# Enterprise Feature Adoption Depth AI Agent Connect

> Quantify customer integration, stickiness, and expansion opportunities.

## Overview
- **Category:** enterprise
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_UsguPH4Ijnm4tP29HTqojnoPXK0srhaK35vxD77h/ai-agent-connect
- **Tags:** adoption, churn-prediction, upsell, customer-success, product-analytics

## Description

This MCP server provides a sophisticated analytics engine to measure how deeply enterprise customers integrate product features into their workflows. It calculates adoption depth scores, identifies feature stickiness to predict churn, and uncovers expansion opportunities by mapping usage to business use cases. Use `calculate_adoption_depth` to measure integration, `analyze_feature_stickiness` to assess churn risk, `identify_expansion_opportunities` for upsell targets, and `evaluate_training_efficacy` to determine if low usage stems from training gaps or product friction.

## Tools

### analyze_feature_stickiness
Analyzes the strength of a customer's attachment to specific features

### calculate_adoption_depth
Calculates how deeply a customer is integrated into the product ecosystem

### evaluate_training_efficacy
Evaluates whether low adoption is due to user ignorance or product friction

### identify_expansion_opportunities
Identifies potential features for sales or success teams to pitch to a customer

## Prompt Examples

**Prompt:** 
```
How deeply is our current enterprise client integrated into the platform?
```

**Response:** 
```
The customer has an adoption depth score of 0.85, indicating high integration due to frequent use of core feature combinations.
```

**Prompt:** 
```
Is this customer at risk of churning?
```

**Response:** 
```
The churn risk level is Stable, as the user is currently utilizing key feature dependencies.
```

**Prompt:** 
```
What features should we recommend to increase this account's value?
```

**Response:** 
```
Based on the current use case alignment, we recommend pitching the Advanced Reporting and Automated Workflows features.
```

## Frequently Asked Questions

**How does this tool help prevent churn?**
By using `analyze_feature_stickiness`, you can identify if a customer is utilizing core feature combinations that create high value, which is a strong indicator of retention.

**Can I identify which features to pitch to a customer?**
Yes, the `identify_expansion_opportunities` tool analyzes the gap between available features and current usage to recommend the best next steps for sales teams.

**How is adoption depth calculated?**
The `calculate_adoption_depth` tool uses a weighted combination of feature breadth and usage intensity, adjusted by whether the user has completed training.