Model the uplift, cannibalization, and ROI of promotions before committing budget. Learn from historical campaigns to continuously improve promotional strategy.
Predict the incremental volume each promotion will generate before committing budget.
Measure how promotions on one product affect demand for related items in the portfolio.
Compare multiple promotional strategies side by side to optimize ROI before execution.
Historical promotion data is analyzed to build uplift models per product and channel. Before launching a new campaign, simulate multiple scenarios to compare expected volume lift, cannibalization effects, and net ROI.
Data-driven promotional planning typically improves promotion ROI by 20-30% while reducing excess inventory generated by poorly forecasted campaigns.
Ready to transform your forecasting?