Jane wears all hats but one at her online fashion brand: she trusts dash to optimize her prices and promos.
dash is constantly analyzing Jane's promos, sales, and traffic to recommend the best personalized discount to send to each customer—with full transparency.
For example, a churned customer may need a hefty discount to re-engage, while a loyal customer might need only a small token of appreciation—it's all in the data.
Let's see dash find the best discount for a given customer...
Enter a customer's engagement level:
average order value
weeks since last order
total order count
dash's recommended discount optimally balances between enticing the customer to spend sooner, and Jane's desire to protect her profits.
past average profit*:
*from similar customers, given various discounts
resulting expected profit/month:
expecting three numbers, comma-separated.
with dash, you get to choose your business objective (e.g. profit, growth) and your lever (e.g. prices, discounts), and the rest is done for you.
dash transcends machine learning, producing good decisions that move metrics. after all, businesses run on decisions, not predictions.