How a B2B SaaS Sales Team Used Multi-Platform Profile Extraction for Account-Based Marketing

Introduction

Tagline: A US-based B2B SaaS sales team built a custom ABM data layer by extracting verified contact information across multiple platforms — accelerating outreach against named target accounts.

The Challenge

The client's B2B SaaS sales team operated an account-based marketing (ABM) motion targeting ~500 named enterprise accounts across multiple verticals. The strategic problem: identifying the *right contacts at the right accounts* was the binding constraint on outreach velocity.

Standard sales intelligence tools (ZoomInfo, Apollo, Lusha) provided contact data, but coverage gaps were significant — particularly for international contacts, less-public roles, and recent hires. The team needed a custom data layer that could:

• Verify contacts across multiple sources for the named target accounts
• Surface less-public roles (heads of specific functions, regional leads) that standard tools missed
• Provide verified contact information (email + phone where available) ready for outreach
• Refresh regularly as people changed roles, companies, and contact information

The Approach

Actowiz Solutions built a custom B2B profile extraction pipeline focused on the client's specific target account list:

• Account-by-account profile extraction — for each named target account, identified contacts in priority roles
• Multi-source verification — cross-referenced contact data across multiple public sources for accuracy
• Email pattern derivation and validation — for accounts where direct email wasn't publicly available, derived likely email patterns and validated through standard checking protocols
• Phone number capture where publicly available with appropriate compliance attribution
• Compliance-aware delivery — all extraction respected platform terms of service, privacy regulations, and data quality standards

The Solution Architecture

B2B profile extraction is genuinely complex because the data lives across many sources and platforms, with varying levels of public accessibility. The extraction pipeline used a multi-source approach, with quality scoring per contact to flag confidence levels. Compliance considerations were central — the pipeline avoided data that fell into restricted categories under applicable privacy regulations.

Output was delivered as enriched CSVs ingestible into the client's CRM and outreach tools, with confidence scores per record.

Results

• 500 target accounts enriched with verified contact intelligence
• 3,000+ verified contacts identified across the priority accounts, prioritized by role and confidence score
• 2x increase in outreach response rates compared to standard sales intelligence tools, attributed to more accurate and current contact data
• Compliance audit-friendly — full data lineage tracking, with source attribution for every contact record
• Recurring engagement — pipeline now refreshes target account intelligence on a quarterly cadence

Why This Matters For You

If you operate a B2B SaaS sales motion with named target accounts, your outreach is bottlenecked by data quality. Standard sales intelligence tools provide a baseline, but ABM requires custom data layers that fill specific gaps for specific target lists. Custom profile extraction — done with appropriate compliance posture and data quality controls — is how serious B2B sales teams close the data gaps that standard tools leave open.

The same pattern works for any B2B sales motion targeting specific accounts: enterprise SaaS, professional services, B2B finance, B2B logistics, and similar high-touch sales categories.