Retail & e-commerce · Power BI template
Retail Store Performance Power BI template
Power BI retail store dashboard template with a side story panel, store map by sales density, store league table and department sales.
By Nawaf Sharaf · Founder & Reliability Engineer · Updated
Free for commercial useDark version: same layout, colours re-solved and checked for WCAG AA contrast.
BetaOpens in Power BI Desktop with 5 tables of sample data and every visual bound. See what’s inside
Free, no sign-up. The PBIP with sample data includes the background, theme and a README. 1920×1080 fits a new page in a Fluent 2 report; 1280×720 and 2× fit Classic pages. Downloads carry a small “Made with VizForge” mark (sign in to the studio to remove it).
- Layout
- Left story panel with stacked KPIs and slicers, map over league table and bars
- Page size
- 1280×720 px (16:9, Power BI default)
- Theme
- Earth Tones
Open the sample-data PBIP in Power BI Desktop
Checked against Microsoft Learn's Power BI Desktop projects documentation (as of Nov 2026).
- 1
Unzip to a short path and open the .pbip
Extract the zip to a short local folder such as C:\PBI (Windows limits project paths to 260 characters, and Desktop can't save a project straight to OneDrive or SharePoint), then double-click the .pbip file or use File → Open in Power BI Desktop. Microsoft still lists projects and TMDL as preview features (as of Nov 2026): if Desktop won't open the project, go to File → Options and settings → Options → Preview features, tick “Power BI Project (.pbip) save option” and “Store semantic model using TMDL format”, then restart Desktop.
- 2
Select Refresh once
The project ships without the local data cache (.pbi/cache.abf), so Desktop opens the full model definition without data. Select Home → Refresh: every table is built from values written into its Power Query step, so there is no data source to sign in to.
- 3
Save as .pbix or connect your data
Use File → Save as to keep a single .pbix file, or open Transform data and replace each table's Source step with your own query, keeping the column names so the measures and visuals keep working.
What’s inside the Retail sample model
Rendered from the same definition the download writes as TMDL, so this list always matches the file.
Ten UK stores in three regions and three formats with quarterly sales by department and footfall from Oct 2024 to Sep 2026. Milton Keynes opened in April 2025, so it is excluded from like-for-like growth. Units: GBP; footfall in visitors; floor area in square feet.
Tables and columns
Calendar
Date table · 2024–2026, one row per dayDate table generated in Power Query (List.Dates), marked as the model's date table.
- Date (date)
- Year (whole number)
- Quarter (text)
- Month (text)
- Month Name (text)
- Week Start (date)
- Weekday (text)
- Fiscal Year (text)
Store
Dimension · 10 rowsStores with location (geocoded by city), format, selling area and a like-for-like flag.
- Store (text)
- City (text)
- Region (text)
- Format (text)
- Sq Ft (whole number)
- Comparable (whole number)
Department
Dimension · 5 rowsMerchandise departments.
- Department (text)
Store Sales
Fact · 385 rowsNet sales per store, department and quarter (Date = first day of the quarter).
- Date (date)
- Store (text)
- Department (text)
- Sales (decimal)
Store Traffic
Fact · 77 rowsDoor-counter footfall and transactions per store and quarter.
- Date (date)
- Store (text)
- Footfall (whole number)
- Transactions (whole number)
Relationships
Many-to-one, single direction. Inactive relationships are switched on inside a measure with USERELATIONSHIP.
- 'Store Sales'[Date] → 'Calendar'[Date]
- 'Store Sales'[Store] → Store[Store]
- 'Store Sales'[Department] → Department[Department]
- 'Store Traffic'[Date] → 'Calendar'[Date]
- 'Store Traffic'[Store] → Store[Store]
DAX measures
All measures live in a dedicated Key Measures table. Copy any of them into your own model; rename the table and column references to match.
Total SalesNet sales.
Total Sales =
SUM ( 'Store Sales'[Sales] )Format string: £#,0
LFL Growth %Like-for-like growth: stores trading in both years only.
LFL Growth % =
VAR Current = CALCULATE ( [Total Sales], Store[Comparable] = 1 )
VAR Prior =
CALCULATE ( [Total Sales], Store[Comparable] = 1, SAMEPERIODLASTYEAR ( 'Calendar'[Date] ) )
RETURN
DIVIDE ( Current - Prior, Prior )Format string: +0.0%;-0.0%;0.0%
FootfallVisitors counted at the door.
Footfall =
SUM ( 'Store Traffic'[Footfall] )Format string: #,0
Conversion %Transactions per visitor.
Conversion % =
DIVIDE ( SUM ( 'Store Traffic'[Transactions] ), [Footfall] )Format string: 0.0%
Sales per Sq FtSales density for the selected period.
Sales per Sq Ft =
DIVIDE ( [Total Sales], SUM ( Store[Sq Ft] ) )Format string: £#,0
What each visual is bound to
The PBIP opens with these fields already on each visual.
| Visual | Type | Fields |
|---|---|---|
| Stores by sales per sq ftMap | Map | Store[City], [Sales per Sq Ft] |
| Total salesCard | Card | [Total Sales] |
| Like-for-like growthCard | Card | [LFL Growth %] |
| Store league tableMatrix | Matrix | Store[Store], [Total Sales], [LFL Growth %], [Sales per Sq Ft], [Footfall], [Conversion %] |
| Sales by departmentColumn chart | Column chart | Department[Department], [Total Sales] |
| FootfallCard | Card | [Footfall] |
| RegionSlicer | Slicer | Store[Region] |
| Store formatSlicer | Slicer | Store[Format] |
Questions this dashboard answers
Each one is answered by a visual on the page, from the sample model's own tables and measures.
- Which stores sell most per square foot?
- Are like-for-like sales growing once new stores are excluded?
- Which departments under-trade in a given store?
- Is footfall turning into sales?
About this dashboard layout
Store networks are managed through league tables, so this layout gives the matrix of stores (sales, like-for-like growth, sales per square foot, conversion, average basket) the bottom half of the page, with the map above it for context. Sales density, not total sales, goes on the map's bubble size; otherwise the biggest stores always look best.
The left panel is the page's narrative column: logo, title, a one-line explanation, three stacked KPIs (total sales, like-for-like growth, footfall) and the region and format slicers at the bottom. A side panel like this works well for pages that are printed or exported to PDF, because the headline and filters stay together.
Department sales sit next to the league table as a column chart. Select a store in the matrix and the department chart shows its mix, which is how area managers find a store that sells well overall but under-trades in one category.
Like-for-like growth needs a store-age flag (open for at least 13 months in both periods). Compute it as a column in the store dimension and filter the LFL measure on it; never compare new stores against an empty prior year.
Visuals on the page
Positions are Power BI page pixels. Enter them in Format → General → Properties → Size and position, or use the PBIP download where they are already set.
| Visual | Type | X | Y | Width | Height |
|---|---|---|---|---|---|
| Stores by sales per sq ft | Map | 376 | 40 | 864 | 272 |
| Total sales | Card | 56 | 232 | 256 | 80 |
| Like-for-like growth | Card | 56 | 344 | 256 | 80 |
| Store league table | Matrix | 376 | 360 | 520 | 320 |
| Sales by department | Column chart | 944 | 360 | 296 | 320 |
| Footfall | Card | 56 | 456 | 256 | 80 |
| Region | Slicer | 48 | 592 | 272 | 40 |
| Store format | Slicer | 48 | 640 | 272 | 40 |
Custom visuals for this layout
Built-in Power BI visuals cover most slots above. These slots also suit a custom visual; each page covers the data shape, DAX and a prompt to generate it as a .pbiviz.
Already have a report?
Brand Makeover tries Retail Store Performance first on every page of your Power BI project (.pbip zip) where it fits: the page's visuals have to go into its 6 data slots without overlaps. Pages it can't seat get another catalog layout or a brand grid. Queries, filters and bookmarks are left as they are. Free, in your browser.
Opens with the Analyst / Dense preset, because the Executive preset doesn't use this layout (No KPI band; this preset needs one).
Restyle my report into thisSwap a slot for a custom visual
Pick any slot and VizForge AI writes a custom visual (.pbiviz, with TypeScript source) sized to it, in this template's colours and shaped for the fields it is bound to.
Generate one that fits this layout.
Card · 256×80 px · bound to [Total Sales]
1, 2 or 5 credits depending on the brief · 5 free on signup. Sign in or create a free account on the next screen; the brief is saved for 30 minutes.
A Power BI card visual titled "Total sales". It sits in a 256×80 px slot on a designed report page. Match the report's brand: data colours #B4532A, #6B7F3A, #A58754, #4F5D6B, #8C6A4E, #2E7A6F; background #FFFFFF; text #2A2420; font Segoe UI. Transparent visual background so the page design shows through; no visual border. In the sample model it is bound to [Total Sales]; keep the same data roles so the fields drop straight in.
Not sure what to build? Browse the visual catalog or open the template in the design studio and hand off any slot from there. Or start in the AI generator with a blank brief.
Colours and theme
Terracotta, olive, sand and slate Power BI theme on a warm paper page; grounded, low-glare colours for sustainability, agriculture and facilities reports.
Use the background in an existing report
Prefer to keep your own report? Apply the design to it instead of opening the PBIP.
- 1
Download the background
Take the 1920×1080 PNG for a new page in a Fluent 2 report (the default size for new pages), or the 2× PNG (2560×1440) for sharp text on a 1280×720 Classic page. Power BI scales the image to the canvas.
- 2
Set the canvas background
Format page → Canvas background → Browse. Set Image fit to Fill and transparency to 0%.
- 3
Import the theme
Design ribbon → Import theme (in the Power BI service: View → Theme pane), then pick the downloaded JSON. Data colours and fonts now match the design. Older Desktop builds: View → Themes → Browse for themes.
- 4
Place your visuals
Size each visual to the positions above with background and border off, or open the PBIP project where they are already placed.
Questions about this template
Does the Retail Store Performance template come with sample data?
Yes. The “PBIP with sample data” download contains a semantic model with 5 tables and 5 DAX measures, and every visual on the page is already bound to it. The sample: Ten UK stores in three regions and three formats with quarterly sales by department and footfall from Oct 2024 to Sep 2026. Milton Keynes opened in April 2025, so it is excluded from like-for-like growth. The data is written into each table's Power Query step, so there is no data source or sign-in.
Is it a .pbix file?
It is a Power BI project (PBIP): a folder of text files that Power BI Desktop opens like a .pbix. Open the .pbip file, select Refresh once to load the sample rows, then use File → Save as if you want a single .pbix.
What visuals are in the Retail Store Performance template?
The page has 8 visual areas: 1 map, 3 cards, 1 matrix, 1 column chart, 2 slicers. Their exact positions are listed on this page so you can match them in Power BI's Format → General → Properties panel, or skip that step by downloading the PBIP project.
Which theme does the Retail Store Performance template use?
It ships with the Earth Tones theme (light tone). Download the theme JSON here, or open the template in the design studio and switch to any other theme or your own brand colours.
Is there a dark version of the Retail Store Performance template?
Yes. Switch the preview to Dark and every download (background, theme JSON and PBIP) comes in that version. The layout is identical; the page, card and text colours are re-solved for a dark page, and the accent, status and data colours keep their hues but are adjusted until text meets WCAG AA (4.5:1) and chart colours reach 3:1 against the cards.
How do I use the background image in Power BI Desktop?
Select the page, open Format page → Canvas background, choose Browse and pick the PNG, then set Image fit to Fill and transparency to 0%. Give your visuals a transparent background and no border so the designed panels show through.
Can I open the PBIP project in Power BI Desktop?
Yes. PBIR is the default report format in Power BI Desktop since September 2026, and the download is a PBIP project: unzip it and open the .pbip file, select Refresh once and the sample data loads into visuals that are already bound (the empty PBIP leaves the containers unbound for your own data). Microsoft still lists projects and TMDL as preview features (as of Nov 2026), so if Desktop won't open it, enable them under File → Options and settings → Options → Preview features.
Build guides for this dashboard
Guides to the same dashboard job: which custom visuals it needs, the DAX behind them and prompts to generate them.
Dashboard job
Best Power BI Visuals for Retail AnalyticsThe best Power BI visuals for retail analytics — store heatmaps, category Pareto, basket Sankeys, promotional…
Team
Power BI for retailStore league tables, category Paretos and the weekly trading calendar: retail views that make a Monday trading meeting short.
KPI cards for this layout
Headline numbers drawn by one DAX SVG measure each, for the Card visual or a table row.
Designs made for this template’s KPI slots: Store rating stars. Browse all styles in the KPI card gallery or build your own in the SVG measure builder.
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Make the Retail Store Performance template yours
Swap in your brand colours and logo, move panels, add icons and generate missing visuals with AI, then export the background, theme JSON and PBIP project.
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