The comprehensive list of terms and concepts that you need to thrive in today’s B2B marketing landscape.
Business intelligence data includes insights about a company’s size, revenue, industry, technology usage, intent signals, and financial health. This data helps prioritize accounts and tailor messaging. It forms the foundation of ICP and segmentation frameworks.
A data co-op model is a data-sharing model where participating companies contribute anonymized data to a shared pool. Each contributor gains access to broader insights than they could gather alone. Data co-ops improve targeting accuracy, intent signals, and enrichment quality.
A data append is the process of adding missing information to a record, such as job title, firmographics, or contact details. Data appends improve segmentation, scoring, and personalization. They are often done automatically through enrichment tools.
Data harmonization is the process of cleaning, standardizing, and aligning data across systems (CRM, MAP, DSP, etc.). It ensures fields, formats, and definitions match so data flows smoothly. Harmonization is foundational for accurate reporting and automation.
Data hygiene is ongoing maintenance of clean, deduplicated, and accurate data across systems. It includes removing outdated contacts, correcting errors, and normalizing fields. Good data hygiene prevents wasted spend and improves targeting. Data hygiene refers to the ongoing cleaning of stale or incorrect data.
Data compliance and protection is the set of practices ensuring marketing and sales data follows legal requirements such as GDPR and CCPA. It governs consent, storage, retention, and usage. Compliance builds trust and reduces business risk.
Data quality is a measure of how accurate, complete, current, and reliable your data is. High-quality data improves targeting, sales efficiency, and reporting. Poor data leads to misalignment and wasted resources.
Data verification is the process of validating that data is correct, active, and belongs to the right person. It may include email validation, phone verification, and cross-checking sources. Verification improves deliverability and reduces bounce rates.
Demographics are attributes describing people, such as age, gender, income, education, and job role. Demographics influence B2B targeting when combined with firmographics. They help refine audience segmentation.
Diversified intent is intent data collected from many sources, search behavior, content consumption, competitor research, technology signals, and more. Diversified intent reduces bias and provides a more complete picture of buyer interest. It leads to more accurate prioritization.
Firmographics are company-level attributes such as size, industry, revenue, location, and growth stage. Firmographics are essential for ICP building and B2B targeting. They help identify which accounts are the best fit.
First-party data is collected directly from your own channels, website, CRM, product usage, email interactions, etc. First-party data is highly reliable since it is sourced directly from owned channels and interactions.
Automated filtering is the automated process of removing low-quality, duplicate, or unqualified leads before they enter workflows, marketing automation, or CRM systems. It reduces manual work and improves data accuracy. Automated filtering ensures only actionable leads reach sales or nurture.
Business contact data, or business profile information, is data describing professionals, such as name, title, email, company, and role. This information powers targeting, lead generation, and sales outreach. High-quality business data is key for ABM and personalization.
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