Retail · Analytics ·

Promotional performance

Measure the real effectiveness of your promotions: net uplift, ROI, cannibalization and incremental margin.

Illustrative preview of the SAP Analytics Cloud dashboard Promotional performance for the Retail industry: metrics Promo uplift, Promotional ROI, Participation rate, Incremental margin, analyzed by Promotion, Category, Store.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Promo uplift
  • Promotional ROI
  • Participation rate
  • Incremental margin

Analysis dimensions

  • Promotion
  • Category
  • Store

About this template

Measure the real effectiveness of your promotions: net uplift, ROI, cannibalization and incremental margin. Designed for teams in the Retail industry, the model pre-wires 4 key metrics — including Promo uplift and Promotional ROI — analyzable across 3 analysis axes (Promotion, Category, Store). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Promotional performance into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Retail industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Promotional performance" template for?

It provides a ready-to-use SAC structure to drive analytics in the Retail industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Promo uplift, Promotional ROI, Participation rate, Incremental margin. Each is computed across the dimensions Promotion, Category, Store.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.