B2B Growth · Marketing, Sales
Prospecting Intelligence
Find and prioritize the accounts most likely to become qualified opportunities.
The problem
Research is fragmented, prioritization is inconsistent and seller attention reaches the wrong accounts.
The outcome
More qualified opportunities from the accounts your team chooses to pursue.
In practice
Example: a B2B software company with a 12-person sales team points the system at its ICP and CRM history. Instead of sellers researching accounts one by one, they start each week with a scored, evidence-backed shortlist—so the same team books more qualified meetings from fewer, better-chosen accounts.
How it operates
Like every GigaRev system, Prospecting Intelligence runs the Understand → Act → Learn loop under human direction: Discover → Research → Enrich → Score → Human approval → Activate → Observe → Learn.
What we measure
Qualified opportunity creation — +24% qualified account-to-meeting conversion
Questions leaders ask
What is Prospecting Intelligence?
Prospecting Intelligence is a managed, AI-native GTM system built and operated by GigaRev for Marketing and Sales teams. Find and prioritize the accounts most likely to become qualified opportunities. It exists because research is fragmented, prioritization is inconsistent and seller attention reaches the wrong accounts. The result: more qualified opportunities from the accounts your team chooses to pursue.
How does Prospecting Intelligence work?
Like every GigaRev system, Prospecting Intelligence runs the Understand → Act → Learn loop under human direction. It understands first (discover, research, enrich, score), then acts through governed steps (activate), and learns from every cycle—positive and negative replies, meeting quality, qualification decisions—so the next cycle performs better than the last.
What results can a CMO or CRO expect from Prospecting Intelligence?
The system is built to grow qualified opportunity creation. Operated deployments have delivered +24% qualified account-to-meeting conversion. Example: a B2B software company with a 12-person sales team points the system at its ICP and CRM history. Instead of sellers researching accounts one by one, they start each week with a scored, evidence-backed shortlist—so the same team books more qualified meetings from fewer, better-chosen accounts.
How do humans stay in control of Prospecting Intelligence?
People keep the consequential decisions: approve targeting criteria; review high-value exceptions; accept changes to scoring rules. Agents inside the workflow operate within defined approval boundaries, and every action leaves an auditable trail in the Command Center.
An AI-native GTM growth system built and operated by GigaRev, combining platform, practitioners and managed execution.