Drop in any CSV, such as a sales-intelligence export or a list a partner sent you. Ask Nathan detects columns, asks you to confirm the mapping, then runs a data readiness summary so you know what’s workable before you commit.
Each row gets a composite Ask Nathan score combining trust signals (whether anyone on your team has context on the company or buyer) and fit signals (the attributes you care about — segment, role, region, technographic).
The score is fully explainable. Click any row to see which signals contributed and what to verify.
From any row, jump straight into a Trust path recommendation to find the warm path in, or export the full scored queue as CSV for use in your CRM or sequencer. Ask Nathan reads HubSpot read-only and never writes to it. What you change in the queue stays in Ask Nathan.
Company name is the only requirement. Buyer name, title, email, and any context columns improve scoring. Ask Nathan auto-detects common formats.
The upload on this page stays in your browser session. The uploads on the Connect page are different: LinkedIn connections and event lists go to your team’s workspace, where Ask Nathan keeps each person’s name, title and company so a path through you can be found and shown. Your file is never shared, contact addresses are stored only as a hash, and a connection counts as low-weight evidence, never a confirmed relationship.
No. Ask Nathan reads HubSpot read-only and never writes to it, and you can export the scored queue as CSV. Writing back to a CRM is a separate decision your workspace would opt into.
Upload a CSV or paste account context. No CRM connection required.