As digital technologies become more advanced and customers increasingly demand products and services that are personalized to their preferences, B2B marketers have found it difficult to craft marketing campaigns that are specifically tailored to those potential buyers.
Success in today’s digital economy is defined by speed, innovation and personalization, but that can be hard for marketers relying on outdated forms of data collection.
That’s where buyer intent data comes in.
Intent data refers to the information generated by an individuals’ online activity that helps marketers determine whether that user is interested in buying a product. Although B2B intent data is becoming critical to digital marketing success, less than 50% of companies have a well-defined intent data strategy.
While there are a number of different intent signals that marketers can use to identify buyer intent, some of the most common include:
Accounts give you a substantial amount of information based solely on the type and subject matter of the content they’re consuming. Those that are reading blogs covering the basics of artificial intelligence, for example, probably aren’t considering purchasing AI-powered CRM software for their business.
If they’ve consumed a buyer’s guide on the best AI-powered CRM features, a white paper on the latest developments in AI-powered technology, and two case studies about a specific CRM platform, you can safely assume they’re gathering information with a view to making a purchasing decision.
Everyone has different research habits. Some people make research a part of their daily routine, whether because their industry is constantly changing and demands it or they simply want to stay abreast of the latest trends and developments. Others conduct deep research only when they’re in the market for a new product.
Either way, buyer intent data helps you track the research behavior of different accounts, enabling you to identify when there is a spike in research volume, which could indicate that a purchase journey has been initiated.
Even if you’ve nailed down research data, you need to consider that everyone does research for different reasons. Understanding account context can help. Junior staff might be tasked with conducting research for an internal project, with no intent — or power — to make a purchasing decision. Chasing a spike in research volume from these accounts is likely not worth your time or resources.
On the other hand, if senior-level decision makers are undertaking an unusual amount of research (and displaying other intent signals, for that matter), it’s much more likely that their internal buying committee is considering making a purchase in the near future.
Some accounts make it obvious that they’re in the market for a product. They might email your sales team directly to begin a conversation, request a sales demo or free trial, or fill out a contact form to get more information. These accounts are almost certainly considering making a purchase.
While these intent signals are usually the hardest to acquire — and tend to be considered the gold standard for B2B marketers — they’re the surest way to know that users can be pursued as prospective buyers.
What is the purpose of intent data? Simply put, intent data gives you the most accurate information possible about the accounts that are most likely in the market for the product or service you provide. You can use it to enhance your account-based marketing strategies by creating more tailored marketing messages that are geared directly and specifically toward those accounts who’ve displayed interest.
Intent data is a critical part of account-based marketing (ABM) efforts because it gives B2B marketers the information they need to pinpoint their target accounts and generate more qualified leads for their sales team. The main benefits of using intent data are:
Intent data type is characterized by the organization that collects the initial data. The three main types of intent data include:
Marketers should consider carefully which of the above types of intent data make the most sense for their B2B marketing needs. The right intent data depends largely on your budget, potential customer base and capacity for collecting data in-house.
It’s relatively simple to collect first-party data. Many marketers simply install an analytics tool like Google Analytics to track online user activity and gather actionable insights from that data. Using these methods, marketers can learn about the amount of time users are spending on their site, the pages they are visiting, the content they’re consuming, and the amount of time they spend on each. Second-party data is gathered using many of the same methods as first-party data.
Third-party data is a different story. Companies that gather this type of intent data are usually built for purpose, meaning they have more sophisticated methods of gathering data from online sources. Most B2B intent data providers rely on either independent websites, publisher co-ops or the bidstream to gather intent data:
Third-party data has become a central part of most marketers’ strategies. Research from Gartner shows that by the end of 2022, more than 70% of B2B marketers will be leveraging third-party data to target prospects. However, most B2B intent data providers rely on one of the above data collection methods, limiting their reach and therefore the impact that intent data can have for customers.
That’s where we come in.
We manage a content database consisting of hundreds of thousands of assets, covering white papers, case studies and more. Our methodology gathers and analyzes an enormous volume of B2B intent data from that content, giving marketers across numerous industries critical audience, page and other user engagement information.