By Paramita Patra Published on : Jul 7, 2026
A software company launches a campaign targeting IT leaders in manufacturing. Engagement remains low because the campaign is reaching buyers not actively researching solutions. At the same time, another set of buyers are already consuming content, but they are not on the marketing team's target list.
Intent Data for Targeting allows marketers to move beyond broad segmentation and focus on prospects with a probability of conversion. It helps to gain a view of in-market buyers and engage prospects at the right time.
This article explains the importance of intent data for B2B targeting.
For years, B2B marketers assumed that if a buyer matched the ICP, operated in the right industry, and had the required company size, it was considered a potential buyer.
This shift is important because interest and demand are not the same. A company may fit an ICP but have no immediate need for a solution. Another organization may might not be in account list yet could be actively researching the solutions. For example, a cybersecurity provider may discover that buyers are consuming identity management and zero-trust security content. These indicate a growing interest in solving a specific problem. Targeted marketing campaigns and sales outreach may follow.
The decision between both is about understanding how each supports Intent Data for targeting.
1. The Right Choice Depends on Business Objectives
Organizations focused on market expansion often prioritize third-party Intent Data. While others looking to improve lead scoring and conversion rates rely on first-party data.
A cloud infrastructure company uses third-party data to identify companies researching hybrid cloud strategies and first-party data to engage buyers with its solution pages.
2. Combining Both Creates Strong Audience Targeting
Third party intent data is used to target accounts researching relevant topics, while first party intent data will help determine real customer behavior.
Prospects discover the vendor via market research, visit the vendor’s site and attend a webinar. Third-party intent data is used to identify account, and first-party data validates purchase intent.
3. First-Party Data Supports Conversion Efforts
First-party Intent Data is effective for nurturing existing prospects and accelerating pipeline. It helps understand where a prospect is in the buying process.
An account that repeatedly visits a case study page can be targeted with a customer success webinar or a product demo.
Intent Data helps marketing teams determine buyers at every stage of the journey.
1. It Identifies the Problems Buyers Are Trying to Solve
Intent signals indicate business challenges before buyers engage with a vendor. Marketing team can create campaigns around those challenges.
A company researching "employee retention strategies" may respond better to content on workforce engagement than a HR technology ad.
2. It Improves Timing of Content Delivery
Buyer interests change throughout the journey. Intent Data helps determine when to deliver specific assets. This also prevents from sending sales-focused messaging too early in the process.
A prospect researching cloud migration strategies first receives an industry guide and later offered a product demo after showing intent.
3. Helps With Prioritizing Content Investment
Knowing topics relevant to buyer helps to create content. This makes sure that all the marketing resources are directed towards the right area.
If multiple accounts are showing interest in "first-party data strategies," a marketing team develops a webinar series, eBook, and case study.
The right strategy employs a framework that will help to pinpoint accounts with true need.
1. Examine Engagement on Multiple Platforms
True purchasing intent can be found through multiple touchpoints such as publishing platforms, website, webinar, and email interactions.
An account consuming third-party content and then visiting a vendor's pricing page demonstrates stronger intent.
2. Evaluate Buying Group Activity
B2B buying involve multiple stakeholders, and purchase intent reveals when they show interest. Intent Data for Targeting helps identify when engagement is spreading across a buying group.
If an IT manager, security architect, and procurement leader are researching cybersecurity solutions, it is an active buying group.
3. Combine Intent Signals with Firmographic Data
Combine Intent Data with company size, industry, geography to prioritize opportunities.
A software vendor may prioritize intent signals from financial services companies while excluding organizations outside its target audience.
4. Score and Prioritize Accounts
Use scoring models that combine engagement frequency, topic relevance, account fit, and buying group activity.
An account researching relevant topics regularly, engaging with company content, and involving multiple stakeholders would receive a high score.
As B2B buying is complex, companies that effectively use Intent Data gain an advantage. They are identifying demand and building strategies around buyer behavior. The result is strong pipeline performance and a clear path to expansion revenue.
By Paramita Patra
Published on 7th, Jul, 2026
A software company launches a campaign targeting IT leaders in manufacturing. Engagement remains low because the campaign is reaching buyers not actively researching solutions. At the same time, another set of buyers are already consuming content, but they are not on the marketing team's target list.
Intent Data for Targeting allows marketers to move beyond broad segmentation and focus on prospects with a probability of conversion. It helps to gain a view of in-market buyers and engage prospects at the right time.
This article explains the importance of intent data for B2B targeting.
For years, B2B marketers assumed that if a buyer matched the ICP, operated in the right industry, and had the required company size, it was considered a potential buyer.
This shift is important because interest and demand are not the same. A company may fit an ICP but have no immediate need for a solution. Another organization may might not be in account list yet could be actively researching the solutions. For example, a cybersecurity provider may discover that buyers are consuming identity management and zero-trust security content. These indicate a growing interest in solving a specific problem. Targeted marketing campaigns and sales outreach may follow.
The decision between both is about understanding how each supports Intent Data for targeting.
1. The Right Choice Depends on Business Objectives
Organizations focused on market expansion often prioritize third-party Intent Data. While others looking to improve lead scoring and conversion rates rely on first-party data.
A cloud infrastructure company uses third-party data to identify companies researching hybrid cloud strategies and first-party data to engage buyers with its solution pages.
2. Combining Both Creates Strong Audience Targeting
Third party intent data is used to target accounts researching relevant topics, while first party intent data will help determine real customer behavior.
Prospects discover the vendor via market research, visit the vendor’s site and attend a webinar. Third-party intent data is used to identify account, and first-party data validates purchase intent.
3. First-Party Data Supports Conversion Efforts
First-party Intent Data is effective for nurturing existing prospects and accelerating pipeline. It helps understand where a prospect is in the buying process.
An account that repeatedly visits a case study page can be targeted with a customer success webinar or a product demo.
Intent Data helps marketing teams determine buyers at every stage of the journey.
1. It Identifies the Problems Buyers Are Trying to Solve
Intent signals indicate business challenges before buyers engage with a vendor. Marketing team can create campaigns around those challenges.
A company researching "employee retention strategies" may respond better to content on workforce engagement than a HR technology ad.
2. It Improves Timing of Content Delivery
Buyer interests change throughout the journey. Intent Data helps determine when to deliver specific assets. This also prevents from sending sales-focused messaging too early in the process.
A prospect researching cloud migration strategies first receives an industry guide and later offered a product demo after showing intent.
3. Helps With Prioritizing Content Investment
Knowing topics relevant to buyer helps to create content. This makes sure that all the marketing resources are directed towards the right area.
If multiple accounts are showing interest in "first-party data strategies," a marketing team develops a webinar series, eBook, and case study.
The right strategy employs a framework that will help to pinpoint accounts with true need.
1. Examine Engagement on Multiple Platforms
True purchasing intent can be found through multiple touchpoints such as publishing platforms, website, webinar, and email interactions.
An account consuming third-party content and then visiting a vendor's pricing page demonstrates stronger intent.
2. Evaluate Buying Group Activity
B2B buying involve multiple stakeholders, and purchase intent reveals when they show interest. Intent Data for Targeting helps identify when engagement is spreading across a buying group.
If an IT manager, security architect, and procurement leader are researching cybersecurity solutions, it is an active buying group.
3. Combine Intent Signals with Firmographic Data
Combine Intent Data with company size, industry, geography to prioritize opportunities.
A software vendor may prioritize intent signals from financial services companies while excluding organizations outside its target audience.
4. Score and Prioritize Accounts
Use scoring models that combine engagement frequency, topic relevance, account fit, and buying group activity.
An account researching relevant topics regularly, engaging with company content, and involving multiple stakeholders would receive a high score.
As B2B buying is complex, companies that effectively use Intent Data gain an advantage. They are identifying demand and building strategies around buyer behavior. The result is strong pipeline performance and a clear path to expansion revenue.
