# Email Performance MCP MCP

> Email Marketing Performance Calculator measures your campaign success across four key areas: delivery rates, click-through efficiency, revenue generated, and industry standing. You calculate performance metrics to benchmark against standards for SaaS, eCommerce, or B2B sectors.

## Overview
- **Category:** productivity
- **Price:** Free
- **Tags:** email, marketing, metrics, roi, benchmarking, ecommerce, saas

## Description

This MCP lets you quantify exactly how well your email campaigns perform. Instead of guessing at ROI, you input simple campaign data—like total sends, opens, and clicks—and get precise metric breakdowns. It calculates the actual delivery rate, measures conversion efficiency, and figures out revenue per message sent. Better yet, it benchmarks your results against industry standards for everything from SaaS to Media. You can use this MCP right inside Vinkius, connecting your preferred AI client to run complex calculations instantly. This gives you clear data points you can trust immediately.

## Tools

### get_industry_benchmark
Retrieves standard performance figures for various industries, such as eCommerce or SaaS.

### calculate_delivery_metrics
Calculates the percentage of emails that successfully reach inboxes and how many were opened.

### calculate_engagement_metrics
Calculates metrics like click-through rates and conversion efficiency based on user interaction data.

### calculate_revenue_metrics
Calculates the financial return from an email campaign, determining revenue per message sent.

## Prompt Examples

**Prompt:** 
```
Calculate my delivery metrics: 10000 sent, 9500 delivered, 2500 opened.
```

**Response:** 
```
The `calculate_delivery_metrics` tool would return a delivery rate of 95% and an open rate of 26.32%.
```

**Prompt:** 
```
What is the benchmark for conversionRate in eCommerce?
```

**Response:** 
```
The `get_industry_benchmark` tool returns a standard conversion rate of 2.5% for the eCommerce industry.
```

**Prompt:** 
```
Calculate engagement: 2500 opened, 400 clicks, 100 conversions, 9500 delivered.
```

**Response:** 
```
The `calculate_engagement_metrics` tool would return a CTOR of 16% and a conversion rate of 1.05%.
```

## Capabilities

### Benchmark Performance
Compares your campaign metrics against industry standards for specific business types.

### Determine Delivery Health
Calculates the percentage of emails that successfully reach the intended inbox and how many people actually opened them.

### Measure User Interaction
Analyzes engagement data, giving you metrics like click-through rates (CTOR) and conversion efficiency from your content.

### Calculate Direct Revenue Impact
Determines the total revenue generated by a campaign and calculates the value per email sent.

## Use Cases

### The Campaign Retrospective
A marketing manager needs to prove the value of last quarter's campaign. They feed the agent all open, click, and sale numbers. The system runs `calculate_delivery_metrics`, then uses that data in `calculate_engagement_metrics` before finalizing the ROI using `calculate_revenue_metrics`. This provides a complete, single-source narrative for leadership.

### New Market Entry Analysis
A startup is launching into the B2B space. They need to know if their current conversion rate is competitive. The agent first runs `get_industry_benchmark` for B/B2B, giving them a target goal. Then they run `calculate_engagement_metrics` to see how close they are.

### Troubleshooting Low Opens
A campaign has high clicks but low opens. The analyst runs `calculate_delivery_metrics`. If the open rate is poor, it points to a subject line or deliverability issue, allowing them to fix the problem upstream.

### Budget Allocation Review
The finance team needs proof that marketing spend was justified. They feed all sales data into `calculate_revenue_metrics`. The result allows them to instantly tie email activity directly to bottom-line revenue, justifying the next quarter's budget.

## Benefits

- Stop guessing your campaign's worth. Use `calculate_revenue_metrics` to get a precise, auditable dollar figure for every email blast.
- Benchmark instantly: Don't compare yourself to vague internal goals. The `get_industry_benchmark` tool gives you real standards for SaaS and Media.
- See if your content is working. By running `calculate_engagement_metrics`, you pinpoint exactly where users are clicking—and why they aren't converting.
- Track the basics first: Use `calculate_delivery_metrics` to ensure your emails even reach the inbox before worrying about clicks or sales.
- Reduce reporting time dramatically. Instead of juggling four separate spreadsheets, all metrics—from delivery rates to final revenue—are calculated in one go.

## How It Works

The bottom line is you get verifiable campaign health scores and financial impact numbers instantly.

1. You provide your raw data—the numbers for sends, opens, clicks, or sales figures—to your AI client.
2. The MCP runs the specialized calculations. It first checks performance metrics (delivery, engagement) and then uses that context to calculate final outcomes (revenue).
3. Your agent delivers a clean report showing specific rates and comparing your results against known industry averages.

## Frequently Asked Questions

**How does calculate_delivery_metrics work?**
It takes the total sent count, delivered count, and open count to give you a precise delivery rate and open rate. This tells you if your emails are even making it into the inbox successfully.

**Can I find out my revenue using calculate_revenue_metrics?**
Yes. You provide the total sends and the resulting sales figures, and the MCP calculates the average revenue generated per email sent, which is a key ROI metric.

**What if my industry isn't listed for get_industry_benchmark?**
If your specific niche isn't listed, you can still use the tool to benchmark against the closest applicable category (e.g., using 'Media' standards if you are in a small publishing house).

**Is calculate_engagement_metrics different from just clicking links?**
It's more comprehensive. It goes beyond simple clicks, providing metrics like CTOR (Click-to-Open Rate) and overall conversion efficiency to gauge real user interest.

**What happens if I run `calculate_delivery_metrics` with inconsistent data inputs?**
The tool requires clean, corresponding numbers. If your input doesn't match the expected format or count, it returns a specific error message. This message tells you exactly which field needs correction before it runs.

**Can I use `get_industry_benchmark` if my industry isn't listed in the standard categories?**
You can still run the tool by providing a detailed description of your sector. The MCP will map your niche business to the closest general category and provide the most relevant benchmark estimate.

**Are there rate limits when running `calculate_engagement_metrics`?**
Vinkius manages usage across all clients, so high-volume requests are queued. If you exceed the current limit, the system will notify your agent of the estimated wait time for processing.

**What credentials does `calculate_revenue_metrics` need to access my data?**
You connect via standard OAuth through your AI client. The MCP only reads the specific metrics needed for revenue calculation and never stores your login details or raw email content.

**What metrics can I calculate?**
You can calculate delivery rates, open rates, CTOR (Click-to-Open Rate), conversion rates, and revenue per email sent.

**How do I compare my results to others?**
Use the `get_industry_benchmark` tool to retrieve standard performance targets for SaaS, eCommerce, Media, and B2B industries.

**Does this tool support revenue analysis?**
Yes, the `calculate_revenue_metrics` tool allows you to calculate the average revenue generated for every email sent in your campaign.