Published:
7 April 2025
Last updated:
15 April 2026

10 Best Ways to Use Intent Data in Your ABM Campaigns

6 minute read

By: Joe Barron

What is intent data and why does it matter for ABM?

Intent data captures the digital footprints left by prospects while researching products, challenges, and solutions online.
These buyer signals reveal who’s in-market now, what they’re interested in, and where they are in their decision-making process.
When layered into your ABM strategy, intent data creates the perfect storm of targeting precision:

• Target the right accounts - Focus solely on businesses that match your ICP ( ideal customer profile).
• At the right time - Engage when they’re actively researching relevant solutions like yours.
• With the right message - Address their specific interests and challenges.
• Through the right channels - Reach decision-makers on platforms where they’re most receptive.

What are the types of intent data?

First-party intent data

This is data you collect directly from your digital properties.
Examples:

• Website visit patterns (pages viewed, time spent).
• Email engagement (opens, clicks).
• Content downloads (whitepapers, ebooks).
• Form submissions.
• Product usage metrics.
• Customer support interactions.

Second-party intent data

This is first-party data acquired directly from a trusted partner, publisher, or vendor.
Examples:

• Review site engagement data.
• Partner website behaviour.
• Industry publication reading habits.
• Event attendance information.
• Webinar participation.

Third-party intent data

This is collected by external data aggregators across many websites and digital properties. It’s then sold as a service.
Examples:

• Technographic data (technology stack usage).
• Search queries across the web.
• Content consumption across multiple publications.
• Social media post engagement.
• Forum and community participation.

Behavioral intent data

This focuses on online activities that signal buying intent.
Examples:

• Pricing page visits.
• Competitor comparison research.
• Multiple product demo views.
• Sales-related content consumption (ROI calculators, buying guides).
• Multiple visits in a short timeframe.

Contextual intent data

This examines the context surrounding engagement to determine intent level.
Examples:

• Content topic relevance.
• Content consumption patterns.
• Device and location patterns.
• Time-of-day engagement patterns.
• Seasonal or event-triggered research.

Declared/zero-party intent data

This is information explicitly shared by the prospect about their intentions.
Examples:

• Survey responses.
• Preference center selections.
• Purchase timeline indications.
• Budget information.
• Decision-maker identification.

What are the best ways to use intent data in ABM?

1. Prioritize accounts based on real-time purchase intent

Real-time purchase intent signals include the following:

• Content consumption about your product category.
• Competitor comparisons.
• Problem-specific online searches.
  Create a weekly “hot accounts” list.

2. Personalise your outreach

Fuel your entire outreach strategy with intent-driven messaging.
Direct mail campaigns show impressive results. Cognism customers combining intent data with direct emails consistently achieve up to 60% open rates.
Intent data ensures your message arrives at the perfect moment with the exact context that resonates with decision-makers.

3. Align sales and marketing around intent-driven insights

Create a unified workflow where both teams can access the same intent signals and coordinate their activities based on account engagement levels.

4. Time your interventions precisely

Set up alerts that show you when there are sudden spikes in digital activity from multiple stakeholders at the same account.

5. Rescue stalled deals

When engagement drops suddenly, you’re likely losing ground. Set up triggers for renewed intent from dormant accounts.

6. Intercept competitor evaluations

When signals show a high-risk customer exploring competitor solutions, your team can proactively address concerns.

7. Prioritize high-intent accounts for ad campaigns

Use intent signals to create highly targeted advertising audiences on platforms like LinkedIn.

8. Track champions through job changes

Monitor when your internal advocates move to new companies.

9. Identify cross-sell and upsell opportunities

Cross-sell and up-sell intent signals point out existing customers who are researching complementary solutions.

10. Measure and refine ABM campaign performance

Track intent signal patterns throughout your campaign lifecycle.

How do you get started with intent data in ABM?

Define your ideal customer profile (ICP)

Use your CRM data to identify your best customers’ common attributes.

Select the right intent topics

Choose keywords and phrases that indicate serious buying interest.

Ensure data quality and coverage

Verify source breadth and relevance when considering providers.

Integrate intent data with your existing stack

Connect the data to your CRM, sales engagement, and marketing automation tools.

Create processes for responding to intent signals

Develop playbooks for different intent scenarios.