# Sales Pipeline Simulator: Close the Deal Before the Quarter Ends

> A game: steer one deal to Closed Won before the quarter ends. 36% of B2B deals slip past their close date instead, mostly for admin reasons. Play it, then race a colleague for the earliest close.

- Source: https://spiich.ai/articles/sales-pipeline-simulator
- Author: Dennis Hadzialic
- Category: Research & Insights
- Published: 2026-10-03
- Read time: 7 min read

This is a game. One deal, one quarter, four stages to Closed Won. Steer with the arrow keys, or tap either side of the road on a phone. Everyone gets the same course today, and when the quarter is over you can send your run to a colleague and race them.

_Interactive game: [use it on the page](https://spiich.ai/articles/sales-pipeline-simulator)._

## Why a game about slipping deals

A deal that dies is easy to explain. A deal that slips is not, and it is far more common. In Ebsta and Pavilion's 2025 benchmark, **36% of deals slipped past their close date**. In the edition before it, the figure was 44%.

Slipping is the default state of a pipeline. Nothing dramatic happens. A champion goes quiet, a follow-up never goes out, a next step never reaches the CRM, and the close date moves one more time.

That is hard to feel in a table and easy to feel at speed, so the game makes it physical.

- **Every barrier is a real reason deals stop moving**, placed in the stage where it happens: a no-show in discovery, a follow-up that never went out after the demo, a stale record at proposal, legal review and a budget freeze in negotiation.
- **Hitting one does not end the run.** It pushes the deal back and drains its momentum, because that is what a stall does. The only thing that ends a run is the quarter, and a deal still on the road on day 90 has slipped.
- **Signals are the opposite**: a next step booked, a follow-up out the same day, the decision maker joining. Each one builds momentum, and they are almost never in the lane you are already in.

## Why deals slip: mostly admin

A deal slips when nothing happens to it. That sounds obvious, and it is the whole mechanism.

The moment a deal is most likely to move is the hour after a conversation, while the context is fresh and the next step is obvious to everyone who was on the call. What usually happens in that hour is the next call.

Two pieces of admin decide most of what follows. The first is the follow-up. A good one takes real time to write, because it has to play back what the buyer said and propose what happens next, so it moves to the end of the day, then to tomorrow, and by then the buyer has moved on. The second is the next step. If it never makes it into the CRM, nobody chases it: not the rep, who is carrying a full pipeline of other deals, and not the manager, who can only see what was logged.

> Nobody decides not to follow up. The follow-up loses to the next call.

None of that is a selling problem. The rep could close the deal. It slips because something that was agreed on a call was never written down anywhere that would bring it back.

Ebsta's data points the same way. In the 2025 report, **76% of the deals held by B-players lacked a critical event**: a reason for the buyer to act this quarter rather than next. B-players is Ebsta's term for every seller outside the top performers. In the same report's survey of more than 2,000 CROs and sales leaders, automating manual work was the most cited use for AI, at 88%.

Other benchmarks line up with it: about 27 activities per quality conversation at the top of the funnel ([The Bridge Group](https://www.bridgegroupinc.com/research/2025-sdr-models-metrics-report-the-bridge-group), 351 companies), a 14% no-show rate on meetings that do get booked ([Cognism](https://www.cognism.com/reports/state-of-outbound-2026), 39,679 meetings booked by its own outbound teams), and 48% of AEs hitting an annual number ([The Bridge Group](https://blog.bridgegroupinc.com/2026-ae-compensation-quota-ai-metrics), 158 companies). Every one of those is a place where a deal quietly stops moving and nobody logs why.

## How big is the gap between top sellers and the rest

Large, and growing. Ebsta measures it as a velocity delta: revenue generated per day, built from how many deals a seller works, what they are worth, how often they are won and how long they take. In the 2025 report, **top performers generated 11 times more revenue per day** than everyone else, up from 8.9 times in the edition before.

| Where the 11x comes from | Top performers against the rest |
|---|---|
| Deals worked | 2.64 times as many |
| Average deal value | 76% higher |
| Win rate | 43% higher |
| Sales cycle | 42% shorter |

The same report found that **14% of sellers generated 80% of revenue**.

Some of that gap is skill. Ebsta scores top performers ahead on every discovery skill it measures, and one of those skills is, literally, call outcome and next steps. We think a good part of the rest is something less glamorous: follow-through. Top performers carry more than two and a half times as many deals and still close them faster, which only works if very little falls between conversations. That is a hypothesis, not a measurement, but it is the one the game is built on.

## Where the numbers come from, and how old they are

Ebsta and Pavilion's GTM Benchmarks Report 2025 analysed 655,000 opportunities worth $48 billion across 387 companies, plus more than 240,000 minutes of discovery calls and a survey of over 2,000 CROs and sales leaders. It was published in **February 2025** and covers **2024**. The edition before it covered 2023 across 4.2 million opportunities from 530 companies.

That is worth stating plainly rather than burying, because it is exactly the test we set out in [our fact check of B2B sales statistics](https://spiich.ai/articles/sales-statistics-fact-check): a number needs a retrievable source, a stated sample, and a stated date. This one has all three. A 2026 edition exists, but it sits behind a registration form, so this is the most recent one whose data anyone can download and check.

| What it measured | 2025 report | Edition before |
|---|---|---|
| Deals that slipped past their close date | 36% | 44% |
| Sellers who missed quota | 78% | 69% |
| Revenue per day, top performers against the rest | 11x | 8.9x |
| Sellers producing most of the revenue | 14% produced 80% | 17% produced 81% |
| Win rates, change on the year | Down 10% | Down 18% |
| Average deal values, change on the year | Up 54% | Down 21% |
| Sales cycles, change on the year | 9% shorter | 16% longer |

Read the two columns together. Fewer deals slipped, more sellers missed quota, and the gap between the best sellers and everyone else widened. Our reading is that the market got better at keeping deals on schedule and the sellers who were already good at it pulled further ahead. That is an inference from several numbers moving at once, not something the report measures directly.

> **36%** of deals slipped past their close date
>
> **78%** of sellers missed quota
>
> **11x** revenue per day, top performers against the rest

Those three come from the same report, which matters. They are one dataset describing one market, not three numbers borrowed from three places and stacked to look like a trend.

## What the game is actually teaching

Three things.

1. **A stall costs time, not the deal.** Nothing on the road can kill it. Each stall pushes it back and drains its momentum while the quarter keeps running, which is what slipping is: a deal that was not lost, and did not close in time either.
2. **Speed makes the same obstacle harder.** A deal with momentum reaches each barrier sooner, and the later stages close more of the road. You get less time to see the path exactly where there is less of it.
3. **The signals are off the safe line.** The things that move deals forward are almost never in the lane you were already in. Play it safe and skip them, and the same deal closes about two weeks later.

That last one is the argument. Reps do not miss the signal because they cannot recognise it. They miss it because taking it costs a swerve, and at speed the safe lane is the one you are already in.

## Where Spiich fits

Spiich is built for the admin half of this, so it is worth being exact about which half that is.

After a meeting, Spiich drafts the follow-up from what was actually said, creates the next step as a task, and writes the update to the CRM, the hour the meeting ends. The rep reviews the draft and sends it; nothing reaches a buyer unless a person sends it. That takes two of the barriers in the game off the road: the follow-up that never went out, and the next step that never reached the CRM.

It does not take the rest. A champion who goes quiet, a legal review, a budget freeze: those are people and calendars, and no software moves them. Recovered time does not turn into selling time on its own, either. What changes is how many deals slip for reasons nobody chose.

### What percentage of B2B deals slip?

36% of deals slipped past their close date in Ebsta and Pavilion's GTM Benchmarks Report 2025, which analysed 655,000 opportunities across 387 companies and covers 2024. The edition before it, covering 2023, put the figure at 44%.

### Why do B2B deals stall?

Most stalling is the absence of an event rather than an objection: no next step set, a follow-up that was never sent while the context was fresh, a champion who went quiet, or a record too stale for anyone to see the deal had stopped moving. Ebsta found that 76% of deals held by sellers outside the top performers lacked a critical event, a reason for the buyer to act this quarter.

### How big is the gap between top sales reps and average ones?

In Ebsta and Pavilion's 2025 report, top performers generated 11 times more revenue per day than the rest. They worked 2.64 times as many deals, at 76% higher deal values and 43% higher win rates, with sales cycles 42% shorter. 14% of sellers generated 80% of revenue.

### What percentage of sales reps miss quota?

78% of sellers missed quota in Ebsta and Pavilion's 2025 report, up from 69% in the edition before. Separately, The Bridge Group found 48% of B2B SaaS account executives hit their annual quota across 158 companies in June 2026.

### Is pipeline coverage of 3x enough?

There is no study behind the 3x rule. Coverage is 1 divided by your win rate, so 3x assumes you win a third of what you work. At the 19% new-logo win rate in Ebsta and Pavilion's 2025 report, the same arithmetic asks for more than 5x. Use your own win rate.

### How do two-player and racing a colleague work?

Two players on one keyboard get a split screen, one half each, on the same course. To race someone remotely, finish a run and send the link: your lane changes are packed into it, and opening it replays your run on the same course on their screen. The result is worked out from the replay, so a link cannot claim a better close than its run produced. Nothing is stored on a server; the entire run travels in the URL.

---

*Benchmark figures from Ebsta and Pavilion's GTM Benchmarks Report 2025, read from the published PDF: 655,000 opportunities worth $48bn across 387 companies, covering 2024, compared with the 2024 edition (4.2 million opportunities, 530 companies, covering 2023). The obstacle set in the game is an editorial choice informed by that data, not a ranked finding from it. Checked on 2 October 2026.*

---

### Most slippage is a missed next step

Spiich drafts the follow-up from the call, creates the next step and updates the CRM the hour a meeting ends, ready for you to review and send. What is left to slip is what admin could never have fixed.

[See how Spiich works](https://spiich.ai)

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