The overall satisfaction that a customer receives from using a product or service offering
Use value
The utility gained from the product
Exchange value/Economic value
Depends on the alternatives customers have available to satisfy the same need
Differentiation value
The net benefits that a product or service delivers to customers over and above those provided by the competitive reference product
Monetary value
The total cost savings or income enhancements that a customer accrues as a result of purchasing a product
Psychological value
The innate satisfaction a product creates for the customer
Total economic value
The price of the customer's best alternative (reference value) plus the worth of whatever differentiates the offering from the alternative (differentiation value)
Next best competitive alternative (NBCA)
The products that represent the set of alternative products under consideration for purchase
Reference value
The price charged for the next-best product choice
Estimating economic value
1. Identify competitive reference prices
2. Quantify monetary value
3. Quantify psychological value
Challenges in identifying competitive reference prices
Products may not have a single competing product that customers would consider a suitable alternative
Gathering accurate price data and ensuring it is comparable to the pricing for your product
Adjusting reference price data
Accounting for differences in volume and service levels
Monetary value drivers
Tied to the customer's financial outcomes via tangible cost savings or income enhancements
Reference prices
Prices of competitive products that can be used as a benchmark
Estimating monetary value
1. Determine competitive reference prices
2. Gain detailed understanding of customer value drivers
3. Translate understanding into quantified estimates to support pricing decisions
Monetary value drivers
Tied to the customer's financial outcomes via tangible cost reductions or revenue increases
Psychological value drivers
Intangible, not inherently quantifiable
Quantifying monetary value drivers
1. Understand how the product category affects the customer's costs and revenues
2. Collect specific data to develop quantified estimates through in-depth customer interviews
Value driver algorithms
Formulas and calculations that estimate the differentiated monetary worth of each unit of product performance
Consider only the value of the difference between your product and the next best competitive alternative (NBCA) product
Measure the differentiation value either as costs saved to achieve a particular level of benefit or as extra benefits achieved for an identical cost
Do not assume that the percentage increase in value is simply proportional to the percentage increase in the effectiveness of your product
Dyna-Test product
Synthesizes a complementary DNA strand from an existing DNA sample, significantly reducing DNA molecule degradation and enhancing the precision of a DNA analysis
Reference value
The price of what the customer considers the best alternative product
Differentiated value
The customer use value of the attributes that distinguish the product from the next best alternative
The sum total of reference and differentiated values is the monetary value estimate
Value drivers for Dyna-Test in commercial research segment
Yield opportunity costs
Yield labor savings
Quality control labor savings
Sample size opportunity costs
Sample size labor savings
For pharmaceutical and commercial biotechnology firms, the estimated total economic value of Dyna-Test is the reference value of $30 plus the estimates of differentiated value, yielding a total estimated economic value of $2,528
Value drivers for Dyna-Test in nonindustrial markets
Yield opportunity costs
Yield labor savings
Quality control savings
Sample size opportunity cost avoided
Sample size lab savings
Academic institutions and government laboratories
Estimate economic value in a similar fashion to industrial customers, but modified to reflect the business model in this market, which has a different research environment and economic reward structure
Reference value
The $30 price of the EnSyn test kit
Price-sensitive academic and government buyers
Have lab assistants—essentially free student labor—make DNA test products from scratch
Differentiating value drivers for academic and government buyers
Similar to those of industrial customers, but modified to reflect the business model in this market
Yield opportunity costs
The yield opportunity cost avoided by using Dyna-Test is $1,055, somewhat less than for commercial researchers because of the lower economic rewards from breakthroughs in primary research
Yield labor savings
$231, less than for industrial customers because of the reduced cost of labor within university systems
Quality control savings
$29, less than for industrial customers because of the reduced cost of labor within university systems
Sample size opportunity cost avoided
$317, less than for industrial customers because of the reduced cost of labor within university systems
Sample size labor savings
Less than for industrial customers because of the reduced cost of labor within university systems
Estimated total economic value of Dyna-Test for academic laboratories
$1,685 (reference value of $30 plus estimates for each value driver)
The economic value derived from monetary value estimation is not necessarily the perceived value that a buyer might actually place on the product