Trada — Data.com B2B Sales Contact Intelligence & ABM Rainmaker One-Pager

Performance advertising platform

Data.com B2B Sales Contact Rainmaker / Contact Intelligence Contributor

Context

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.

Problem

Trada's growth depended on reaching the right B2B buyer personas — performance marketers, agency buyers, and brand advertisers — with timely, accurate outreach. The challenge was identifying and enriching high-quality contact data at scale: finding decision-maker contacts, normalizing fragmented or incomplete records, and building segmented ABM lists that could support account-specific outreach and mailing campaigns without burning deliverability or wasting sales effort on stale or wrong-person data.

What I did

• - Applied structured OSINT methodology to discover and mine B2B contacts across target account lists relevant to Trada's ICP.
• - Extracted and normalized contact signals from LinkedIn, company websites, public directories, domain registries, and org chart inference.
• - Applied email pattern normalization and format validation to increase deliverability confidence across discovered contacts.
• - Used MX record analysis, domain verification, and cross-source corroboration to validate contact accuracy before contribution.
• - Normalized fragmented, inconsistent, or partial contact records into a clean, structured schema compatible with Salesforce Data.com contribution requirements.
• - Contributed validated, enriched contact records at scale, achieving 3x Salesforce Data.com Rainmaker recognition for contact volume and quality.
• - Built and minted ABM target outreach lists segmented by account, title, geography, and buyer persona.
• - Designed and executed mailing campaigns targeting P2C (performance-to-click) agency buyers and brand advertiser decision-makers.
• - Created account-specific outreach sequences aligned to Trada's value proposition for agency partners and direct brand advertisers.
• - Applied contact segmentation logic to prioritize high-intent accounts and reduce campaign waste.
• - Supported pipeline development by delivering contact intelligence that could fuel both outbound SDR activity and automated campaign execution.
• - Maintained contact data hygiene practices to ensure contributed records met Data.com quality thresholds and avoided penalization.

Outcome

• - Achieved 3x Salesforce Data.com Rainmaker recognition for B2B contact volume and quality contributions.
• - Delivered a high-quality contact intelligence pipeline across Trada's target account and buyer persona segments.
• - Built and minted ABM outreach and mailing campaigns targeting agency performance marketers and brand advertiser buyers.
• - Supported P2C agency targeting campaigns with accurate, enriched, segmented contact data.
• - Improved Trada's outbound pipeline quality by reducing stale, wrong-person, and low-confidence contact records.
• - Established a repeatable OSINT-driven contact mining and normalization workflow applicable across additional ICP segments.
• - Demonstrated early enterprise signal: OSINT, contact intelligence, and data normalization techniques that later evolved into formal contact intelligence platforms and AI-assisted B2B prospecting tooling.

Evidence

• - 3x Salesforce Data.com Rainmaker recognition — top-tier award for contact contribution volume and quality.
• - Contact mining, normalization, and ABM list delivery across Trada's target account universe.
• - ABM outreach and mailing campaigns minted and executed for P2C agency targeting.
• - Public-safe metric language; exact contact counts, campaign response rates, pipeline attribution, and internal Trada data omitted per confidentiality norms.