Intent data gives you a better understanding of customer needs. Armed with this level of predictive data intelligence, you will not only establish more of a competitive edge but also build a stronger sales pipeline. Read to learn about intent data and how you can use it to cue you into your potential buyers’ most subtle purchase signals.
by
Karli Stone
PUBLISHED Dec 11, 2023
3Min Read
Your prospects have a problem and you have the solution.
But the buyer journey is evolving.
In fact, studies show that sellers are finding less and less opportunity to influence customer decisions. When B2B buyers are considering a purchase, they spend only 17% of that time meeting with potential suppliers.
During the rest of their buying journey, they are performing online searches, reading reviews and other relevant documents, and comparing the different options that will address their pain points.
Now, what if you could get a bird's eye view into their thought process? It would change your sales and marketing game, right?
This is the goal of intent data.
Intent data can help you leverage customer insights to your company's advantage. With a better understanding of customer needs and armed with this level of data intelligence, you will not only establish more of a competitive edge but also build a stronger sales pipeline.
Read on to learn more about intent data and how you can use it to cue you into your potential buyers' most subtle purchase signals.
When you search for something online, visit a webpage, or read a blog post, you are communicating a level of interest in those particular topics. For example, it's safe to assume that people reading this blog post have an interest in "intent data". If you, as the reader, were to visit even more web pages about intent data, it would be reasonable to infer that you are highly interested in the topic.
Intent data is built on this idea.
Intent data is information collected about a web user's behavior – specifically web content consumption. It is a set of signals that reveals which leads or accounts are actively researching on first and/or third-party sites.
When buyers have a problem, they do research to find a solution. They do it before you even know what their needs are. After all, your ideal customers may not even be visiting your website to address their pain points. They are likely researching anonymously.
When you have access to intent data, you're put ahead of this process.
Intent data gives businesses access to consumers' behavioral signs, which they can then use as a predictive tool to determine prospective buyers' next steps.
Let's take a closer look at the two most common types of intent data:
This type of intent data is what you most often imagine when you think about tracking buyer behavior: data from your own website and social platforms. You likely already track first party intent data through analytics tools, sales engagement platforms, or your website's backend.
First party intent data can be valuable for identifying purchase intent and it can help your salespeople reach out to proactively address concerns and pain points. However, the issue with first party intent data is that it can be rather one-dimensional. It only provides a small insight into the B2B buyer's purchase journey.
This is where third party intent data can help.
Third party intent data observes buyer research beyond your site. It gives you insights from digital touchpoints outside of your organization, such as competitors' websites, content platforms, social media, Google searches, etc.
When used effectively, third party intent data can open up a whole world of buyer information. It offers the scale and personalized information that helps marketers access new prospects and encourage them into your pipeline at the right time!
Beyond just knowing where the data comes from (first-party vs. third-party), it's helpful to think about what the data actually tells you. Most B2B intent data falls into a few key categories.
Topic-level data shows you which subjects an account is researching across the web. Are they suddenly consuming a lot of content about 'cybersecurity compliance' or 'account-based marketing platforms'? That's a huge clue about their current priorities.
Engagement data tracks how they interact with that content. Are they just browsing, or are they downloading whitepapers, visiting pricing pages, and watching product demos? Higher engagement signals a more serious buyer who is moving closer to a decision.
Contextual data adds another layer, looking at things like the seniority of the people doing the research or how many people from one company are showing interest. A spike in research from VPs at a target account is a much stronger signal than a single intern poking around.
So how does this all come together? It's not magic, but it's pretty clever. The process generally follows three simple steps.
First, data is collected from millions of online sources — think publisher sites, blogs, forums, and review sites. This creates a massive pool of anonymous user activity.
Next, AI and machine learning get to work. They analyze all this activity to connect the dots, identifying which topics are surging in popularity within specific companies. It's about finding the patterns in the noise to pinpoint real, active interest.
Finally, these insights are delivered to you. Instead of a random list of leads, you get a prioritized list of accounts that are actively researching solutions like yours, right now. This lets you focus your energy where it counts.
Integrating intent data isn't just about getting more information — it's about driving better outcomes. When you know who's in-market, you gain a serious competitive edge.
You can prioritize your outreach by focusing on accounts that are already looking for a solution, which means higher response rates and more qualified conversations. It also helps you personalize your messaging. Instead of a generic pitch, you can talk about the exact topics and pain points you know they're researching.
The result? You shorten your sales cycle by engaging buyers at the perfect moment, improve your conversion rates by talking to the right people, and ultimately, build a more predictable and efficient revenue engine.
Once you understand the types of intent data, it becomes easier to understand the ways you can collect it.
More likely than not, you already have the practices in place for collecting first party intent data.
Anything from forms filled out from prospective buyers on your website to tracking website activity to taking notes on customer interactions is first party intent data gathering.
Collecting this type of intent data is cost-effective, easily accessible, and highly valuable. When you collect first party intent data consider combining buyer intent algorithms with your company records. This way you can utilize the data you already own to capitalize on your predictive analysis.
Now, for the trickier part.
When your prospects visit other websites, you have no visibility into their activity. When it comes to gathering third party data, different companies can have different approaches, most of which requires purchasing it directly from data providers:
We've established the value of third party intent data, but it's important to remember that there is risk in gathering it poorly. Establish good and ethical operational practices when you collect intent data! Tracking user behavior without consent can result in heavy fines and your organization could potentially be paying the price for years to come.
Intent data's biggest pull is how it allows sales reps to anticipate buyer needs and contact them earlier on in the buying process, before any of your competitors.
So how do you use your B2B intent data to capitalize on its strengths?
Let's look at some ways together!
Capital is constantly wasted on bad-fit accounts. Forrester Research has found that less than 1% of B2B leads ever become paying customers!
Intent data should be used to identify exactly who is interested in your product or service in any given market.
Monitor web-use activity to pick out the spikes in topic searches. Take into account the amount and types of content consumed, the number of consumers, on-page time, and scroll speed. Many of these underlying factors will point you to the in-market accounts that you should target.
By helping B2B marketers understand their potential customers, intent data makes it possible to identify best-fit accounts and tailor effective messaging towards them.
That's why intent data pairs so well with an account based marketing (ABM) business strategy.
Intent data gives you a deep dive into your potential customer. What is their interest in your product? How will they use it? When are they actively considering? When are they willing and ready to purchase? All of this information can be used to build your best ABM campaign, fully equipped with relevant advertisements and marketable content.
What you learn about your audience from intent data can also be used to adjust your website.
For example, maybe your most frequent visitors are on your site reading over your small selection of case studies. This tells you your site could benefit from adding more real-world examples about your product or service. After all, it's what your prospects are interested in!
From here, you could create more pages dedicated solely to case studies, work with the design team to make your digital case studies more cohesive and interesting, or even conduct more case study interviews to add to the site!
When optimizing your website with intent insight, make sure you are placing your marketing efforts on your visitors who have the highest intent. It will result in higher conversion rates.
Clearly, there is a lot of work you need to do to efficiently work with intent data. Doing it manually just isn't going to cut it.
With the right data tool, you can get the most out of your intent data with much less time and effort.
Prioritize intent data tools that:
Lucky for you, Apollo is a data tool that fits the bill. Get started for free today and let us support you in gathering and maximizing all that intent data!
Great question. Examples include an account suddenly searching for 'competitor comparisons for Salesforce', multiple employees from one company downloading a whitepaper on 'AI in sales', or someone visiting your pricing page multiple times in one week. These are all signals of active interest.
Yes, absolutely. Reputable intent data providers are fully compliant with privacy regulations like GDPR and CCPA. The data is collected and aggregated anonymously, focusing on company-level behavior rather than tracking specific individuals without consent. It's about understanding market trends, not invading personal privacy.
Look for providers that are transparent about their data collection methods. A quality source, like a publisher co-op, gathers data from a wide network of reputable B2B websites. This ensures the data is comprehensive and reliable. Also, check if the platform allows you to filter intent by specific topics relevant to your business.
Think of it this way: lead scoring ranks the leads you already have based on their fit and engagement with you. Intent data finds the accounts you *should* have in your pipeline because they're showing buying signals out on the open web, often before they even know you exist.
It's highly accurate for identifying trends and buying signals at the account level. While it won't tell you that 'Jane Doe is ready to buy,' it will tell you that Jane's company is showing a significant spike in research around your solution category. It's a powerful directional tool that points your sales team exactly where they need to go.
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