Marketplace Ad Pros vs Perpetua (2026)

Last updated: February 25, 2026

Short version

These two tools solve the same problem differently. MAP gives you AI-powered analysis through Claude and ChatGPT via its MCP server, sends daily recommendations, and tracks experiments -- but it never touches your campaigns. Perpetua automates bid optimization directly, adjusting your bids based on ACOS and revenue goals without you stepping in. One is about better decisions with manual control. The other is about automated execution.

Side-by-side

When MAP makes more sense

• Your team already uses Claude or ChatGPT and you want ad data in those tools
• You prefer reviewing recommendations before anything changes
• You run both Amazon and Facebook ads and want one data layer for both
• You want to track specific changes (bid adjustments, keyword additions) and see whether they actually worked
• You're watching costs and want to start at $10/week for data access

When Perpetua makes more sense

• You want bids adjusting automatically without logging in every day
• You have stable ACOS targets and want an algorithm working toward them continuously
• You'd rather set goals and check results than review daily recommendations
• You're comfortable giving a tool write access to your campaigns
• You're already in Ascential's ecosystem

Pricing

MAP starts at $10/week for AI Connect (data + MCP access). Optimization plans go from $149/month (Launch, up to $20k spend) to $999/month (Dominion, up to $500k spend), billed annually. Enterprise pricing is available.

Perpetua starts around $250/month plus a percentage of managed ad spend. Custom pricing for larger accounts. There's no standalone data-access tier.

Bottom line

These aren't really competing tools. MAP is for analysis and decision support. Perpetua is for automated bid execution. Some agencies use both -- Perpetua handles the bidding and MAP handles the "why is performance shifting" conversations in Claude.

Sources

1. Amazon Ads Partner Directory - Marketplace Ad Pros
2. Model Context Protocol Documentation

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