Open Opportunities (Revenue) is the total revenue value of all active sales deals currently in your pipeline. Also called "pipeline," sales teams track this metric to monitor deal progress, assess pipeline health, and forecast future closed revenue. It reflects the maximum potential revenue available if every active opportunity were won.
A sales team is working 20 active opportunities. Fifteen are for a product priced at $10,000 each, and five are for a premium product priced at $20,000 each.
Open Opportunities (Revenue) = (15 × $10,000) + (5 × $20,000) = $250,000
That $250,000 represents the maximum revenue the team could close if every deal converts — a useful ceiling for forecasting conversations.
Why Open Opportunities (Revenue) matters
Pipeline value is one of the most direct indicators of future revenue. If your open opportunities drop significantly in a given month, closed revenue will likely follow two to four weeks later, depending on your average sales cycle.
Sales managers use this metric to:
Assess individual performance by comparing each rep's pipeline value against their quota
Identify coaching opportunities when a rep's deals are stalled in early stages
Validate forecasts by checking whether the pipeline is large enough to support revenue targets
Inform hiring and capacity decisions when aggregate pipeline consistently exceeds what the team can work
A healthy pipeline value is typically three to five times your revenue target for the period, though this varies by industry, average deal size, and win rate.
How to use Open Opportunities (Revenue) in practice
Tracking pipeline value in isolation tells you the size of the opportunity, but not the quality. Pair this metric with complementary measures to get a complete picture.
Combine with stage-weighted pipeline
Breaking down open opportunities by sales stage reveals where deals are concentrated. A pipeline heavy in early stages carries more risk than one concentrated in late-stage negotiation. Many teams apply a probability weight to each stage — for example, 20% for discovery and 80% for contract review — to produce a probability-adjusted pipeline value alongside the raw total.
Monitor pipeline velocity
Pipeline value tells you what is in the funnel. Pipeline velocity tells you how fast deals are moving through it. Tracking both together helps you distinguish between a healthy pipeline that is progressing and a stagnant one that is inflating your numbers without producing revenue.
Use as a forecasting input
Open Opportunities (Revenue) feeds directly into revenue forecasts. By combining pipeline value with your historical win rate and average sales cycle length, you can estimate expected closed revenue for the quarter. For example, if your pipeline is $500,000 and your win rate is 30%, your expected closed revenue is approximately $150,000 — assuming deals close within the forecast period.
Common challenges and how to address them
Stale opportunities inflate the number. Deals that have gone cold but remain open in the CRM overstate your true pipeline. Set a policy for archiving or disqualifying opportunities that have had no activity beyond a defined threshold — 30 or 60 days is common.
Inconsistent deal entry creates noise. If reps log expected revenue differently — some using list price, others using discounted price — your aggregate will be unreliable. Standardize how expected revenue is entered in your CRM and audit regularly.
Pipeline value without context misleads. A $1,000,000 pipeline sounds strong, but if your quota is $1,500,000 and your win rate is 25%, you are under-covered. Always interpret pipeline value relative to your target and historical conversion rate.
Related metrics to track alongside pipeline value
| Metric | What it adds |
|---|
| Win Rate | Converts pipeline value into expected revenue |
| Average Deal Size | Flags whether deal quality is shifting |
| Sales Cycle Length | Determines when pipeline revenue will materialize |
| Pipeline Coverage Ratio | Compares pipeline value to revenue target |
| Number of Open Opportunities | Reveals volume trends independent of deal size |