Sales intelligence is a broad name for the facts a seller uses before and during a deal. Some of it comes from data providers, some from public records, and some from your own CRM and website. This guide explains what sales intelligence covers, where each kind comes from, how to use it in a prospecting workflow, and what it cannot tell you, so you can judge any source by the same questions.
01
What sales intelligence covers
Most sales intelligence answers one of three questions. Who is this company? Who works there? And has something changed that makes them worth contacting now?
Who they are
Company data
Industry, size, location, revenue band and the tools they run. It describes fit.
Who to reach
Contact data
Names, roles, emails and phone numbers for the people at each company.
Why now
Events and signals
Dated changes such as a hire, a new site or a deadline, plus signs of research or interest.
Data providers focus on the first two. The third is what gives you a reason to write now, and it is often the part that is missing. When the intelligence is about one named company rather than a market, it is often called account intelligence.
02
Sales intelligence and the terms people mix it up with
| Term | What it means | How it relates |
|---|---|---|
| Sales intelligence | Facts about companies and people used to decide who to contact, when and what to say | The umbrella term |
| Intent data | Signs that a company is researching a topic | One input to sales intelligence, about timing |
| Account intelligence | Everything known about one named company | Sales intelligence, applied to a single account |
| Data enrichment | Filling in missing fields on records you already have | A way of getting sales intelligence into your CRM |
| Market research | The size and shape of a market as a whole | Answers whether to sell in a market, not who to call |
| CRM data | What your team has recorded about its own accounts and deals | Your own sales intelligence, and the most trusted part of it |
The difference that matters most is between facts that describe a company and facts that describe a change. Buyer intent and dated events are about change; most of the rest is about fit. Getting either into the CRM is usually a job for data enrichment.
03
The types of sales intelligence, and where each comes from
| Type | What it tells you | Usual source | How fast it goes stale |
|---|---|---|---|
| Firmographics | Industry, size, location, ownership | Company registers, data providers, the company's own site | Slowly |
| Technographics | The software a company runs | Website code, job posts, public integrations | Over months |
| Contacts | Who holds each role, and how to reach them | Data providers, profiles, company pages | Steadily, as people change jobs |
| Hiring | Which roles a company is adding, and what the roles do | The company's own careers page, then job boards | Weeks |
| Events | New sites, leaders, funding, contracts, deadlines | Press releases, filings, regulators, local news | Weeks to a few months |
| Intent | Companies researching a topic | Review sites, publisher networks, ad platforms | Days to weeks |
| Your own engagement | Who visited, opened, replied or asked for a demo | Your website, CRM and email tools | Days |
The rows near the top describe who could buy. The rows near the bottom say something about timing. A good setup uses both: firmographics to choose the market, and dated events to choose the week.
04
Where the best sales intelligence comes from
The company's own words. Its website, careers page, press releases and annual reports. These are dated and hard to argue with.
Public records. Registers, filings, regulators and permits often date an event to the day, and many are free. Our report on free public records lists the ones worth checking.
Data providers. They gather company and contact data at scale. Coverage varies by region, company size and industry, so test a sample of your own accounts before relying on one.
Your own systems. Won and lost deals, website visits and replies. This is the only intelligence nobody else has.
Wherever it comes from, keep the source and the date next to each fact. A fact without a date cannot tell you whether it still holds.
05
How to use sales intelligence, step by step
- Start from your ideal customer profile. Decide which company facts define a fit before you look at any data. The steps are in how to create an ideal customer profile.
- Build the list from company data. Filter by industry, size, region and the tools they run, then check a sample by hand. How to build a prospect list covers the people side.
- Add a reason to act now. Look for a dated event at each account. Signal based selling shows how to build outreach around it.
- Research the person before you write. Role, what they own and what they have said in public. A prospect research template keeps it short.
- Write the source into the message. Name the event and where you saw it, so the buyer can check it.
- Feed results back. Record which facts and events led to replies and meetings, and drop the ones that never do.
06
What sales intelligence cannot tell you
Why now, from company data alone. Size and industry describe a customer type. They do not say this month is different from last month.
Whether there is budget. Only the buyer can tell you that, usually in a conversation.
Who really decides. Titles hint at it. The buying group behind a purchase often includes people a database does not list.
Whether a signal really comes before a purchase. A popular event can be just as common in companies that never buy. Check it against your own past wins first.
That it is still true. People move, companies change, and a fact copied from another source keeps its old date.
07
How to judge a sales intelligence source
Ask the same questions of any source, whether it is a database, a list or a service. Before comparing the tools, test each one on your own accounts.
- Coverage. Of fifty accounts you already know, how many does it have, with the right people?
- Freshness. Does each fact carry a date, and how old is the typical one?
- Sources. Can you see where a fact came from and check it yourself?
- Accuracy. Of a sample of emails or phone numbers, how many work?
- Timing. Does it tell you about events with dates, or only who fits?
- Fit with your work. Does it reach your CRM, or does it live in another tab nobody opens?
08
Common sales intelligence mistakes
Buying data before deciding what you need. Without a clear profile and a reason to contact, more data only means more emails nobody wanted.
Treating every field as equally true. Some facts are checked daily, others are years old. Look at the date.
Mistaking fit for timing. A company that matches your profile may have no reason to talk this quarter.
Never checking a sample. Ten accounts checked by hand show more about a source than any coverage claim.
Keeping it outside the CRM. Intelligence that the team cannot see when it writes is wasted.
09
The sales intelligence checklist
Before you rely on a source
- Your ideal customer profile says which facts matter.
- Every fact you use has a source and a date.
- You tested coverage on accounts you already know.
- You checked a sample of contacts by hand.
- You have at least one way to see dated events, not only fit.
- It reaches the CRM where the team works.
- Results are tracked back to the facts that led to them.
10
Where to go next
New to the research side? Start with what sales prospecting is.