10 intent signals
Ten signals. One company. One pipeline.
Each signal is a standalone, deterministic step. You drop in a CSV with company names, pick which signals to measure, and get a campaign-ready output. No magic and no "it'll just work". Around 30 minutes per 400 companies.
Identity signal — Company name → domain
Identity signal: whether the company actually exists under this name and owns a live domain. Takes the dirty names from your CSV and maps them to verified, current domains. Catches rebrands, mergers, acquisitions. Without this signal everything else is garbage in, garbage out.
Activity signal — Focus
Activity signal: what the company actually does today, not three years ago. One sentence pulled from the current site, job posts in the last 90 days and recent comms. No more pitching to a company that has long since changed its industry or stage.
Fit signal — Lookalike score 1-10
Fit signal: how tightly the company matches your ICP across 6 layers (filters, technographics, trigger events, champion, buying committee, anti-ICP). Score 1-10 grounded in real logic we set together with you. Not industry tags pulled from a database.
Pain signal — Painpoints
Pain signal: 1-2 concrete challenges your offer actually answers, pulled from current comms, job posts and industry data. No generic "scaling" or "efficiency" — nobody replies to those anymore.
Risk signal — Warning
Risk signal: a flag no other database will show you. Blacklist, your current customers, direct competitors, companies in due diligence or layoffs. Skip them before you burn a token on a message and your reputation on a shot at someone who already buys from you.
Technographic signal — Ecommerce stack
Technographic signal: whether the company runs on Shopify, WooCommerce, Magento, BigCommerce or something custom. For SaaS selling integrations, this is make-or-break. The signal says: "we can talk integrations with them from the very first email".
Buying behavior signal — Outsourcing patterns
Buying behavior signal: whether the company buys outside, what and where. Shows whether they have budget for external services, which partners they trust, and where their decision-maker built their experience. The message lands with the right human, not a random database email.
Language signal — Local vocative
Language signal: the correct local language form (Polish vocative: "Marcinie" instead of "Marcin"). To the reader it reads as "a person wrote this, not a template". Small detail, can flip response rate on its head.
Signal-driven outreach — Invite
Signal-driven outreach: a 300-character LinkedIn invite anchored on ONE verified signal from steps 02-07. No AI-isms, no "hope this email finds you well". Personalisation on facts, not on guessing.
Signal-driven outreach — Messages
Signal-driven outreach: three follow-ups per prospect, each grounded in a different signal (technographic, pain, activity). You approve every message before sending. You, not a bot. Always.
Honest part
No signal will make the call for you.
We learned this the hard way and on our own budget: AI autopilot in prospecting burns money and reputation. So each of the 10 SOutreach signals gives YOU material to decide on: who fits, who to skip, how to write. You approve before every send. By design, not by accident.