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No code, no jargon. Here’s what ECN’s Unified Prospecting Engine does on your behalf.
1

You consult with Jaguar

Jaguar is your AI growth partner. You tell it what you sell and who buys it (or it reads your business profile). It asks the questions a good advisor would — including what your best customers value.
2

It builds your ideal-customer picture

From that conversation it writes an Ideal Customer Profile: not just “kitchen remodelers” but the actual things an in-market buyer says and does.
3

It searches the whole web

It looks across the places your buyers actually are — social platforms, public records, people/company sources — using every tool available, not one vendor’s list.
4

It finds people showing they're ready

A buying signal is proof someone is in-market now — a remodel project posted this week, a fund announcing a new thesis, a job opening that implies a purchase. ECN keeps the source so you can verify it.
5

It scores and ranks them

Each prospect gets a Prospect Score: it starts from how well they fit your ICP, then rises for fresh buying intent (a signal from this week counts far more than one from three months ago). The best fit with the freshest intent rises to the top. Every score comes with a one-line why-now and a suggested next action (“reach out now — reference their post”).
6

You stay in control

Outreach is drafted for you, personalized to each prospect — and held for your approval. Nothing in the prospecting pipeline goes out until you say so.

What “values-aligned” means here

Jaguar is a consultative, shared-value advisor. It bakes your values into who counts as a good fit — so for a regenerative business, “ideal customer” means mission alignment, not just company size. For recruiting and fundraising it adds explicit values-alignment filters. (The numeric score itself is fit + fresh intent; values shapes the fit it builds on.)

Want the technical version?

The same flow, with the API and the scoring details, lives in the developer docs: Find prospects with buying signals.