E-commerce · Analytics ·

Conversion funnel

Visualize the purchase journey: product view → add to cart → checkout → conversion. Spot the drop-off points.

Illustrative preview of the SAP Analytics Cloud dashboard Conversion funnel for the E-commerce industry: metrics Product view rate, Add-to-cart rate, Abandonment rate, Final conversion rate, analyzed by Stage, Device, Category.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Product view rate
  • Add-to-cart rate
  • Abandonment rate
  • Final conversion rate

Analysis dimensions

  • Stage
  • Device
  • Category

About this template

Visualize the purchase journey: product view → add to cart → checkout → conversion. Spot the drop-off points. Designed for teams in the E-commerce industry, the model pre-wires 4 key metrics — including Product view rate and Add-to-cart rate — analyzable across 3 analysis axes (Stage, Device, Category). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Conversion funnel 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 "Conversion funnel" 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: Product view rate, Add-to-cart rate, Abandonment rate, Final conversion rate. Each is computed across the dimensions Stage, Device, Category.

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.