Definition
Quantity Without Adjustments is part of Salesforce's sales functionality that enables organizations to manage their revenue pipeline. It provides tools and data structures that support the end-to-end sales process from lead generation to deal closure.
Real-World Example
a sales operations lead at Cobalt Ventures recently implemented Quantity Without Adjustments to streamline deal management from prospecting through close. With Quantity Without Adjustments properly set up, sales managers can identify bottlenecks in the pipeline, coach reps on stalled deals, and allocate resources to the highest-potential opportunities.
Why Quantity Without Adjustments Matters
Quantity Without Adjustments represents the raw, unmodified quantity forecast that aggregates directly from opportunity product data without any manager or owner overrides applied. In Salesforce forecasting, adjustments allow managers to increase or decrease forecasted amounts based on their judgment, but the original figures are preserved in this field. This baseline metric is valuable because it reflects what the actual deal data says, stripped of subjective modifications. Sales operations teams use it to measure forecast bias by comparing the unadjusted quantities against what ultimately closed.
As forecasting hierarchies grow across multiple management layers, each adding their own adjustments, the gap between the raw data and the final forecast can widen significantly. Quantity Without Adjustments serves as the anchor point that prevents this drift from going unexamined. Without tracking this baseline, organizations lose the ability to evaluate whether adjustments are improving or degrading forecast accuracy. Over time, analyzing the difference between Quantity Without Adjustments and actual closed quantities reveals whether the sales team systematically over-forecasts or under-forecasts at the unit level, enabling targeted coaching and more reliable demand planning for operations teams.
How Organizations Use Quantity Without Adjustments
- Ironclad Industrial — Ironclad's VP of Sales compares Quantity Without Adjustments against actual closed units each quarter to evaluate which regional managers make the most accurate raw forecasts. She discovered that the Northeast region consistently under-forecasts by 15%, causing the supply chain to under-order materials, and implemented bi-weekly pipeline reviews to improve data quality at the rep level.
- ClearView Optics — ClearView's demand planning team pulls Quantity Without Adjustments into a monthly report that feeds their manufacturing ERP system. They use the raw unit forecast rather than adjusted numbers because their analysis showed that manager adjustments historically introduced a 12% optimism bias, which caused overproduction of specialty lens products.
- FleetWise Logistics — FleetWise uses Quantity Without Adjustments to benchmark their sales team's forecasting discipline. By tracking how close the unadjusted quantity lands to actual results over six quarters, they built a confidence scoring model that weights each rep's pipeline contribution differently based on their individual forecast accuracy history.