Slippage

Deals whose expected close date moves into a later period, one of the most common reasons a forecast misses.

Checked 9 Oct 2026 · 2 sources

Also called
Push rate, when tracked as a ratio

What is slippage?

Slippage is deals whose expected close date moves into a later period. It is measured as the count or value of deals that were expected this period and are now dated next period or later. Some slippage is normal, because buyers change priorities. Repeated slippage on the same deal is a warning sign about the deal itself. Tracked as a ratio over time, by seller and by manager, it is often called push rate.

Why it matters to a revenue leader

Slippage is where many forecast misses hide. A deal that slips once is a timing question. A deal that keeps slipping is a qualification question. IBM lists overly optimistic forecasting among the common forecasting problems, and slipped close dates are how that optimism shows up. Incentives can drive it too: Ian Larkin's research on enterprise software sales found deals moving between quarters in patterns that matched the salesperson's pay more than customer demand. Trended by person, push rate turns slippage from an excuse into a pattern a manager can coach. In services, budget cycles and facility approvals drive much of it.

How to calculate it

Slippage rate = value of deals expected to close in the period that moved to a later period ÷ value of deals expected to close at the start of the period. Push rate is the same ratio on commit or best-case deals, measured from a fixed snapshot such as the first day of the quarter.

Common mistake: resetting the snapshot each week or measuring only at quarter end, which hides deals that were re-dated mid-quarter.

Example

Fictitious numbers

At the start of Q3, a testing and inspection company expects $1.6M from 20 deals. By quarter end, 6 deals worth $480,000 have moved to Q4. Slippage is 30% by value. Four of the six had already slipped once before.

The question to ask

"Which deals in this quarter's forecast have already slipped once, and what changed when they did?"

Sources

  1. The Cost of High-Powered Incentives: Employee Gaming in Enterprise Software Sales (Journal of Labor Economics, April 2014) checked 17 Oct 2026
  2. What is Sales Forecasting? | IBM checked 9 Oct 2026

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