What is B2B Intent Data, and How Does it Work?

The basics of B2B intent data and the Intent DataCloud Platform

… from B2B intent data records and their sources, to leveraging our data analytics to increase conversions and gain actionable insights.

Intent DataCloud’s intuitive intent data analytics measure the consumption of B2B content across multiple channels… Organizational content consumption via content syndication, white paper and webinar registrations, website and landing page analytics, and social listening are just some of the channels that we utilize.

The resulting product is a targeted compilation of highly viable buyer intent data records, which are used to predict and identify companies that are currently in the market for various B2B products, business services and technology solutions.

Between all of Knowledge Hub Media’s B2B marketing initiatives, we generate thousands of unique (highly targeted) B2B leads through internal content syndication and demand generation on a monthly basis.

As such, Intent DataCloud’s analytics and platform are updated regularly. The intent data records that we provide to our customers are never “stale” or “outdated” lists, and we are always evolving to make things even more precise and efficient from data quality standpoint.

The main takeaway is that our intent data is dynamic and always changing. To put it into consumer thinking… When somebody is in the market to buy a new car, how long do they remain in that market? Maybe a week, maybe a month, maybe a year? It’s all dependent on whether or not they even buy a new car… Then when they buy the new car… And then consequently, when they stop researching new cars.

 

Identify companies that are currently in the buying cycle

… and in many cases, ready to make a purchase decision within the next year, 6 months, 3 months and even 30 days.

The Intent DataCloud Platform offers intelligent B2B buyer intent data. Our intent data analytics are derived internally from Content Syndication, Demand Generation, Website Analytics, Email Marketing Metrics and Social Listening, among other channels.

The prospect of utilizing B2B Intent Data grows in popularity almost daily, and Knowledge Hub Media’s upcoming platform – dubbed “Intent DataCloud” – analyzes the content consumption of B2B companies and their employees in an effort to determine when there is active demand for specific types of products, business services and technology solutions. In other words, out intent analytics give us insight into which companies are likely in the buying cycle for specific types of products / solutions.

Intent DataCloud’s analytics are based on organizational content consumption, such as white paper downloads, asset and webinar registrations, website and landing page analytics, dedicated email marketing promotions, and social listening. In a nutshell, the intent data records houses within our platform can predict “your future customers” before they are even aware that they’re actively looking to buy.

 

Build targeted intent-driven ABM lists

… and maximize your sales and marketing efforts by targeting the companies already researching your products, service and technology solutions.

Intent DataCloud’s back-end data analytics use multiple sources to identify organizations that are actively researching specific products and solutions, with an implied intent to purchase said products and solutions in the near future (more to come on the timeline).

Based on white paper downloads, asset registrations, social interactions, and overall B2B content consumption, Intent DataCloud generates intelligent intent analytics that can be leveraged by our customers to easily:

  • Build an export “Target Accounts Lists” (ABM Lists) made up of companies that are already interested in their products and solutions.
  • Overlay current targeting criteria – such as industry selects, company sizes targeted, and ideal annual revenue ranges – on top of companies that are associated with the appropriate intent topics for their lines of products and services.
  • Identify companies that range anywhere on the buying spectrum – from “actively researching” specific services and solutions, to those who have allocated budgets already in place, to the bottom of the funnel companies, that are ready to pull the trigger and decide on a vendor…
  • Depending on the current intent data and 3-tiered intent scoring, the impending purchase can be predicted to occur within the next 12 months, 6 months, 3 months, or even 30 days.

Speaking of scoring, Intent DataCloud’s intent data records are scored in three different ways to allow users to gauge and prioritize the accounts that are showing more intent than others:

 

Step 2 – Let’s take a look at how Intent DataCloud’s intent data scoring works >>