Account Intent Signal Framework
Timing is everything in ABM. You can have the perfect message and the perfect account, but if you reach them at the wrong moment, they'll ignore you.
An intent signal framework helps you identify when a target account is actively buying or about to buy, and triggers campaigns at the exact moment they're most receptive.
This guide walks you through building and using one.
What Are Intent Signals?
Intent signals are behavioral or contextual clues that a company is evaluating solutions in your category.
Examples:
Behavioral signals (what they're doing): - Visiting your pricing page (5x in a week) - Downloading resources (ABM guide, ROI calculator) - Registering for your webinar or event - Watching product demos or explainer videos - Requesting a trial
Contextual signals (what's happening in their business): - New hire in a relevant role (VP of Marketing, Chief Revenue Officer) - Recent funding or acquisition - New product launch announced - Acquisition of a competitor - Public RFP published - Job postings in adjacent roles (expanding team) - Earnings call transcripts mentioning growth or challenges
Engagement signals (interaction with you): - Responses to outreach - Meeting requests - Email opens/clicks - LinkedIn profile views - Website visits from key accounts
Firmographic signals (changes to company data): - Headcount growth (especially in your buyer's department) - Revenue growth - New office locations (geographic expansion) - New product lines
Building Your Intent Signal Framework
Step 1: List All Signals You Can Monitor
Start with signals you can actually track:
Signals you can see internally (no tool needed): - CRM engagement (demo requests, meeting booked) - Email engagement (opens, clicks, downloads) - Website behavior (page visits, time on page, scroll depth) - Trial usage (if you have a free trial or freemium product) - Customer support interactions (new features questions suggest consideration)
Signals from external tools: - LinkedIn activity (new job posts, company updates) - News and press (acquired by, funding raised, executive hires) - Job postings (using LinkedIn or Greenhouse API) - Public RFPs (if your industry uses them) - Industry analyst reports (mentions of companies evaluating solutions)
Signals from intent data vendors (6sense, Demandbase, LinkedIn, Apollo): - Website behavior across the internet (your competitors' sites, industry forums, etc.) - Content consumption (webinars, whitepapers, guides) - Search behavior (intent signals based on keywords they're searching) - Social media activity
Step 2: Score and Prioritize Signals
Not all signals are equal. A new VP of Marketing hire is stronger than a general website visit.
Create a signal scorecard:
Signal Weight Action on Detection
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New VP of Marketing hire 10 Outreach within 48 hours
New VP of Sales hire 8 Outreach within 48 hours
Company funding round 7 Research and outreach within 1 week
Customer acquisition inquiry 8 Sales follow-up within 24 hours
Pricing page visit (5+ times/week) 6 Demo offer within 24 hours
ROI calculator download 5 Email with case study within 24 hours
Webinar registration 4 Confirmation email + calendar invite
Product page visit (3+ times/month) 4 Retargeting ad + nurture email
White paper download 3 Email nurture sequence
Blog post visit 2 (Low priority, part of nurture)
Assign weights based on conversion likelihood. A pricing page visitor (intent to evaluate cost) scores higher than a blog visitor.
Step 3: Define Signal Thresholds
When does a signal trigger action?
Examples:
Website behavior: - Trigger on 5+ pricing page visits in a week - Trigger on download of gated content (any piece) - Trigger on 3+ product page visits in a week
Engagement: - Trigger on webinar registration - Trigger on meeting request - Trigger on demo request
Firmographic: - Trigger on new C-level hire in target role - Trigger on company funding raised
Time-based: - Trigger on 90 days since last interaction - Trigger on 14 days since CRM contact created
Once a signal threshold is hit, a workflow triggers. More on that next.
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When a signal fires, what happens?
Playbook 1: Pricing page visitor (3+ visits in a week)
Signal: Pricing page visit (3+ times/week)
Likelihood they're evaluating: HIGH
Immediate action (within 24 hours):
- Marketing: Send email with "Pricing Details & ROI Calculator"
- Marketing: Show pricing page variant with CTA: "Schedule a 20-min pricing consultation"
- Sales: Alert (via Slack) to high-intent visitor
If opens email AND visits page again:
- Sales: Send personalized email "Noticed you're exploring pricing..."
- Marketing: Increase ad frequency
If schedules call:
- Sales: Prepare 20-min demo focused on ROI
- Marketing: Disable generic ads
Playbook 2: New VP Marketing hire at target account
Signal: New VP of Marketing hired at Target Account X
Likelihood they're evaluating: HIGH (new person, new mandate, new budget)
Immediate action (within 24 hours):
- Sales: Research the new hire (LinkedIn, Twitter, industry)
- Sales: Find mutual connection or industry peer
- Sales: Send personalized email with insight (not pitch): "Saw you just joined as VP of Marketing at Target Account X. Most VPs evaluate marketing stack in first 90 days. Worth a conversation on best practices?"
- Marketing: Identify the new person on our site and show targeted content
If responds:
- Sales: Schedule call within 48 hours
- Marketing: Send 3-email sequence focused on "First 90 days as VP of Marketing"
If agrees to meeting:
- Marketing: Briefing document on account + buying committee
- Sales: Prepare 30-min discovery (not demo)
Playbook 3: Content download (gated asset)
Signal: Download gated content (guide, whitepaper, etc.)
Likelihood they're evaluating: MEDIUM
Immediate action (within 24 hours):
- Marketing: Send download confirmation + related resource
- Marketing: Add to email nurture sequence
- CRM: Tag account with "Engaged - [content name]"
If opens confirmation email AND clicks:
- Marketing: Increase frequency (next email in 3 days instead of 7)
- Sales: Optional follow-up in 2 weeks (if still in lead status)
If downloads second piece within week:
- Sales: Proactive outreach (warm up)
- Marketing: Increase ad frequency
The pattern: Signals trigger immediate action. Subsequent behaviors trigger escalation.
Step 5: Automate Signal Detection and Response
Manually tracking all signals doesn't scale. Automate.
Using your CRM (HubSpot, Salesforce):
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Create automations that detect signals: - "If contact from target account downloads pricing doc, create task for sales rep" - "If account has 5+ website visits this month, move to 'Hot' account status"
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Trigger email workflows: - "If person downloads guide, send follow-up email in 24 hours" - "If webinar registration, send confirmation + prep materials"
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Create smart lists: - List of accounts with 3+ engaged contacts - List of accounts with website visits in last 7 days - List of accounts ready for sales follow-up
Using an intent data vendor (6sense, Demandbase, LinkedIn):
These platforms detect signals you don't have internal visibility to (competitive website visits, earnings calls mentioning challenges, industry content consumption).
They integrate with your CRM and can: - Score accounts in real-time - Trigger outreach workflows - Alert sales when an account heats up
Cost: $2,000-$10,000+ per month depending on scale. Worth it if you're running serious ABM.
Using a CDP or marketing automation tool (Marketo, Pardot):
Connect your website, email, and CRM data. Create segments based on behavioral signals.
Example automation:
IF (website visits > 5) AND (email opens > 3) AND (target account list member)
THEN send high-intent email AND create sales alert AND increase ad frequency
The Intent Trigger Calendar
Create a weekly habit: review signals, identify hot accounts, assign follow-up.
Every Monday: - Check which target accounts had engagement signals in the past week - Review account heat map (high intent vs. low intent) - Assign sales follow-up to hot accounts - Adjust marketing spend on hot accounts
Every quarter: - Review which signals converted best (which signals predicted closed deals?) - Adjust signal weights based on data - Update playbooks based on wins/losses
Common Mistakes
Mistake 1: Over-rotating on a single signal. You see one pricing page visit and think they're about to buy. They clicked by accident. Look for confirmation signals (multiple visits, email engagement, contact research).
Mistake 2: Acting too slow. A signal has a shelf life. A prospect visits your pricing page and you wait a week to reach out. They've already moved on. Act within 24-48 hours.
Mistake 3: Wrong message on signal. A prospect downloaded your ABM guide. You immediately pitch a demo. Wrong. Send them more ABM content. When they're ready, they'll ask for a demo.
Mistake 4: Ignoring negative signals. An account that was engaged stops visiting your site and stops opening emails. That's a signal they've either bought a competitor or have deprioritized. Pause spend. Come back in 90 days.
Mistake 5: No baseline. You see 5 visits and think that's a lot. But what's normal for your traffic? Track baseline visits per account. A spike above baseline is the signal.
Wrapping Up
An intent signal framework turns guessing into precision. Instead of blasting all accounts with equal energy, you identify hot accounts and concentrate effort there.
The best ABM teams: - Know what signals matter for their business - Monitor those signals constantly - Act within 24-48 hours when a signal fires - Iterate and improve based on which signals actually convert
Build your signal framework. Automate the detection. Act fast.
That's how you catch accounts at the exact moment they're ready to buy.





