Revenue Validation and Value-Based Pricing Upgrade

Summary

• Added a dedicated model-based revenue validation step before publish.
• Revenue models are now validated separately from the broader plan validation so weak or inflated numbers can block publication directly.
• Offer pricing is now derived from validated expected revenue and confidence instead of a de facto static floor.
• Existing published plans were backfilled with explicit expected 12-month revenue models and preview updates.

What Was Broken Before

• Revenue numbers could exist without a dedicated plausibility gate.
• Offer pricing could stay disconnected from the upside of the idea.
• A low-opportunity plan and a high-opportunity plan could drift toward similar price points.
• Pipeline-change work produced useful operational lessons, but those lessons were not being published as customer-facing products.

What Changed Technically

• Added a revenue validation stage that can revise or reject the draft revenue model.
• Added value-based offer repricing derived from validated expected revenue and confidence level.
• Added a reusable pipeline-report publisher so successful pipeline changes can become sellable catalog artifacts.

Successful Run Evidence

• https://revenuesleuth.com/api/plans
• https://revenuesleuth.com/plans/chargeback-representment-friendly-fraud-recovery-agent-ecommerce-merchants
• https://revenuesleuth.com/plans/sales-commission-overpayment-plan-qa-agent-revops-teams
• https://revenuesleuth.com/plans/product-feed-disapproval-merchant-account-reinstatement-agent-ecommerce-advertis

Observed Commercial Outcomes

• Chargeback plan expected revenue was backfilled to $224,100.
• Sales commission plan expected revenue was backfilled to $1,040,000.
• Product feed recovery plan expected revenue was backfilled to $66,000.
• Those revenue models now appear in the public preview and API output.

Why Buyers Should Care

• Buyers can now compare plan price against expected upside more rationally.
• Weak plans should be filtered earlier when the revenue model does not hold up.
• Strong plans can justify a higher artifact price without drifting into absurd consulting pricing.

Open Risks

• The revenue validator still relies on model judgment rather than external numeric verification.
• Pricing policy should continue to be tuned against actual conversion behavior.