intent-signals

name	intent-signals
description	Detect, categorize, and score buying intent signals from multiple data sources. Transform raw company activity into actionable outreach triggers.

Intent Signals

When to Use

• Building signal-based outbound campaigns (vs. spray-and-pray)
• Setting up monitoring systems for real-time prospect alerts
• Prioritizing which accounts to contact first from a large list
• Training SDRs or AI systems on what qualifies as a meaningful buying signal

Framework

What Intent Signals Are

An intent signal is any observable action or change that suggests a company or person may be ready to buy. It's the difference between "this company matches our ICP" (fit) and "this company matches our ICP AND is actively looking for a solution" (fit + intent).

Fit alone: "They're a 200-person SaaS company in our target industry." Fit + Intent: "They're a 200-person SaaS company that just posted 3 SDR job openings, raised a Series B last month, and their VP Sales is engaging with content about outbound scaling."

Intent signals don't guarantee a sale. They guarantee relevance — which is the single most important factor in cold outreach conversion.

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The Intent Signal Taxonomy

All intent signals fall into one of four categories, each with different reliability and actionability:

Category 1: First-Party Signals (Highest Reliability)

Actions the prospect takes that directly involve your brand.

Signal	Reliability	Urgency	Example
Visited your website (specific pages)	Very High	High	Viewed pricing page twice in one week
Downloaded your content	Very High	Medium-High	Downloaded "Outbound Playbook" guide
Attended your webinar	Very High	Medium	Registered and attended live
Replied to previous outreach positively	Very High	Very High	"Not now, but reach back out in Q2"
Free trial or demo request	Very High	Critical	—
Opened previous emails (multiple times)	Medium	Medium	Opened 3 emails but didn't reply

Challenge: You need website tracking, marketing automation, and CRM data to capture these. Many companies don't have this infrastructure.

Category 2: Third-Party Intent Signals (High Reliability)

Actions the prospect takes on other platforms that suggest buying intent.

Signal	Reliability	Urgency	Detection Method
Researching your category on G2/Capterra	High	Very High	G2 Buyer Intent, Capterra alerts
Searching for competitor alternatives	High	Very High	Intent data providers (Bombora, 6sense)
Consuming content about your problem space	Medium-High	Medium	Topic-based intent providers
Engaging with competitor content	Medium	Medium	Social monitoring
Posting questions in relevant communities	Medium	Medium-High	Reddit, Slack communities, forums

Challenge: Requires paid intent data subscriptions. Quality varies wildly by provider.

Category 3: Public Signals (Medium Reliability, Free)

Observable events anyone can detect with the right monitoring.

Signal	Reliability	Urgency	Source
Hiring signals	High	High	LinkedIn Jobs, Indeed, careers page
Funding announcements	High	Medium-High	Crunchbase, TechCrunch, press releases
Leadership changes	Medium-High	Medium	LinkedIn, press releases
Product launches	Medium	Medium	Company blog, PR, Product Hunt
Tech stack changes	Medium	Medium-High	BuiltWith, Wappalyzer, job descriptions
Earnings reports	Medium	Low-Medium	SEC filings, press releases
Awards/recognition	Low-Medium	Low	Industry publications
Conference speaking	Low-Medium	Low	Event websites
Office expansion	Medium	Medium	News, job listings in new locations
M&A activity	High	Medium	News, SEC filings

Advantage: Free and widely available. These should be the backbone of any signal-based outbound strategy.

Category 4: Social Signals (Variable Reliability)

Content the prospect publishes or engages with on social platforms.

Signal	Reliability	Urgency	Source
Posted about a pain you solve	High	High	LinkedIn, Twitter
Shared a competitor's content	Medium	Medium	LinkedIn, Twitter
Asked for vendor recommendations	Very High	Very High	LinkedIn, communities
Commented on industry trends related to your space	Medium	Low-Medium	LinkedIn
Changed their LinkedIn headline (new role)	High	High	LinkedIn notifications
Published a thought leadership piece on your topic	Medium	Medium	LinkedIn, company blog

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Signal Scoring Model

Not all signals are equal. Score each signal to prioritize outreach:

Signal Strength Matrix

Factor	High Score	Medium Score	Low Score
Recency	Last 7 days	Last 30 days	30-90 days
Directness	Explicit buying action (demo request, vendor search)	Implicit buying action (hiring, funding)	Tangential (content consumption)
Frequency	Multiple signals in same timeframe	Single signal	Historical signal
Specificity	Specific to your exact category	Related to your general space	Broadly related
Source reliability	First-party or verified third-party	Public, verifiable	Inferred or aggregated

Scoring Formula

Signal Score = (Recency × 3) + (Directness × 3) + (Frequency × 2) + (Specificity × 1) + (Source × 1)

Each factor rated 1-5:

Score	Priority	Action
40-50	Critical	Contact within 24 hours
30-39	High	Contact within 3 days
20-29	Medium	Include in next campaign batch
10-19	Low	Add to monitoring list
Below 10	Noise	Ignore

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Signal Combinations (Stacking)

Single signals are useful. Signal combinations are powerful. When multiple signals converge, the probability of buying intent increases dramatically:

High-Confidence Combinations

Combination	Confidence	Why
Funding + Hiring for target role	Very High	Money + action = active buying cycle
Leadership change + Tech evaluation (G2)	Very High	New leader re-evaluating the stack
Hiring SDRs + Content about scaling outbound	High	Building the function + researching solutions
Competitor churn + Your website visit	Very High	Actively looking for alternatives
Conference in your space + LinkedIn post about the topic	Medium-High	Problem is top of mind

Signal Stacking Rules

1. Two signals from different categories = 2x the score. A hiring signal (public) + a G2 research signal (third-party) is much stronger than two hiring signals.

2. Recency trumps everything. A weak signal from yesterday beats a strong signal from 3 months ago.

3. Person-level signals > Company-level signals. The VP Sales posting about outbound challenges (person) is stronger than the company posting 3 SDR jobs (company) — because you know exactly WHO is feeling the pain.

4. Don't stack noise. Three weak signals don't equal one strong signal. "Posted on LinkedIn" + "website has a blog" + "company is in tech" = noise, not intent.

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Building a Signal Monitoring System

Manual Monitoring (0 cost, 30 min/day)

Activity	Frequency	Tool
Check LinkedIn for job postings at target accounts	Daily	LinkedIn Jobs search, saved searches
Monitor Crunchbase for funding in your verticals	Weekly	Crunchbase alerts (free tier)
Track LinkedIn posts from target personas	Daily	LinkedIn feed, saved searches
Check Google Alerts for target companies	Daily	Google Alerts (free)
Scan industry communities for vendor questions	Weekly	Reddit, Slack groups, forums

Automated Monitoring (Paid tools)

Tool Category	Examples	What It Monitors
Intent data	Bombora, 6sense, ZoomInfo Intent	Category-level research signals
Job monitoring	LinkedIn Recruiter, Otta, PredictLeads	Hiring signals
Funding alerts	Crunchbase Pro, PitchBook	Capital events
Tech detection	BuiltWith, Wappalyzer, HG Insights	Stack changes
Social monitoring	Mention, Brand24, PhantomBuster	Social signals
Website tracking	Clearbit Reveal, RB2B, Leadfeeder	Website visit signals

Signal Pipeline Architecture

Data Sources (APIs, scraping, alerts)
    ↓
Signal Detection Layer
    → Parse raw data for relevant signals
    → Categorize (hiring, funding, tech, social, first-party)
    ↓
Scoring Engine
    → Apply signal scoring formula
    → Stack multiple signals per account
    → Calculate composite score
    ↓
Prioritization Queue
    → Tier 1 (score 40+): Immediate outreach
    → Tier 2 (score 30-39): Next batch
    → Tier 3 (score 20-29): Add to campaign
    → Below 20: Monitor or discard
    ↓
Outreach Trigger
    → Route to appropriate campaign
    → Match signal to personalization angle
    → Enrich contact data if needed

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Signal-to-Message Mapping

Every signal should map to a specific outreach angle:

Signal	Opening Line Approach	Campaign Angle
Hiring SDRs	"Building the outbound team?"	Scaling outbound
Series B funding	"Post-Series B is when pipeline becomes a board metric"	Growth acceleration
New VP Sales	"First 90 days in a new VP Sales role..."	New leader priorities
Competitor evaluation	"Evaluating {{category}}? Here's what teams miss"	Competitive displacement
Tech stack change	"Migrating to {{tool}} — most teams also rethink..."	Stack optimization
LinkedIn post about pain	"Your post about {{topic}} resonated"	Thought leadership bridge
Conference attendance	"Ahead of {{event}}, thought you'd find this relevant"	Event-based relevance

Templates

Signal Tracking Sheet

| Company | Signal Type | Signal Detail | Date Detected | Source | Score | Action | Status |
|---------|------------|--------------|---------------|--------|-------|--------|--------|
| ___ | ___ | ___ | ___ | ___ | ___/50 | ___ | ___ |

Signal-Based Campaign Brief

Campaign: {{campaignName}}
Target Signal: {{primarySignal}}
Supporting Signals: {{secondarySignals}}

Signal Detection:
- Source: {{dataSource}}
- Refresh frequency: {{howOften}}
- Estimated volume: {{leadsPerWeek}}

Personalization Map:
- Opening line template: "___"
- Value prop connection: "___"
- CTA: "___"

Qualification Threshold:
- Minimum signal score: ___
- Required firmographic fit: ___
- Maximum signal age: ___ days

Tips

• The best time to email someone is within 48 hours of a signal firing. After 2 weeks, the signal is stale and your "I noticed..." line sounds like a lie.
• Don't chase every signal. Pick 2-3 signal types that correlate with your highest close rates and build systematic monitoring around just those. Depth beats breadth.
• Hiring signals are the single most reliable free signal for B2B outbound. If a company is hiring for the role your product serves, they are actively investing in that function.
• Person-level signals always beat company-level signals. "The VP Sales posted about needing better pipeline visibility" is 10x more actionable than "the company raised a round."
• Create a feedback loop: track which signal types lead to the most meetings. After 3 months, double down on the winners and drop the losers.
• Signal + fit > fit alone > signal alone. A perfectly matched ICP company with intent signals is your #1 priority. A perfectly matched ICP company with no signals is Tier 2. A non-ICP company with signals is usually noise — don't chase it.

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Progressive disclosure: load signal provider integrations and API configurations only when setting up monitoring for a specific campaign.