Closing a deal requires both the right moment and the right technique. Several classic closes help sellers move prospects toward commitment. The trial close gauges buying readiness before the actual close, asking questions such as "If we can solve X, would you be comfortable moving forward?" The assumptive close acts as if the prospect has already decided to buy, for example asking "Shall we start onboarding next Monday or Wednesday?" The summary close recaps all agreed-upon benefits and value before asking for commitment, reinforcing the business case in the prospect's mind. Finally, the urgency close creates a legitimate reason to act now, such as end-of-quarter pricing, limited implementation slots, or a competitor's upcoming contract renewal.
Behind every close is a managed pipeline. Pipeline management is the process of tracking and optimising all active deals across stages, ensuring sufficient volume, velocity, and conversion at each step. Pipeline velocity is a key metric, calculated as the number of deals multiplied by average deal size and win rate, divided by sales cycle length; it measures how quickly revenue moves through the business. Other important metrics include the average win rate, typically 15 to 30% in B2B, sales cycle length, the average number of days from first contact to closed deal, and quota attainment, the percentage of a salesperson's target actually achieved.
For forecasting, sellers rely on Average Contract Value (ACV), the average annualised revenue per customer contract, and weighted pipeline, which multiplies each deal's value by its probability of closing based on its stage, producing a more realistic revenue projection. Sales forecasting itself combines pipeline data, historical trends, and deal-level analysis. Three common forecasting methods are opportunity-stage weighting, historical run-rate analysis, and rep-level intuitive forecasting, where reps commit to best-case and upside numbers. Used together, these techniques and metrics turn a collection of deals into a reliable revenue picture.