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What's the right way to clean up a pipeline that has 60% deals older than 90 days?

5/6/2024

Brief

Stale pipeline chokes forecasting accuracy. Clean by requalifying deals against current priorities, archiving non-fits, and resetting engagement on salvageable opps.

Detail

A 60% stale rate signals a qualification problem, not a pipeline problem. Use this frame:

Step 1: Segment by recency

Step 2: Requalify against MEDDPICC

Apply Force Management MEDDPICC gates:

If 2+ missing → archive.

Step 3: Archive & reset

Step 4: Prevent recurrence

Tools

ToolUse
ClariForecasting + stale deal auto-flag
SalesforceWorkflow to alert AE at 60/90 days
GongAnalyze why deals stall
PavilionTrain on requalification
flowchart TD A["Pipeline Audit<br/>60% Stale Rate"] --> B["Segment by Age<br/>90-180 / 180+ days"] B --> C{"Meets MEDDPICC?"} C -->|No: 2+ missing| D["Archive to<br/>Closed-Lost"] C -->|Yes: 1-2 weak| E["Downstage +<br/>Re-engage Plan"] C -->|Yes: Strong| F["Keep in Pipe<br/>Priority Touch"] D --> G["Install Gates"] E --> G F --> G G --> H["Clari 60-day Flag"] G --> I["Salesforce Workflow"] G --> J["Gong Review<br/>Stall Analysis"] H --> K["Prevent Recurrence<br/>Target: 10-15% Stale"] I --> K J --> K

Why this works: Stale deals are usually bad fits with lost momentum. Requalifying creates honest pipeline; archiving removes forecast noise; gates prevent backslide.

TAGS: pipeline-hygiene,qualification,stale-deals,MEDDPICC,forecasting,Salesforce,Clari

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Sources cited
clari.comhttps://www.clari.com/blog/sales-pipeline-management/gong.iohttps://www.gong.io/blog/sales-pipeline/gartner.comhttps://www.gartner.com/en/sales/researchbvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2026news.crunchbase.comhttps://news.crunchbase.com/forcemanagement.comhttps://forcemanagement.com/meddpicc/
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Free CRM · Revenue IntelligenceAudit pipeline, score reps, ship the fix
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