Pricing study
Price ladders and willingness to pay, with the data
How a run goes
The steps this agent takes, in order, and what each one leaves behind.
Loads transactions, list prices and survey data
Builds the price and discount picture from the client's transaction data: realized prices, leakage by channel and the deals that break the ladder
Computes realized price, leakage and the demand curves
Analyzes the willingness-to-pay research and the competitor price points
Drafts the recommendation with scenarios
Produces the pricing recommendation with the revenue impact by scenario
Works in
Snowflake, Tableau, Box
Snowflake, Tableau, BoxWhat it does
- Builds the price and discount picture from the client's transaction data: realized prices, leakage by channel and the deals that break the ladder
- Analyzes the willingness-to-pay research and the competitor price points
- Produces the pricing recommendation with the revenue impact by scenario
Connects to
Need it to work differently?
Every agent can be changed: the steps it takes, the systems it uses and who approves what.