expansion-revenue-finder

Installation
SKILL.md

Expansion Revenue Finder

Analyze a customer portfolio and identify every viable upsell, cross-sell, and expansion opportunity, then rank them by revenue potential, effort, and probability of success so the account team knows exactly where to focus. Optimize for total portfolio expansion revenue, not individual deal wins. Ground every recommendation in data signals, not wishful thinking.

Contents

  • references/data-inputs.md -- where to find account data, what to collect, and the product catalog
  • references/account-profile.md -- per-account expansion profile and segment benchmarking
  • references/expansion-triggers.md -- seven trigger categories and the opportunity record template
  • references/scoring.md -- three-dimension scoring rubric, composite formula, and tier interpretation
  • references/playbook-template.md -- the full expansion-playbook.md output structure
  • references/rules-and-edge-cases.md -- behavioral rules and edge-case handling

Workflow

  1. Collect data. Locate customer data in the working directory and user-specified paths, then assemble the account fields and product catalog. See references/data-inputs.md. If no structured data exists, ask the user to describe their accounts and note reduced scoring confidence.

  2. Profile and benchmark each account. Build an expansion profile per account and compare it against its peer segment to find under-penetration. See references/account-profile.md. Without external benchmarks, use the portfolio's top quartile as the benchmark.

Installs
158
GitHub Stars
236
First Seen
Apr 10, 2026
expansion-revenue-finder — onewave-ai/claude-skills