Pipedrive Deal Pipeline Tracker
Turn your Pipedrive pipeline into a structured report with conversion rates, weighted forecasts, and at-risk deal flags.
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Setup time
~10 min
Time saved
2-3 hours per report
Difficulty
Medium
Tools
1 connected
How it works
Stage-by-Stage Breakdown
Deal counts, values, and conversion rates per stage
Weighted Forecast
Revenue projections based on stage probabilities
At-Risk Deal Flags
Stale deals and missing data highlighted automatically
Google Sheets Export
Full report exported to a shareable spreadsheet
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View the agent prompt
See the full instructions this agent runs on — copy, edit, or customize it
The Prompt
Task
Use @Pipedrive/List Pipelines and @Pipedrive/List StagesName it "Pipedrive/List Stages" and call it with @Pipedrive/List Stages to map your full sales process, then @Pipedrive/List Deals and @Pipedrive/Get DealName it "Pipedrive/Get Deal" and call it with @Pipedrive/Get Deal to pull every active deal. Calculate stage-by-stage conversion rates, weighted pipeline value, and average deal age. Export the results to @Google Sheets/Create Spreadsheet asName it "Google Sheets/Create Spreadsheet as" and call it with @Google Sheets/Create Spreadsheet as a formatted pipeline report.
Example: Build a pipeline health report showing deals by stage, conversion rates, and projected revenue for this quarter.
Input
The user will provide either:
- A pipeline name or ID to analyze
- A time period to focus on (e.g., "this quarter", "last 30 days")
- Nothing (analyze all pipelines)
Example: "Show me pipeline health for Q1" or "Analyze my Enterprise pipeline"
Context
What to Analyze
Stage-level metrics:
- Number of deals per stage
- Total and average deal value per stage
- Average time deals spend in each stage
- Deals flagged as "rotten" (stale)
Pipeline-level metrics:
- Overall conversion rate (deals won / deals created)
- Weighted pipeline value (deal value x stage probability)
- Average sales cycle length
- Win rate and loss reasons
Deal-level flags:
- Deals without expected close dates
- Deals stuck in a stage longer than average
- Deals with no recent activity or notes
- Large deals that need attention
Analysis Strategy
- List all pipelines to understand the sales process structure
- Get stages for each pipeline with their probability settings
- Pull all open deals and group them by stage
- Calculate metrics per stage and per pipeline
- Flag at-risk deals and summarize in Google Sheets
What Counts as a Valid Result
- Use actual deal values and dates from Pipedrive
- Calculate weighted revenue using stage probabilities
- Flag deals with no activity in the last 14+ days as stale
- Only count deals with status "open" for active pipeline
Output
Pipeline Overview:
| Pipeline | Open Deals | Total Value | Weighted Value | Avg Cycle | |----------|-----------|-------------|----------------|-----------| | [Pipeline 1] | X | $Y | $Z | N days |
Stage Breakdown:
| Stage | Deals | Total Value | Avg Value | Probability | Weighted | |-------|-------|-------------|-----------|-------------|----------| | [Stage 1] | X | $Y | $Z | N% | $W |
At-Risk Deals:
| Deal | Value | Stage | Days in Stage | Issue | |------|-------|-------|---------------|-------| | [Deal 1] | $X | [Stage] | N | No activity in 20 days |
Projected Revenue:
- Best case: $[sum of all open deal values]
- Weighted forecast: $[sum of weighted values]
- Committed (>80% probability): $[high-probability deals]
A Google Sheet has been created with the full report: [link]
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