How to measure the true uplift of a retail promotion
Uplift is only meaningful when the baseline is right. Learn how to compute an incrementality-based baseline that your finance team will actually trust.
Why raw uplift lies
Running a promo and comparing promoted-week sales to the week before overstates the impact by 30% or more. Shoppers pantry-load, then buy less the following weeks — you are counting the same demand twice.
Building a defensible baseline
The right baseline is what would have happened without the promo. In practice, that means:
- Excluding the last 4 promoted weeks from the baseline calculation.
- Using the median of non-promoted weeks over the last 26 weeks.
- Correcting for seasonality with a simple year-over-year index.
Incremental units, not incremental revenue
Revenue uplift is polluted by the discount itself. Always measure incremental units first, then apply the shelf price to get an economic view your finance team can defend.
The 1.5x rule of thumb
Below 1.5x uplift, you are giving margin to shoppers who would have bought anyway. Above 2.5x, you are genuinely recruiting new buyers or accelerating consumption. Between the two, the answer depends on category dynamics.
Automation makes this real
Computing this manually across every SKU, every promo mechanic and every retailer is where teams give up. Sell-Out Copilot runs the full incrementality model automatically every week.
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