Neighbourhood Store Β· Commercial lab Β· v Β· synthetic data
Was it worth it? Promos, price and baskets.
Every promotion in two years scored against what the line would have sold anyway: the extra units, the margin given away, what it took from other lines in the same category, and the dip after. Then how deep a discount should go, how much a supplier must fund, and which lines sell together.
This week's commercial actions
From the numbers below Β· you decide
Promotion scorecard Β· by category
Net = margin gained β margin given to other lines β the dip after
Line by line Β· keep, change or stop
Tap a line to see each of its promos
Discount depth lab
Pick a line and a depth Β· promo response from its own history
Net margin a day against selling at full price, after cannibalisation and the dip. Promo response mixes price and display, so treat it as a guide, not a law.
What sells together
Pairs lift = how many times more often than chance
Shopping missions share of baskets vs share of sales