Digital performance & GMV
A 360° view of your e-commerce activity: GMV, sessions, conversion and performance by device and channel.
GMVSessionsConversion rate
Open template →
E-commerce · SAP Analytics Cloud
SAP Analytics Cloud templates for E-commerce
4 ready-to-use SAC and SAC Planning templates for E-commerce — each with the KPIs, dimensions and realistic data your function actually tracks. Import in minutes, or generate a tailored one. No sign-up.
KPIs we cover for E-commerce
GMVConversion rateAverage basketCost of acquisition (CAC)Lifetime Value (LTV)Cart abandonment rateTrafficNPSNet margin
Analysis dimensions
Acquisition channelProduct categoryCountryDeviceCustomer segmentMarketing campaignMarketplace
4 E-commerce templates
Each opens with a live preview and a one-click download (.xlsx, .csv, .package).
Marketing & acquisition
Track your paid acquisition channels: cost of acquisition, ad profitability and conversion rate by source.
CACROASConversion rate by channel
Open template →
Cohort analysis
Measure retention and customer value at 1, 3 and 6 months after acquisition. Identify the most profitable cohorts.
LTV by cohortRetention rate M1/M3/M6Revenue by cohort
Open template →
Conversion funnel
Visualize the purchase journey: product view → add to cart → checkout → conversion. Spot the drop-off points.
Product view rateAdd-to-cart rateAbandonment rate
Open template →
How to model E-commerce in SAP Analytics Cloud
A solid E-commerce model starts with the right grain. Build your dimensions first (Acquisition channel, Product category, Country), then add the measures that matter (GMV, Conversion rate, Average basket). The trap is aggregation: amounts and volumes sum, but rates and percentages must use AVERAGE, and stocks or balances must use a LAST exception on the time dimension — otherwise your yearly totals come out wrong.
Set those aggregations once in the Modeler, import your data, and build a Story from the KPIs above. For the full method, see our guides on importing a CSV into SAC and choosing the right aggregation.