Road-safety technology (B2G sales)
Leads that start with a news story and end with a verified decision maker
The best time to talk to a town about traffic safety is the week after an incident. The team now gets that lead the same morning, with the responsible official's name, title, phone and email already verified.
- same morning
- from incident report to a lead on the dashboard
- 0.95
- confidence on the verified contact, or it is reviewed by a person
- ~1 hour
- of research saved per lead
The problem
The sales team searched local news by hand for accidents near schools and then spent an hour per lead finding out who at the town or school district could actually buy. By the time the contact was found, the moment had passed.
What the team did
Hunter scans dozens of news searches and feeds every morning and files anything new. Vera merges the outlets covering the same event into one story, confirms the facts against a second source, extracts the location and the type of incident, and names the authority involved.
Rich finds the decision maker: the official quoted, the town or district website, the person's current role, an official email and phone, verified through two lookup services. Anything below the confidence bar waits on a person's desk instead of reaching the client.
Porter publishes the lead to the dashboard and Watson checks it against the CRM: a town already in the pipeline is flagged, and a match with an open deal goes into the weekly brief.
AI employees involved
- Hunter · Research & Media Monitoring Analyst
- Vera · Senior Verification Analyst
- Rich · Lead Enrichment Specialist
- Porter · Production Editor & Publishing Gatekeeper
- Watson · Strategy & Insights Advisor
Hunter
Vera
Rich
Porter
Watson
Accounts connected
- Google News
- Hunter.io
- FindyMail
- Pipedrive
Connected by the client with their own login; access is read-only unless a person approves a specific action.
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