Key takeaways
- Sales intelligence is outside-in information about accounts and people.
- A CRM records what you did; sales intelligence describes the world around those records.
- Intent data is a separate, inferred layer, so ask how it is produced.
- The test of sales intelligence is whether it changes what a seller does today.
What data counts as sales intelligence
Sales intelligence data covers anything about a target account or person that helps a seller act. The most useful pieces are specific and recent: a note that a target opened an office in a new country last month does more than a dozen static fields.
- Company facts: industry, size, location, structure and ownership.
- Contact facts: role, seniority, work email and reporting lines.
- Events: funding, leadership changes, hiring, launches and expansions.
- Technology: the tools a company is known to use.
- Research notes: what the company says about itself on its own pages and in the news.
What is the difference between sales intelligence and a CRM
A CRM is the system of record for your own relationships: the contacts, deals, emails and notes your team created. Sales intelligence is information from outside that describes accounts and people, whether or not you have spoken to them.
The two meet when intelligence is attached to CRM records, such as a job title filled in by a tool or a research summary on an account. Keep the source and date visible when you do, so sellers can tell a fact they confirmed from one a tool supplied.
Is intent data part of sales intelligence
Intent data is often sold as part of sales intelligence, but it is a different kind of information. Company facts and contact details can be checked; intent data is an inference that a company is researching a topic, built from signals such as content reading across websites.
Inferences can help with prioritising, but they can also be wrong or out of date. Ask any provider what signals sit behind a score before you build a process on it. Triggers you can see for yourself, such as a job advert or a press release, are a safer starting point.
How do sales teams use sales intelligence
Sales teams use sales intelligence at three moments: choosing accounts, preparing for contact and timing the approach. When choosing accounts, it narrows a market to those that fit. Before contact, it gives a seller the two or three facts that make a first message relevant.
For timing, events such as a new leader or a new office suggest when a conversation is likely to be welcome. Without that layer, outreach lands whenever the seller happens to get round to it.
Where Pebbles Ai fits
- CapabilityResearch & analysisPebbles Ai assistants research a company from its public pages and answer with numbered citations and a source list, so every fact in your account notes can be traced. Pebbles Ai does not supply intent data.
- CapabilityProspecting & customer recordsCompany search finds matching companies by keyword, headquarters region, industry and headcount, up to 50 a search, and Find fresh leads adds the right people at up to ten of them, with work emails where found.
Common questions
Is sales intelligence the same as market intelligence?
They overlap. Market intelligence looks at a whole market, including its trends and competitors. Sales intelligence focuses on the individual accounts and people a seller will contact.
Do small teams need a sales intelligence tool?
Not always. A small team can get far with company websites, LinkedIn and careful notes in the CRM. A tool earns its place when research time starts to limit how many accounts you can work.
Where does sales intelligence data come from?
From company websites, public filings, news, job listings, professional networks and data providers. Each source has its own freshness and legal basis, so ask how each field was collected.
About this page. Written by the Pebbles Ai team for people who run sales, marketing and growth. Last updated .
