How to Find High-Intent B2B Leads (2026): Signals, Tools, and a 7-Step Workflow

Last updated: 24 September 2026 · By Sudipta Biswas, Co-founder of Floworks (Y Combinator), which builds Agent Jesse, a prospecting search engine · Tool facts checked against each vendor's official documentation and pricing pages, 1–24 September 2026; no trial accounts were used

Disclosure: this guide is published by Agent Jesse, a Floworks product. Agent Jesse appears in the tool map alongside 16 other tools, each described from its own documentation. Where another tool fits a job better, this guide says so.

Quick answer

High-intent B2B leads are accounts that fit your ideal customer profile and are showing recent buying behaviour. Typical signals: pricing-page visits, G2 comparisons, a Bombora topic surge, hiring for the problem you solve, or LinkedIn engagement with your team. To find them, pick the 3–5 signals that preceded your past wins. Track each with one tool, score fit × signal × recency, and act on the strongest signals the same business day. Ehrenberg-Bass research puts only about 5% of B2B buyers in market in a given quarter, so timing matters as much as volume.

On this page: what counts as high intent · the signal-to-tool map · the 7-step workflow · G2 vs Bombora vs 6sense · Sales Navigator buyer intent · intent data accuracy · free options · mistakes · 14 FAQs.

What are high-intent B2B leads?

A high-intent B2B lead is a company or person that matches your ICP and has taken an observable action suggesting an active purchase. Fit alone is not intent. A 200-person SaaS company in your target vertical is a good-fit account; the same company comparing three vendors on G2 this week is a high-intent account.

Intent has three parts. Leads that show all three are the ones worth a same-day call:

• Fit. The account matches your ICP on industry, size, geography, and tech stack.
• Signal. The account did something that correlates with buying: researched a topic, visited a pricing page, posted a relevant job, changed leadership.
• Recency. The action happened recently enough to still matter. Bombora, for example, compares the most recent three weeks of activity against a 12-week baseline, and 6sense predicts the likelihood of an opportunity in the next 90 days.

Why timing matters. The LinkedIn B2B Institute's 95-5 rule holds that 95% of potential buyers "aren't ready to buy today." The Ehrenberg-Bass Institute research behind it puts about 5% of B2B buyers in market in a given quarter. 6sense's 2025 Buyer Experience Report (vendor research, nearly 4,000 buyers) found buyers first engage sellers 61% of the way through the journey, down from 69% in 2024. They bought from their Day One shortlist 95% of the time, up from 85%.

"Buyers are choosing a preliminary winner much earlier than they have in the past. […] The real urgency for revenue teams is to influence those early journeys before buyers reach out."

— Kerry Cunningham, Head of Research & Thought Leadership, 6sense (6sense newsroom, 12 November 2025)

What are the main types of B2B buyer intent signals?

B2B intent signals fall into three groups by who owns the data: first-party, second-party, and third-party. TrustRadius defines them this way:

• First-party intent comes from your own properties: website visits, content downloads, product usage, CRM activity. It is the most specific signal because the account engaged with you.
• Second-party intent comes from another business sharing its own first-party data. Review sites such as G2 and TrustRadius sell this. LinkedIn's engagement data works in a similar way.
• Third-party intent is aggregated from many external sites and modelled. Bombora's Company Surge is the best-known example.

Alongside these sit trigger events — public changes such as funding, hiring, a new location, or a leadership hire — and lookalike fit, which finds accounts resembling your best customers. A lookalike is a fit signal, not an intent signal, and should be paired with one.

Which intent signals map to which tools and playbooks?

Table: High-Intent Signal Map, compiled by Agent Jesse from the official documentation of 17 tools, September 2026. Tool facts come from each vendor's official pages, reviewed 1–24 September 2026. "Goes stale" is an editorial rule of thumb, not a measured benchmark.

What this table shows: website and review-site signals record engagement with your company or category, which is why they sit closest to a purchase and expire fastest, so they need same-day routing. Third-party surges and lookalikes are best for prioritisation, not for the opening line of an email.

How to find high-intent B2B leads: the 7-step workflow

Step 1 — Define fit before you look for intent

Write down the firmographic filters that must be true before any signal counts. Industry, employee range, geography, tech stack, and buyer title are the usual five. An intent signal from an account outside your ICP is noise, however loud it is.

Step 2 — Reverse-engineer the signals from your last 20 wins

Pull your last 20 closed-won deals and list what happened at each account in the 90 days before first contact. Look for repeated patterns: a pricing-page visit, a G2 comparison, a VP of Sales hire, a funding round. Keep the three to five signals that appear most often. This is your signal shortlist, and it will differ from any vendor's default list.

Step 3 — Instrument your first-party signals

Start with the signals you own, because they are the most specific and the cheapest. Install a website visitor identification tool and tag your pricing, demo, and comparison pages as high-intent. RB2B's free plan resolves 150 company-level visits a month; person-level identification is US-only. Leadfeeder's free Lite plan shows the last 100 companies each month with a 7-day history.

Step 4 — Add second-party, third-party, and live-web signals

Layer external signals only where your Step 2 analysis says they predict deals. If buyers compare vendors on G2 before buying, add G2 Buyer Intent. If deals follow topic research, add Bombora or 6sense. If deals follow public events — a new location, a funding round, a first sales hire — add a trigger-event source such as Clay Signals, PredictLeads, or a live-web search tool like Agent Jesse. Write the event as a specific query: "SaaS companies in Texas that posted their first SDR job in the last 30 days."

Step 5 — Score fit × signal × recency

Give every account one number so reps work the list top-down instead of by gut feel. A simple starting model: fit 0–3, strongest signal 0–3, recency 0–3, multiplied. The model is an example to adapt, not a benchmark. Re-weight it after 60 days using Step 7 data.

Worked example. A 150-person fintech in your target region (fit 3) viewed your pricing page and a G2 comparison (signal 3) in the last 48 hours (recency 3): 3 × 3 × 3 = 27, so it gets a call today. A good-fit account (fit 3) whose only signal is a hiring post (signal 2) from last month (recency 2) scores 12 and goes into a sequence. Suggested bands: 18–27 call today · 8–17 sequence · below 8 nurture.

Step 6 — Route and act while the signal is fresh

Send each high-scoring account to one named owner with the signal attached, and set a response window per signal type. Speed matters. A frequently cited, though dated, Harvard Business Review analysis (2011) found firms that contacted leads within an hour were nearly seven times as likely to qualify them. Lead with the public reason for reaching out, never with surveillance.

"If I had to pick one word, it's relevance. It is showing up, showing that you have a valid reason for contacting them."

— Jen Allen-Knuth, Founder, DemandJen (G2 Learn interview, 13 June 2025)

Step 7 — Measure signal-to-meeting conversion and prune

Track reply rate and meetings booked per 100 accounts for each signal type, monthly. Drop signals that do not convert and raise the weight of the ones that do. Instantly's 2026 Cold Email Benchmark Report puts the average cold email reply rate at 3.43%, based on 2025 activity on Instantly's platform. That is an all-outreach average, so the better test is your own non-signal baseline: a signal whose reply rate does not beat it is a candidate to cut.

G2 Buyer Intent vs Bombora vs 6sense: what's the difference?

Table: G2 Buyer Intent, Bombora Company Surge, and 6sense compared from each vendor's documentation, September 2026.

What this table shows: G2 tells you who is comparing vendors in your category, Bombora tells you who is researching a topic, and 6sense predicts which stage an account is in. They answer different questions, so one option is to pair G2 with one of the other two.

Where each one wins. In our assessment, G2's signal is the closest of the three to a purchase decision, but only covers buyers who research on review sites. The Forrester Wave: Intent Data Providers for B2B, Q1 2025 put it this way: G2's "focused industry offering of insights collected from software reviews makes it difficult to achieve an on-par score for criteria such as signal volume, keyword coverage, or collection methodologies." Bombora describes its co-op as 5,000+ B2B sites, but its signal is topic-level rather than tied to your product or competitors. 6sense is designed for predictive prioritisation across a large named-account list, and its quote-based packages are aimed at enterprise teams.

How does LinkedIn Sales Navigator buyer intent work?

LinkedIn Sales Navigator's buyer intent feature shows which companies are actively showing interest in yours. LinkedIn describes it as an Advanced and Advanced Plus plan feature. LinkedIn lists the activities that feed it:

• Company engagement: following your company or visiting its LinkedIn page
• Employee interactions: visiting a seller's profile, connecting with a seller or colleague, or visiting your leadership's profiles
• Ads engagement: completing a lead-gen form or engaging with your LinkedIn ads
• Outreach response: accepting an InMail request to a colleague
• Website visits: visiting your company's official website

Alerts differ by plan. Per LinkedIn, job and role-change alerts are on all plans, while content-engagement alerts are on Advanced Plus only. LinkedIn's compare-plans page listed Advanced at $159.99/month billed monthly, or $1,799.88/year, in September 2026; prices vary by region.

Where Sales Navigator falls short: it provides no email addresses or phone numbers, and its intent covers only activity on LinkedIn and your own site.

Is intent data accurate?

Intent data is a prioritisation input, not a prediction that an account will buy. Four limits apply to every source in this guide:

• Coverage is partial. Visitor identification resolves a minority of traffic: RB2B lists coverage of 15–20% to 35–45%, depending on plan and whether it resolves the company or the person (US only).
• Research is moving where trackers can't see it. G2's survey of 1,076 B2B software decision makers (published April 2026) found 51% of B2B software decision makers now start research in an AI chatbot rather than a traditional search engine, up from 29% in April 2025. Technical buyers also research in docs, GitHub, and communities that publisher co-ops do not track.
• Third-party surges are relative. Bombora flags a company when its research on a topic rises against its own 12-week baseline, which shows change in attention, not budget or timing.
• Predictive scores are opaque. Customers quoted in Forrester's Q1 2025 Wave asked 6sense for "more data transparency behind predictive model scores."

None of G2, Bombora, or 6sense publishes a false-positive rate in its public documentation. The practical answer is Step 7: measure reply and meeting rates per signal in your own pipeline and keep only the signals that beat your baseline.

Can you find high-intent B2B leads for free?

Yes, for first-party and trigger-event signals. Free plans from RB2B (150 company-level resolutions a month) and Leadfeeder Lite (last 100 companies) cover website visitors. A manual watch on job boards and company LinkedIn pages covers hiring and leadership changes; Sales Navigator adds job-change alerts on all its paid plans. For trigger events, free options include Google Alerts on target accounts and Agent Jesse's free plan for live-web search; Clay's signals start on paid plans. Paid third-party intent becomes worth it when volume outgrows manual review.

Where does Agent Jesse fit, and where doesn't it?

Agent Jesse is built for live-web trigger events and hiring signals described in plain English. It searches the live internet on each query rather than a stored list, so results reflect what is published that day. Agent Jesse's free plan includes 1,000 one-time credits; a company search uses 10 (pricing, September 2026).

Agent Jesse does not identify your website visitors, does not run a third-party intent co-op, and has no sequencer. Pair it with a visitor-ID tool for first-party intent and an outreach tool for sending. For enterprise ABM across hundreds of named accounts, 6sense's predictive stages are the better fit.

What are the most common mistakes when chasing high-intent leads?

• Treating fit as intent. A lookalike list or a title filter tells you who could buy, not who is buying.
• Quoting the signal back to the buyer. "I saw you visited our pricing page" reads as surveillance. Use the public reason instead.
• Buying every intent source at once. Add sources only where your Step 2 analysis shows they predict deals.
• Acting too late. As a rule of thumb (see the signal map), website and G2 signals go stale within days to a couple of weeks, so a week-long wait for a rep wastes most of their value.

"Bad prospecting actively damages relationships with potential customers."

— Robert Blaisdell, VP Analyst, Gartner Sales Practice (Gartner, 25 June 2025)

The same Gartner survey of 632 B2B buyers found 73% actively avoid suppliers who send irrelevant outreach. Intent signals exist to make outreach relevant, not more frequent.

Frequently asked questions

What are high-intent B2B leads?

High-intent B2B leads are companies or people that fit your ideal customer profile and have recently done something that signals an active purchase. Examples include visiting your pricing page, comparing vendors on G2, hiring for a role your product supports, or surging on a Bombora research topic. Fit without a signal is only a prospect; a signal from outside your ICP is noise.

How do I find high-intent B2B leads?

Start by listing what happened at your last 20 closed-won accounts in the 90 days before first contact, and keep the three to five signals that repeat. Track each with one tool, score accounts on fit × signal × recency, and route the top scorers to a named owner the same day. Measure meetings per 100 accounts per signal monthly and prune what doesn't convert.

What tools identify high-intent B2B leads?

Tools map to signal types. RB2B, Leadfeeder, and HubSpot Buyer Intent identify website visitors. G2 Buyer Intent covers review-site research. Bombora and 6sense cover third-party topic research. LinkedIn Sales Navigator Advanced covers LinkedIn engagement. PredictLeads tracks job posts; Clay tracks new hires and job changes. Agent Jesse searches the live web for trigger events in plain English. In practice, most teams need one first-party tool plus one or two external sources, not all of them.

What are LinkedIn Sales Navigator buyer intent signals?

LinkedIn Sales Navigator buyer intent signals flag companies showing interest in yours, and LinkedIn lists them as an Advanced and Advanced Plus feature. According to LinkedIn, they come from following or visiting your company page, visiting or connecting with your sellers, engaging with your ads or lead-gen forms, accepting InMails, and visiting your official website. Content-engagement alerts are limited to Advanced Plus as of September 2026.

What's the difference between G2 intent, Bombora, and 6sense?

G2 Buyer Intent is second-party data showing which companies viewed your profile, pricing, category, or competitor pages on G2. Bombora Company Surge is third-party data from a co-op of 5,000+ B2B sites, flagging companies researching a topic above their baseline, updated weekly. 6sense combines intent sources, including Bombora, with a predictive model that places accounts in five buying stages over a 90-day horizon.

Is G2 Buyer Intent better than Bombora?

G2 Buyer Intent is better when your buyers compare software on review sites, because the signal is tied to your category and competitors. Bombora is better when you need broad reach across 5,000+ B2B publisher sites and 21,600+ topics, or when you sell something buyers rarely review on G2. One option is to run both: Bombora for early prioritisation, G2 for late-stage comparison signals.

How is intent data collected?

First-party intent data is collected from your own website, product, and CRM. Second-party intent comes from a partner's own audience, such as G2 page views or LinkedIn engagement. Third-party intent, like Bombora's, is collected from a co-op of publisher sites and resolved to companies, typically from IP addresses and domains. It is then compared against each company's historical baseline to detect a surge.

Is intent data accurate?

Intent data is directional, not certain. Even first-party identification leaves most visits anonymous: RB2B lists coverage of 15–20% to 35–45%, depending on plan and whether it resolves the company or the person (US only). Third-party intent misses research in docs, communities, and AI assistants, where G2 found 51% of B2B software decision makers now start research in an AI chatbot rather than a search engine. G2, Bombora, and 6sense publish no false-positive rates, so test each signal against your own pipeline.

Why is intent data less accurate for technical buyers?

Technical buyers often research in product documentation, GitHub repositories, developer forums, and communities that third-party publisher co-ops do not track. Their buying activity therefore produces fewer topic-surge signals. For technical products, first-party signals such as docs visits, sign-ups, and product usage, plus hiring signals such as new platform or security roles, are usually more reliable than third-party topic surges.

How fast should I follow up on a buyer intent signal?

Follow up on website and review-site signals within the same business day, because, as a rule of thumb, they go stale fastest. Assign each signal type a named owner and a response window so nothing waits in a queue. Hiring and funding signals allow more time, typically days to a few weeks, because the need they create lasts longer.

How do I reach out to a high-intent lead without being creepy?

Reference the public reason to talk, not the tracking data. Mention the funding round, the job post, or the new location, and connect it to a problem you solve. Avoid lines like "I saw you on our pricing page". Gartner's June 2025 survey found 73% of B2B buyers actively avoid suppliers who send irrelevant outreach, so relevance matters more than speed alone.

Can I find high-intent B2B leads without paying for intent data?

Yes. RB2B's free plan resolves 150 company-level website visits a month, and Leadfeeder's free Lite plan shows the last 100 visiting companies. Job boards and company LinkedIn pages cover hiring and leadership changes at no cost. Google Alerts on target accounts cover trigger events such as funding, expansion, and new locations. Paid third-party intent becomes worth it once manual review can't keep up with volume.

What's the best intent data tool for a startup?

For an early-stage startup, first-party and trigger-event signals give the best return per dollar. A free website visitor tool such as RB2B or Leadfeeder Lite, plus a trigger-event source such as PredictLeads or Agent Jesse's free plan for funding, hiring, and expansion events, covers most early needs. Enterprise intent platforms like 6sense publish no pricing and are built for large named-account programmes.

Is website visitor identification legal?

Company-level identification from IP addresses is widely used, but person-level identification is more restricted. RB2B, for example, states its person-level identification is US-only, with company-level coverage elsewhere. If you sell into the EU or UK, check your lawful basis under GDPR Article 6 and the tracking rules of the ePrivacy Directive with counsel before identifying individuals. Treat this as a compliance question, not just a tooling choice.

Tool facts in this guide come from each vendor's official documentation and pricing pages, reviewed 1–24 September 2026, and are re-checked quarterly. The High-Intent Signal Map was compiled by Agent Jesse from that documentation review; market statistics belong to the original sources linked at each claim. Related reading: how to build a high-intent outbound system · Apollo vs Agent Jesse · Agent Jesse as a Clay alternative · Agent Jesse for B2B prospecting · how Agent Jesse works · Agent Jesse pricing.