Jon Miller, CEO Engagio
Across many ancient philosophies and cultures, it is believed that the universe is formed by the four elements: earth, air, fire, and water.
This is also the inspiration for the name of one of the most successful bands of the 20th century:
These four elements operate together in harmony to bring a balance to nature. It’s like the balance between left-brain logic and right-brain intuition. Successful Account Based Everything (ABE) strikes a similar balance between art and science.
Choosing Your List for Account Based Everything
The most important step in the ABE process is choosing which target accounts will receive the focus of our resources, and to do this correctly, we need to combine both our intuition and logic to come up with an “Ideal Customer Profile.”
Just like the four elements, there are four specific types of data that play a critical role in this process. For the most successful program, and to strike a harmonious balance in your ABE strategy, take advantage of each of them.
The kind of data inputs will vary for your organization depending on many factors, but the process will likely include four types of information: firmographic, technographic, intent data, and engagement data.
1. Firmographic Information
Chances are, you already have a pretty good idea about the kinds of companies most likely to deliver the big deals. Ask yourself which company characteristics best predict a successful sales process.
The answer will likely take the form of:
You can find this information from a variety of sources, including annual reports, LinkedIn, and third party data vendors such as Dun & Bradstreet and Reachforce. This is an excellent starting point for your account selection process, but it’s only the beginning.
2. Technographic information
At this stage of the account selection process, you’re looking to define which technologies your target accounts currently use, or are looking to invest in.
Globally, companies spend $3.54 trillion dollars in IT (according to 2016 numbers from Gartner), making it a key imperative to focus on only those organizations most likely to demonstrate a fit with your product.
Consider what complementary technologies pair well with your solution, and in contrast, which technologies make an investment less likely. For example, knowing that a company uses Marketo, Salesforce, or SAP might just make them a more attractive candidate for your solution.
Source this data from desk research looking at forums, job boards, social media, and other indications that an organization is utilizing certain technology. To bring efficiencies here, tap into the knowledge of competitive intelligence firms such as HG Data, or web scraping firms like Datanyze and BuiltWith.
3. Intent data
One of the key elements of a Marketing Qualified Account is understanding intent. Firmographic and technographic data are both static descriptors that decrease the total size of your audience and thereby concentrate your efforts. But, intent data uses the behavior of contacts at these target accounts to indicate a more urgent qualification and fit.
(This is where Lead-to-Account Matching is critical.)
Seek signs that a target account is in the market right now for solutions like yours. This could include any behavioral data that indicates priority, including:
This data is sourced from forums, job boards, and similar sources. In addition, intent vendors such as Bombora, MRP, and The Big Willow can deliver a layer of insight to maximize your findings.
4. Engagement data
While intent data can signify what buying activity an account is exhibiting elsewhere on the internet, engagement data seeks to identify how engaged your company is with this account right now.
When faced with a long list of potential target accounts, you’ve got to start somewhere, and your quickest path to traction with ABE will be with those companies where existing activity indicates strong opportunity.
Your current level of engagement will include:
This information is found from a variety of sources, including:
This layer of information is not enough when considered alone. Instead, use intent data to prioritize from a longer list, rather than to supply your entire list.
All – or nothing.
In fact, none of the four data types above are enough by themselves to formulate a sound account selection strategy. Just like the four elements, which work in tandem, these four data sources should be part of a holistic account selection strategy.
For more information on how to build your Account Based Everything strategy, download The Clear and Complete Guide to Account Based Marketing.
Do you use any other data sources?