Intent signal velocity is the rate and frequency at which an account exhibits buying intent behaviors. Instead of just knowing an account is in-market, velocity tells you how urgently they’re buying. High velocity accounts are researching aggressively and likely to close within 30-60 days.
Intent data promised to change B2B marketing forever. Know who’s researching before they raise their hand. Prioritize the accounts that are in-market right now. Stop wasting budget on accounts that won’t buy this quarter.
Zero-party data is information that customers and prospects voluntarily provide directly to your company, with explicit consent. This includes preferences shared in surveys, interests indicated in preference centers, information provided in web forms, and data collected from direct customer conversations. Zero-party data is the most accurate and reliable data because it comes directly from the source, without intermediaries. Unlike first-party data (which you infer from behavior tracking) or third-party data (which you purchase from external sources), zero-party data reflects what customers explicitly tell you they want, need, or are interested in. In an era of increasing privacy regulations and cookie deprecation, zero-party data is becoming the foundation of customer intelligence strategies.
Predictive analytics in B2B uses historical sales, customer, and market data combined with machine learning algorithms to forecast future outcomes with quantifiable confidence. In practice, B2B teams use predictive analytics to forecast which leads are most likely to convert (lead scoring), which customers are at highest churn risk (churn prediction), which deals are most likely to close (opportunity scoring), how long a sales cycle will take, and which accounts have the highest lifetime value. Predictive analytics moves beyond gut feel and intuition to data-driven decision-making, helping sales and marketing teams allocate effort and resources toward the highest-probability opportunities.
A buying signal is an observable indicator that a company is actively considering, evaluating, or preparing to purchase a solution in a specific category. Buying signals include both explicit actions (company posted a job for a role related to your solution) and behavioral patterns (company visited your competitor’s website multiple times). Sales and marketing teams monitor buying signals to identify high-priority prospects worthy of immediate outreach. Strong buying signals increase the likelihood that outreach will result in a meaningful conversation, because the buyer is already thinking about solving the problem your solution addresses.
Buyer intent data is information that indicates whether a company or individual is actively evaluating solutions in a specific category, problem domain, or buying area. Intent data comes from behavioral signals like search activity, content consumption, job postings, website visits, earnings calls, and third-party research downloads. Unlike demographic data (which tells you who a company is) or firmographic data (company size, industry, revenue), intent data tells you what a company is actively thinking about and researching right now. High-intent accounts are those showing strong signals of active buying behavior, making them higher-priority targets for sales outreach.
Revenue attribution is the process of identifying which marketing and sales activities contributed to closed revenue and assigning credit to those activities accordingly. In B2B marketing, where buying cycles are long, multiple channels are involved, and multiple stakeholders participate in every purchase decision, attribution is both critically important and genuinely difficult to do well.
Metadata.io built its reputation on automating B2B paid campaigns – specifically LinkedIn and Facebook targeting – while connecting ad spend to pipeline. For demand gen teams tired of manual LinkedIn Campaign Manager workflows, the Metadata pitch is compelling: automate targeting, bidding, and reporting, and tie every dollar to revenue.
B2B data quality is the foundation of every demand gen, ABM, and outbound motion. Bad data means bad targeting, wasted sales time, and pipeline built on garbage. Great data means sales reps spend time on the right accounts, marketing programs reach the right people, and intent signals are actually predictive.
Intent data is one of the most powerful demand-generation tools available. A prospect who’s actively researching your category is 10-15x more likely to convert than a random contact. But for UK B2B teams, intent data comes with a GDPR question: Is it legal to buy and use intent-data vendors under GDPR?
Technographic data is information about the technologies and software a company uses in their operations, from marketing automation platforms to cloud infrastructure to security tools. It tells you what tech stack a prospect already owns-and critically, what gaps exist where your solution fits.
Lead scoring is a system that assigns points or ranks to prospects based on their likelihood to buy. Each interaction-email opens, content downloads, website visits, job title-adds points. When a prospect crosses a threshold (50 points, for example), they’re handed to sales as a “sales-qualified lead” (SQL).