# Wine Email Campaign Optimizer AI Agent Connect

> Optimize wine email engagement through data-driven send times, A/B test priorities, and segment targeting.

## Overview
- **Category:** marketing
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_hTX2nLsQ7JsKX3AOeXwsRv8xggyJZ8TeYpZb87RA/ai-agent-connect
- **Tags:** email-marketing, wine, optimization, segmentation, deliverability

## Description

This MCP server provides an intelligence layer for wine marketing professionals to maximize email performance. By analyzing engagement metrics and segment data, it provides actionable insights through tools like `get_optimal_send_times` to find the best delivery windows, `prioritize_ab_tests` to identify high-impact variables, `recommend_segment_targeting` for precise audience selection, and `analyze_list_health` to maintain deliverability. It connects your AI agents directly to your campaign performance data via Vinkius Edge.

## Tools

### get_optimal_send_times
Determines the best time of day and day of the week to send emails to specific audience segments

### prioritize_ab_tests
Identifies which email elements should be tested next to maximize campaign impact

### recommend_segment_targeting
Suggests which customer segments should receive specific campaign types to increase conversions

### analyze_list_health
Evaluates the quality of the email list to prevent deliverability issues

## Prompt Examples

**Prompt:** 
```
What is the best time to send an email to my 'High Engagement' segment?
```

**Response:** 
```
The recommended window for the High Engagement segment is Tuesday between 10:00 AM and 12:00 PM with a confidence score of 0.85.
```

**Prompt:** 
```
Which A/B test should I prioritize for my current campaign?
```

**Response:** 
```
You should prioritize testing 'subject_line' as it has the highest expected lift for your current metrics.
```

**Prompt:** 
```
Is my email list healthy?
```

**Response:** 
```
Your list health score is 72. Identified risks include a high bounce rate and declining engagement in the last 30 days.
```

## Frequently Asked Questions

**How does the tool determine the best time to send emails?**
The `get_optimal_send_times` tool analyzes historical engagement density within specific audience segments to identify the most effective time windows.

**Can I use this to improve my email deliverability?**
Yes, you can use `analyze_list_health` to evaluate your list quality and identify risks like high bounce rates or declining engagement.

**How do I know which A/B tests to run?**
The `prioritize_ab_tests` tool ranks attributes like subject lines or CTA colors based on their potential to increase campaign lift.