Hyper-Verified Prospect Graph
Table of Contents
No need to use tables to splice data
Condensed experience in lead collection, business email verification, similar customer mining and value modeling. RevOps eliminates the need for multiple plug-ins or manual verification, as long as the screening, verification and scoring are completed in the map.
Multi-source collection
- SuperSearch, Visitor Identification and Workspace research pods simultaneously pull in 450M+ verified contacts and first-party form leads.
- Industry, technology stack and intent signals are combined according to Lookalike guidelines to ensure each list is ICP compliant.
Verification pipeline
- Syntax, MX, SMTP, and historical bounce checks are performed in sequence, and error causes are retained.
- Manual sampling is performed in parallel with AI anomaly detection to prevent data quality from declining.
- Each record comes with a Deliverability Score so the marketing team knows the risks before sending.
Income model built-in
CLTV and ROI drafts inspired the Predict Revenue module. The moment a contact enters the CRM, the system calculates the potential contract amount and payback period, and recommends follow-up priorities (heads-up, multi-touch points or maintenance).
AI agent support
AI agents enrich customer information, analyze buyer personas, write tailored copy, and reply instantly; they automatically generates persona summaries at the graph level, updates trigger events, and pushes the most valuable leads directly to the Human Outbound Control Tower.
Scenario example
- The marketing team needs 1,000 North American logistics leads.
- Graph presents 1,300 candidates based on NAICS, historical Win data and intention fluctuations.
- 1,050 items passed the verification, and the remaining items were accompanied by failure reasons for iteration.
- The reviewed contacts are pushed to Control Tower with rhythm suggestions.
Result Metrics
- Verification pass rate vs. target > 90%
- CLTV forecast error decreases month by month
- AI recommended leads have higher meeting booking rates than regular lists