MCP For Claude Marketplace
Enterprise Average Deal Size Analytics

Enterprise Average Deal Size Analytics MCP Connector for Claude

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Analyze average deal size, segment breakdowns, and upsell opportunities.

5 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deep analytical insights into sales performance by calculating Average Deal Size (ADS) across various dimensions. Use get_aggregate_ads to find the total mean deal value, get_segment_ads_analysis to compare performance between SMB, Mid-Market, and Enterprise tiers, and get_product_mix_impact to see how product distribution affects revenue. It also identifies expansion potential via get_upsell_opportunity_report and measures pricing pressure with get_discount_sensitivity_analysis.

sales-opsrevenuedeal-sizesegmentationupsell

5 tools expose this connector's capabilities to your AI agent.

get_product_mix_impact

Evaluates how the distribution of different products influences the total ADS

get_segment_ads_analysis

Breaks down the average deal size by specific customer segments

get_aggregate_ads

Calculates the total average deal size across all provided deal data

get_discount_sensitivity_analysis

Measures how heavily discounts are impacting the realized ADS

get_upsell_opportunity_report

Identifies specific accounts or deal types where the current value is significantly lower than the segment potential

See how to talk to your AI agent using Enterprise Average Deal Size Analytics.

What is our current average deal size across all closed deals?

The current average deal size is $45,000 across 120 closed deals.

Show me the ADS breakdown by customer segment.

The segment breakdown is: Enterprise: $120,000 (15 deals), Mid-Market: $45,000 (50 deals), and SMB: $12,000 (55 deals).

Are there any high-priority upsell opportunities in our pilot accounts?

Yes, there are 3 high-priority opportunities from pilot conversions with a total potential upsell value of $85,000.

You can use the `get_aggregate_ads` tool with the `isNormalized` parameter set to true to convert multi-year contract values into their annual equivalent for accurate comparison.

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