A sales accepted lead (SAL) is a marketing qualified lead that a sales rep has reviewed and formally accepted as worth working, based on agreed acceptance criteria. SAL marks the formal handoff between marketing qualification and sales pursuit, and is the contractual midpoint in the demand waterfall.
A revenue engine is the integrated system of marketing, sales, and customer success motions that produces predictable revenue at a B2B company. It includes the people, process, data, and technology that together convert target market into recurring revenue and expansion, and it is the unit of analysis for any leadership team that wants compounding growth rather than quarter-by-quarter hustle.
Opportunity to close rate is the share of qualified sales opportunities that convert into closed-won deals in a defined cohort window, expressed as a percentage. It is a core diagnostic for sales execution quality, deal qualification rigor, and forecast reliability across B2B revenue programs.
Multi-touch attribution models distribute revenue credit across the multiple marketing and sales touches that contribute to a B2B conversion. They produce a fractional view of channel impact rather than awarding full credit to a single first or last interaction, which suits B2B journeys that involve dozens of touches across many stakeholders.
Marketing attribution lift is the incremental contribution a marketing channel or campaign makes to revenue, measured against a baseline of what would have happened without that touch. It separates correlation from causation in attribution analysis and answers the question that every CFO asks: how much of this revenue would we have earned without the spend?
Lead to MQL conversion rate is the share of new leads that meet the marketing qualified lead threshold within a defined window, expressed as a percentage. It measures the quality of top-of-funnel acquisition relative to a program's qualification bar and is the first conversion gate in most B2B revenue funnels.
Last-touch attribution credits the final marketing touch before conversion with full revenue. Multi-touch attribution distributes credit across every touch in the journey. The choice shapes which channels look productive in reporting and which receive budget, and the difference can change the same revenue picture by 30 percent or more depending on the buying journey.
An intent surge is a statistically significant increase in research activity at a specific account around a defined topic, signaling that the account has likely entered an active buying cycle. Surges are detected by comparing recent activity to the account's own historical baseline rather than to a fixed industry average, which is what separates a surge from steady background research.
An in-market account is a target account that is currently exhibiting buying behavior for a specific category, identified through a combination of intent signals, engagement velocity, and buying-committee activity. It represents the subset of the total addressable market that is purchasing now, not later, and is the most actionable segmentation in B2B because it adds timing to fit.
A demand unit is a buying group within a target account formed around a specific need, problem, or initiative. It is smaller than the account but larger than an individual lead, and it represents the actual unit of B2B purchase decision-making in modern buying motions, especially at large enterprises where one account can host many independent buying groups.
A buying stage is a discrete phase a B2B account passes through during a purchase decision, ranging from problem awareness through evaluation to decision and renewal. Buying stages map the buyer's journey and shape what content, channel, and play is appropriate at each step, making them the operating unit for orchestration.
Account velocity is the rate at which target accounts move from initial engagement to closed-won, expressed as accounts converted per unit of time. It measures how quickly a B2B program advances accounts through the buying journey rather than how quickly it advances individual leads, and is the natural cadence metric for ABM programs.