Intent data tells you when accounts are actively researching solutions like yours. Without it, you're outreaching to cold accounts. With it, you're reaching accounts in buying mode.
This guide covers what intent data actually measures, how to evaluate providers, and how to choose the right one for your ABM program.
What it captures: - Keyword searches on Google, Bing, DuckDuckGo - What keywords? Searches like "ABM software comparison", "how to measure ABM ROI", "ABM platform reviews"
Timing: Real-time or near-real-time (within hours)
Example: An account searches "Salesforce alternative" = buying signal they're evaluating their Salesforce replacement.
Limitations: - Can't distinguish between individual and company-wide intent - Keyword choice matters (vague keywords generate false positives) - Search volume varies by region and seasonality
What it captures: - Which accounts (by company IP) visit your website - Which pages they visit (product, pricing, case studies, competitors) - How long they stay, which links they click
Timing: Real-time
Example: Account X visits your pricing page 3 times in a week = higher purchase intent than account Y who visited once.
Limitations: - Only tracks accounts with recognizable IP (easy for large companies, hard for small ones) - Doesn't distinguish between departments (CEO vs. IT might both visit) - Includes tire-kickers and researchers with no budget
What it captures: - Accounts viewing your website in third-party marketplaces (G2, Capterra, Gartner, industry blogs) - Accounts searching for comparison content ("your-tool vs. competitor") - Accounts downloading research reports or analyst content - Accounts engaging with industry keywords on forums
Timing: Weekly or monthly (slower than search or web visitor)
Example: Account researches "ABM tools Gartner" or "best marketing automation" = in evaluation mode.
Limitations: - Usually aggregated weekly, not real-time - Coverage depends on provider's partnerships - More fuzzy than search or direct website visit
What it captures: - Accounts that recently installed or upgraded tools - Accounts that changed their technology stack - Job postings for marketing, sales, or revenue ops roles (indicates hiring for the function)
Timing: Usually monthly
Example: Account hired a new VP of Marketing = might be budget to refresh marketing stack.
Limitations: - Lagging indicator (job posting might have happened 1-2 months ago) - Doesn't guarantee budget for your solution
| Criteria | Weight | Why It Matters |
|---|---|---|
| Coverage (your ICP) | 25% | If they don't cover the companies you want to reach, data is useless |
| Data Freshness | 20% | Stale data (month-old) means you're reaching accounts after competitors |
| Accuracy | 15% | False positives waste sales time; false negatives mean missed deals |
| Price / Budget | 15% | Must fit your budget constraints |
| Integration | 15% | Can it integrate with your CRM and marketing automation? |
| Usability | 10% | Can your team actually use it, or is it too complex? |
Ask each provider:
"How many companies in our target market does your database cover?" - B2B SaaS: Most cover 50,000+ companies globally - Mid-market (companies with 100-2,000 employees): Coverage should be 80%+ - Enterprise: Nearly 100% (all public companies covered)
"How many accounts in my target list can you identify intent for?" - Ask them to run a pilot on your target account list (20-50 accounts) - Coverage should be 60%+ for SMB/mid-market, 80%+ for enterprise
"What geographies are covered?" - US/UK: Excellent coverage - Europe: Good but varies by country - APAC: Lower coverage - Other regions: Spotty
Search intent: - Real-time or within 24 hours = best - Within a week = acceptable - Monthly or older = poor (by then competitor may have already closed them)
Web visitor intent: - Real-time = ideal - Daily = acceptable - Weekly = okay for nurture, not for immediate outreach
Third-party intent: - Weekly = standard - Monthly = slower but acceptable - Quarterly or older = useful for planning, not reactive outreach
Test with a sample: 1. Ask provider to show you 20-30 accounts they flagged with high intent 2. Send sales team to verify: "Do these accounts look like they're actively buying?" 3. Calculate accuracy: What % of flagged accounts actually showed buying signals?
Benchmark: - Good: 60-70% of flagged accounts show real buying signals - Excellent: 75%+ of flagged accounts are legit
Red flags: - Provider can't show samples - "We can't guarantee accuracy" (okay to say, but requires heavy filtering on your end) - Accuracy isn't measured at all
Typical pricing models:
| Model | Price | Best For |
|---|---|---|
| Per-user seat licensing | $50-200/month per user | Small teams, light usage |
| Per-account targeting | $200-1,000/month | Mid-market targeting 100-500 accounts |
| Tiered by data quality | $500-5,000/month | Enterprise, high-volume needs |
| Custom/enterprise | $20,000+/year | Large-scale ABM programs |
Don't overpay for coverage you won't use: - If you're targeting 50 accounts, don't pay for enterprise pricing - If you're targeting 500 accounts, basic pricing will be too limited
Standard integrations to ask for: 1. Salesforce: Can they send account intent to a custom field? 2. HubSpot: Can they sync data to company properties? 3. Email: Can you build email sequences triggered by intent (e.g., "If account shows high intent, email them")? 4. Slack: Can they send alerts when intent is detected?
Red flags: - No Salesforce or HubSpot integration - Integration requires manual CSV exports (inefficient) - No API for custom integration
Questions to ask: 1. "Can a non-technical marketer use this, or does it require engineering?" 2. "How long is the learning curve?" (answer should be hours to days, not weeks) 3. "Can I get alerts when intent is detected, or do I have to manually check?" 4. "Can I export data easily for sharing with sales?"
Red flag: - Product requires 2-week onboarding; steep learning curve
| Provider | Search | Web Visitor | 3rd Party | Tech | Price | Best For |
|---|---|---|---|---|---|---|
| 6sense | Yes | Yes | Yes | Yes | $500-5k/mo | Enterprise ABM |
| Demandbase | Yes | Yes | Yes | Yes | $500-3k/mo | Mid-market to Enterprise |
| ZoomInfo | Limited | No | Yes | Yes | $200-2k/mo | Account data + intent |
| Apollo | Limited | No | Limited | Yes | $100-500/mo | Startups and SMB |
| Clearbit | No | Limited | Limited | Yes | $200-1k/mo | Account enrichment + signals |
| Bombora | Yes | Yes | Limited | Limited | $500-2k/mo | Intent specialists |
| Microsoft Lead Score | Via LinkedIn | No | No | No | Included (Microsoft) | LinkedIn-native intent |
Best for Enterprise ABM: 6sense, Demandbase - Comprehensive data (search + web + 3rd party + tech) - Highest accuracy for large companies - Price: $500-5k/month - Ideal when targeting 100+ strategic accounts
Best for Mid-Market ABM: ZoomInfo, Demandbase, 6sense - Good coverage of SMB to mid-market - Account data + intent combined - Price: $200-2k/month - Ideal when targeting 50-200 accounts
Best for Startups/Resource-Constrained: Apollo, HubSpot + Clearbit - Lower cost - Acceptable coverage for smaller target lists - Price: $100-500/month - Ideal when targeting 20-50 accounts
Best for Intent Specialists: Bombora, 6sense - Best-in-class intent data accuracy - Real-time search intent - Price: $500-2k/month - Ideal when you need highest confidence in intent signals
Question: What intent signals matter most to you?
Question: How much can you spend and how many accounts are you targeting?
For your top 2-3 providers:
Before committing to annual contract:
Decision criteria: - Coverage: 50%+ of your target list had detectable intent - Accuracy: 60%+ of high-intent flags validated with sales - Cost: Less than $50-100 per opportunity created
1. Buying too much data you won't use If you're targeting 50 accounts, don't pay enterprise pricing for 500,000-company database.
2. Choosing based on brand name alone Best-known provider isn't always best for your use case and budget.
3. Expecting intent data to sell for you Intent data shows you WHO to reach. You still need strong messaging and outreach.
4. Ignoring integration complexity If intent data requires manual CSV exports weekly, you won't use it. Prioritize native integrations.
5. Treating all intent equally A search for "your-product vs. competitor" is higher intent than a search for "what is your-product category". Weigh intent signals differently.
1. Coverage varies dramatically by company size Large enterprise companies (Fortune 500) have 95%+ coverage. Small companies (<50 employees) might have <30% coverage. Match provider to your target company size.
2. Real-time intent beats historical intent Week-old intent data is worth far less than real-time. If speed matters, pay for real-time.
3. Combine multiple intent signals One signal (search) is weak. Search + web visitor + technographic = strong. Prefer providers offering multiple signals.
4. Account fit + intent = best targets Intent without fit = noisy. Fit without intent = cold. Target the intersection of your ICP (fit) and accounts showing intent.
5. Start with web visitor + search intent Those two signals are most accurate and actionable. Add third-party intent once you've validated the core two.