Response curves and saturation
See where additional spend in each channel stops paying back, with an uncertainty band rather than a single line.
Marketing mix modelling
A mix model fitted on your daily revenue and spend, with seasonality, saturation and bootstrap intervals. It plans budgets without ever overriding order-level evidence.
See where additional spend in each channel stops paying back, with an uncertainty band rather than a single line.
Weekly and yearly patterns plus Hijri-calendar events such as Ramadan and Eid, which shift every year and break Gregorian-only models.
Bootstrap intervals accompany each channel contribution. Estimates are rounded so they do not suggest more precision than the data supports.
Reallocate a budget across channels against the fitted curves and forecast the outcome, with the interval carried through.
Each model run is stored with its inputs and diagnostics, so you can compare runs over time instead of trusting a moving number.
Know before you buy
More is better. The model needs enough days and enough variation in spend per channel to separate their effects, and tells you when the data is not sufficient.
It works at the aggregate level. It is useful for budget planning, but it cannot say which order came from which ad, so it never replaces attribution evidence.
Yes. Spend for influencers and offline media can be imported by CSV and included as channels.
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