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Signals

Buying Signal Detection

Watches hiring, leadership changes, funding and technology moves, matches each event to an account, and puts the ones worth acting on in front of a rep.

Problem

Buying windows open and close unnoticed. A new VP arrives or a round lands, and the team hears about it after the budget is committed.

Solution

Events are captured with their source and evidence, matched to real CRM accounts, scored for relevance, and routed to the rep who owns the account.

01 Solution architecture

SOURCES Web search Provider search API Funding, launches, exec moves ATS feeds Greenhouse / Lever / Ashby Hiring as a public, permitted signal News & alerts Configured feeds and alert mailboxes Digests separated from link-only notices CRM Salesforce / HubSpot Target accounts, owners, open opps PROCESSING Event capture Stored with source URL and evidence Discovery, event and processing dates Dedup Repeated company and event stories collapsed Same story across outlets counted once Account matching Waterfall: domain → name → geography → LLM inference; ambiguous held, not guessed Relevance scoring Fit × recency × account state A reason to look, not proof of budget 01 02 03 04 DELIVERY Rep alert Slack or email, volume-capped Evidence and why-now attached Account queue Signal pinned to the account record A person approves any CRM change Source health Silent or failing sources flagged to ops Blocked pages recorded, never bypassed

02 Estimated impact

The value is timing: reaching an account while the trigger is still live, rather than months later when the decision is already made.

Estimated annual value
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How this is calculated
  • This models revenue from timing on accounts you already knew about, not from new accounts.
  • Capping alert volume matters more than maximising it — an ignored feed is worth nothing.
  • A model from your inputs, not a measured result at your organisation.
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