Skip to main content
The Unified Prospecting Engine is ECN’s core growth capability. Instead of buying a static list, you describe who you want to reach and the engine finds real people and companies showing active buying signals — then ranks them on how well they fit, how aligned their values are, and how strong their intent is. The same engine powers Sales, Recruiting, and Fundraising.

​
How it works

1

Consult

Jaguar interviews you (or reads your Context Pack) to understand what you sell, who buys it, and why — including the values that matter to your customers.
2

Define the ICP

The engine turns that into an Ideal Customer Profile: firmographics plus intent keywords — the things a real buyer says when they’re in-market.
3

Search the whole web

It searches across available sources (people/company discovery, social platforms, public records) using every connected tool, not a single vendor list.
4

Mine buying signals

It surfaces active signals — posts, reviews, permits, job changes — that indicate someone is considering a purchase now, and attaches the evidence (platform, snippet, link) to each prospect.
5

Score & rank with the Prospect Score

Each prospect gets an explainable Prospect Score (0–100): it starts from ICP fit, then lifts toward live buying intent decayed by signal recency (~30-day half-life — a fresh signal counts fully, a stale one fades). Intent only ever lifts a prospect; a weak or old signal never drags a strong-fit lead down. Small bounded bonuses reward reachability (a contact channel to act on) and decision-power (title seniority). Every score ships with its sub-score breakdown, a citeable why-now line, and a suggested next action.
6

Resolve, enrich, dedupe, and reach out

An entity resolver canonicalizes company names and domains so each signal maps to the right prospect (and duplicates collapse), then leads are enriched and de-duplicated against your CRM. Outreach is drafted per prospect and held for your approval before anything sends.

​
Values alignment

Jaguar is a consultative, shared-value advisor: it teaches Porter–Kramer shared value from the first interaction and bakes values alignment into the ICP — so “fit” for a regenerative buyer means mission alignment, not just firmographics. For recruiting and fundraising it goes further, exposing explicit values-alignment filters (and, for funders, mission areas) so you build a book of business with partners who share your mission. The numeric Prospect Score itself is fit + recency-decayed intent (+ small reachability/seniority bonuses); values alignment shapes the fit that score builds on, plus the filters above — it isn’t a separate weighted term.

​
Buying signals, concretely

A buying signal is evidence that someone is in-market right now. Examples:
  • A homeowner posting a kitchen-remodel project on Houzz or asking for contractor recommendations on a local forum.
  • A fund publicly announcing a new thesis or a fresh raise.
  • A company posting a job that implies a purchase (e.g. hiring for a capability you provide).
Each prospect card shows the source and snippet so you can verify the signal before you act on it.

​
Run it

B2B recipe — investors

Paste a domain → find aligned investors with live signals → book a conversation.

B2C recipe — homeowners

Find homeowners ready to remodel via Houzz/social/permits → book a consultation.
LLM and paid-data steps — enrichment, qualification, drafting, and buying-signal fetches — are metered in credits at real cost-plus. Some discovery paths call providers (e.g. Explee) directly; the rate card is the source of truth for what’s billed.
The prospecting engine is the focus of the v2 refactor (Linear TER-133–TER-138). Capabilities are landing incrementally; this page describes the target flow and is re-synced to the live system each docs iteration.