The Client
300-person European data & AI consultancy, Palantir partner.
US market entry from zero: 3,617 validated contacts across 4 verticals
A 300-person European data and AI consultancy (Palantir partner) needed a US beachhead. This is the sourcing, proof-point, and infrastructure build that took them from no US presence to live campaigns.
Data & AIEuropean Data & AI ConsultancyUS Market Entry
- 3,617Validated contacts
- 4Vertical campaigns
- 723Inboxes
- 85+Proof points mapped
The Problem
Zero US presence, zero US references, crowded market.
The Build
Vertical-split sourcing, 85+ client proof points mapped to campaigns, full sending infrastructure.
The Outcome
Campaigns live and accruing replies; infrastructure and data layer delivered.
Context
The client
A 300-person European data and AI consultancy with deep enterprise credentials. Reference clients include global reinsurers, pharmaceutical companies, automakers, and private equity firms. Their strongest differentiator is a certified Palantir Foundry partnership spanning 6+ years and 150+ projects.
Their European pipeline was healthy, built through founder-led sales, conference presence, and inbound. But they had a mandate to expand into the US, and the gap between "we should be selling in the US" and "we have a pipeline in the US" was total. No SDR function. No outbound infrastructure. No brand recognition in North America. One US-based team member, with everyone else on a 5 to 7 hour timezone delay.
Constraints
Why this was hard
Zero outbound infrastructure.
No SDR team, no sending domains, no inbox warm-up, no sequences, no enrichment pipelines. Everything had to be built from scratch.
The US market was completely new.
European brand equity and reference clients carry no weight with a VP of Data at a US insurer who has never heard of them. Every email has to earn credibility from the first sentence.
The most valuable contacts were also the most fragile.
Roughly 150 to 170 confirmed Palantir Foundry users across the verticals were the highest-probability pipeline. Burning them with unproven messaging would waste the single best asset the campaign had.
Four distinct verticals, each needing different positioning.
Insurance and Reinsurance, Banking and Wealth Management, Life Sciences, and Medical Devices. Generic "we do data and AI" messaging would be invisible.
Timezone operations gap.
Warm replies hitting at 2pm Eastern would sit unanswered until the next morning CET. The campaign had to be designed around this.
HubSpot data skewed entirely European.
The CRM was rich with European contacts but nearly empty for the US. No existing list to warm-start from.
Architecture
The system
A phased campaign structure protects the highest-value contacts, Palantir signal detection decides who gets which message, a proof-point library grounds every email in a real outcome, and unified compliance plus sending infrastructure sit under everything.
Results
What is live today
The campaigns are live and accruing replies. The figures below are what has been delivered and is running: reply and meeting numbers are not reported here because they are still accumulating.
- 3,617Validated contacts across 4 verticals
- 4Vertical campaigns live
- 85+Quantified proof points mapped
| Metric | Result |
|---|---|
| Companies sourced | 552 |
| Companies after ICP filter | 427 |
| Total validated contacts | 3,617 |
| Campaign tracks | 6 (4 vertical + 2 Palantir) |
| Phase 2 Palantir contacts | 409 (~150-170 confirmed) |
| Inboxes provisioned | 723 |
| Sending domains | 14 |
| Case study proof points | 85+ |
| DNC list entries | 382 |
| Cross-phase overlaps caught | 30 companies |
| Phase 1 & 2 reply rates | Campaign active |
Fit
Who this is for
Enterprise services firms entering a new market with zero outbound infrastructure.
If your pipeline has been founder-led, conference-driven, or inbound, this is the architecture that gets you from zero to pipeline without the 18-month SDR hiring cycle.
Companies with a small pool of high-value targets they cannot afford to burn.
If 100 to 200 contacts represent your best opportunity, the phased approach validates on lower-stakes contacts first, then applies the learnings to the high-value pool.
B2B firms with deep case study portfolios they are not leveraging.
If you have dozens of quantified outcomes sitting in slide decks but your cold emails still say "we help companies like yours", extracting and matching proof points by vertical and size turns past delivery into present pipeline.
Stack
Tools used
ClayData Enrichment & Signal Detection
SmartLeadEmail Sequencing
ApolloLead Database
BetterContactEmail Enrichment
FindymailEmail Verification
Claude AIAI Personalization & Signal Research
DiscoLikeCompany Discovery
HypertideInbox Infrastructure
Want numbers like these for your pipeline?
See how a system like this gets built for your market, even if you have zero infrastructure today.
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