prospecting

To generate prioritized prospect lists from CVR business registration exports, you need to parse the Excel input file and derive candidate website domains. The pipeline then applies passive scanning and priority bucketing to produce an outreach-ready prospects CSV.

Yes, you can use httpx or webanalyze style passive scanning outputs to create per-site technology briefs. The process detects CMS, hosting, certificates, and headers without intrusive probing, converting public website observations into detailed JSON briefs.

GDPR-sensitive industry filtering works by applying industry codes to elevate specific industries during the bucketing process. This auto-classifies targets into priority buckets A through E, ensuring outreach teams focus on high-value SMB targets with clear risk summaries.

The best way to detect agencies from website observations is to aggregate footer and meta patterns from passive scanning data. This identifies agencies across multiple sites and generates agency-level briefs for scaling pitches to the detected organizations.

Yes, you need a CVR Excel input file to start the prospecting pipeline. The ingestion process parses registration records to derive candidate website domains, which are then combined with passive scanning outputs and config-based filters to produce prospect lists.

A key limitation of using passive HTTP fingerprinting for prospecting is its reliance on publicly observable website data. It cannot gather internal organizational data, and the accuracy of priority bucketing and agency detection depends on the completeness of the passive scanning outputs and footer patterns.