A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme

A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme

A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme


In recent years, ABM has gained traction among B2B marketers. A survey by Sirius Decisions shows that over 90% of B2B marketers consider it an important part of their company’s marketing strategy.

For B2B companies that embrace the ABM approach, intent data is the most critical tool they have at their disposal.

This is because the more details B2B marketers have about their target accounts, the more they can customize their interactions and content to address the issues that matter most to their audiences.

The reality is that customers around the globe are constantly generating intent data. IBM estimates that over 2.5 quintillion bytes of data are consumed each day. This data includes actions that people take online, updates they make on social media, videos they watch online and much more.

But here is the paradox – only a few companies attempt to consolidate this data from different sources for purposes of boosting their ABM programmes. Instead, many companies rely on their own insights.

While this still provides a considerable amount of actionable data, a lot more data is left unutilized.

To succeed in ABM, B2B companies should use customer data from different sources to inform their sales and marketing processes.

Leveraging intent data is a great way of expanding their reach and gathering insights they would otherwise not be able to gather by themselves about their target accounts.

So, how can B2B companies use intent data to power their ABM programmes?

In this article, we take you through a step-by-step process on how you can use intent data in your ABM programme.

But, before we delve into this, let’s first, let’s define intent data.

What Is Intent Data?

Intent data refers to data that relates to the conduct or behavior of the people or accounts that your company is targeting with its offerings. It covers a wide range of details including content downloads, social media interactions, engagement in public discussion, ad clicks and much more. The following image captures the broader concept of intent data better.

A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme

Source: SlideShare

Intent data can be extremely useful in ABM programmes due to its ability to enhance lead qualification and scoring. Intent data can be gathered through your own website or social media platforms or from other channels that your company does not own.

6 Steps for Using Intent Data in ABM Programmes

Weaving intent data into your ABM strategy enables you to further personalize your marketing efforts on account to account basis. Through expanded knowledge, intent data offers valuable insights to B2B companies on what matters most to their prospects. This has many benefits – key among them is paving way for informed marketing campaigns.

But, how can your company use intent data to boost its ABM programmes? Below are 6 steps to intent data – ABM integration:

Step 1: Gather Intent Data

The process of using intent data in ABM programmes starts with gathering it from different sources – those owned by a company and those owned by third parties.

The thing is, the best way for B2B companies to know who is interested in their offerings is to look at who is contacting it. To know this, you need to pay attention to the first party intent data. This is the data that customers generate when they contact your company.

There are several sources of first party intent data. These include:

  • Website contact forms
  • Chat questions left of your chatbot
  • Email inquiries
  • Phone inquiries and other sources as shown in the diagram below.

A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme

Source: SlideShare

Whenever prospects reach out to your company, they show explicit intent. This is because they overcome various entry barriers to get in touch with your brand.

First party intent data is viewed as a high standard ABM data as long as the prospects that reach out B2B companies fit their ideal customer profile. The only thing that the company needs to do with such prospects is close sales.

Step 2: Classify Intent Data

While all intent data is invaluable to a company, it is important to note that prospects will contact your company for different reasons. Some will be seeking information on how to resolve an issue, others will want to buy while others will be needing technical help.

Classifying inbound contacts and accounts depending on context and any other criteria that you use to identify ideal customers enables you to narrow down to prospects that are interested in purchasing your offering.

The purpose of classifying intent data is to ensure that the signals prospects send do not misrepresent their genuine intent. To classify your intent data successfully, gather and analyze first party intent data in a thoughtful way and manage your expectations.

As you do this, note that the contacts and ABM accounts you get from intent data will not skyrocket immediately. Rather, they will grow gradually.

Step 3: Boost Content Marketing Strategy

Customizing your marketing content to the needs of specific target accounts is critical to driving ABM programme success. To effectively do this, B2B companies have to combine first party and third intent data to get a wider perspective of the needs that prospects have.

The reality of the matter is that first party intent data only gives a picture of prospect behavior onsite. Third party data on the other hand, captures a broader data range including giving insights on research activities that prospects undertake on other sites.

This in-depth insight enables B2B marketers to boost ABM programmes by creating content that attracts prospects early in the research process to outsmart competitors. This ensures that no resources get wasted in generating content that target accounts are not interested in.

Further, opportunities for personalizing content are identified and implemented early in the buying process. This enables B2B companies to maximize the impact of their content marketing strategy.

Step 4: Identify High Value Prospects

After classifying your intent data, it’s time to identify the most valuable prospects.

With 74% of marketers acknowledging that intent data offers them the greatest insights about  customers, there are several ways your intent data  will fit into your ABM strategy.

Even so, the highest impact that intent data will have on your ABM programme is enabling your sales and marketing teams to identify high value accounts.

Using intent data, B2B marketers can identify accounts that are already engaging in a proactive search for solutions that their companies are offering. One way to do this is by examining the public interactions prospects have online.

For instance, marketers can evaluate discussions on industry forums, community websites, social networks and comments on content that they engage with. With this information, ABM teams can grow their pool of prospects with interested, high value accounts that are most likely to participate actively in the sales process.

Step 5:  Score and Nurture Leads

Identification of marketing and sales qualified leads largely depends on the ability of B2B marketers to understand prospect intent. This places intent data at the heart of identifying qualified leads.

A Step-By-Step Guide On How to Use Intent Data In Your ABM Programme

Source: MoAgency

Intent data leverages prospect online behavior to identify qualified leads with a high confidence level. ABM teams can use this information to:

  • Improve lead scoring
  • Predict outcomes more accurately
  • Prioritize prospect accounts
  • Utilize available resources better

Since intent data plays the important role of helping marketers understand their prospects, it makes it possible for companies to target prospects effectively throughout their purchase journey.

According to a Sirius Decisions report, 67% of B2B buyer’s journey is completed online.

With details such as what prospects read, how long they stay on a page, what they click on and much more, intent data enables B2B marketers to use personalized and relevant content to nurture those prospects down the sales funnel.

Step 6: Make the Sales Process Shorter

The B2B buying process involves different decision makers – this makes it long and complex. As such, sales and marketing teams have to invest a lot of effort and time to push prospects down the sales funnel.

Intent data helps in shortening this process by eliminating calls and emails to prospects that are less likely to make purchases in the short term. The data can also help companies to avoid cold outreaches that prolong the sales process and waste resources.

Rather than focusing on low value prospectors, marketers can use indicators from intent data to nurture high value accounts through effective pitching.

For example – if you come across prospects whose online behavior suggests active research of specific solutions that your offerings provide, you can use that information to initiate a strategic conversation. After taking this step, you can quickly nurture the prospect to become a customer within a shorter period of time.


A Powerful Tool for B2B Marketers

In today’s complex business environment, data enables businesses to make informed decisions. In marketing, intent data serves as a powerful tool that fuels the growth of ABM programmes in B2B marketers.

By helping B2B marketers understand potential customers, intent data makes it possible for companies to find high value accounts and nurture them through personalized content and campaigns. If you are already using the ABM marketing approach, intent data would be a boost to your programme. You can integrate it into your ABM programme today by following the six steps discussed above.

About Author

A passionate and innovative professional encompassing excellence in B2B marketing industry. Develop and manage integrated programs including content strategy, Lead generation approach, Digital, and social media strategy.