Intent data has become central to account-based marketing. Instead of targeting accounts based on static characteristics (company size, industry), intent-based ABM targets accounts showing active buying signals: searching for solutions, engaging with content, downloading resources, visiting vendor websites. This guide explores how to use intent signals to identify high-probability accounts and accelerate deals.
Intent data measures indicators that an account is actively evaluating solutions in your category. Intent signals include:
First-party intent: Actions people take on your own properties. Website visits, content downloads, demo requests, webinar attendance, email engagement. You can track this with Google Analytics, your marketing automation platform, and CRM.
Second-party intent: Actions on partner properties that you have direct relationships with. If you partner with analyst firms, industry publications, or educational platforms, you can access engagement data showing when your prospects consume content on those platforms.
Third-party intent: Actions on external properties that you purchase access to. Companies like 6sense, Bombora, and Demandbase track online behavior (website visits, search activity, content consumption) across the internet. They identify accounts showing buying signals: visiting competitor websites, searching for keywords related to your solution, downloading industry reports.
Behavioral intent: Changes in account behavior that signal buying activity. Hiring spree in marketing department suggests headcount growth (larger budgets, more need for marketing automation). Acquisition or merger signals need for integration and consolidation tools. Press releases about new initiatives signal need for enabling solutions.
Firmographic changes: Changes to account structure or status. New CEO = possible strategic shifts. Funding round = cash for technology investments. Geographic expansion = need for tools supporting new markets.
You can measure first-party intent without purchasing data. It requires tracking and integration of your own data.
Website engagement.
Track which accounts visit your website and what they consume:
Example: You notice Acme Corp has visited your website 12 times in the last 30 days, including 5 visits to your pricing page and 3 visits to "ABM vs Demand Gen" comparison content. High intent signal.
Content engagement.
Track downloads, webinar attendance, and email engagement:
Example: You notice 4 people from Acme Corp downloaded your "ABM Playbook," attended your webinar on account targeting, and opened 8 emails about your platform. Very high intent.
Trial and POC engagement.
If you offer trials or proofs of concept:
Example: Acme Corp started a trial 2 weeks ago. 3 users are active. They've tested 5 different features and are now requesting custom reporting. High intent + high fit signal.
If you have partnerships with platforms in your ecosystem, you can access data about prospect engagement.
Analyst briefings.
If you brief analysts (Gartner, Forrester), you can often access lists of companies attending briefings. Attendees show intent: they took time to learn about solutions in your category.
Trade associations and industry bodies.
If you participate in industry associations (SiriusDecisions, MIMA for marketing, etc.), you can access member engagement data.
Educational platforms.
If you partner with learning platforms (LinkedIn Learning, Coursera), you can see which professionals take courses related to your category.
Publication and content partner data.
If you sponsor content on industry publications, you can see engagement from that audience.
Example: You notice 8 people from Acme Corp took a LinkedIn Learning course on "Account-Based Marketing Fundamentals." They're likely evaluating ABM solutions.
Third-party intent data providers aggregate signals from across the internet. They track:
Website visitation signals. Which companies visit competitor websites, visit industry publication websites, or visit your website. Aggregated by company and anonymized by individual.
Search signals. Which companies and industries are searching for keywords related to your solution. Aggregated at company level (we can't identify individuals, but we know Company X had N searches for "ABM platform").
Content engagement signals. Which accounts are downloading resources, engaging with content, or visiting websites related to your solution category.
Technology adoption signals. Which accounts are adopting new technologies, hiring for new departments, or showing signs of digital transformation.
Behavioral signals. Job postings (indicating hiring), funding announcements, merger/acquisition news, executive changes, all correlate with buying activity.
Leading providers:
Pricing varies ($50K-$500K+/year) based on company size and data coverage. Start with smaller footprint (one region or industry) to pilot.
Real-time account scoring.
Use intent data to score and prioritize accounts:
Example scoring:
| Account | Fit Score | Intent Score | Total | Recommendation |
|---|---|---|---|---|
| Acme Corp | 9 | 8 | 17 | Tier 1: Full ABM |
| Globex Inc | 8 | 5 | 13 | Tier 2: Programmatic ABM |
| TechStartup | 7 | 2 | 9 | Tier 3: Inbound only |
Triggering account campaigns.
Use intent signals to trigger ABM campaigns:
Example: Your intent data provider alerts you that Acme Corp just hired a new VP Operations and visited your competitor's website. Trigger campaign: "We help VP Operations at [Company] succeed with account-based marketing" with comparison content and new VP-specific messaging.
Account-targeted outreach.
Use intent insights in your outreach:
Instead of: "We have a great ABM platform"
Use: "We noticed you're exploring account-based marketing (visited our ABM playbook, attended ABM webinar, hired new VP Marketing focused on strategic accounts). We just helped [Comparable Customer] reduce sales cycle by 40% through targeted account engagement. Let's discuss how we can do the same for Acme."
This specificity, driven by intent data, dramatically improves response rates.
Territory assignment and opportunity routing.
Use intent data to route leads to the right people:
This ensures you're not wasting senior rep time on low-probability accounts.
Pitfall 1: Over-weighting intent.
Just because an account is searching for "ABM platform" doesn't mean they're buying from you. They might be buying from a competitor, or researching for future needs. Intent identifies likely prospects, not guaranteed deals. Combine intent with fit (is this even a target account?) and engagement (will they talk to you?).
Pitfall 2: Staleness of intent data.
Third-party intent data has inherent lag. By the time an aggregated signal reaches you, weeks have passed. It's useful for identifying broad intent (markets are hot), but for real-time deal motion, first-party intent (website visits, email engagement) is more current.
Pitfall 3: False positives.
Intent signals can be noisy. An employee browsing your competitor website doesn't mean the company is buying. Search signals might be incidental. Be conservative in interpretation. Use intent as "possible interest," not "confirmed opportunity."
Pitfall 4: Missing accounts without intent signals.
Some accounts don't Google "ABM platform." They might learn about solutions through sales outreach, industry events, or analyst briefings. Your intent-only strategy might miss accounts that aren't active researchers.
Pitfall 5: Cost inefficiency.
Intent data is expensive. If you're paying $200K/year but only acting on high-intent accounts (which is maybe 10% of your TAM), you might get better ROI by using free or cheap alternatives (LinkedIn, website analytics) to identify likely prospects.
The most effective ABM programs combine intent with other signals:
Fit + Intent + Engagement = Highest Priority
These accounts are sales-ready. Route to senior reps.
High Fit + Some Intent + No Engagement = Medium Priority
High Fit + No Intent = Lower Priority
Q: Which intent data provider should you use? Depends on your needs. 6sense for AI-driven scoring and prediction. Bombora for research signals. Demandbase for account fit + intent combined. Start with a trial or pilot before committing.
Q: How soon should you act on intent signals? Immediately for spike signals (sudden activity increase). Within 1-2 days ideally. Intent decay: within a week, intent signals lose potency as accounts move through their buying cycle.
Q: Can you use free intent data? Partially. Google Analytics shows website visitors (if you've set up account-based tracking). LinkedIn shows hiring signals. Your CRM shows first-party engagement. Free approaches are labor-intensive but work for 50-100 accounts.
Q: What's the ROI of intent data? When properly deployed: 20-30% improvement in account prioritization, 15-25% shorter sales cycles for intent-targeted accounts, 2-3x higher response rates for intent-informed outreach. Payback is typically 6-12 months.
Q: Should you disqualify accounts with low intent? No. Some companies don't research before buying (they rely on sales education). Some accounts are in early research phase (low activity) but become high-priority later. Keep low-intent accounts in Tier 3 for nurturing; re-engage quarterly.
Q: How do you validate intent signal accuracy? Ask sales. When you reach out to a high-intent account, do they confirm they're evaluating solutions? Over time, you'll see patterns: certain intent signals correlate with faster deals and higher win rates.
Intent data isn't free, so ROI matters.
Cost: - First-party (your own data): $0 + time to implement tracking - Second-party (analyst briefings, publications): $5K-$50K/year (often included in partnerships) - Third-party (6sense, Bombora, Demandbase): $50K-$500K+/year depending on: - Account coverage (how many accounts they track) - Industry focus (broad market vs. vertical) - Data depth (intent only vs. intent + intelligence)
ROI calculation: - Average deal size: $300K - Win rate with intent targeting: 40% vs. 25% without - Deal improvement from intent: 15% × $300K = $45K incremental value per deal - Need to close 2-3 additional deals per year to justify $100K intent data cost - Typical ABM programs see 2-5x additional deals from intent-based targeting
Bottom line: If your ACV is above $200K and you're closing 10+ deals annually, intent data has positive ROI.
Intent data identifies accounts actively buying or researching solutions in your category. Combined with account fit and engagement signals, intent dramatically improves targeting accuracy and sales velocity. Start with first-party intent (your own website, email, content analytics). Layer in affordable second-party signals (LinkedIn, trade association data). Add third-party intent data as you mature and ACV supports it. Use intent to prioritize accounts and trigger campaigns, but don't let it be your only signal. The best ABM programs use intent as one input among many (fit, engagement, stakeholder quality) to identify and prioritize the highest-probability deals. As you scale ABM, intent data becomes increasingly important for keeping your target account list fresh and relevant.