01
ABM

From 100 accounts to 1,500 verified stakeholders

Account lists that missed subsidiaries and buying committees, rebuilt around how these institutions actually operate.
CCM Software Vendor
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02
Market entry

Building qualified market entry datasets across regulated financial markets

Two heavily regulated markets with no reliable public data on licensed institutions, mapped from regulatory sources.
Swiss Fintech Vendor, UAE and Caribbean
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03
High volume

Building a high-volume outbound system from product-level signals

Targeting "ecommerce companies" was too broad. Segmenting on product type instead of company type kept volume and relevance together.
North American Mid-Sized Software Vendor
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04
Long-term

Building and expanding a partner-driven outbound system

Five broker personas and two motions running in parallel: new partner acquisition alongside expansion inside existing firms.
US-Based Valuation Report Provider
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05
High volume

Targeting owner-led businesses in timing-driven markets

A market where low engagement is structural rather than a failure. The system was built for seller readiness, not for a response-rate benchmark.
Business Broker, Manufacturing and Home Services
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06
Strategy + execution

Defining and validating an ICP before scaling outbound

The outbound buyer turned out to be structurally different from the inbound buyer. Finding that first kept the program small and working.
Mobile Food Solutions Manufacturer
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07
International expansion

Launching outbound across multiple countries with localized execution

Bilingual execution across several LATAM markets, with messaging built per region rather than translated from English templates.
Swiss Software Vendor, LATAM
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08
Niche targeting

Building targeting systems for hard-to-reach industrial markets

An ICP that does not exist in Apollo or ZoomInfo, built instead from niche industrial directories and mapped across two stakeholder groups.
Industrial Labels Manufacturer
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09
ABM

Identifying decision-makers across 400 pharma accounts using signal-based targeting

The same role carried 20 to 40+ different titles. Matching on titles would have missed most of the buying population, so we stopped matching on titles.
Pharmaceutical Research Services Company
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01
Infrastructure

Building a nationwide, geo-mapped dataset of 100,000+ professionals

Fifty state licensing systems with no shared schema, aggregated into one and geo-mapped by practice proximity.
Large Veterinary Network
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02
Reconstruction

Rebuilding millions of outdated records into usable datasets

A database that had degraded past the point of being usable for outreach, normalized and entity-resolved back into service.
Financial Services Company
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03
Targeting repair

Fixing targeting accuracy to unlock high-response campaigns

Strong engagement, near-zero conversion. The campaigns were fine. The candidates were simply in the wrong places.
Mid-Sized Veterinary Network
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04
Trade show targeting

Scoring 1,638 trade show exhibitors to decide which booths were worth walking

At a show this size, floor time is the scarce resource. The deliverable was a ranked walking plan rather than a campaign. The meetings happened in person.
North American Mid-Sized Software Vendor
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Names are withheld by default. Happy to talk through any of these in more detail on a call.

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