Sales
The Sales group contains seven dashboards that analyze commercial performance from different angles: high-level KPIs, period-over-period evolution, growth decomposition, time-of-day patterns, price dynamics, private label share, and promotional impact.
Navigate to Retail Analytics → Sales and select the relevant tab.
Overview
Path: Retail Analytics → Sales → Summary tab
Provides a top-level view of the main sales metrics for the selected period, comparing against the previous period and showing daily evolution.
Key Metrics
Sales section
| Metric | Description |
|---|---|
| Sales | Total sales (identified + unidentified) for the period, with % variation vs. previous period |
| Sales Identified | Sales from loyalty members (identified customers) |
| Sales Unidentified | Sales from anonymous transactions |
| % Sales Identified | Share of total sales attributed to identified customers |
Sales Evolution — bar chart showing identified and unidentified sales by day/week/month, with a % variation line overlay.
Purchases section
| Metric | Description |
|---|---|
| Purchases | Total number of checkout transactions |
| Identified Purchases | Transactions where a loyalty member was identified |
| Average Purchase (total) | Total Sales / Total Purchases |
| Average Purchase (identified) | Identified Sales / Identified Purchases |
| Average Purchase (unidentified) | Unidentified Sales / Unidentified Purchases |
Units — units sold for the period with daily evolution chart.
Customers section
| Metric | Description |
|---|---|
| Active Customers | Customers who purchased at least once in the period |
| Average Expenditure | Identified Sales / Active Customers |
| Frequency | Average number of purchases per customer |
| Average Products per Purchase | Average distinct products per cart |
Ranking — Top 5 Stores, Top 5 Product Features, Top 5 Products by sales value.
Filters
Period (current month / last month / custom), Audience, Dimension to Evaluate, Taxonomy, Product Categories, Supplier, Brand, Store categories, Stores, Chart granularity, Country, Homogeneous Stores, Company currency.
Evolution Metrics
Path: Retail Analytics → Sales → Evolution Metrics tab
Compares a selected sales dimension (Sales, Carts, Average Ticket, Units, Products by ticket) between a base period and a comparison period, with configurable granularity. Useful for identifying trends and seasonal patterns.
Key Metrics
Two charts:
- Absolute evolution — values for base period vs. compared period (total, identified, unidentified) broken down by selected granularity
- % Variation evolution — percentage change between periods for total, identified, and unidentified
Both charts support showing/hiding individual lines by clicking the legend.
Filters
Base date period, Compared date period, Audience, Days of week (multiselect to include only specific days), Dimension to Evaluate, Taxonomy, Product Categories, Products, Supplier, Brand type, Stores, Chart granularity, Country, Comparable stores only.
Summary Growth Contribution
Path: Retail Analytics → Sales → Summary Growth Contribution tab
A management-level summary dashboard showing which entities (categories, products, suppliers, locations) are driving sales growth, and whether that growth comes from more purchases or higher average ticket.
Key Metrics
Five tiles:
| Tile | Dimension | Metrics |
|---|---|---|
| 1 | By Category | Sales, % Var Sales, % Var Purchases, % Var Average Purchase |
| 2 | By Product/Reference | Sales, % Var Sales, % Var Purchases, % Var Average Purchase |
| 3 | By Supplier | Sales, % Var Sales, % Var Purchases, % Var Average Purchase |
| 4 | By Location | Sales, % Var Sales, % Var Purchases, % Var Average Ticket |
| 5 | Growth by Purchase Acts | Decomposes sales variation into: contribution from ticket volume increase vs. contribution from average ticket increase |
Tile 5 answers: Is our sales growth driven by more customers shopping, or by each customer spending more?
Filters
Base date period, Compared date period, Audience, Taxonomy, Product Categories, Products, Supplier, Brand type, Stores, Carts (all / identified / unidentified), Comparable stores only.
Time Slot
Path: Retail Analytics → Sales → Time Slot tab
Analyzes sales, purchases, customers, and other metrics broken down by day of week and time slot. Identifies peak trading periods and whether specific customer segments behave differently at different times.
Default time slots: 00h–08h, 08h–09h, 09h–10h, 10h–12h, 12h–14h, 14h–17h, 17h–19h, 19h–Closing.
Key Metrics
Day of week chart — selected chart metric (Sales, Units, Carts, Customers, Average Purchase, Average Expenditure) for each day of week, base period vs. compared period + % variation.
Time slot chart — same structure as day of week, but by time slot.
Day of week table — one row per day: Sales, % Var, Units, % Var, Purchases, % Var, Customers, % Var, Avg Purchase, % Var, Avg Expenditure, % Var, Massification %, % Var.
Time slot table — same metrics per time slot.
Massification = Customers who redeemed at least one coupon / Total active customers in that slot. Requires coupon module to be active.
:::tip Interactive filtering Clicking a specific day of week in the chart or table updates the time slot view to show only that day's time slot breakdown. :::
Filters
Base date period, Compared date period, Audience, Taxonomy, Product Categories, Products, Supplier, Brand type, Store categories, Stores, Carts, Chart Metric, Comparable stores only.
Price Index
Path: Retail Analytics → Sales → Price Index tab
Tracks how the average unit price of products and categories has evolved compared to the same period of the previous year and the full annual average. Answers: are my products getting more or less expensive, and how does this month compare to the full year trend?
Key Metrics
Two tables — one by Product Category, one by Product/Reference:
| Metric | Description |
|---|---|
| Average Unit Price (selected period) | Sales / Units for the period |
| Price Index (selected period) | (Avg unit price period / Avg unit price same period last year) × 100. 116 = 16% more expensive than last year |
| Average Unit Price (annual) | Full-year average unit price for the selected calendar year |
| Price Index (annual) | (Avg unit price annual / Avg unit price previous full year) × 100 |
| Differential Price Index | Price Index selected period − Price Index annual. Shows whether the period is above or below the annual trend |
Filters
Base date period, Taxonomy (mandatory), Product Categories (mandatory), Products, Supplier, Brand type, Store categories, Stores.
Private Label
Path: Retail Analytics → Sales → Private Label tab
Evaluates the performance of own-brand (private label) products within selected categories compared to supplier brands. Tracks sales weight, penetration, and how private label share is evolving.
Key Metrics
Summary block:
| Metric | Description |
|---|---|
| Sales (all brands) | Total sales for selected categories, including private label |
| Sales (private label) | Sales of own-brand products only |
| Units (private label) | Units of private label sold |
| Customers (private label) | Distinct customers who purchased private label |
| Average Purchase | Average cart for private label purchases |
| Average Expenditure | Average spend per customer on private label |
| % Sales Weight | Private label sales / total category sales |
| % Penetration | Customers who bought private label / total category buyers (not necessarily exclusive) |
All metrics include % variation vs. same period previous year.
Evolution chart — selectable metric (Sales, Quantity, Average Purchase, Average Expenditure, Sales Weight, Penetration) showing private label vs. other brands over time, with % variation line.
Filters
Base date period, Compared date period, Audience, Taxonomy, Product Categories (mandatory), Store categories, Stores, Carts (all / identified / unidentified), Evolution chart metric, Comparable stores only.
:::note Data requirement Private Label must be defined as a taxonomy and associated to its products in the catalog configuration. :::
Promotions
Path: Retail Analytics → Sales → Promotions tab
Analyzes the performance and impact of promotional activities across product categories and individual products. Compares promotional vs. non-promotional sales and tracks customer engagement with promotions.
Key Metrics
Top Metrics Summary:
| Metric | Description |
|---|---|
| % Promotion Sales | Total promotional sales / Total sales |
| Promotion Sales | Monetary value of sales with at least one promotion applied, with % variation vs. compared period |
| Units Promotion | Bar chart: units sold with promotion (blue) vs. units without promotion |
Promotional Sales by Product Category table:
| Column | Description |
|---|---|
| Promotional Products | Count of distinct products on promotion within the category |
| Sales | Total category sales |
| % Promotional Sales | Share of sales from promotional purchases |
| % Var. Promo Sales | Change vs. compared period |
| Units in Promo | Units sold with a promotion applied |
| Promo Units Increase | Absolute change in promotional units vs. compared period |
| Customers in Promo | Distinct customers purchasing promotional items |
| % Var. Customers in Promotion | Change in promo customers vs. compared period |
Promotional Sales by Product/Reference table — same metrics at individual SKU level.
Products Assortment table — lists "non-continuous" products (items that appear only in some months of the analysis period), showing first purchase date, months with sales, and % months with sales.
Filters
Base date period, Compared date period, Audience, Taxonomy, Product Categories, Products, Supplier, Brand, Store categories, Stores, Comparable stores only.