What is buyer intent data?

Buyer intent data is information that reveals which companies and individuals are actively researching solutions in your category. It comes from behavioral signals like website visits, content downloads, search activity, and social engagement. The goal is identifying accounts that are 'in-market' so sales and marketing can prioritize them over cold accounts.

What's the difference between 1st-party, 2nd-party, and 3rd-party intent data?

1st-party intent data comes from your own website and digital properties. 2nd-party intent data comes from social engagement and partner platforms. 3rd-party intent data comes from external research signals like Bombora, G2, and TrustRadius showing accounts researching your category across the web.

How does Warmly combine multiple intent signal sources?

Warmly uses a context graph to unify 1st-party website signals, 2nd-party social engagement, and 3rd-party research intent into a single real-time view with person-level attribution and automatic scoring.

How is Warmly different from Bombora?

Warmly combines 1st-party website intelligence with Bombora's 3rd-party data, adds 2nd-party social signals, provides person-level identification, and includes AI agents for automatic engagement. Bombora provides only 3rd-party research intent in weekly batches.

Is first-party intent data better than third-party?

First-party intent data shows higher buying intent because it captures behavior on your own website. However, the best approach combines all three signal layers for complete visibility into buyer behavior.

How quickly can I act on intent signals with Warmly?

Warmly enables engagement in seconds through AI chat engagement and automated workflows, compared to days or weeks with traditional intent data providers.

What is intent signal convergence?

Signal convergence occurs when two or more signal layers are active simultaneously for the same account. Warmly's intent scoring system detects convergence automatically and escalates engagement accordingly.

Does Warmly replace my existing intent data provider?

Warmly can integrate with existing intent providers like Bombora or replace them entirely by providing 1st-party, 2nd-party, and 3rd-party signals in one platform with automatic engagement capabilities.

How does intent scoring work in Warmly?

Warmly uses AI agents to score intent signals in real-time based on behavior across all three signal layers, with automatic weighting and learning from engagement outcomes.

What ROI can I expect from signal-based intent data?

Teams using Warmly's multi-signal approach see 3x higher conversion rates on signal-qualified accounts compared to cold outreach. The biggest ROI driver is speed – acting on intent in seconds rather than days means you reach buyers while they're still actively researching, before competitors respond.

BUYER INTENT & SIGNALS

Intent Data You Can Act On in Minutes, Not Days

Most intent data is stale by the time it reaches your rep. Warmly combines real-time website signals, LinkedIn engagement, and third-party research intent into a single view – then triggers AI agents to engage buyers automatically. Stop reporting on intent. Start acting on it.

Buyer intent data reveals which companies and individuals are actively researching solutions in your category. Warmly aggregates three layers of intent signals – 1st-party (website visits, page views, chat interactions), 2nd-party (LinkedIn engagement, social activity), and 3rd-party (Bombora research topics, job postings, technographic changes) – and scores them in real-time. When signals converge, Warmly's AI agents engage automatically through chat, email, and rep routing. Warmly's Context Graph combines all three signal layers in real-time and triggers automatic action when signals converge. Intent data that sits in a dashboard doesn't generate pipeline. Intent data that triggers action does.

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Context-graph - Every Signal Source, Unified

What intent signals does Warmly capture?

Warmly captures and scores intent signals across three layers:

1st-party: Website signals • Pages viewed, time on site, return visits, pricing page hits, chat responses. The highest-intent data you have.

2st-party: Website signals • LinkedIn profile views, ad engagement, social interactions with your brand

3st-party: Website signals • Bombora surge topics, job postings, funding events, technographic changes, G2 comparisons

Real-time scoring • Signals weighted and scored as they happen, not batch-processed weekly

Buying committee context • Intent signals mapped to specific people and roles within target accounts

Automatic engagement • AI agents trigger outreach the moment intent signals converge

CRM enrichment • All signals flow into HubSpot/Salesforce automatically

Three signal layers. One real-time view. Automatic action. That's signal-based intelligence.

Best For:

Sales teams

Want to know which accounts are in-market right now

Marketing teams

Need to prioritize accounts for ABM campaigns based on real signals

RevOps teams

Want intent data flowing into CRM and triggering workflows automatically

Single-Source Intent Data Doesn't Tell the Full Story

31% of sales leaders say intent data is "the most overrated technology in their stack" – because most intent tools report data without acting on it.

Third-party intent data is batch-processed

Bombora, G2, and TrustRadius data arrives days or weeks after the research happened. By then, your competitor already called.

Website analytics show pageviews, not people

Google Analytics tells you "12 sessions viewed pricing." Not who those people are, what role they hold, or whether they're ICP.

Intent signals live in 5 different tools

Website data in GA. Bombora in a dashboard. LinkedIn in another. CRM in another. Nobody has the full picture. Nobody acts fast enough.

Reports without action are expensive dashboards

Most intent tools generate reports. Reports don't book meetings. Reps need signals that trigger immediate engagement.

Comparison

From Stale Reports to Real-Time Signal Intelligence

Before (Status Quo)

After (Warmly)

Weekly batch intent reports

Real-time signal scoring as events happen

Company-level signals only

Person-level signals tied to specific contacts

One source (Bombora OR website)

Three layers combined (1st + 2nd + 3rd party)

Intent data in a separate dashboard

Signals enriching CRM records automatically

Rep manually checks for signals

AI agents trigger engagement on signal convergence

"Dropbox is researching CRM"

"Sarah Chen at Dropbox viewed pricing 3x this week AND Bombora shows CRM research surge"

Days between signal and outreach

Minutes between signal and AI engagement

How Warmly Turns Intent Into Pipeline

Your Website Is Your Best Intent Signal

A prospect visiting your pricing page is further down the funnel than someone who downloaded a whitepaper from a Bombora content syndication network. Warmly captures first-party website signals at the person level – who visited, what they viewed, how long they stayed, whether they've returned. These signals are the highest-intent data you have. Warmly makes them actionable by identifying the visitor, scoring their intent, and triggering engagement immediately.

When Signals Converge, Buyers Are Ready

One signal is a hint. Multiple signals converging is a buying indicator. When Sarah Chen visits your pricing page (1st-party), her company surges on "account-based marketing" in Bombora (3rd-party), AND she engages with your LinkedIn ad (2nd-party) – that's signal convergence. Warmly's intent scoring engine processes this in real-time and triggers engagement. The more signals that align, the higher the priority, the faster the action.

Intent That Acts on Itself

Warmly doesn't just report intent signals – it acts on them. When intent scores cross a threshold, AI agents engage automatically: personalized chat appears for on-site visitors, email sequences trigger for off-site signals, reps get real-time alerts for their named accounts, and target accounts get added to LinkedIn/Meta retargeting audiences. The loop from signal to engagement to pipeline runs continuously, 24/7.

Three Signal Layers, One Real-Time View, Automatic Action

Context-graph - See how everything connects

How the three signal layers feed the Context Graph:

1st-Party Website Signals (Highest Intent)

Sarah Chen, VP Marketing at Dropbox, visits your pricing page. Spends 4 minutes. Returns twice this week. Downloads the ROI calculator. Each action is captured by the Warmly pixel and scored: pricing page = +25 points, return visit = +15, content download = +10. Running 1st-party intent score: 72/100.

These are your highest-intent signals. Someone on your pricing page is further down the funnel than someone who consumed a Bombora syndication whitepaper. That's why first-party signals get the highest weight.

3rd-Party Research Signals

Bombora reports: Dropbox is surging on "account-based marketing" and "visitor identification" topics – 85th percentile research intensity compared to baseline. Job posting detected: "VP of Demand Generation" role open. G2: Dropbox compared 3 conversational marketing vendors last week.

Each signal adds to the score: Bombora surge = +15, relevant job posting = +5, G2 research = +8. Running score: 72 + 28 = 100/100.

2nd-Party Social Signals

LinkedIn Ads reports: Sarah engaged with your ad (clicked through). The CRO at Dropbox viewed Warmly's LinkedIn company page. A champion-persona contact liked your latest post.

Social signals confirm what 1st and 3rd party data suggest: this account is actively evaluating. Score: confirmed at ceiling.

What Convergence Triggers:

Signal convergence = 2+ signal layers active simultaneously for the same account. When Warmly detects convergence, the response escalates:

Signal State

Action

1 layer active (website only)

Track + add to nurture sequence

2 layers active (website + Bombora)

Add to priority email sequence + ad audiences

3 layers active (all three)

Full engagement: AI chat primed, email sequence for buying committee, rep alerted via Slack, added to all ad audiences

The Feedback Loop (Why This Gets Smarter):

Every action outcome feeds back. CRO replied to the competitive-angle email? The system increases weight for "3rd-party surge + competitive displacement email" combinations. Sarah bounced from chat after the first message? The chat opening gets refined for VP Marketing personas. Ad audiences that don't generate return visits get pruned.

Workflows repeat the same thing every time. Warmly's agents learn from every outcome. After 100 accounts run through the system, your intent scoring is calibrated to YOUR buyers, not generic industry benchmarks.

Comparison