AI promos for e-commerce
Jane wears all the hats but one at her online fashion brand: she trusts dash to optimize the customized promotional discounts she sends to her customers, increasing engagement and profits.
dash analyzes Jane's past promos, website traffic, and margins to discover the best customized discount based on each customer's engagement profile.
for example, a churned customer may need a hefty discount to re-engage, while an active customer might need only a small token of appreciation—it's all in the data.
here's a taste of Jane's dash, tailored to her business, constantly ingesting and analyzing her data.
to get the recommended discount for a given customer, enter values for their engagement profile:
customer's past average order value
weeks since customer's last order
customer's total order count
example: 940, 8, 2 ⏎
type three comma-separated values
expected profit next month:
*from similar customers at various discounts
with dash, you choose a business objective (e.g. profit, growth) and then relax while your specified lever (e.g. price, discount size) is optimized automatically.
dash transcends predictive machine learning, producing good decisions that move metrics. after all, businesses run on decisions, not predictions.