Introduction
Welcome to the ultimate guide on how to set up volume discounts based on your customers' product selections or quantities. One of the most effective ways to incentivize larger purchases and enhance customer loyalty is by offering volume discounts. Whether you're looking to offer discounts for bulk purchases or particular product combinations, we've got you covered!
With Stylish Cost Calculator, achieving this unique need is a breeze. You have multiple options at your disposal:
- Custom Maths Element: Conditionally trigger discounts based on various factors like quantity or product type.
- Slider with Bulk Pricing Mode: An intuitive way for your customers to see their potential savings as they increase the quantity.
- Variable Math Element: For those who require more advanced calculations, this element allows you to set up complex equations that can factor in multiple conditions and variables.
Benefits, Features & Use Cases
- Package Deals: Give a discount if the user purchases a set of products or services
- Volume Discounts: give a price break if a selected amount of quantity has been achieved.
- extra Conditional Trigger Discounts: trigger a percentage or dollar amount discount under specified conditions
How to Activate & Use This Feature
Settings & Options
Trigger Volume Discount using the Custom Math Element w/ Conditional Logic
The Custom Math Element with Conditional Logic feature allows you to add a layer of complexity to your calculations, making it highly adaptable for a variety of use-cases. This element not only performs basic arithmetic but also integrates conditional logic to offer more dynamic and versatile calculations.
Highly Effective For
- Shipping Costs: Calculate shipping fees based on multiple conditions like distance, weight, or time of day.
- Package Deals: Offer special bundled pricing based on customer choices or purchase volume.
- Volume Discounts: Automatically apply admin fees or special discounts based on predefined conditions.
Not Recommended For
- Dimensional Calculations: Not ideal for calculations that involve multiplying dimensions like length, width, and weight together.
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