Intent data answers the question every B2B marketer wants answered: "What is this account actually researching right now?"

Without it, you're outreaching at random. With it, you reach someone in the exact moment they're most receptive.

Here's how to source it, implement it, and activate it.

What Intent Data Is (and Isn't)

Intent data is a collection of first-party (website visits), second-party (event attendance), and third-party (research consumption, search trends) signals that indicate active buying interest.

First-party intent (owned by you): - Visits to your website and which pages - Email opens and clicks - Webinar/event attendance - Document downloads - Form submissions

Second-party intent (data you get from partners): - Attendance at industry events - Participation in research reports - Sponsored content consumption - Survey responses

Third-party intent (purchased from data vendors): - Search keyword volume and trends (e.g., "ABM software", "marketing automation platform") - Technographic changes (installed new tools, stopped using old ones) - Dark web mentions (your company name in chat forums, Slack communities) - Industry publication and news consumption - Job postings (hiring for relevant roles) - Patent filings and regulatory announcements

Why Intent Data Matters for ABM

Intent data solves three ABM problems:

1. Timing problem - You don't know when to reach an account. Intent data shows buying window. Reach them now, not in 6 months.
2. Prioritization problem - You have 100 target accounts. Which 10 are actively buying? Intent data ranks them.
3. Validation problem - An account looks great but isn't researching your category. Intent data flags when to deprioritize or shift messaging.

Step 1: Choose Your Intent Data Vendor(s)

There's no single "best" intent data vendor. They serve different needs:

Broad-reach vendors (good starting point): - 6sense - Combines search trends, technographic changes, and web activity. Best for account prioritization and engagement timing. Cost: $10-50K/year depending on scale. - Demandbase - Similar breadth, strong on job-posting signals. Good ABM focus. - ZoomInfo - Broader database (includes leads + accounts). Good if you need both B2B and B2C intent.

Search-signal focused: - Littledata (formerly acquired by TrustRadius) - Keyword search volume trends. Tells you what topics are getting attention. - Google Search Console + LinkedIn Ads can serve as free proxies if budget is tight.

Technographic focused: - G2 - Crowd-sourced reviews and research activity on G2. When a prospect browses your category on G2, it's a signal. - Clearbit - Company data including technology stack changes.

For bootstrapped teams (free or low-cost starting point): - LinkedIn Sales Navigator (free with LinkedIn) - See who's viewing your content, search keywords within your network - Google Alerts (free) - Set alerts for company names, keywords; track news mentions - HubSpot free CRM (built-in) - Track website visits and email opens - Perplexity or ChatGPT (free) - Manual research: "Is [company] hiring for marketing roles?" "Have they posted about ABM?"

Start with one vendor. Don't stack five at once (data noise, high cost). 6sense or Demandbase are good entry points if you have budget. Google Alerts + LinkedIn Navigator if bootstrapped.

Step 2: Define Intent Signal Triggers

Not all intent signals are equal. A visit to your pricing page is stronger than a visit to your blog.

Create a signal-strength hierarchy for your use case:

High-intent signals (100 points): - Searched for your category keywords (ABM platform, marketing automation, account-based marketing) + your company name within 30 days - Visited your demo or product page - Downloaded your pricing sheet or ROI calculator - Attended your webinar - Engaged with your ads multiple times in one week

Medium-intent signals (50 points): - Searched for your category keywords (without your name) - Visited your blog or resource center - Viewed your social media content 2+ times in one week - Downloaded a whitepaper or guide - Attended an event where you're sponsoring or speaking

Low-intent signals (10 points): - Visited your website (any page) once - Viewed one piece of your content - Opened one email - Added your company name as an alert (watching you)

Map these in a spreadsheet and assign points. This becomes your intent-signal weighting system.

Step 3: Integrate Intent Data Into Your CRM

Most CRM platforms support intent data via APIs or integrations.

Setup: 1. Connect your intent data vendor (6sense, Demandbase) to your CRM (HubSpot, Salesforce) 2. Auto-populate intent signals as they occur (e.g., when an account shows "searching for ABM platform," add a field "Intent Signal: ABM Platform Keyword Search") 3. Build automation: when an account hits a high-intent signal, update the account score and trigger a notification to the assigned AE

Configuration in HubSpot example: - Create a custom field: "Intent Signals (Last 30 days)" - Create automation: If [account] shows [high-intent signal], then update "Intent Signals" field + increase "Account Score" by 30 + send Slack notification to assigned AE

Most intent data vendors provide integrations or API documentation. If your vendor doesn't integrate natively, use Zapier as a bridge.

Step 4: Build Intent-Triggered Plays

Intent data is only valuable if you act on it immediately.

Build automated plays triggered by intent signals:

Play: "Active Researcher" - Trigger: Account searched for "ABM platform" OR visited demo page - Timing: Within 48 hours of signal detection - Sequence: AE call + relevant demo + ROI calculator - Cadence: 3x in 7 days (aggressive) - Success metric: Meetings booked

Play: "Category Research" - Trigger: Account searched for your category (ABM, marketing automation) but not your name - Timing: Within 5 days - Sequence: Educational email (not a sales pitch) + positioning comparison doc - Cadence: 1x email, 1x follow-up call - Success metric: Calls completed

Play: "Competitive Displacement" - Trigger: Account is using [competitor1] AND recently searched for "ABM platform" - Timing: Within 48 hours - Sequence: Competitive comparison + AE call + demo - Cadence: 3x in 7 days - Success metric: Meetings booked, pipeline advanced

These plays exist in your marketing automation platform, triggered by intent signals from your data vendor.

Step 5: Measure Intent Signal Strength

After 3 months, measure: Which intent signals actually predict deals?

Create a conversion scorecard:

Use this data to: 1. Increase point value for high-converting signals (visited demo page is worth more than blog visit) 2. Decrease point value or drop low-converting signals (category search without brand is noise) 3. Update your account score weighting to reflect reality

Common Pitfalls

1. Over-weighting low-signal noise - Just because an account searched for a keyword doesn't mean they're a fit. Combine intent with fit score.
2. Not acting within 48 hours - Intent signals decay fast. If you wait a week, the moment has passed.
3. Treating all signals the same - A pricing page visit is not the same as a competitor research signal. Differentiate.
4. Forgetting to validate - Ask your sales team quarterly: "Is the intent data we're seeing actually predicting deals?" If not, re-evaluate.

Start Small, Measure Everything

If you're bootstrapped, start with Google Alerts and LinkedIn Navigator for 3 months. Track which signals lead to deals. Then invest in a vendor.

If you have budget, pick one vendor (6sense or Demandbase), implement it, measure for 90 days, then expand.

Intent data only pays for itself if you act on it immediately and measure rigorously.

Activate intent signals in your ABM

Abmatic integrates multiple intent data sources and triggers plays automatically when high-intent signals appear. See how intent data accelerates your pipeline.