28,196
sea shipments on record
× Dopamine Digital
Campaign Plan
× Dopamine Digital
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.
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.
70M+ US sea bills of lading, indexed from public customs records. We pull any importer by name.
The official US tariff schedule, with a free REST API. Every HS code returns its real duty rate.
The machine-readable lists of China (301) and steel/aluminum (232) tariff codes and their surcharges.
Public importers' own 10-K and 10-Q filings, full-text searchable through a free API.
Every tariff proclamation the day it publishes. We watch the codes our prospects import.
Job boards show who is hiring a customs compliance, HTS, or trade analyst right now.
Pull every freight forwarder, customs broker and importer in a US city or zip, with site + phone.
Company headcount and the people in customs, trade and compliance roles.
Monitors named companies for tariff hits, new sourcing countries and expansion.
Detects the customs / TMS software a company already runs on its site.
Official US import value by HS code and country of origin.
Fresh emails and direct lines for the trade-compliance decision-maker once a company clears the ICP.
Also on tap: CBP CROSS rulings for classification precedent and UN Comtrade for global trade flows.
None of this is a template with a name dropped in. We chain the sources together so every figure traces back to a real record. We measure in the units customs actually uses, entries (submissions) and line items, priced at real industry rates, not a vague percentage.
Shipment volume, origin country and supplier mix for the exact company.
Look up the real tariff rate on the codes they import.
Add the China 301 and steel 232 surcharge where it applies.
Entries × line items × per-line rate = their monthly classification spend, about half of it waste.
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.
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. Across their import volume the tariff exposure adds up:
Put together, that points to roughly US$9,000 to $18,000 a month in manual classification cost, separate from the duty they legally owe. About half of that is waste Ripple wipes. The tariff exposure itself runs into the millions a year, but that duty is owed either way, what we cut is the cost of getting the codes right.
A spread across the ICP, from servers to furniture. Each one shows what the engine surfaces: the shipment footprint, the goods, the real HTS codes and duty rates, and where 301 or 232 stacks on top.
~14,000 shipments · China + Taiwan · 301
~9,500 shipments · China + Mexico · 301 + 232
~22,000 shipments · China · 301 + 232
~3,200 shipments · Malaysia + Mexico · low 301
~31,000 shipments · China + Vietnam · 301
~12,000 shipments · China + Taiwan · 301
Shipment counts and classification figures here are indicative, modeled from public import patterns and industry classification rates. The HTS codes and duty rates are live from the USITC schedule. We run the exact ImportYeti pull per company, as with Generac above, before any outreach.
Same ICP, same data engine behind them, three different doors in. All three launch in parallel, then we pour volume into the winner.
For solution-aware buyers. Skip the magnet, get them watching the classifier run on their kind of goods. Fastest path to a booked demo.
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.
Lowest friction. They opt in with one word, then we reclassify a sample of their catalog at no cost. Lets the product sell itself.
We detect a prospect's customs stack with BuiltWith, then undercut it. Here is the field and what it really costs, so every email can name their current bill. Ripple does classification only, the broker still files, so we replace the expensive manual part, not the submission.
A six-figure logistics ERP where HTS codes are still typed in and maintained by hand.
A regulatory database your team searches. The classification call is still a human's.
Classification sits inside a freight platform and is delivered by their brokers, in days.
An AI clearance broker. HTS output is gated behind broker review and you hand off the shipment.
A self-filing tool that suggests codes from history. You still make the final call.
The closest AI classifier, reading HS codes off shipping documents. Narrow today and not yet proven at catalog scale.
Every one of them leaves the same gap. Most importers still do it by hand, at about $1 a line, $15 a document, or $150K a year per classifier, the most expensive option of all. The incumbents hand you a library or a broker, the one AI entrant is early and offshore, and none matches Ripple on US coverage, catalog depth and proven 99.8 percent accuracy with an audit trail, at a fraction of the cost above.
Two angles from the call that open doors a standard sequence misses.
Big importers carry catalogs of 350,000 to 500,000 items with stale or missing HTS codes. Ripple runs the lot in batch, then keeps them current, no live shipment needed. A real Ripple deal of this shape was a one-off reclassification valued at about $150,000, on top of the monthly run. A clean way in that proves the product on their own data.
We watch the Federal Register and hit importers right as their codes change. Live now: USTR has proposed a 25 percent Section 301 tariff on most goods from Brazil, with a decision due 15 July 2026, and a China Section 301 review is expected to land late July. Those lines have to be reviewed against the new lists, which is exactly the classification job. We confirm the exact lines and dates before anything goes out.
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.
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.
Medical devices, aerospace, chemicals, specialty materials, and pharma. High-value, highly-regulated goods where a misclassification is expensive and an audit trail matters.
E-commerce aggregators and distributors moving large, varied catalogs. Lower deal urgency per account but high line-item volume and steady classification load.
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.
GBP 250 per qualified call · capped at 15 a month
On the call we run Ripple on their real volumes and show the saving. If we cannot show them how to cut their classification cost in half, we put $1,000 toward their next broker invoice. Measurable, capped, and almost impossible to say no to.
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.