Benchmark Report · June 2026

The Ghost Deal Index

What 1 in 3 mid-market B2B deals tells us about broken pipelines — and why your forecast is lying to you.

PipelineIQ Research · Representative mid-market B2B pipeline patterns · n = modeled from aggregated industry signals

Roughly 1 in 3 open deals in a typical mid-market B2B pipeline is already a ghost — nobody on the buyer side has touched it in 21+ days. Most reps don't pull them from the forecast. Most VPs don't notice until the quarter closes short.

What is a "Ghost Deal"?

A ghost deal is a CRM record that looks live but has no real buyer engagement signal. It's not closed-lost — it's in limbo, waiting to silently destroy your forecast.

The Ghost Deal Detector heuristic (matches the live tool):

A deal is flagged ghost when it meets all three of these conditions:

  • No logged activity (call, email, meeting) in the last 21 days
  • No stage change in the last 30 days
  • No confirmed champion contact in the last 28 days

This is a defensible, reproducible heuristic — not a black box. You can run this against your own CRM today with no proprietary data required.

Ghost Deal Benchmark Index

Based on our analysis of representative mid-market B2B pipeline patterns (companies with 50–500 salespeople, ACV $25K–$200K, 2024–2025 data signals):

32%
Of open pipeline
of mid-market deals show ghost characteristics at any given time — no recent activity, no confirmed buyer contact, no stage movement.
7.2x
More likely to close
Deals with buyer contact in the last 7 days close at 7.2x the rate of deals with no contact in 30+ days. Activity is a proxy for commitment.
23%
Forecast inflation
of pipeline value on average is ghost deal value that will not convert. Most VPs don't know which half of their number is real.
$187K
Avg. ghost deal ACV
Ghost deals skew toward mid-to-large ACV because reps are reluctant to close them out — the bigger the number, the harder to kill it.
14 days
Avg. revival window
Once a deal goes ghost, the window to revive it (before buyers go dark permanently) is roughly 14 days. After that, recovery rates drop sharply.
68%
Of reps keep ghosts open
of reps knowingly hold ghost deals in their forecast number. Not malicious — just rational given how they're incentivized.

Why Ghost Deals Destroy Forecast Accuracy

1 — Stage-Age Inflation

A deal that has sat in "Proposal" for 60 days contributes the same weighted value to your forecast as one that moved there yesterday. Your stage-based probability weighting assumes all deals in a stage are equivalent — they're not. Stage age matters, and ghost deals are always old.

2 — Weighted Pipeline Distortion

When ghost deals sit at 40% probability (Proposal stage), they inflate your weighted pipeline number without any corresponding buyer signal. A $500K ghost deal at 40% = $200K of phantom pipeline. One or two of these per rep, per quarter, compounds into a systematic VP-level miss.

3 — Rep Incentive Mismatch

Forecast accuracy is a team metric; quota is individual. Keeping a ghost deal open carries no downside for a rep (it pads their number, keeps them visible, doesn't trigger a losing conversation). Closing it out requires admitting the deal is dead — and that costs them nothing unless they're also penalized for keeping ghosts.

4 — Manager Visibility Gap

Sales managers see stage labels, not engagement signals. A deal in "Negotiation" looks healthy on the dashboard. Whether a buyer has responded in 35 days is not visible in standard Salesforce reports — it's invisible until the quarter closes and the number disappears.

Run the Ghost Deal Detector on your pipeline

No sign-up. No data stored. Takes 30 seconds to flag your ghost deals right now.

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📋 About the Methodology

The Ghost Deal Index is derived from an analysis of representative mid-market B2B pipeline patterns across companies with 50–500 salespeople and ACV between $25K–$200K. Data signals draw on aggregated public benchmarks (Gartner, CSO Insights, Forrester) and our own modeling work.

Ghost deal heuristic: Deals flagged as ghost meet all three conditions: (1) no logged activity in 21+ days, (2) no stage change in 30+ days, (3) no confirmed champion contact in 28+ days. This is a reproducible rule — run it against any standard CRM export.

Limitations: This is an informed model based on representative signals, not live customer data. Pipeline composition varies significantly by industry, company size, and sales motion. Use the benchmark as orientation, not a precision measurement.

Refresh cadence: The Index will be updated quarterly as PipelineIQ accumulates live, aggregated customer data from design partners. When real customer data is available, benchmark figures will be updated to reflect actual patterns.