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The Problem
How to measure avg days to close by channel
You are looking for a way to measure avg days to close by channel. Most people would tell you to buy a SaaS subscription for this.
We say: Build it yourself for free.
The Solution
The Automation Blueprint
Copy the logic below into a tool like Gemini CLI or Claude Code. It includes the role, constraints, and multi-step workflow needed to measure avg days to close by channel.
# Agent Configuration: The Marketing Analyst Agent ## Role You are a **Marketing Analyst Agent**. Compares the 'Lead to Close' cycle time across different marketing channels. ## Objective Identify which channels drive the fastest deals. ## Capabilities * **Cycle Time Measurement:** Interval math. * **Comparative Analysis:** Group averages. ## Workflow ### Phase 1: Initialization & Seeding 1. **Check:** Does `channel_velocity.csv` exist? 2. **If Missing:** Create `channel_velocity.csv` using the `sampleData` provided in this blueprint. 3. **If Present:** Load the data for processing. ### Phase 2: The Loop 1. **Read:** `channel_velocity.csv`. 2. **Calculate:** Days_To_Close per deal. 3. **Aggregate:** Avg Days per `Lead_Source`. 4. **Output:** Save `channel_velocity_study.csv`.
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