lead-qualification

You can automate lead qualification by ingesting your CSV list, generating a tailored qualification prompt, and batch-scoring leads in parallel with explicit confidence ratings and reasoning. The engine processes inline lists, CSVs, or Google Sheets directly.

Yes, you can enrich LinkedIn profiles in bulk before scoring by integrating Apify for batch scraping. This populates missing profile data to speed up the parallelized evaluation and confidence scoring process.

Calibration refines your generated qualification prompt by testing hard and soft criteria against sample leads. This workflow ensures the scoring engine aligns with your specific outbound requirements before running full batch qualification.

The best way to export qualified leads is to run batch qualification and output the results directly to Google Sheets via Rube or as a CSV file. Each scored lead includes explicit confidence ratings and explainable reasoning for fast decision-making.

An Apify account is not strictly required but is used for batch enrichment via LinkedIn scraping. Without it, you can still score leads from inline lists, CSVs, or Google Sheets, though enrichment will be unavailable.

Generating the qualification prompt from structured intake ensures your hard and soft criteria are accurately captured for each specific campaign. This reusable prompt then drives parallelized evaluation and consistent confidence scoring across all leads.