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Pricing Twin

What price creates the most value — not just the most revenue?

1 Core Question

How should we price when customers, competitors and demand do not react uniformly?

2 The Business Problem

Pricing decisions are often made with incomplete information about customer response.

Historical prices show what happened.

They do not automatically tell us what would have happened under a different price.

Simple margin calculations therefore miss the most important part of the decision: behavioural response.

The highest price is not necessarily the
most profitable price.

3 What the Twin Does

It turns pricing into a response and scenario model.

A Pricing Twin combines historical prices, volumes, customer or product characteristics, cost information and relevant market drivers.


The output is not simply a recommended price.

It is a pricing response surface showing the trade-offs behind different pricing choices.

4 Demonstrated Capabilities

Price–demand response modelling

Estimate how demand changes as price changes, while controlling for relevant product, customer or market characteristics.

Price sensitivity segmentation

Identify products, customer groups or markets with materially different price responsiveness.

Revenue and margin optimisation

Translate demand response into expected revenue and contribution margin across alternative price points.

Scenario simulation

Test alternative price, cost and competitor scenarios before implementing a change.

5 Blueprint

Required Conditions

Modeling tools

Typical KPIs

Historical price data
Sales or demand volume
Product or service identifiers
Customer or market segmentation
Cost or margin information
Time dimension

Price-response modelling
Elasticity estimation
Regression and hierarchical models
Segmentation
Scenario simulation
Price optimisation

Price elasticity
Expected volume
Revenue
Gross margin
Contribution margin
Average selling price
Discount depth
Incremental demand
Margin impact

6 Decision the Model can support

  • Which products or customers can absorb a price increase?

  • Where are we discounting more than necessary?

  • What price maximises revenue?

  • What price maximises contribution margin?

  • How much volume is at risk under a proposed price increase?

  • Which segments are most price-sensitive?


7 From Pricing to Action

Signal

Twin Interpretation

Possible Action

Price increases have little effect on demand in one segment

The segment appears relatively price-insensitive

Test a higher price or reduce unnecessary discounting

Discounts increase volume but reduce total contribution margin

Additional demand does not compensate for the lower unit margin

Reduce discount depth or tighten eligibility

One product is substantially more price-sensitive than the rest of the portfolio

A uniform pricing rule may destroy volume disproportionately

Differentiate pricing by product or segment

Input costs rise while customer price sensitivity remains stable

Current pricing may no longer protect target margin

Evaluate the smallest price increase required to restore margin