Four main types of data india phone number list
combine together to provide account intelligence. These include:
Firmographic data includes key information about a business, such as its industry, company size, revenue, location, and number of employees. Firmographic data is static and hence can be easily obtained.
For example, a software company might target businesses in the healthcare sector with annual revenues exceeding $10 million, headquartered in urban areas, and employing over 200 staff members. Other firmographic details could include business structure (e.g., private or public) and growth stage (e.g., startup or enterprise).
Technographic data refers to information about the technologies and tools a company uses. This data typically offers limited insights but can be useful when combined with firmographic and contextual data (discussed below).
Behavioral Data
Behavioral data refers to the impact of 5g on digital marketing
information on prospects’ interactions with your brand.
This dynamic data can tell which accounts are interested in your company’s offerings, thus qualifying prospects that are most likely to convert.
Examples include website visits, pages viewed, time spent on specific pages, and actions like downloading resources or filling out forms. Behavioral data also includes email engagement metrics, such as open rates, click-through rates, and replies. Besides these, tracking social media interactions, webinar attendance, and product usage patterns can also provide valuable behavioral insights to shape successful outreach campaigns.Examples include the CRM software they rely on, their choice of email marketing platforms, cloud storage providers, cybersecurity solutions, and web hosting services. For instance, knowing a prospect uses Salesforce as their CRM or AWS for cloud computing can help tailor your pitch to align with their existing tech stack and needs.
Contextual Data
Contextual data includes europe email
information that provides deeper insights into a target account’s current situation, such as how accounts are using their current technology, how much money they have set aside for it, and other details like agreements with competing vendors.
Examples include a company’s recent funding announcements, mergers or acquisitions, changes in leadership, and expansion into new markets. It can also encompass industry trends, buying patterns, and competitor analysis. For individual prospects, contextual data includes job changes, professional milestones, or recent interactions with your business.
Compiling the four components of account-based intelligence contributes to developing a more comprehensive image of a target account, which can better inform ABM initiatives. While firmographics and technographics are primarily third-party data, behavioral and contextual data can only be gathered from first-party sources.
