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Sales Forecasting

What Is a Good Deal Slippage Rate?

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Definition Deal slippage rate measures the percentage of commit-forecast deals that do not close in the committed period. Most revenue teams set an internal target for acceptable slippage on committed pipeline and treat anything consistently above that threshold as either a forecast discipline problem, a deal execution problem, or both. Each requires a different fix.

Set your threshold from your own data. Then hold to it.

A low slippage rate on deals in the commit forecast category means your sales organization is calling its shots accurately and closing what it says it will close. A rate that consistently climbs is a signal worth investigating. The diagnostic question is whether slippage is structural (deals that were never as far along as the CRM suggested) or situational (real external delays on otherwise healthy deals).

The formula: divide the number of commit-category deals that did not close in the committed quarter by the total number of commit-category deals that were in the forecast at the start of that quarter.

Avoidable versus natural slippage

Not all slippage is equal. The most useful operational split is between avoidable and natural slippage.

TypeCharacteristicsFix
AvoidableNo confirmed next step, close date set by habit, champion disengagedInspection cadence, qualification discipline, multi-threading
NaturalProcurement hold, legal review, budget cycle delayBetter discovery earlier in cycle, documented stakeholder map
StructuralDeals were never real commit-qualityForecast category definitions, manager accountability
Avoidable slippage dominating means the problem is process. Natural slippage dominating points to discovery and stakeholder mapping earlier in the cycle. If structural slippage is high, your commit definition has no teeth.

What climbing slippage tells you

Slippage tends to rise for a few predictable reasons: a new rep cohort that has not yet calibrated close date estimates, deal size shifting upward without updated stage criteria, or a quarter-end push that pulled deals forward before they were ready. Each requires a different fix.

A rising slippage-rate combined with rising forecast-bias in the optimistic direction is a strong indicator that reps are sandbagging their pipeline and then over-committing at quarter end. That combination calls for a process review of how forecasts are built and reviewed, not individual performance management.

Segmenting slippage for actionable signal

Company-level slippage rates often mask more important patterns at the segment or rep level. Pull the rate by:

- Sales segment (SMB, mid-market, enterprise) - Deal source (inbound vs. outbound, channel vs. direct) - Rep tenure cohort (ramping vs. fully ramped) - Stage where the deal slipped

The combination of where deals slip and at what frequency per rep or segment produces a prioritized list of interventions that a blanket slippage target does not.

Connect slippage analysis to deal-slippage at the deal level to build a pattern library that improves how your team sets close dates going forward.

Frequently Asked Questions

What is a good slippage rate for B2B SaaS?

The right slippage target depends on your deal complexity, average cycle length, and how tightly your forecast categories are defined. High-ACV enterprise deals will naturally have more late-stage uncertainty than mid-market or SMB deals. Set your threshold based on your own historical data and tighten it over time as forecast discipline improves. Segment the metric by deal type rather than applying one number across the board.

How do I distinguish avoidable slippage from natural slippage?

Avoidable slippage has identifiable causes: close dates were set without a confirmed next step, the champion went dark, or a budget event was not surfaced early. Natural slippage reflects genuine external delays like procurement holds or legal review timelines. Review slipped deals systematically and categorize the reason. If avoidable reasons dominate, the fix is inspection cadence and qualification criteria, not close date coaching alone.

What should I do when my slippage rate climbs?

Start by segmenting the slipped deals by rep, segment, stage, and deal size to find where the pattern lives. A broad rate increase often traces to a few reps with weak discovery or a segment where your ICP fit is drifting. Address the root cause directly rather than applying uniform close date pressure, which typically produces sandbagging without improving the underlying dynamic.

Put these metrics to work

ORM builds custom revenue forecast models that turn concepts like what is a good deal slippage rate? into prescriptive action for your team.

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