30-second answer: Account coverage measures the breadth and depth of vendor engagement across a target account list, surfacing which accounts are touched, how often, and across how many roles. The vocabulary covers coverage ratio, penetration, multi-touch, sequencing, capacity, and coverage gaps. This glossary defines 20 coverage-related terms.
30-second answer: A buying signal is any observable behaviour, event, or pattern that suggests an account is in or near a purchase decision. The vocabulary covers trigger events, in-market signals, hand-raisers, intent classes, engagement events, and churn signals. This glossary defines 22 buying-signal terms operators encounter in B2B revenue stacks.
30-second answer: An account research brief is a one- or two-page summary an SDR or AE reads before reaching out, capturing the firmographic context, recent intent, named buyers, and recommended angle. The vocabulary covers brief structure, sources, persona maps, signal evidence, narrative, and refresh cadence. This glossary defines 22 brief-related terms.
30-second answer: Account journey stages describe the lifecycle of an account from anonymous to closed-won and beyond, with explicit entry and exit criteria at each stage so revenue teams measure progression consistently. The vocabulary covers stages, transitions, definitions, exit criteria, and dwell time. This glossary defines 20 journey-stage terms.
30-second answer: An account engagement score summarises how actively a target account is interacting across channels, expressed as a rank-orderable number that drives prioritisation and routing. The vocabulary covers inputs, weighting, decay, thresholds, and the most common failure modes. This glossary defines 20 engagement-scoring terms.
30-second answer: Revenue orchestration is the cross-functional discipline of coordinating marketing, sales, customer success, and operations against a unified account graph and signal layer. The vocabulary covers signal layer, account graph, plays, plays library, instrumentation, and governance. This glossary defines 22 revenue orchestration terms operators use in 2026.
30-second answer: Pipeline orchestration coordinates the cross-channel sequence of touches from intent to opportunity, binding marketing, sales, and post-sales actions to defined triggers and SLAs. The vocabulary covers triggers, plays, routing, handoff, SLA, and attribution. This glossary defines 20 pipeline orchestration terms revenue operators use in 2026.
30-second answer: First-party intent is buyer behaviour observed on properties a vendor owns: website visits, content downloads, ad engagement on owned channels, demo requests, in-product activity. The vocabulary covers signal grain, identification, scoring, decay, and suppression. This glossary defines 20 first-party intent terms used across B2B revenue stacks.
30-second answer: Third-party intent describes account research behaviour observed across external publisher and ad networks, then reported back to vendors under cooperation agreements. The vocabulary covers source types, taxonomy, scoring, suppression, and the cookieless adjustments that have reshaped the category. This glossary defines 20 third-party intent terms.
30-second answer: An intent signal is an observable behaviour or content interaction that suggests an account is researching a category, vendor, or problem. The vocabulary covers source classes, signal grain, scoring, decay, merge, and false-positive control. This glossary defines 22 terms revenue operators encounter in intent-data platforms and orchestration tools.
Signal orchestration is the discipline of ingesting every relevant buying signal a B2B revenue team can observe (third-party intent, first-party engagement, CRM events, product usage, conversation analytics, executive and technographic changes), routing each signal to the right team and channel through a defined trigger logic, and tracking what happened so the system gets smarter over time. It is the operational discipline that turns noisy signal feeds into coordinated revenue action; without it, the signal arrives but nothing actually changes in the buyer's experience.
Deal intelligence is the practice of capturing, structuring, and acting on every signal generated during a B2B sales cycle, including conversation analytics from calls and meetings, email engagement, deal-stage data from CRM, intent signals on the buying account, and product or content engagement, then turning that signal into rep coaching, deal-risk alerts, forecast accuracy, and competitive insight. It sits at the intersection of revenue intelligence, conversation intelligence, and pipeline analytics; the value comes from making the data already produced inside the sales motion legible and actionable rather than letting it sit unused in disconnected systems.