Definition
A search enrichment signal is a structured data point extracted from web search results (funding announcements, hiring activity, technology mentions, review counts) that is used to score, qualify, or personalize B2B leads.
In Depth
Traditional lead enrichment relies on B2B databases (Apollo from $49/mo, ZoomInfo at enterprise pricing) that provide firmographic data: employee count, revenue, industry. Search enrichment signals add a real-time layer: what is this company doing right now? Common signals: (1) funding -- search '[company] funding 2026' to detect recent raises (high intent for new tools), (2) hiring -- search '[company] hiring [role]' to detect growth (signal for scaling-stage tools), (3) technology mentions -- search '[company] [technology]' to qualify tech stack fit, (4) negative reviews -- search '[company] reviews' on Reddit to detect pain points you can solve. Each signal costs one search query: $0.005 via Scavio, $0.0006 via DataForSEO ($50 min deposit). For a 1,000-lead list with 4 signals each: $20 via Scavio or $2.40 via DataForSEO. The signals feed into lead scoring: recent funding = +20 points, hiring for your buyer persona role = +15 points, using a competitor technology = +10 points. Teams report that search-enriched lead scoring improves sales-accepted lead rates by 30-40% compared to firmographic-only scoring, because timing signals (funding, hiring) are better intent indicators than static company size.
Example Usage
A sales team enriches 500 inbound leads per month with 4 search signals each (2,000 queries = $10/mo via Scavio). Leads with a recent funding signal convert to meetings at 3.2x the rate of leads without. The team re-prioritizes their outbound sequence to contact funding-signal leads within 48 hours of detection.
Platforms
Search Enrichment Signal is relevant across the following platforms, all accessible through Scavio's unified API: