Replace hours of prospect research with a repeatable, verified workflow.
A prospecting system that searches businesses by industry and location, enriches records from company websites, verifies email addresses, tracks do-not-contact records and presents the list through a secure portal.
The business problem
The business problem
Prospecting often means hours of searching, copying data manually and sending to addresses that were never verified. The work is slow, repetitive and easy to get wrong.
What was built
Growth Stack automates the research and verification stages. It builds a targeted list from business listings, visits prospect websites for additional context, verifies emails and preserves do-not-contact records behind a secure owner-only login.
Business outcome
What this system is designed to improve.
Build targeted prospect lists automatically by industry and geography.
Verify addresses before they enter outreach workflows.
Enrich each record from the prospect’s own website.
Keep do-not-contact information with the prospect record.
System map
How the workflow fits together.
The architecture is shown to make the work visible—not to turn the page into a technology diagram. The business outcome remains the reason for the system.

Capabilities
What the system can handle.
Automated prospect search
Searches business listings by industry and location.
Website enrichment
Visits prospect sites to collect additional useful business details.
Email verification
Checks addresses and re-checks uncertain results rather than discarding them.
Do-not-contact tracking
Keeps suppression records alongside prospect data.
Secure portal
Places the workflow behind an approved-owner login.
Separated outreach architecture
Keeps verification and future outreach on separate systems to protect sender reputation.
Controls & safeguards
Automation only works when the business can trust the boundaries.
- Do-not-contact records preserved
- Verification and outreach separated by design
- Secure owner-only access
- Uncertain addresses held for re-checking rather than treated as valid
What this demonstrates
The front end of prospecting becomes a controlled data workflow instead of a repetitive manual research task. Automated email sequences and sending remain a future phase.
Client-identifying information and sensitive operating details are omitted or generalized where necessary.
Have a similar operating problem?
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Tell us how your team handles the work today. We can determine whether AI, automation, custom software or a simpler change makes sense.
