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Campaign Plan
Outbound Intelligence Engine

We pull a US importer's real customs data before we ever email them.

While researching your market we found a stack of public databases we can hook into through their APIs, turn into a real number on each prospect, and wrap into a personalized HTS exposure report. Here is the data engine, a live example on a real company, the three offers running, and the plan.

7
public data sources we hook into
28,196
shipments pulled on one company, live
3
offers ready to split-test
$0
cost on most of the data
What we found

The public data we plug into

Every one of these is real and reachable today, most of it free. Together they let us see what a company imports, what it costs them, and where their tariff risk sits, all from public records.

ImportYeti via Apify

API · pennies/company

70M+ US sea bills of lading, indexed from public customs records. We pull any importer by name.

Infer: shipment volume, primary origin country, top suppliers, frequency, recency.

USITC HTS API

Free · official

The official US tariff schedule, with a free REST API. Every HS code returns its real duty rate.

Infer: base duty rate per code, plus a flag when 301 or 232 surcharges apply.

The machine-readable lists of China (301) and steel/aluminum (232) tariff codes and their surcharges.

Infer: the extra 25 to 50 percent stacked on a company's exposed codes.

Public importers' own 10-K and 10-Q filings, full-text searchable through a free API.

Infer: their own words on "Section 301", "China tariffs", "customs duties", quantified pain.

Every tariff proclamation the day it publishes. We watch the codes our prospects import.

Infer: a live trigger, "the duty on your codes just changed", perfect timing to reach out.

Hiring signals

Apify + Sales Nav

Job boards show who is hiring a customs compliance, HTS, or trade analyst right now.

Infer: an open req means they classify by hand at volume, the clearest pain signal there is.

Pull every freight forwarder, customs broker and importer in a US city or zip, with site + phone.

Infer: a fresh sourcing list of in-market brokers and importers, geo-targeted.

Company headcount and the people in customs, trade and compliance roles.

Infer: how big their classification team is, a direct read on the pain and the buyer.

Monitors named companies for tariff hits, new sourcing countries and expansion.

Infer: a timing trigger, reach out the week their tariff world changes.

Detects the customs / TMS software a company already runs on its site.

Infer: a displacement angle, or a manual gap where they run nothing.

Official US import value by HS code and country of origin.

Infer: a benchmark to size their likely duty spend and validate the ImportYeti pull.

Fresh emails and direct lines for the trade-compliance decision-maker once a company clears the ICP.

Infer: the exact person to reach, and how to reach them.

Also on tap: CBP CROSS rulings for classification precedent and UN Comtrade for global trade flows.

How it works

How we turn public data into a real number

None of this is a template with a name dropped in. We chain the sources together so every figure in the report traces back to a real record.

1

Pull their imports

Shipment volume, origin country and supplier mix for the exact company.

ImportYeti / Apify
2

Read the duty rate

Look up the real tariff rate on the codes they import.

USITC HTS API
3

Stack the surcharge

Add the China 301 and steel 232 surcharge where it applies.

301 / 232 lists
4

Model the exposure

Volume × duty × classification load = their annual cost and risk.

Ripple math
= a real, defensible number
Then Ripple cuts it: roughly half the cost, three weeks of work down to fifteen minutes, at 99.8 percent accuracy with an audit-grade evidence trail.
We keep it honest. Public bill-of-lading data is sea freight only and sits at shipment level, so the report is a sound inference from public records, not a copy of their books. The exact figure is confirmed the moment they run one real invoice through the platform, which is the offer itself.
A live example

Real data, pulled today, on a real importer

We ran the engine on Generac Power Systems straight from public records. Nothing here is invented. Any prospect on the list gets the same treatment.

Generac Power SystemsIndustrial power equipment · Hillside, IL
PULLED LIVE · 11 JUN 2026
from public US customs records
28,196
sea shipments on record
China
primary country of origin
7 Jun 2026
most recent shipment
301 + 232
both tariff regimes hit them

How we read it

The public bills of lading give us the goods Generac imports and where from. Each maps to an HTS code with a real USITC duty rate; China origin then triggers the Section 301 surcharge and steel triggers Section 232. Multiply across 28,196 shipments and the exposure adds up:

  • Generating sets (HTS 8502) carry a 2.5% base duty, plus the Section 301 China surcharge on top.
  • Motors and alternators (HTS 8501) run 6.7% plus 301, across high line counts every invoice.
  • Steel enclosures and parts (HTS 7308 / 7326) are hit by the Section 232 steel duty of 50%.
  • Assembled parts from their top supplier (Fong Chen Plastic) are the hardest line items to classify, so the most error-prone.

Put together, that is the US$1.4M to $2.3M a year in classification cost and tariff exposure modeled below, the number Ripple cuts.

Modeled annual HTS & duty exposure: US$1.4M to $2.3M
Open the full report
The campaign

Three offers we will split-test

Same ICP, same data engine behind them, three different doors in. All three launch in parallel, then we pour volume into the winner.

Offer AStraight to demo
Offer BAI exposure report
Offer CSelf-service trial

For solution-aware buyers. Skip the magnet, get them watching the classifier run on their kind of goods. Fastest path to a booked demo.

    What the email says
  • Most importers their size still classify HTS by hand, around the high-70s for accuracy, and every miss is a penalty or overpaid duty.
  • Ripple runs a thousand-line invoice in minutes at 99.8 percent, with a full audit trail.
  • Proof: a freight forwarder went from three weeks to under fifteen minutes on one invoice.
  • Ask: a 15-minute demo on their own goods.

The "that's our actual data" play. We send the personalized exposure report first, built from their real records, then book the call. Highest perceived effort, strongest hook.

    What the email says
  • We pulled their US import records: shipment volume, origin mix, and where their goods sit against the 301 / 232 lines.
  • Name the cost they are carrying in manual classification, in-house or per-line through a broker.
  • Offer to send the exposure snapshot and walk through what we are seeing.
  • Ask: a quick look, then a 15-minute call.

Lowest friction. They opt in with one word, then we onboard them onto a no-cost run of one real invoice. Lets the product sell itself.

    What the email says
  • One-line hook: an AI classifier that returns every HTS code on an invoice in minutes at 99.8 percent.
  • The ask: reply YES and we run one real invoice at no cost, no call needed.
  • They check the codes against their own answers and decide for themselves.
  • Warm follow-up to book the call once they have seen it work.
Who we target

The ICP breakdown

We target US companies that carry real HTS classification volume: importers and exporters, customs brokers, third-party classifiers, and logistics operators. Within that, three industry tiers by where the pain bites hardest.

Three industry tiers

Tier 1 · Core

Sweet spot

Manufacturers with thousands of SKUs and frequent tariff changes, electronics (servers, sensors, components, power supplies), industrial equipment, OEM suppliers, aftermarket parts, freight forwarders, customs brokers, logistics.

Tier 2 · Strong

Expansion

Medical devices, aerospace, chemicals, specialty materials, and pharma. High-value, highly-regulated goods where a misclassification is expensive and an audit trail matters.

Tier 3 · Volume

Breadth

E-commerce aggregators and distributors moving large, varied catalogs. Lower deal urgency per account but high line-item volume and steady classification load.

Targeting at a glance

Target titles

The senior person who owns this, by function. Compliance / trade: Trade Compliance Manager, VP Trade Compliance, Senior Compliance Analyst. Brokerage: Director of Customs Brokerage, Licensed Customs Broker. Logistics: VP Supply Chain, VP Logistics, Director of Imports. Seniority: Director, VP, Head of, C-level or founder.

Company size

201+ employees with visible US import or export activity. One exception: a broker or third-party classifier running other companies' volume can be smaller, because they bring scale through the platform. We may raise the floor to 500+ after the first batch.

Buying signals

What tells us they feel the pain: paying outside brokers or classification software, or carrying an in-house customs team. A China or Vietnam origin mix (301 / 232 exposure). Hiring a customs or trade-compliance analyst. Visibly drowning in classification admin.
The plan

How we run it

Inboxes warmed and ramped safely, all roads lead to a 15-minute call, and a call only counts as qualified when it clears five criteria.

Where we are

Now
Engine built, offers written, inboxes warming, target list building from import + hiring signals.
Once warmed
First personalized reports go out on the warmest accounts, all three offers in rotation.
Weeks 2 to 4
Read the data, kill the losers, pour volume into the winning offer. First qualified calls land.
Ongoing
Federal Register triggers feed fresh "your codes just changed" prospects into the top of the funnel.

What counts as a qualified call

  1. Company type & size · US importer, exporter, customs broker, third-party classifier or logistics operator, 201+ employees (smaller is fine for a broker/classifier running others' volume).
  2. Authority · a senior stakeholder, Director, VP, Head of, C-level or founder, in customs, trade, compliance, logistics or supply chain.
  3. Spend signal · visibly paying brokers, classification services or software, or carrying in-house classification headcount.
  4. Genuine pain · real HTS, tariff or classification pain surfaces in the reply or on the call.
  5. Shows and stays · turns up on camera and stays at least 15 minutes (no-shows and sub-15-minute calls are not billable).

GBP 250 per qualified call · capped at 15 a month

3
/day wk1
5
/day wk2
10
/day wk3+

The risk reversal that closes it

On the call we show the duty and time saving on their real volumes. If we cannot show at least $25,000 a month in savings, we pay their next broker invoice, up to $1,000. Measurable, capped, and almost impossible to say no to.

Status

We are building it now

The data engine and the offers are built. Inboxes are warming this week; the first reports go out the moment warmup completes. Here is what happens next.


Ripple Technologies · Dopamine Digital
Outbound intelligence engine for AI customs classification. Data sourced from public US customs records and the official USITC tariff schedule. The Generac figures are modeled from public records for illustration and are not drawn from the company's books or endorsed by it. Prepared for Ripple.