The scheme spiked sales. Did it make money? Run the post-mortem.
The scheme spiked sales — but did it make money? Enter baseline and promoted volumes, prices, costs and your cannibalisation assumptions; the analyzer separates real increment from borrowed demand and computes true ROI.
Observed uplift minus cannibalised full-price sales minus pulled-forward demand = genuinely incremental units. Incremental contribution minus scheme cost = the promotion's truth.
Cannibalisation and pull-forward are declared assumptions with defaults (15% and 10%) — honest ranges, visible on the output, not hidden precision.
Break-even uplift shows the incremental volume the scheme needed just to pay for itself — the bar for next time.
Illustrative figures, not a client outcome.
Compare non-promoted SKUs and channels during the window, and watch the weeks after for the pull-forward dip. First time, use 10–20% and mark it as an assumption.
As customer acquisition with measured repeat behaviour — occasionally. As a habit — never. The after-action template forces the question every time.
Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.
Schemes audited. Now make trade spend an investment, not a habit.
BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.