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.

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.