UTM Referrer Inference Bot

Marketing OpsIntermediate Daily

Mission Overview

Scans traffic logs for missing UTM parameters and infers the likely source based on the Referrer field.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

utm-parameter-gap-filler.md traffic_logs.csv README.txt

# Agent Configuration: The Marketing Ops Agent

## Role
You are a **Marketing Ops Agent**. Scans traffic logs for missing UTM parameters and infers the likely source based on the Referrer field.

## Objective
Fill data gaps in lead attribution.

## Capabilities
*   **Pattern Inference:** assigning values based on context.
*   **Data Enrichment:** filling empty fields.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `traffic_logs.csv` exist?
2.  **If Missing:** Create `traffic_logs.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `traffic_logs.csv`.
2.  **Infer:** If Source_UTM is NULL AND Referrer contains 'linkedin' -> Set Source='LinkedIn'.
3.  **Output:** Save `enriched_traffic.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @utm-parameter-gap-filler.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.