Your model scores a catchment on who lives there. What decides the site is what they already do at six in the morning.
Tell two identical neighborhoods apart before you sign the lease
Income, density and median age can match to the decimal, and the same concept can fill in one catchment and sit empty in the other. Sena records every facility inside the radius and asks the people who live there what they do now, so the two stop looking alike.
What every facility inside each radius is and charges, how full each one runs at the hours that matter, what people in the catchment do now and pay now, and which of your candidate sites those two answers agree about.
Fitness and Boutique StudiosWellness and SpaSports and RecreationPreventive Health
Real estate and development, operations, marketing, and strategy teams at fitness operators, franchise networks, wellness groups, recreation providers, and preventive health enterprises.
Sena, the Decision AI from Rwazi.
Decision AI with access to real-world dataThe problem
Development and strategy teams bring Sena the same question: which of these sites will fill.
The model measures who lives there
Median household income, population inside a radius, median age, daytime population, and the count of competing facilities within a mile. Every one of those is real, available and cheap, which is why the whole category uses them. They describe the people in the catchment.
The category turns on what those people already do
A neighborhood where four boutique studios run full at six in the morning and everybody holds two memberships is a different commercial proposition from one where the same money goes on a pool, a home rack and a Saturday run. Both catchments return the same income figure. One has a proven category and a price ceiling already set high. The other has a price expectation set by monthly memberships and a format yet to be established locally.
So two sites score the same and perform differently
The score comes from the resident. The result comes from the routine. A lease is signed once, for five or ten years, on the strength of the first one. That is the whole exposure: the decision is made a single time, at the point where the cheapest data is available and the deciding variable is the one nobody measured.
The question is narrow. Inside each radius, what is already there, how full is it, and what do the people who live there do now.
How Sena separates two catchments that score the same
Name the candidate sites and the radius
Your shortlist, and the radius that matters for your format. A boutique studio draws from a walk and a big-box gym draws from a drive, so the radius is set per concept.
Record every facility inside each radius
Sena Computer Vision visits each one and records what it is, what it charges, what the membership model is, how it presents itself, and how full it runs at the hours you care about. Each record carries the hour, the date, coordinates and a photograph.
Ask the people who live inside the radius
Sena Consumer Activity reaches them for what they do now, how often, where, what they pay, how many memberships they hold, and which formats they would try.
Set supply against activity, site by site
Two answers arrive as facts: what is available and what people report doing. Your team applies its own revenue model and its own threshold, since the unit economics and the acceptable payback belong to the operator.
Read again before the lease and after the opening
The competitive set moves. A read before signing and a read after the first quarter shows what changed and whether the catchment behaved as recorded.
Industries and Rwazi capabilities involved
| Industry | Why it applies |
|---|---|
| Fitness and Boutique Studios | Core. The format is specific and the catchment either practices it already or has yet to, and the demographic profile says little about which. |
| Wellness and Spa | Discretionary spend with a local price expectation, set by whatever is already operating nearby. |
| Sports and Recreation | Climbing, swimming, courts and rinks each depend on local participation, which is observable at the facilities that already exist. |
| Preventive Health | Placement follows what a community does about its own health, and a clinic-led model competes with everything else in the radius for the same hour of the day. |
Check out Rwazi and Sena capabilities
| Capability | What it does here |
|---|---|
| Sena Computer Vision | Core. Records every facility inside each radius: format, pricing on display, membership model, presentation, and how full it runs at the hours that matter. |
| Sena Consumer Activity | Core. Reaches people in the catchment for what they do now, how often, what they pay, and which formats they would try. |
| Sena (Decision AI) | Core. Holds both reads per site, sets them against each other, and tracks the competitive set across visits. |
A property read and a consumer read, both Core. Every input is either a fact about a facility or an answer from somebody who lives inside the radius.
Two catchments a demographic model scores identically
The top half is what the standard model measures. Every row matches. The bottom half is what a read finds. Every row diverges. Figures are illustrative and sized to make the mechanism concrete.
| Catchment A | Catchment B | |
|---|---|---|
| WHAT THE MODEL MEASURES | ||
| Median household income | $118,000 | $118,000 |
| Population inside one mile | 24,000 | 24,000 |
| Median age | 34 | 34 |
| Fitness facilities inside one mile | 6 | 6 |
| WHAT THE READ FINDS | ||
| What those six facilities are | Four boutique studios, a climbing gym, a barre studio | Two big-box gyms, a martial arts school, three clinic-led movement practices |
| Fullest hours observed | 6am and 6pm on weekdays, capacity at both | Saturday morning, thin on weekday evenings |
| Pricing observed | $28 to $34 for a single class | $19 to $49 for a month |
| What people in the radius report doing | Studio classes three times a week, two memberships each | Running outdoors, equipment at home, a pool |
| What a new boutique studio meets | A proven category, a high price ceiling, and six operators already holding the hours it wants | A price expectation an order of magnitude lower, and a format the catchment has yet to adopt |
One catchment is as good a site as the other, and they call for different concepts, different pricing and different opening months, and the model that produced their identical score leaves all of that out. Both would have passed the same screen.
Ask Sena
Data connected 3/4
Sena
Illustrative interface. Numbers are an example, not a Rwazi result.
Roles and functions
Real estate and development
Ranks the shortlist on what is inside each radius and what people there do, alongside the demographic screen already run.
Strategy solutions →Operations
Sets the format, the class schedule and the opening hours per market, against the hours the existing operators already hold.
Marketing
Builds the pre-opening message from what people in that catchment report doing now, since the argument for switching differs from the argument for starting.
Marketing solutions →Strategy
Prioritizes expansion by where the format has a gap and a matching population, and holds the markets where it has one of the two.
Finance
Applies the revenue model and the payback threshold to both reads, since the unit economics belong to the operator.
Why teams choose Sena for this
| What you need | What Sena does |
|---|---|
| The two reads on the same radius | Records what is available and asks what people do, because supply alone and demand alone each point at the wrong site. |
| The hours, alongside the count | Records how full each facility runs at the hours your format needs, since six operators at capacity and six operating half empty read as opposites from the same count. |
| The price already set locally | Records what the existing facilities charge and what people in the radius report paying, which sets the ceiling before the model does. |
| Cost set against the commitment | One read costs a fraction of a single month’s rent on a site, and the lease behind it runs for years on one decision. |
| Your model stays yours | Sena returns the facility record and the catchment answers. The score, the threshold and the go decision run inside your own numbers. |
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See the use case →Talk to Sena about the two sites on your shortlist that look the same
Tell us the decision you are weighing, and we will bring the market read to the conversation.
Start from your own question
Bring the decision in front of you and we will run the first read against it on the call.