Promotion Uplift Planning Worksheet
Promotions are the most common reason a statistical forecast misses. This worksheet turns past promotion results into an uplift percentage, applies it to the next baseline and removes the volume that comes from your own other items.
| SKU | Promotion type | Past baseline units | Past promo units | Historic uplift % | Next baseline units | Planned promo units | Cannibalization % | Net incremental units | |
|---|---|---|---|---|---|---|---|---|---|
65% | 2,145 | 676 | |||||||
40% | 910 | 169 | |||||||
25% | 4,125 | 743 | |||||||
30% | 1,235 | 242 | |||||||
24% | 322 | 62 |
Uplift is only as good as the baseline. Use a baseline that excludes the event itself and other promotions. Add a post promotion dip row if your category shows pantry loading.
Promotion history from your ERP
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How to use the worksheet
For each SKU, enter the baseline units you would have sold without the promotion in the past event period, the actual units during the event, and the baseline for the coming period. The worksheet calculates the historic uplift, the planned promotion volume and the net incremental units after cannibalization. Edit the example rows, add your own and export to Excel for the demand review.
The formula
Uplift percent equals promotion units minus baseline units, divided by baseline units. Planned promotion units equal the next baseline times one plus uplift. Net incremental units equal planned units minus the next baseline, multiplied by one minus the cannibalization share. The cannibalization share is the part of the extra volume that would otherwise have been sold on other items you also supply.
- Uplift % = (promo - baseline) / baseline
- Planned = next baseline x (1 + uplift)
- Net incremental = (planned - baseline) x (1 - cannibalization)
Reading the result
Compare uplift across promotion types for the same SKU before reusing a number. A price discount and a display often behave very differently. If one event drives the average, prefer the median of several events. A high net incremental share against baseline signals supply risk, so alert the supply planner early.
Common mistakes
The biggest error is a contaminated baseline that already includes earlier promotions, which understates uplift. Others forget the post promotion dip, where customers buy less after an event. Forecast the dip as a negative adjustment in the following one or two periods and review it after the event.
Frequently Asked Questions
How do you calculate promotional uplift?
Subtract the baseline units from the units sold during the promotion, then divide by the baseline units. A result of 0.5 means a 50% lift. The baseline must exclude other promotions or one off events.
What is cannibalization in demand planning?
Cannibalization is volume that a promoted item takes from your other items. It must be netted off when you assess the true incremental demand and the effect on the whole range.
How do I estimate a baseline?
Use a statistical forecast built on history with promotion periods removed or flagged. A rolling average of non promoted weeks is a simple starting point if you do not have a model.
Does this work for B2B manufacturers?
Yes, wherever you run price deals, volume rebates, distributor programs or bundles. Replace the promotion types with your own programs and keep the baseline discipline.
Netray can compute baselines and past uplift from your ERP order history automatically, so planners start from evidence instead of memory.
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