The revenue of your future point of sale. Forecast before opening.
A Revenue Forecast study is the instrument that turns a location hunch into a defensible figure. SAD combines an on-site visit by a senior consultant and a quantitative model calibrated on 45 years of history — producing a reasoned low / central / high revenue range.
30-40 page report · Dedicated debrief · Delivered in 3 to 4 weeks.
files analyzed
of proprietary history
delivery turnaround
A defensible dossier, slide by slide.
The Revenue Forecast (RF) report is not a generic PDF. It is a 30-40 page document structured for decision-making: built to be read in 20 minutes by an investment committee.
A precise study,
anchored in the field.
We estimate the future revenue of a point of sale before opening by articulating two complementary registers that converge into a reasoned estimation model.
Qualitative · Field
A senior consultant spends a full day on site. They read the location, its commercial ecosystem, its real visibility and accessibility. They meet the project owner to understand the concept, positioning and operational tradeoffs.
Quantitative · Data
Our analysts model the catchment area, qualify population and jobs, measure flows and map competition. All data is geolocated and cross-referenced with our proprietary library.
Estimation
Convergence of both registers in a dual-approach estimation model: commercial equation (capacity × rotation × ticket) and market share against a proprietary library of comparable units.
The quantitative analysis sets the perimeter of potential. The qualitative visit arbitrates its value. This dual reading is what makes the estimate credible to your financial partners.
Six revenue sources.
Estimated one by one.
The revenue of a retail unit is not just its catchment area. Six revenue generators stack at the site, each with its own intensity, seasonality, and average ticket. Our analysts estimate each independently and then aggregate.
Residents
Resident population qualified by SEC, household structure, income — core potential for evenings and weekends.
Office jobs
Density of office jobs, administration, services — primary driver of lunch and weekday purchases.
Culture & outings
Cinemas, theatres, museums, cultural venues — feeds evening, weekend and event-driven flows.
Foot & vehicle traffic
Pedestrian counts, vehicle flows, transit ridership, surrounding parking.
Visitors & overnight stays
Hotel capacity, short-term rentals, seasonality — particularly material in tourist cities.
Students & youth
Higher education and secondary school populations nearby — natural target audience for many concepts.
Anchor stores, polarity of the street, coherence of the retail fabric. A street that draws its own destination traffic adds a layer of attractiveness that we estimate separately.
Two models.
One reasoned range.
Commercial equation
Capacity × Rotation × Ticket, distinct by consumption moment — lunch/dinner for restaurants, weekday/weekend for retail, season for hospitality. Calibrated on real performance of comparable units.
Market share
Proprietary library of comparable points of sale over 45 years. Each site is compared to sector, geographic and format references that anchor the estimate in reality and surface optimism bias.
Both models converge into a low / central / high range.
With its drivers and its brakes.
A revenue figure you can defend before an investment committee.
Five steps, one reading of the potential.
From order to delivery, in 3 to 4 weeks.
Site visit & client meeting
Senior consultant fieldwork: macro/micro accessibility, visibility, façade, pedestrian and vehicle flows, transit access, parking. Meeting with the project owner to align on concept and tradeoffs.
Catchment area definition
Sector-calibrated catchment modeling. Isochrones, proprietary comparable references, integration of structural urban projects.
Catchment qualification
Resident population, households, age brackets, SEC, income, demographic trends. Commuting jobs, tourism pressure. The objective: know who passes by and who consumes — weekday, weekend, lunch, dinner.
Competition mapping
Exhaustive inventory of direct and indirect competitors in the zone, segmented by ticket and positioning. E-reputation reading (ratings, reviews), measurement of real competitive pressure.
Potential revenue estimate
Convergence into the dual-approach estimation model. Delivery of a reasoned low / central / high range, drivers and brakes, operational recommendations. Dedicated debrief session.
A SAD RF vs. a 'box-ticking' study
What you pay for elsewhere is not what you get with us.
- Automated extraction of public data
- Generic isochrone without real topology
- No proprietary sector reference
- No field visit or qualitative analysis
- Static PDF delivered without support
- Single-model estimate, no range
- 45 years of proprietary behavioral data
- Dual-approach estimation (equation + market share)
- On-site visit by a senior consultant (one day)
- 6 revenue generators estimated independently
- Sector-calibrated (restaurants, retail, fashion, sport…)
- Reasoned low / central / high range
- Dedicated debrief + operational recommendations
A use case for every decision-maker.
Independent project owner
Secure the business plan, convince the bank, sharpen the offer before opening.
Franchisee pre-signing
Complement the legal pre-contract disclosure with a quantified read of local potential before signing.
Network development lead
Arbitrate between candidate sites, calibrate revenue targets for a new unit.
Landlord / investor
Assess rental potential and the viability of a tenant on a given site.
"A dossier you can defend before your bank, your funding round, your investment committee."
Sector-calibrated. Precise across each.
The RF model adapts to your sector dynamics — bi-modal for restaurants, weekly for retail, seasonal for hospitality.
Restaurants
Fast-food, traditional, healthy, bakery
3,200+ studiesFashion & textile
Ready-to-wear, footwear, luxury
1,800+ studiesGrocery / FMCG
Hyper, super, convenience
4,500+ studiesSport & leisure
Fitness, outdoor, culture
900+ studiesHealth & beauty
Pharmacy, optical, cosmetics
1,100+ studiesServices
Auto, banking, real estate
2,400+ studiesHospitality
Chains, boutique hotels
600+ studiesInternational
40+ countries, Middle East, Africa
800+ studies"SAD Marketing's RF allowed us to validate our opening project with a precision that reassured our investors. No other firm came close to this depth of predictive analysis."
Frequently asked questions about the Revenue Forecast
Tout ce que vous devez savoir sur nos solutions.
What is a Revenue Forecast (RF) study?
Difference between an RF and a Local Market Assessment (LMA)?
How is the RF's accuracy verified?
How long does it take to deliver an RF?
What does an RF cost?
What data do you use?
Is the RF defensible to my bank and investors?
Are you calibrated for my sector?
What happens after the report is delivered?
Do you operate internationally?
Request your RF quote within 24h
Sector, target surface, location — a brief exchange is enough for us to send you a personalized proposal.