PriceBeam

PriceBeam's cloud-based solution aims to give users scientific and precise insights into what the prices of their products should be.

PriceBeam brings value to:

- Optimizing existing prices vs competition

- Setting prices for new products

- Setting prices in new markets

- Understanding and fine-tuning value communication: what features customers value and what they are not willing to pay for.

- Brand health

- Assortment optimization and SKU rationalization


Willingness-to-Pay Research

• Setting the right price, instead of using guesswork.
• Implementing price increases more effectively.
• Setting prices for new products
• Optimizing prices across customer segments.

Value Attributes Research
This research shows how customers in a given market are valuing product/service features. It helps users to calculate what the total willingness-to-pay is for new combinations of features yet to be launched. PriceBeam's Value Attributes Research presents customers with a series of choices. Using choice-based conjoint analysis, we are able to determine the value customers put behind each tested feature.

PriceBeam's Value Attributes methodology allows users to test new product concepts, and assesss how much customers are will to pay for each feature. Ultimately it helps to make solid product and price decisions, using a conjoint-analysis-based research.


Menu-Based Conjoint Analysis
Menu-Based Conjoint (MBC) Analysis, or sometimes Menu-Based Choice Modelling, is a type of conjoint analysis designed for companies that sell products or services where customers choose from a menu. It can be a literal menu, like in restaurants, or a figurative menu like most products with a build-it-yourself approach, e.g. hotels, travel, phone plans, car configurations, event plans, and membership options. PriceBeam's Menu-Based Conjoint Analysis allows the user to analyze how individual menu items react to price changes, both on the item itself and on other menu utems. This is ideal for pricing restaurant menus, hotel packages, travel plans, software bundles, membership plans, phone packages, and any other type of business where the customer "builds" the product by choosing from different options.

Assortment Optimization Lab
PriceBeam's willingness-to-pay research also can reveal how customers see the individual items in the assortment, and how they would choose between them.

• Test willingness-to-pay a premium for brand extensions.
• Determine the ideal number of items in the assortment
• Test price anchoring effects
• Understand willingness-to-pay segments/groups.

Promotion & Discount Optimization
PriceBeam's Promotion Lab identifies customers' reactions to different promotional options, with or without discounts. Run analyses by customer segment and identify what customer segments react favourably to what promotional mechanisms. Use this to specifically target those segments, and improve the overall revenue.