// GuidesGlossary
Deal slippage: meaning, the slip-rate formula, and the 5 early signals (2026)
Short answer
Deal slippage is a deal that did not close in the period it was dated for; its close date moved later. Slip rate is the share of pipeline dated to close in a period that moved out of it: value of deals pushed past the period ÷ value of deals dated to close in the period at period start, by value and by count (ORM Technologies). No published benchmark is reliable; track your own by quarter and rep. The five early signals: a close date already pushed once, a last-day-of-period date with no buyer event behind it, no change to stage, amount or close date for 14 days, a buyer gone quiet, and a deal past your usual time in stage.
What does deal slippage mean?
A deal has slipped when the period it was dated to close in ends with it still open, dated later. Slip rate is about the pipeline; an at-risk deal is a prediction that a slip is coming.
| Term | What it means | Unit and rhythm |
|---|---|---|
| Deal slippage | One deal missed the period it was dated for; its close date moved into a later one. Two pushes inside the period predict a slip. | One deal, at period end |
| Slip rate | Of the pipeline dated to close in a period, the share whose close date moved into a later one (ORM Technologies), by value and by count. | Team, rep or stage, once a period |
| At-risk deal | An open deal showing signals it will not close as dated: a judgment before the fact. | One deal, weekly |
How do you calculate deal slippage rate? The formula and a worked example
Slip rate = value of deals pushed past the period ÷ value of deals dated to close in the period at period start. ORM Technologies says the measurement "requires a fixed starting cohort": snapshot the in-period deals on day one, sort the same records into four buckets at period end, and run it by count too, because a few large slips and many small ones give the same dollar percentage. Method adapted from ORM Technologies’ slip-rate guide.
| Outcome at period end | Deals | Value | Share of day-one value | Share of day-one count |
|---|---|---|---|---|
| Closed won | 6 | $170,000 | 28% | 30% |
| Closed lost | 5 | $120,000 | 20% | 25% |
| Slipped to a later period | 7 | $250,000 | 42% | 35% |
| Still open, dated inside the period that just ended | 2 | $60,000 | 10% | 10% |
| Day-one cohort | 20 | $600,000 | 100% | 100% |
By value the slip rate is 250,000 ÷ 600,000, or 42%; by count 7 ÷ 20, or 35%, so a few large deals carried it. Decide once whether the two still dated inside a finished period count as slipped. ORM Technologies’ own example, 96 of 210 deals and $7.4 million of $14.7 million, runs at 50% by value.
Watch out
Snapshot the cohort on day one
As ORM Technologies points out, the close-date field keeps only its latest value, so each change a rep makes erases the one before. A deal re-dated into next quarter also drops out of a "closes this quarter" filter, so export the in-period cohort to a sheet on day one.
Is there a benchmark for deal slippage rate?
No. The averages quoted around the web do not say whose pipelines or which definition they came from. The one figure with a stated source is ORM Technologies’: across its customer base, about 20% of the pipeline dated to close in a quarter on day one usually closes inside that quarter. Your last four quarters are the benchmark, split by rep as ORM Technologies advises: if one rep carries far more than their share of slipped value, coach that rep on setting close dates; if slippage is spread evenly across the roster, look at the stage criteria or the market instead.
What are the 5 early signals that a deal will slip?
A pushed close date is the confirmed signal, and a late one: as ORM Technologies notes, a moved date only records a slip that has already happened. These five come earlier, inside the "2-4 weeks before they slip" window Sybill describes. Group open deals by push count; in ORM Technologies’ analysis, repeat slippage predicts better than any other cut. Signal 3 counts field changes; the 7, 14 or 21-day stale line in the pipeline hygiene checklist counts logged activity, and a deal can trip either.
| Signal | Where it shows up | Rule (a starting point; adjust to your data) | What to do this week |
|---|---|---|---|
| 1. Close date already pushed once | Stage History (Salesforce); property history (HubSpot) | The second push is the one to catch. Sybill: "pushed two weeks, then two more weeks, then two more." | Ask what the buyer said that moved the date. No buyer event named means a guess; re-forecast now. |
| 2. Close date on the last day of the period, no buyer event behind it | Close date field; the rep’s account | ORM Technologies wants a buyer-side event on record (a security review, a board date) before a deal carries an in-period date. | Ask what happens on the buyer’s calendar that day; no answer means re-dating to the buyer’s milestone or out of the period. |
| 3. No change to stage, amount or close date for 14 days | Field history; last-modified date | ORM Technologies counts only those three fields as meaningful activity; logged calls and emails show the seller working, not the deal moving. | Ask the rep to check their inbox and calendar for unlogged work, then agree one re-engagement step, dated. |
| 4. Buyer gone quiet | The rep’s email threads and calendar (or the threads logged on the deal) | Sybill: replies that came within hours now take two or three days. Mixmax: a key meeting pushed "for the second or third time." | Send the buyer something they owe a decision on; after a week of silence, go to the sponsor. |
| 5. Past the usual time in stage | Stage duration | Over 1.5× the median days for won deals in that stage (the rule these guides use); Mixmax: "twice as long as your average." | Re-check the exit criteria with the rep; if unmet, move the deal back and re-date it. |
What causes deal slippage?
Most slippage traces to how the close date was set. Split slipped value by stage, rep and push count, the three cuts ORM Technologies recommends; the pattern names the cause.
| Cause | How it shows up | Fix |
|---|---|---|
| Rep optimism | Even across reps, concentrated in mid stages; dates cluster on the period’s last day. | The buyer-event rule: no in-period date without a named buyer-side milestone. |
| An unscoped procurement, security or legal step | Concentrated in late stages, often a procurement or legal step nobody planned for (ORM Technologies). | Ask for the buyer’s paper process at proposal; tighten the exit criteria before the slip point. |
| One rep’s close-date discipline | One rep carries a disproportionate share of slipped value. | Coach on dating deals; make the second-push conversation routine in the 1:1. |
| Buyers delaying decisions rather than saying no | Days in stage and days to close rise while deals are neither won nor lost (ORM Technologies, across its customers, first half of 2026). | Push for a decision; a no today frees the rep and cleans the forecast. |
How do you reduce deal slippage? The weekly pushed-close-date report
Catch the second push and the quarter-end date while there is time to act: one weekly report and one rule about how dates are set. ORM Technologies splits the work the same way: the full slip rate once a quarter, the leading indicators every week. Twenty minutes, before the pipeline review.
- Salesforce (5 minutes). No setup needed: Salesforce adds a Stage History row "anytime a user changes the Amount, Probability, Stage, or Close Date fields on an opportunity" (Salesforce Help), and the Opportunity History report type shows that history "including stages and close date". Filter Last Modified to the past 7 days and Close Date to this period, grouped by opportunity: two close dates on one deal is the moved-twice signal. The Opportunity Field History report adds old and new values once tracking is enabled on Close Date (its Old Value and New Value filters are text, so read the pairs).
- HubSpot (5 minutes). The Deal push rate report in the sales analytics suite (Reporting > Reports, then Sales; Sales Hub Starter, Professional and Enterprise) "shows you the number of deals whose close date changed per owner, team, or deal stage", counting a deal when its close date moves out of the selected timeframe. Per deal, Actions > View property history; for the cohort, export the Close date property’s history (20 revisions per deal) and count rows per deal.
- Count pushes per deal (5 minutes). Add a "pushes this period" column to the review sheet. One push gets a 1:1 note; a second push puts the deal on this week’s list and out of commit; a last-day-of-period date with no buyer event joins it.
- Ask two questions per listed deal (5 minutes). What buyer-side event is the new date anchored to, and what changed on the deal in the last 14 days? Move the date, stage or forecast category on the answers, with one action, one owner, one date.
Close-date discipline rules (copy them into your pipeline review doc)
- An in-period close date needs a named buyer-side event.
- A pushed date needs the reason logged in the buyer’s words.
- A second push inside the period moves the deal out of commit.
- A slipped deal enters the next period at a discount sized from your own history (ORM Technologies’ rule).
- Stale deals closed out and the cohort exported to a sheet on day one.
How diffi helps
diffi keeps the push history for you. It connects to Salesforce or HubSpot (read-only; it does not write to your CRM) and records each change as a plain fact by fixed rules: a close date pushed or slipped into another quarter, a stage regressed, an amount changed and, from Salesforce, a deal with no change for 21 days. When those facts stack up it raises a deal-risk or pipeline-risk signal with the evidence behind it, and you can ask which deals changed this week or who needs attention; answers link to their sources. The quarterly slip rate stays your spreadsheet; the buyer-event question stays yours. Once you confirm, it can message the rep on Slack, book the re-qualification call, or open a tracker. Book a demo to see it on your own pipeline.
See it on your own teamHow is deal slippage different from deal risk?
A slipped deal is also riskier than its new date suggests: ORM Technologies finds "a deal that slips from one quarter to the next is less likely to close than a comparable deal that never moved." Treat a slip as a probability downgrade, and re-check the deal against the at-risk deals guide before re-forecasting it.
Frequently asked questions
What does deal slippage mean?
Deal slippage means a deal did not close in the period it was dated for, and its close date moved into a later period. It describes one deal, after the fact. The slip rate is the pipeline-level version: the share of deals, by value or by count, dated to close in a period that moved out of it.
How do you calculate deal slippage rate?
Divide the value of deals that were dated to close in the period and moved to a later period by the value of all deals dated to close in that period on day one. ORM Technologies gives the same formula and recommends measuring it in dollars and in deal count. Freeze the day-one cohort in a sheet, because the CRM record keeps only the current date.
What is a good deal slippage rate?
There is no reliable published benchmark, and most quoted averages do not say which pipelines or which definition they came from. The one sourced figure is ORM Technologies’: across its customers, about 20% of the pipeline dated to close in a quarter on day one closes inside it, and its worked example runs a 50% slip rate by value. A good rate is one lower than your own last four quarters, with no rep far above the team.
What causes deal slippage?
Mostly close dates set by rep optimism instead of a buyer-side event, then an unscoped procurement, security or legal step, loose exit criteria on the stage before the slip point, and buyers delaying a decision rather than saying no. The breakdown tells you which: slips spread evenly across reps point at stage criteria, slips concentrated in one rep point at close-date discipline, and slips concentrated in late stages point at the buyer’s paper process.
How do you reduce deal slippage?
Require a named buyer-side event before a deal carries an in-period close date, tighten the exit criteria of the stage where slips concentrate, and run a weekly pushed-close-date report so a second push is caught while there is time to act. Discount slipped deals in the next period instead of carrying them at full value, and close out stale deals before you measure.
Does a slipped deal still close later?
Less often than the new date implies. ORM Technologies reports that once a deal has slipped a quarter, its odds of closing fall below those of a similar deal whose date never moved, even when it sits in commit. Treat a slip as a probability downgrade, and size the discount from the share of last year’s slipped deals that eventually closed.
Is an at-risk deal the same as a slipped deal?
No. An at-risk deal is an open deal showing signals that it will not close as dated, a judgment made before the fact. A slipped deal is one whose close date has already moved out of the period, a measurement made after it. Risk is the leading indicator and slippage the lagging one; the at-risk deals guide covers the twelve weekly signals and this page the measurement.