E-commerce · Analytics ·

Digital performance & GMV

A 360° view of your e-commerce activity: GMV, sessions, conversion and performance by device and channel.

Illustrative preview of the SAP Analytics Cloud dashboard Digital performance & GMV for the E-commerce industry: metrics GMV, Sessions, Conversion rate, Average basket, analyzed by Acquisition channel, Device, Country.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • GMV
  • Sessions
  • Conversion rate
  • Average basket

Analysis dimensions

  • Acquisition channel
  • Device
  • Country

About this template

A 360° view of your e-commerce activity: GMV, sessions, conversion and performance by device and channel. Designed for teams in the E-commerce industry, the model pre-wires 4 key metrics — including GMV and Sessions — analyzable across 3 analysis axes (Acquisition channel, Device, Country). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Digital performance & GMV 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 E-commerce 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 "Digital performance & GMV" template for?

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

Which KPIs are included?

The template includes 4 metrics: GMV, Sessions, Conversion rate, Average basket. Each is computed across the dimensions Acquisition channel, Device, Country.

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.