Precision Account Sourcing

Custom B2B Prospect List Building

Escape decaying database dumps. ProspectLynk constructs bespoke account and decision-maker datasets hand-curated against your exact ICP, technographic stacks, and verified buying triggers.

  • Triple-Checked SMTP Validity
  • Zero Generic Scrapes
  • CRM-Ready Ingestion
specimen_custom_dataset.csv 100% Validated
Decision Maker Company & Signal Verified Direct ICP Fit
Sarah Jenkins
VP Revenue Operations
CloudScale Systems
Series B • Scaling Sales
SMTP Valid
Direct Dial + Notes
98%
Marcus Sterling
Head of Enterprise Sales
Vanguard Security
Tech: HubSpot + Apollo
SMTP Valid
Verified Profile
94%
Elena Rostova
Chief Technology Officer
Nexus Logistics
Hiring: +8 Devs
SMTP Valid
Direct Extension
96%
Targeting Capabilities

Everything Needed for Precision B2B Targeting

Stop spraying outreach to stale, scraped lists. We research target accounts and buying committees against bespoke qualification criteria.

Custom List Building

Handcrafted prospect lists built around exact firmographic thresholds and active buying authority.

Account Research

Research target accounts against employee ranges, revenue thresholds, and corporate hierarchies.

Decision-Maker Mapping

Uncover exact executive decision-makers, budget owners, and technical champions holding purchasing power.

ICP Calibration

Translate loose buyer assumptions into structured qualification guidelines and negative exclusion filters.

Execution Pipeline

How We Build Your Verified Custom List

Our researcher-led data curation protocol produces actionable outputs for immediate outbound engagement.

01

ICP Calibration

We formalize your parameters: revenue, employee headcount, geographies, negative exclusions, and required custom attributes.

02

Account Discovery

Analysts run primary cross-source research across professional registries, public databases, and search queries.

03

Contact Verification

Every email goes through active SMTP handshakes and MX validation. Invalid, catch-all, and non-responsive addresses are filtered out.

04

Format & Delivery

Datasets are formatted for clean CRM schema mapping (HubSpot, Salesforce) or uploaded directly via automated webhooks.

Data Quality Comparison

Why Custom Lists Outperform Database Exports

Comparing ProspectLynk bespoke research to static database software platforms.

Evaluation Factor ProspectLynk Custom Lists Generic Database Subscriptions
Verification Method Real-time SMTP ping + Human research validation Automated scraping with months of uncorrected data decay
Email Bounce Guarantee Under 3% bounce rate guarantee High bounce rates (typically 15% to 30%+)
Hyper-Specific ICP Criteria Full flexibility: niche software, custom signals, localized roles Locked to standard preset filters and generic industries
Contact Role Accuracy Manually confirmed actively working in the role this week Stale job titles from individuals who switched roles months ago
CRM Ingestion Readiness Pre-formatted to your specific properties and naming conventions Unstandardized exports that require hours of manual deduplication
Common Inquiries

Frequently Asked Questions

We use a dual validation pipeline: algorithmic multi-stage pinging (verifying MX records, domain authentication, and inbox SMTP handshakes) followed by manual spot-checks. We eliminate catch-all, dead, and disposable addresses.

Turnaround depends on volume and qualification complexity. Standard batches of 500 to 2,500 curated, fully enriched accounts typically deliver within 3 to 5 business days.

Yes. Because our researchers conduct real-time contextual sourcing rather than relying on a static database, we can find decision-makers in hyper-niche industries across global regions.

We provide datasets in CSV, Excel, or Google Sheets configured to your CRM’s property labels (HubSpot, Salesforce, Pipedrive). Direct CRM enrichment is also available via automated workflows.

Initiate Outreach

Request Your Custom Prospect List

Provide your ideal buyer profile and requirements. Our analysts will review your criteria and provide a sample dataset.