Plain-English definitions for the terms that get used a lot in outbound and rarely explained well. Use this as a reference, or read top to bottom — each entry starts with a one-sentence answer.
Outbound intelligence
Outbound intelligence is research about a target company — what they do, what they use, and whether they're a real fit — applied before you write the email.
Traditional outbound starts with a contact list and a template. Outbound intelligence starts with the company: what they sell, who they sell to, what tools and conversion paths they use, and whether the timing makes sense. The goal is a smaller list with a much higher reply rate, not a bigger list with the same dismal one.
Lead quality
Lead quality is how likely a specific lead is to become a real conversation, based on fit, activity, and contactability — not how recent the data is.
A high-quality lead has three things: clear fit with your offer, signs the business is active (live site, working forms, current content), and at least one contact you can reasonably reach. A fresh email address attached to a dead company is still a bad lead.
Sales-ready lead
A sales-ready lead is a company with a clear fit signal, a working conversion path, and a direct contact — someone you could realistically start a conversation with today.
Sales-ready does not mean ready to buy. It means ready to be approached: the business looks real and active, you can articulate why you're reaching out specifically to them, and there's a human on the other end (not just info@). Signal scores leads on this combination so you stop spending time on prospects that were never going to reply.
Enrichment
Enrichment is the process of adding context to a lead — like tech stack, contact role, or company signals — so you can decide what to do with it.
Most tools enrich with firmographics: industry, headcount, revenue. Signal enriches with behavioral and operational context: what booking tool they use, whether they run ads, how they handle inbound, whether their contact form actually works. That's the context that changes what you write, not just who you write to.
Contact quality
Contact quality measures how likely an email address is to reach a real decision-maker rather than a shared inbox.
Direct contacts (firstname@company.com) outperform generic inboxes (info@, hello@, contact@) by a wide margin in reply rate. Signal labels each contact so you know whether you're sending a personalized pitch to a person or dropping a message into a queue nobody owns.
Buying signals
Buying signals are observable indicators that a company is in motion — hiring, launching, advertising, switching tools — and might be receptive to outreach right now.
Examples: a new pricing page, a freshly added booking flow, ad pixels indicating an active campaign, a chat widget that wasn't there last month. None of these guarantee a sale, but together they separate companies that are actively building from companies that are coasting.
Personalization at scale
Personalization at scale means writing outreach that sounds individually researched, without manually researching every recipient.
It only works when the research itself is automated. If a tool gives you a templated opener with the company name dropped in, that's not personalization — that's mail merge. Real personalization references something specific the recipient could verify: a page on their site, a tool they use, a problem they've publicly described.
AEO (Answer Engine Optimization)
AEO is the practice of structuring your content so AI systems like ChatGPT, Claude, and Perplexity can quote it accurately when answering user questions.
Where SEO optimizes for clicks from search results, AEO optimizes for citations inside AI-generated answers. The mechanics overlap (clean HTML, semantic structure, schema, factual definition-first sentences) but the goal is different: you want a model to be able to extract one true, self-contained sentence about you and use it.
SEO score (in Signal)
Signal's SEO score is a 0–100 read of how discoverable a company's website is — title tags, meta descriptions, structure, mobile readiness, and indexability.
It's not a replacement for a full audit. It's a fast signal: if a target company has obvious SEO gaps, that often pairs with other problems (or, more usefully, an opportunity to lead with). Signal exposes the score and the reasoning so you can use it as either a qualification filter or a talking point.
Conversion signals
Conversion signals are the elements on a website that show how a business turns visitors into leads — forms, booking links, chat, calls to action, pricing pages.
If a company has no working conversion path, outbound is the wrong channel for them right now. If they have a strong one, you know how they prefer to be approached. Signal flags what's present so you can match your outreach to how they actually do business.
Generic vs. direct email
A generic email goes to a shared inbox (info@, sales@, contact@). A direct email goes to a specific person (firstname@company.com).
Direct emails get read faster, replied to more often, and forwarded internally when they're not the right person. Generic inboxes are usually filtered, ignored, or owned by nobody. Signal separates the two so your highest-effort messages land in the highest-leverage inbox.
Pipeline (in Signal)
The pipeline is the simple status flow each lead moves through inside Signal — from new research to contacted, replied, qualified, and closed.
It's intentionally lightweight. The goal isn't to replace a full CRM; it's to keep the lead, the research, the outreach draft, and the status in one place so nothing slips between a list, an inbox, and a spreadsheet.