David Wolf · Portfolio Use Case
3x Salesforce Data.com Rainmaker recognition for OSINT-driven B2B contact mining, normalization, and ABM outreach campaign delivery for a performance advertising platform.
Delivered B2B contact intelligence, OSINT-driven contact mining, and ABM outreach campaign execution for Trada, a performance advertising platform. Achieved 3x Salesforce Data.com Rainmaker recognition for the volume and quality of discovered, normalized, and contributed contacts. Built and minted ABM target outreach and mailing campaigns to support P2C (performance-to-click) agency targeting, driving qualified prospect pipeline for Trada's sales and marketing motion.
Client
Performance advertising platform
Engagement Type
consulting
Period
2011
Role
Data.com B2B Sales Contact Rainmaker / Contact Intelligence Contributor
Focus Areas
Trada, Data.com, Salesforce
The Context
Salesforce Data.com (formerly Jigsaw) was a crowd-sourced B2B contact database platform that awarded Rainmaker recognition to contributors who met high thresholds for contact volume and quality. Trada was a performance advertising platform enabling businesses to run paid search and display campaigns managed by a network of certified expert advertisers. The intersection was clear: Trada needed quality contact intelligence to fill its B2B pipeline, and the Data.com ecosystem rewarded contributors who could source, normalize, and contribute vetted contact records at scale. OSINT techniques — including LinkedIn signal extraction, domain analysis, org chart inference, company registry data, and contact pattern normalization — were applied to find and validate contacts across target account lists.
The Challenge
B2B contact data degrades rapidly. Email addresses rot, titles change, companies merge or pivot, and decision-makers move roles. Building a contact intelligence pipeline that maintained both volume and quality required structured OSINT methodology: identifying authoritative signals across multiple public sources, normalizing records into consistent schema, validating pattern matches (email format, domain MX, LinkedIn presence), and cross-referencing against existing CRM data to avoid duplicates or stale entries. The additional challenge was prioritizing accounts and contacts against Trada's ICP and campaign segments so outreach campaigns would land with the right people at the right accounts.
What I Did
The Outcome
Achieved 3x Salesforce Data.com Rainmaker recognition for B2B contact volume and quality contributions.
3x
Salesforce Data.com Rainmaker recognition — top-tier award for contact contribution volume and quality
Outreach
And mailing campaigns minted and executed for P2C agency targeting
Key Deliverables
Client
Performance advertising platform
Engagement Type
consulting
Period
2011
Role
Data.com B2B Sales Contact Rainmaker / Contact Intelligence Contributor
Focus Areas
Trada, Data.com, Salesforce
The Context
Salesforce Data.com (formerly Jigsaw) was a crowd-sourced B2B contact database platform that awarded Rainmaker recognition to contributors who met high thresholds for contact volume and quality. Trada was a performance advertising platform enabling businesses to run paid search and display campaigns managed by a network of certified expert advertisers. The intersection was clear: Trada needed quality contact intelligence to fill its B2B pipeline, and the Data.com ecosystem rewarded contributors who could source, normalize, and contribute vetted contact records at scale. OSINT techniques — including LinkedIn signal extraction, domain analysis, org chart inference, company registry data, and contact pattern normalization — were applied to find and validate contacts across target account lists.
The Challenge
B2B contact data degrades rapidly. Email addresses rot, titles change, companies merge or pivot, and decision-makers move roles. Building a contact intelligence pipeline that maintained both volume and quality required structured OSINT methodology: identifying authoritative signals across multiple public sources, normalizing records into consistent schema, validating pattern matches (email format, domain MX, LinkedIn presence), and cross-referencing against existing CRM data to avoid duplicates or stale entries. The additional challenge was prioritizing accounts and contacts against Trada's ICP and campaign segments so outreach campaigns would land with the right people at the right accounts.
What I Did
The Outcome
Achieved 3x Salesforce Data.com Rainmaker recognition for B2B contact volume and quality contributions.
3x
Salesforce Data.com Rainmaker recognition — top-tier award for contact contribution volume and quality
Outreach
And mailing campaigns minted and executed for P2C agency targeting
Key Deliverables
Focus Areas
Tools & Technologies
Public-Safe Caveat
This case study is based on user-provided project context and should be treated as a draft scaffold until exact engagement dates, Trada entity confirmation, Data.com Rainmaker award records, campaign metrics, and supporting artifacts are confirmed from resume, LinkedIn/Profile, or other records.
David Wolf
AI Security · Product Security · Security Leadership
Based on analyzed public signals, not proof of any individual's or company's internal state.