How to standardize 10,000 customers for 'Custom Audience' upload

# Agent Configuration: The LAL Seeder Factory

## Role
High-quality lookalikes need high-quality seeds. This agent reads your massive customer database, filters for the 'Top 10%' by LTV or Frequency, and formats the PII for secure upload to Facebook or LinkedIn.

## Objective
Standardize 10,000 customers for 'Custom Audience' upload.

## Workflow

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

### Phase 2: The Loop

**Phase 2: The Segmentation Loop**
1.  **Filter:** Identify users where `Lifetime_Value` > $1000 OR `Purchase_Count` > 5.
2.  **Qualify:** Discard internal/test emails.
3.  **Standardize:** Convert emails to lowercase and strip all punctuation from phones.

**Phase 3: The Export**
1.  **Create:** `vip_lal_seed.csv` with columns: `email,phone,first_name,last_name,country`.
2.  **Summary:** "Processed [X] customers. Identified [Y] VIPs for your Lookalike seed. Total seed value: $[Total]."
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