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Retail/Marketing · Index Paid

Wallet-Share Erosion

Identify high-value customers at risk of churning to specific competitors to enable targeted retention campaigns and recover lost revenue.

Refresh
daily
History
single vintage
Plan
Paid
Stable

📈 Live history is activating for this object — the automated backfill is in progress.

⌁ mcp.call("adw-203") v1.0
Forward outlook

Prediction

Horizon
Recommended use
Identify high-value customers at risk of churning to specific competitors to enable targeted retention campaigns and recover lost revenue.
Methodology

How it's built

Inputs include historical transaction frequency, average basket size, and competitor price indices; apply a churn probability model weighted by price sensitivity to output an erosion risk score.

Internal loyalty program transaction logsthird-party panel data (e.g.NielsenIRI)

Version 1.0 · validated to beat a naive baseline · benchmark: needs partner data

Live response

The object an agent receives

One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-203.

GET /v1/intelligence/adw-203
{}
IOM schema

The agent-callable contract

Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.

  • product_id
  • entity
  • score
  • trend
  • confidence
  • top_drivers
  • prediction_horizon
  • recommended_use
  • methodology_version
  • freshness
  • coverage
  • source_lineage
  • allowed_use
MCP tool: adw.adw_203
Access options

Consume it your way

  • Dashboard

    Read the score + drivers in the console.

  • REST API

    /v1/intelligence/adw-203

  • MCP tool

    adw.adw_203

  • Marketplace

    Discoverable by any MCP agent via the MCP registry.

  • White-label

    Embed under your own brand (Platinum).

Plan requirement

Depth scales with the plan

  • Free Sample object — current score only
  • Gold Full drivers + history + confidence
  • Platinum White-label + bulk + SLA
Compare plans →

Call ADW-203 in one request.