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Intent data and buying signals

B2B intent data and buying signals, explained with real data

Intent data tells you which accounts may be looking. Buying signals tell you why they might need something now. This page covers both: the three sources of intent, the signal types worth tracking, how often each one happens across 8,518 companies, and how to act on a signal within a day.

18.7%
of accounts had a trigger event in Q3 2026
10.5 days
median gap between two triggers, at accounts with 2+ triggers
Semir JahicBy Semir JahicCEO & Co-Founder, SalesmotionLast reviewed

What is B2B intent data?

B2B intent data is evidence that a company is researching a problem or getting ready to buy. It answers two questions for a sales team: which accounts to work this week, and what to say to them. Buyer intent data is the same idea seen from the account's side: signs that a buying group is forming.

Intent signals are the single observations behind it: a pricing-page visit, a rise in topic research, a new job posting for the team you sell to. Buying signals is the wider term. It also covers events that change what an account needs, such as an acquisition, a funding round, a new executive or a priority named on an earnings call. Intent says an account may be looking. An event says why it might need something now.

The short version

  • One signal is weak evidence. Several at the same account in the same week is strong evidence.
  • A topic score tells you where to look. A public event gives you the reason and the first line.
  • In Q3 2026, 18.7% of 8,518 tracked companies had a hard trigger event. With relevant hiring, 30.8% did. Most signals are context, not reasons to call.

First-party, third-party and public-event signals

Each source answers a different question, so they work best together: one tells you who is looking, one tells you where to look, one tells you why now.

First-party intent

What accounts do on your own channels

Examples
Pricing-page visits, demo requests, webinar attendance, product sign-ups and usage, email replies
Strength
The strongest evidence that an account is looking at you. It names the account, and often the person.
Limit
You only see accounts that already found you. It says nothing about the rest of your territory.
Best for
Inbound follow-up, expansion and renewal plays

Third-party intent

Topic research measured across other websites

Examples
An account reads more content on a topic than its normal level across a publisher or review-site network
Strength
Covers accounts that have not visited you yet, at scale, and early in the research.
Limit
It shows a topic and a score, not a reason or a person. Reps must find the why before they reach out.
Best for
Prioritising which accounts marketing and SDRs work this week

Public-event signals

Things that happened at the account, on the record

Examples
A new executive, an acquisition, a funding round, relevant job postings, an earnings-call priority, an SEC filing
Strength
Each one has a source a rep can read and quote. It gives the reason to call and the first line of the message.
Limit
An event is not research. It shows that needs changed, not that the account is comparing vendors today.
Best for
Outbound to named accounts, account planning and executive outreach

Salesmotion works on the third column: it monitors public events across 1,000+ sources and 50+ signal types for the accounts you track, and links every signal to its source. For the trade-offs between data types, read contact data vs intent data and finding in-market accounts without third-party intent.

Buying signal types, with examples

Twelve signals sales teams track most, where each comes from, what it usually means and how fast to act. Response windows follow the priorities in the signal-based selling guide.

SignalSourceExampleWhat it usually meansAct within
Pricing or comparison page visitsFirst-partyThree people from one account read your pricing and security pages in the same weekAn active evaluation that includes you24 to 48 hours
Product usage changeFirst-partyA second team at a customer starts using the productExpansion potential, or a new owner formingWithin a week
Topic research surgeThird-partyAn account's reading on your category rises above its usual level across a publisher networkEarly research on the problem, reason unknownVerify, then 1 to 2 weeks
Review-site category researchThird-partyAn account compares vendors in your category on a software review siteA shortlist is forming24 to 48 hours
Leadership changePublic eventA new VP of Sales joins from a company that already ran your type of toolNew leaders review priorities and tools in their first months7 to 14 days
M&APublic eventThe account acquires a company in an adjacent marketIntegration work, duplicate tools and new budget owners1 to 2 weeks
Funding roundPublic eventA growth round closes with a stated plan to expand into EuropeHiring and new tooling tied to the stated plan14 to 21 days
Relevant hiringPublic eventFive open roles for the team your product servesThe team is growing into the problem you solve1 to 2 weeks
Earnings callPublic eventThe CFO names sales productivity as a priority for next yearAn executive priority you can quote back24 to 48 hours
SEC filingPublic eventA 10-K adds a cost program or a new risk factor in your areaA stated priority with budget behind it1 to 2 weeks
Product launch or expansionPublic eventThe account enters a new country or launches a new product lineNew go-to-market needs and new buyers1 to 2 weeks
Regulatory decisionPublic eventA product approval or a new compliance rule that applies to the accountLaunch work, new processes, new vendorsWithin a week

Which buying signals open deals, and how often they happen

Not every signal is a reason to call. Five news categories tend to reopen budgets, priorities or vendor choices: M&A, funding, partnerships, expansion and product launches. These are the trigger events, and relevant hiring is close behind. Everything else is context: it improves the message but rarely justifies one. The charts below show how often each happens, from Salesmotion's first-party benchmark of 8,518 tracked companies in Q3 2026 (1 July to 30 September 2026). It measures how often signals occur, not win rates.

Share of companies with each kind of news event

8,518 companies, Q3 2026. Each company counted once per category.

Show the data as a table
ItemShare of companiesType
Other news48.3%Context
Financial results48.1%Context
Leadership and executive news43.4%Context
Strategy39.3%Context
Technology or AI17.5%Context
M&A9.9%Trigger event
Regulatory and legal news8.4%Context
Funding or IPO4.3%Trigger event
Product launch3.2%Trigger event
Expansion or new market2.7%Trigger event
Partnership2.0%Trigger event
Clinical1.3%Context

Share of companies with a trigger event, by size

Employees. Trigger = M&A, funding or IPO, partnership, expansion, product launch.

Show the data as a table
ItemShare with a trigger event
1 to 200 employees8.4%
201 to 1,00012.8%
1,001 to 10,00018.3%
10,001+39.6%

Signals per 100 companies in one quarter, by type

What a 100-account book produces in a quarter, Q3 2026. Hiring and podcast coverage grew during 2026, so earlier quarters were lower.

Show the data as a table
ItemSignals per 100 companies
News933
Podcast or video mention314
Press release117
Relevant hiring70
Earnings call26
SEC filing20

M&A is the most common hard trigger

9.9% of tracked companies had an acquisition, merger or divestiture story in one quarter. Integration work, duplicate tools and new budget owners follow.

Funding is rarer than its reputation

Only 4.3% had a funding or IPO story. A prospecting motion built only on funding alerts runs dry for most books of accounts.

Leadership news needs a check

43.4% of companies appeared in leadership and executive news, but in a hand check only about a third of those stories were appointments or departures.

Size decides volume

39.6% of companies with 10,001+ employees had a trigger event in the quarter, against 8.4% of companies with 200 or fewer. Enterprise books need filtering, small ones need coverage.

Triggers come in clusters

At companies with two or more trigger events, the median gap between them was 10.5 days (May to September 2026). A signal that waits a month has usually been overtaken.

Most of the volume is research material

100 tracked companies produced about 1,500 signals in a quarter, most of them news and podcast mentions. Use those for the first line of a message, not as the reason for it.

Download the aggregate data (CSV)

How to act on a buying signal within a day

Monitoring is the part to automate. Nobody can read news, filings, earnings calls and job boards for 100 accounts every day. Judgement is the part to keep: whether the signal matters, and a message that shows you understood it. This is the working day from signal to sent message.

From signal to sent message in one working day: a signal lands at hour 0, research takes one to four hours, outreach goes out the same day, and the signal and play are logged to the CRM by the end of the day.
  1. Hour 0

    1.Signal

    An event lands on a tracked account: a new VP, an acquisition, an earnings-call priority, five new roles.

    Earnings callNew executiveM&AHiring
  2. Hours 1 to 4

    2.Research

    Check the source, find the consequence for your offer, and pick the person who owns it.

    Is it new?Why it mattersWho owns it
  3. Same day

    3.Outreach

    One message that names the event, the consequence and one specific idea. A rep reviews it before it goes out.

    EmailLinkedInSecond stakeholder
  4. End of day

    4.Log

    The signal and the play go onto the CRM account, so the next signal builds on this one.

    CRM accountSlack alertNext signal
  1. Step 1 · First hour

    Triage

    Sort the new signal: trigger (M&A, funding, partnership, expansion, launch, relevant hiring) or context (results, strategy, executive commentary). Context goes into the account notes. Triggers go to the account owner.

  2. Step 2 · Same morning

    Verify

    Open the source. Is it new, is it about this account, and does it touch what you sell? Leadership news needs this check most: in the benchmark only about a third of those stories were real appointments or departures.

  3. Step 3 · Same day

    Research

    Find the consequence, not only the event. What does the acquisition mean for their tools, the funding for their hiring plan, the new leader for their first 90 days? Then pick the person who owns that consequence.

  4. Step 4 · Within 24 hours for high-priority signals

    Reach out

    One message that names the event, the consequence and one specific idea. No pitch deck, no generic value proposition. Multi-thread to a second stakeholder if the signal touches more than one team.

  5. Step 5 · Same day

    Log it

    Write the signal and the play onto the CRM account, so the next signal at that account builds on this one. At accounts with triggers, the next one often arrives within two weeks.

What sales teams say about intent data

Patterns from recorded sales conversations with B2B revenue teams in 2026, anonymised by role and company type.

A topic score is too vague to act on

The most common complaint about third-party intent: it says an account is interested in a topic, but not who, why or what happened. Reps want an event they can name and a source they can open.

Heard in 4 calls: enterprise AEs, GTM and RevOps leads at SaaS companies, BD reps at research services firms

Noise is the fear, not missing data

Buyers worry more about the signal-to-noise ratio than about coverage. They want to choose the signal types that matter for their offer and hide the rest.

Heard in 2 calls: a fintech startup and an early-stage GTM team

Early beats complete

A signal at the end of an account's research is too late, because the shortlist is already made. Teams want the event that comes before the buying process, and they want it the day it happens, not three weeks later.

Heard in 4 calls: sales ops at a fraud-prevention company, life-sciences sales leaders, tech-services GTM teams

Tell reps who to contact, not everything that happened

Public news reaches every vendor at once, so the account gets the same message from many sellers. Sales leaders want a ranked answer: which account, which person, which angle, instead of a feed to read.

Heard in 2 calls: sales leaders at a specialist research services firm and a large life-sciences company

People moves are the most usable signal

Buyers named new executives and former champions at new companies as signals they can act on at once. A known contact in a new seat tends to bring the tools they already trust.

Heard in 2 calls: sales and GTM leads at SaaS companies

Fit first, then intent

Teams that use intent well apply it inside the ideal customer profile. Fit decides whether an account belongs on the list; intent and events decide which ones to work today.

Heard in 2 calls: RevOps at a facilities SaaS, chief of staff at an IT-services firm

Every intent data and buying signals guide, by job

62 guides, grouped by what you are trying to get done.

Understand intent data and buying signals

Definitions, the difference between data types, and what makes a signal worth acting on.

Choose an intent data provider or signal tool

Reviews, pricing and buying criteria for intent data and buying-signal software.

Find in-market accounts and prioritise them

Turn signals into a ranked list of accounts to work this week.

Act on a signal: outreach and plays

From signal to sent message, with examples, scripts and the metrics to track.

Work one signal type well

Playbooks for the triggers sellers ask about most.

Grow and keep existing customers

Use outside signals for expansion and churn risk, not only for new logos.

Buying signals by industry

What to watch in the market you sell into.

Intent data FAQ

What is buyer intent data?

Buyer intent data is the same idea seen from the account's side: signals that a buying group is forming or a purchase is getting closer. The strongest buyer intent is first-party, because it names the account that is looking at you. Third-party intent shows research on a topic but not the reason. Public events give the reason, and a source a rep can quote in the first line of a message.

What is the difference between intent data and buying signals?

Intent data usually means research behaviour: what an account reads or searches. Buying signals is the wider term. It includes intent data and also events that change what an account needs, such as M&A, funding, leadership changes, hiring, product launches and earnings-call priorities. Intent says an account may be looking. An event says why it might need something now. The best plays combine both. See the buying signals guide.

What are intent signals?

Intent signals are the single observations that make up intent data: a visit to your pricing page, a spike in topic research, a vendor comparison on a review site, a new job posting for the team you sell to. One signal is weak evidence. Several signals at the same account in the same week are strong evidence. The intent signals guide covers how to score and act on them.

Which buying signals happen most often?

In Salesmotion's benchmark of 8,518 tracked companies in Q3 2026, M&A was the most common hard trigger: 9.9% of companies had an acquisition, merger or divestiture story in the quarter. Funding or IPO reached 4.3%, product launches 3.2%, expansion 2.7% and partnerships 2.0%. 18.7% of companies had at least one of these, and 30.8% when relevant hiring counts. Full data: B2B buying signals benchmark.

How fast should sales act on a buying signal?

Triage every signal the day it arrives, and act on high-priority ones within 24 to 48 hours: a new executive in your buyer persona, an earnings-call priority in your area, or several signals in one week. Medium signals such as hiring or a product launch can wait one to two weeks. Speed matters because signals stack: at companies with two or more trigger events, the median gap between them was 10.5 days.

Is third-party intent data accurate?

It is useful for ranking accounts and weak on its own for outreach. Topic-surge data shows that an account's research on a subject rose, but not who researched, why, or whether it relates to a purchase. Treat a surge as a reason to look closer: check for a public event or first-party activity at the same account before a rep reaches out. The contact data vs intent data post explains where each fits.

How much does intent data cost?

Most dedicated intent data providers do not publish a price, so the cost is set in a sales conversation. The intent data providers review compares what is known for 12 of them. Salesmotion monitors public-event signals across 1,000+ sources. The Individual plan is $85/mo for up to 100 accounts, billed monthly. For larger teams, talk to us.

See which of your accounts moved this quarter.

Salesmotion watches 1,000+ public sources for the accounts you track and drafts the outreach. From $85/mo for 100 accounts. Book a 30-minute demo or try the interactive demo first.