High Fidelity
High Fidelity
High Fidelity
Simulated Purchase
Overview
A Simulated Purchase experiment tests a real buying experience without actually charging customers. This test helps Future Foundry validate whether customers would be willing to pay for a new product, service, or feature before it officially exists. Unlike an Advance Purchase test, where money is collected, a Simulated Purchase test stops at the final checkout step, allowing us to measure real purchasing intent without financial risk. It’s a powerful method for testing pricing strategies, demand levels, and market positioning.
A Simulated Purchase experiment tests a real buying experience without actually charging customers. This test helps Future Foundry validate whether customers would be willing to pay for a new product, service, or feature before it officially exists. Unlike an Advance Purchase test, where money is collected, a Simulated Purchase test stops at the final checkout step, allowing us to measure real purchasing intent without financial risk. It’s a powerful method for testing pricing strategies, demand levels, and market positioning.
A Simulated Purchase experiment tests a real buying experience without actually charging customers. This test helps Future Foundry validate whether customers would be willing to pay for a new product, service, or feature before it officially exists. Unlike an Advance Purchase test, where money is collected, a Simulated Purchase test stops at the final checkout step, allowing us to measure real purchasing intent without financial risk. It’s a powerful method for testing pricing strategies, demand levels, and market positioning.
Process
We create a high-fidelity digital or physical representation of the product and display it in a real sales environment—either a landing page, an e-commerce store, or a physical retail setting. Customers can browse, add the product to their cart, and proceed to checkout. However, before completing the transaction, they receive a message informing them that the product is not yet available and offering an option to sign up for updates. By analysing how many customers reach the checkout stage, how they react to pricing, and how many opt-in for future updates, we gain strong evidence of potential demand and price sensitivity.
We create a high-fidelity digital or physical representation of the product and display it in a real sales environment—either a landing page, an e-commerce store, or a physical retail setting. Customers can browse, add the product to their cart, and proceed to checkout. However, before completing the transaction, they receive a message informing them that the product is not yet available and offering an option to sign up for updates. By analysing how many customers reach the checkout stage, how they react to pricing, and how many opt-in for future updates, we gain strong evidence of potential demand and price sensitivity.
We create a high-fidelity digital or physical representation of the product and display it in a real sales environment—either a landing page, an e-commerce store, or a physical retail setting. Customers can browse, add the product to their cart, and proceed to checkout. However, before completing the transaction, they receive a message informing them that the product is not yet available and offering an option to sign up for updates. By analysing how many customers reach the checkout stage, how they react to pricing, and how many opt-in for future updates, we gain strong evidence of potential demand and price sensitivity.
Requirements
This test requires a working checkout flow, web analytics tracking, and a clear messaging strategy. The strongest evidence comes from high purchase click-through rates, indicating that customers are genuinely interested in paying for the solution.
This test requires a working checkout flow, web analytics tracking, and a clear messaging strategy. The strongest evidence comes from high purchase click-through rates, indicating that customers are genuinely interested in paying for the solution.
This test requires a working checkout flow, web analytics tracking, and a clear messaging strategy. The strongest evidence comes from high purchase click-through rates, indicating that customers are genuinely interested in paying for the solution.
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