Intent data is the ABM marketer's secret weapon. It tells you which accounts are actively searching for solutions like yours. When you know they're buying, you can reach out at the moment they're most receptive.
But intent data is also confusing. What counts as "intent"? Which vendors are reliable? How do you actually use it?
This guide walks you through it.
What Is Intent Data?
Intent data is a signal that an account is actively researching or evaluating a solution.
Examples of intent signals: - Visiting your website (first-party intent) - Downloading a guide or report (first-party intent) - Opening emails about relevant topics (first-party intent) - Searching for keywords related to your solution (third-party keyword intent) - Visiting competitor websites (third-party intent) - Reading articles about your category (third-party intent) - Posting about related challenges on LinkedIn (third-party intent) - Hiring people with relevant skills (third-party hiring intent)
First-Party vs. Third-Party Intent
First-Party Intent
Signals from your own properties.
Sources: - Website analytics (Google Analytics, mixpanel, or custom tracking) - Email engagement (opens, clicks, downloads) - Content downloads - Event attendance - Referrals
Accuracy: High (you know they actually did it). Lag: Minimal (you see the signal in real time or within hours). Cost: Free (you already have this data).
Use case: When an account on your TAL visits your website or downloads your guide, they're showing intent. Reach out immediately.
Third-Party Intent
Signals from outside your properties, aggregated by vendors.
Sources: - Keyword search intent (Demandbase, 6sense, ZoomInfo): Which accounts are searching for relevant keywords? - Technographic data (BuiltWith, Bombora): Which accounts use certain technologies? - Content consumption (Bombora, Demandbase): Which accounts are reading articles about your category? - Buying behavior patterns (6sense, ZoomInfo): Which accounts show buying committee activity? - Hiring signals (LinkedIn, Apollo): Which accounts are hiring for relevant roles?
Accuracy: Medium (you know they searched or visited, but not always why). Lag: Days to weeks (depends on data aggregation). Cost: Paid ($5k, $50k+ per year, depending on vendor and depth).
Use case: When you have no first-party data about an account, third-party intent helps you identify when they're in buying mode.
---How to Source Intent Data
Build Your Own (First-Party)
Set up tracking for all your web properties.
Minimum implementation: - Google Analytics 4 with account/company-level tracking (use Clearbit or similar to identify companies from IP) - Email platform with open/click tracking - Landing page form tracking (capture company, role, interest)
Advanced implementation: - Custom event tracking (content deep dives, tool usage) - CRM integration (automatically tag companies when they engage) - Slack or Hubspot alert when a TAL account visits your site
Cost: Minimal (most platforms have free or cheap implementations). Effort: 10, 20 hours setup.
Buy Third-Party Intent Data
Select a vendor based on: - Coverage: Do they track the accounts and keywords you care about? - Accuracy: Do they have false positives? - Latency: How quickly do you get the data? - Integration: Does it integrate with your CRM and marketing tools?
Popular intent data vendors: - Demandbase: Account-based targeting, intent signals, advertising. - 6sense: Buying committee insights, predictive scoring. - ZoomInfo: Firmographic data with intent layering. - Bombora: Content consumption and category buying interest.
Cost: $15k, $100k+ per year depending on depth and volume.
How to evaluate: 1. Ask for a free trial or pilot. 2. Load 100 accounts in your TAL. 3. Check overlap with your first-party data. (Does their "high intent" match your engaged accounts?) 4. Check false positives. (Are they flagging competitors or completely irrelevant accounts?) 5. Check latency. (How old is the data?)
Most mature teams use 2, 3 intent vendors (overlap validates signals).
How to Interpret Intent Signals
Intent signals aren't binary (high intent / no intent). They're probabilistic and should be weighted.
Strong Intent Signals
- First-party: Account visits your site 3+ times in a week. Downloads a guide or gated resource.
- Third-party: Account shows multiple keywords you sell to (revenue operations + pipeline management + quota management). Or shows buying committee activity (CFO + VP Revenue + Ops leader all searching).
Action: Reach out immediately. This account is likely in active evaluation.
Medium Intent Signals
- First-party: Account visits your site once. Doesn't download anything.
- Third-party: Account shows 1, 2 relevant keywords. Or visits a competitor site once.
Action: Add to campaign nurture. They're aware but not ready. Keep them educated.
Weak Intent Signals
- First-party: Email open but no click.
- Third-party: General category keyword (not specific to your solution). Or hiring signal that's adjacent to your use case.
Action: Broad audience. Nurture with content. Most won't convert.
No Intent
- No first-party or third-party signals.
Action: Light touch or deprioritize. They're not buying yet.
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See the demo →How to Use Intent in Your ABM Campaigns
Intent for TAL Prioritization
Use intent to prioritize within your TAL.
Example: - 200 accounts in your TAL - 30 show strong first-party or third-party intent - Prioritize outreach to those 30 first - Run lighter campaigns to the remaining 170
Outcome: You'll see higher engagement and faster pipeline from the high-intent subset.
Intent for Campaign Timing
Don't reach out to all accounts at once. Reach out when they show intent.
Process: 1. Account shows intent signal (visits site, searches relevant keyword, etc.) 2. Your system alerts sales (automated) or marketing team. 3. Sales reaches out within 24, 48 hours: "I noticed you were looking into [topic]. Thought you might find this useful..." 4. Message references the intent signal (not creepy, just contextual).
Outcome: Higher response rates (account is already in research mode).
Intent for Messaging
Use intent to customize your initial outreach.
Without intent: "Hi {{firstName}}, I wanted to reach out about ABM..."
With intent: "Hi {{firstName}}, I noticed {{companyName}} was researching [specific topic]. We work with similar companies on this. Here's how..."
The second message is 3, 5x more likely to get a response.
Intent for Multi-Stakeholder Targeting
Use intent to identify who at the account is showing interest.
Process: 1. Your website tracking (via Clearbit) shows John from Acme visited your site. 2. Third-party intent shows that Jane (CFO) at Acme is searching for revenue operations keywords. 3. You reach out to both John and Jane, with messaging tailored to each.
Outcome: You reach multiple stakeholders, each with contextual messaging.
---Intent Data Mistakes to Avoid
Mistake 1: Treating intent as gospel. Intent is a signal, not a guarantee. Accounts showing intent might still not buy (budget got cut, priority changed). Validate with conversation.
Mistake 2: Only acting on intent. High-intent accounts are valuable, but they're not your only opportunity. Continue broad campaigns to accounts not yet showing intent.
Mistake 3: Reaching out too aggressively. Account showed intent 2 weeks ago and you haven't followed up. Don't suddenly blast them with 5 emails. They might be done evaluating.
Mistake 4: Using intent without context. "I saw you searched for 'revenue operations'" is weak. "I saw you searched for 'revenue operations' and visited 3 resources on our site. Here's how that applies to [specific challenge]" is strong.
Mistake 5: Not combining intent sources. Using only third-party intent (without validating on first-party) leads to false positives. Combine sources for confidence.
Your Intent Data Roadmap
Phase 1: First-Party Intent (Weeks 1-2)
- [ ] Set up GA4 account-level tracking
- [ ] Implement email tracking in your platform
- [ ] Create a simple dashboard: "Which of our TAL accounts visited this week?"
- [ ] Brief sales: When an account from your TAL visits, reach out
Phase 2: Basic Third-Party Intent (Weeks 3-8)
- [ ] Evaluate 2, 3 intent vendors
- [ ] Run a pilot with one vendor (50 accounts)
- [ ] Compare their "high intent" to your first-party engaged accounts
- [ ] If accuracy is good, purchase annual subscription
Phase 3: Intent-Driven Campaigns (Weeks 9+)
- [ ] Integrate intent data into your CRM
- [ ] Set up automated alerts (Slack, email, CRM task) when TAL account shows intent
- [ ] Create templates for "intent-triggered" outreach
- [ ] Measure: Do high-intent outreaches have better response/conversion rates?
Phase 4: Advanced (Quarter 2+)
- [ ] Combine first and third-party intent
- [ ] Identify intent by stakeholder (which CFOs are searching? which CMOs?)
- [ ] Build predictive models (which intent signals predict pipeline?)
- [ ] Use intent to inform content strategy (what topics are accounts searching for?)
Intent Multiplies ABM Effectiveness
Intent data helps you focus on accounts that are actually buying, reach them at the right time, and message contextually.
It's not magic. Intent is just a signal. But when combined with research, personalization, and sales follow-up, it becomes a powerful ABM lever.
Ready to add intent-driven targeting to your ABM? Book a demo with Abmatic AI to see how our platform integrates intent data with account orchestration.
Next steps: - Set up first-party intent tracking on your website and email. - Evaluate 1, 2 third-party intent vendors. - Create an intent response playbook (how will sales react when an account shows intent?).
