Intent data comes in many flavors, including first-party and third-party data. It can help you optimize your content strategy and identify high-value prospects.
But some of the vendors selling third-party intent data tend to over-promise on what it can do. Third-party intent data (like many types of data) can lack timeliness, accuracy and can misinterpret online activities as buying interest.
Marketers gathered at the fall 2024 MarTech Conference for a discussion of intent data — what it does well, where it struggles and where organizations are seeing success.
The discussion was led by Eric Dates, Head of Marketing at VComply and Liam Moroney, CEO of Storybook Marketing
Among the topics Eric, Liam and the gang covered in the conversation:
1:10: There are several forms of intent, first-party, third-party and more.
4:10: What is the story the intent is telling?
7:00: How do you action on the information in intent data
9:30: Do intent providers over-promise?
12:40: Where marketers have success with intent data.
15:10: How do you differentiate between late-stage intent signals and browsers?
20:42: Using intent signals to deliver value.
24:30: Transactional marketing is becoming out-dated.
26:29: Understanding what intent signals say about the buyer.
28:54: Understanding the value of the different types of intent signals.
35:03: Tips for using third-party intent data.
40:00 Should sales be involved in the process of intent data
Dig deeper: The false allure of B2B intent data
The post Marketers discuss what it takes to succeed with intent data appeared first on MarTech.
**Experts Explore Key Strategies for Success with Intent Data in Marketing**
In the ever-evolving world of digital marketing, intent data has emerged as a game-changing tool for businesses looking to refine their strategies, engage with prospects more effectively, and drive higher conversion rates. By leveraging insights into a prospect’s behavior and interests, marketers can tailor their campaigns to meet the specific needs of their audience. However, as with any powerful tool, success with intent data requires a thoughtful and strategic approach. In this article, we’ll explore key strategies that experts recommend for maximizing the value of intent data in marketing.
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### **What is Intent Data?**
Intent data refers to information collected about a user’s online behavior that signals their intent to purchase, research, or engage with a product or service. This data can include website visits, content downloads, search queries, and engagement with emails or ads. Intent data is typically categorized into two types:
1. **First-Party Intent Data**: Collected directly by a company through its own digital channels, such as website analytics or CRM systems.
2. **Third-Party Intent Data**: Gathered by external providers from a variety of sources, such as industry websites, forums, or social media platforms.
When used effectively, intent data allows marketers to identify where prospects are in their buying journey and deliver highly personalized, timely messaging.
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### **Key Strategies for Success with Intent Data**
#### **1. Define Clear Goals and Use Cases**
Before diving into intent data, experts emphasize the importance of defining clear objectives. What are you trying to achieve with intent data? Common use cases include:
– Identifying high-intent leads for sales teams.
– Personalizing marketing campaigns to improve engagement.
– Prioritizing accounts for account-based marketing (ABM) efforts.
– Enhancing customer retention by identifying churn risks.
By establishing specific goals, businesses can focus their efforts and measure the success of their intent-driven strategies.
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#### **2. Integrate Intent Data with Existing Systems**
To unlock the full potential of intent data, it’s crucial to integrate it with your existing marketing and sales tools. This includes customer relationship management (CRM) platforms, marketing automation systems, and analytics dashboards. Integration ensures that intent insights are accessible to both marketing and sales teams, enabling a seamless flow of information and coordinated efforts.
For example, integrating intent data with a CRM system allows sales teams to prioritize leads based on their level of interest and readiness to buy. Similarly, connecting intent data to marketing automation platforms enables the creation of dynamic, personalized campaigns.
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#### **3. Focus on Data Quality and Relevance**
Not all intent data is created equal. Experts stress the importance of working with high-quality, relevant data to avoid wasting resources on leads that are unlikely to convert. When evaluating intent data providers, consider factors such as:
– **Accuracy**: How reliable is the data? Is it updated in real-time?
– **Relevance**: Does the data align with your target audience and industry?
– **Transparency**: Can the provider explain how the data is collected and processed?
Additionally, businesses should regularly audit their intent data to ensure it remains accurate and actionable.
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#### **4. Combine Intent Data with Other Insights**
While intent data is a powerful tool, it should not be used in isolation. Experts recommend combining it with other data sources, such as demographic, firmographic, and technographic data, to create a more comprehensive view of your audience. This holistic approach enables marketers to segment their audience more effectively and deliver highly targeted messaging.
For example, a B2B company could combine intent data with firmographic insights (e.g., company size, industry, and revenue) to identify high-value accounts that are actively researching their solutions.
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#### **5. Prioritize Personalization**
One of the greatest advantages of intent data is its ability to enable personalized marketing at scale. By understanding what prospects are searching for or engaging with, marketers can craft messages that resonate with their specific needs and pain points.
Personalization can take many forms, including:
– Customized email campaigns based on a prospect’s recent activity.
– Dynamic website content that adapts to the user’s interests.
– Tailored product recommendations or offers.
The more relevant and timely your messaging, the more likely you are to capture the attention of your audience and drive conversions.
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#### **6. Align Marketing and Sales Teams**
Intent data is most effective when marketing and sales teams work together to act on the insights it provides. This requires clear communication and alignment on goals, processes, and definitions. For example:
– Marketing teams can use intent data to nurture leads with targeted campaigns and pass high-intent prospects to sales.
– Sales teams can prioritize outreach to accounts showing strong buying signals and tailor their pitches based on the prospect’s interests.
Regular collaboration and feedback between the two teams can help refine the use of intent data and improve overall results.
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#### **7. Monitor and Optimize Performance**
As with any
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