Bill or Bleed by Price Perfect

Bill or Bleed by Price Perfect

Pricing
Free
Rating
0.0 (0 Reviews)
Developer
Moksha AI LLC

Bill customers or bleed margin: find the optimal split to protect profit when costs rise.

Bill or Bleed analyzes your store's transaction history to estimate price elasticity and gross margin. Enter a cost increase percentage, and the app calculates the optimal split between passing costs to customers (bill) and absorbing them as reduced margin (bleed). A trade-off table shows projected monthly revenue and profit across every possible split. The recommended strategy is based on your store's actual sales data, not industry averages, giving you the optimal pricing strategy.

Bill or Bleed analyzes your store's transaction history to estimate price elasticity and gross margin. Enter a cost increase percentage, and the app calculates the optimal split between passing costs to customers (bill) and absorbing them as reduced margin (bleed). A trade-off table shows projected monthly revenue and profit across every possible split. The recommended strategy is based on your store's actual sales data, not industry averages, giving you the optimal pricing strategy. more
  • Estimates your store's price elasticity from real transaction data
  • Calculates the optimal split between price increases and margin absorption
  • Trade-off table comparing revenue and profit across every bill/bleed scenario
  • Personalized recommendation based on your store's gross margin and sales history
  • Works across all your product variants, not just store-level averages

Languages

English

Categories

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Support

App support provided by Moksha AI LLC.

Developer

Moksha AI LLC

8635 West Sahara Avenue, 4096, Las Vegas, NV, 89117, US

Launched

April 30, 2026

Data access

This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .

View customer data:

Device and activity data

  • Device and activity data

    Geolocation, IP address, browser and operating system

View staff and contributor data:

Store owner

  • Store owner

    Name, email address, phone number, physical address

View store data:

Customers, products, orders, discounts

  • View customers

    Customer data

  • View products

    Inventory, products, collections

  • View orders

    All order history

  • View discounts

    Discount codes and promotions

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