Clearer Modeling Fast
It took the technical edge out of Excel, so I could build the model myself instead of handing it off. I saved about six hours and finally understood how the pieces fit together.
It took the technical edge out of Excel, so I could build the model myself instead of handing it off. I saved about six hours and finally understood how the pieces fit together.
The pricing, cost, and growth inputs were all in one place, which made planning much easier. I finished my first forecast review in under an hour and had cleaner numbers to share.
It made margins and break-even easy to see without digging through formulas. I booked a meeting with our team the same day because the profit picture was finally clear.
The editable five-year supermarket workbook converts visitors, conversion, repeat customers, basket size, product mix, costs, and staffing into monthly and annual financial results.
Use the model to plan how the traffic of stores becomes buyers, repeating orders, selling product categories, operating costs, cash flow and financial results within five years.
You edit business assumptions in the workbook while related calculations update the navigation desktop, scenarios, P&L, cash flow, balance sheet and related reports.
The model transforms visitors to new buyers, carries out cohorts of customers repeated over their active life, calculates orders and units, allocates a mix of products and then prices of each category.
A new buyer is equal to a visitor to a store multiplied by a visitor's conversion rate to the buyer.
The participation of new buyers is repeated and each cohort is active for a specific lifetime.
Monthly orders shall link first orders with active customers repeating the order frequency times.
Orders become units sold and then a common set of units is allocated according to a mixture of sales categories.
The assigned units are valued by category and the revenue of the category is aggregated by month.
The revenue assumption view combines traffic of visitors, conversion, repeated behaviour, frequency of orders, basket size, sales mix, start time and price of category in one operating schedule.
Revenue assumptions
The COGS and OPEX programme separates the costs of the goods sold, variable costs and fixed operating costs so that their time and assumptions can affect the profitability and cash needs.
COGS & OPEX
The scenario view compares low, underlying and high performance in terms of revenue, gross margin, coverage margin and EBITDA, allowing for joint review of alternative operational assumptions.
Scenarios
The navigation desk allows you to review the model settings, scenarios, key performance indicators (KPIs), basic finance, mix of revenues, profitability, cash flow and visualize the period of return of the investment in one place.
Dashboard
The ready model fits into the conversion of visitors and retail basket based planning, while structurally different revenue logic, operating schedules or reporting may require individual modelling.
The indicator is the starting point for planning, not a guarantee of performance.
The Financial Models Laboratory may build or adapt the model where a different revenue logic, operational schedule or reporting is needed than the finished structure provides.
Order of the financial model for the orderYou will receive an immediate, fully-editable supermarket financial model for Excel and Google Sheets with five-year forecasts, scenarios, statements and reports of your navigation desktop.
Update assumptions regarding operations, costs, employment, capital, financing and reporting of the plan.
Work with detailed monthly and annual projections over the five-year forecast horizon.
Compare Low/Base/High cases in key modeled financial results.
Browse the navigation desktop, P&L, cash flows, balance sheet, summary and other included reports.
The basic answers are visible in their entirety, without the need to click on the accordion.
Converts visitors to new customers, adds active orders to customers, calculates units, allocates a sales mix and price to each category of products.
You can change the start date, visitors per week, conversion, repeat behavior, order frequency, custom units, product mix, category prices and seasonality.
The alternative cases can be compared to how they change revenue, gross margin, coverage margin and EBITDA throughout the forecast.
The product page presents a navigational desktop, P&L, cash flow, balance sheet, summary, profitability threshold, ROIC, charts, KPIs, financial indicators, valuations and other reports.
Yes. the Financial Models Lab offers personalised financial modelling for different revenue logics, operational schedules or reporting requirements.
This is a planned forecast, not a guarantee of financial results or economic performance.
This download includes a comprehensive Excel and Google Sheets file with a 5-year financial forecast, an interactive dashboard, and detailed breakdowns of all revenue and cost assumptions.
Core inputs and core outputs
Three scenario analysis
Presentation ready
DuPont analysis
Researched revenue assumptions
Lender-friendly financial outputs
Revenue stream detailed view
Performance metrics benchmark