looks like.
It's not just one trait. It's the combination — "60–100 drivers + U.S. metro + owner-operator + LLC + founded 2018–2022" — and how much each piece actually matters to a close.
The Reach platform isn't just a list — it's a connected database. Every DSP, every owner, and every detail (driver count, city, founded year, fleet size) is linked to every other one. So when we score a candidate DSP, we don't just check it against your closed-wons one-at-a-time — we look at how connected it is to them through everything we know.
A DSP that shares size, city, AND founded year with two of your closed-wons scores higher than one that just matches on size. Each DSP gets a fit score from 0 to 100, and the platform tells you exactly which traits drove the score — so nothing is a black box.
This is the part most outbound shops don't have. When a DSP closes, the system pulls similar DSPs higher in your queue. When a DSP says "not for us" or doesn't show, the system learns to skip ones that look like that.
You don't manage any of this. You just run your demos, tag them in your CRM (won / lost / no-show), and the rankings get sharper week by week. The longer this runs, the better your top-of-list gets.
By month two, the DSPs surfacing at the top of your queue look more like your existing closes than the original list ever did — because the system has learned what closes for you, not what closes generically in the DSP industry.
Your full prospect list, in one place, on rails.
Every enriched DSP lives in the Reach platform — the same database we use for outbound prospecting across our other clients. You log in, you see every DSP in one place. You filter by driver count, geography, owner type. You see who's been emailed, who's opened, who's replied, who's booked.
Then we expand beyond Warehouse Ninja. There are an estimated 1,500–2,500 more US DSPs sitting outside this list — we find them via FMCSA Authorized-for-Hire carrier search and the public DSP directory. By day 90 the Reach graph holds the entire active US DSP universe (~5,000), all enriched, all reachable.
Two channels. One owner. One inbox you watch.
sammy@mail.getvoiceerp.comYour custom-domain inbox is already verified and wired into the Cynthia outbound system. Every enriched DSP gets a 4-touch sequence over 14 days. Touch 1 is a personalized opener referencing the owner by name and the city/state. Touch 2 references the dispatcher pain. Touch 3 is the calculator. Touch 4 is a soft close with the calendar link.
Send rate ramps from 50/day in week 1 to 100/day by week 3 — that's the rate that keeps your domain reputation healthy. Replies route into your Cynthia CRM. Demos book on your Calendly.
For every DSP where we pulled an owner LinkedIn URL, we send a connection request + a soft message directly to that owner. This runs on a separate cadence from email so the prospect sees you in two places — and LinkedIn replies almost always book faster than email replies.
Today we have 378 owner LinkedIn URLs from existing partial enrichment. After full enrichment, that grows to ~900.
From enriched DSP to demo on your Calendly.
Conservative numbers, based on what we've seen on similar B2B-owner outbound from a verified custom-domain inbox.
Three windows. Crystal clear.
FMCSA-verify all 2,628 unenriched DSPs. Apollo + LinkedIn enrich the ~800 that pass. Spin up your dedicated tenant in the Reach platform. Bulk-load every enriched DSP into the graph. Cold-email v1 sequence ships to the 12 Tier A + warmest 50 Tier B that already have full data.
Target by day 14: ~800 fully-enriched DSPs in Reach, 5–8 demos booked from the first 60 sends.
Outbound ramps 50/day → 100/day on a warmed domain. LinkedIn outreach layered on the ~900 owner LinkedIn URLs we now have. Sequence iterates on what's getting replies vs. what's getting ignored. The Reach platform shows you live: who opened, who replied, who's now in your CRM.
Target by day 45: 25–35 cumulative demos booked.
Add the 1,500–2,500 DSPs sitting outside Warehouse Ninja — FMCSA Authorized-for-Hire + public DSP directory. Combined Reach graph = ~5,000 DSPs = the entire US universe. Sequence runs against the new arrivals on the same cadence.
Target by day 90: ~60–80 cumulative demos booked. Full US DSP universe mapped, sequenced, and tracked.
Today vs. with us in the seat.
Today
With us running it
One close a month and we've already paid for ourselves twice.
The whole reason this works is the gap between what one closed DSP is worth to you and what this engagement costs.
That's the average annual value of a Viki customer based on your driver-count math and your Partnership pricing. A 60–100 driver DSP — the sweet-spot we're targeting — lands in that range. Larger DSPs are worth more. Smaller ones are worth less. Ten thousand a year is the conservative middle.
And it's recurring. Year 2 stacks on year 1. Year 3 stacks on top of both.
For that, we run the entire top of your funnel: enrichment pipeline, Reach platform, email sends, LinkedIn sends, reply triage, CRM updates, calendar bookings. Everything described in the rest of this page.
That means we just need to close ONE DSP per month to double the money you spend with us. One close, and we've returned 2× in year-one revenue alone — and the customer keeps paying you in year 2, year 3, and beyond.
The 90-day plan targets ~20–25 demos per month on your calendar by day 60. At even a 10% close rate — conservative for an inbound demo where the prospect already raised their hand — that's 2–3 closes per month. That's 4–6× what you spend with us, every month, in new recurring revenue.
Push the close rate to 15% (which your demo skills suggest is realistic) and you're at 3–4 closes a month. At that point the engagement isn't an expense — it's the highest-leverage line item in your P&L.