by Ambient Array
Find Your Next Profitable Location
(We'll Do the Math)
A single wrong location can cost millions. Tupll shows you where your brand will thrive, before you sign the lease.
Tupll uses advanced multi-signal modeling your competitors can't access to reveal where to grow next, before they see the opportunity.
15+ Years
building site selection models
2,342
locations evaluated
124
verified builds/leases based on our reports
What Is Tupll?
Tupll is Ambient Array's proprietary site selection methodology. Put plainly, it is a machine learning driven evaluation system that combines traditional statistics with multiple machine learning models to predict how a location will perform, built on your own historical revenue. It blends demographic signals, business activity, competitive context, consumer behavior, and local economic patterns into a single predictive view of market viability.
Identify High-Potential Markets
Markets with the highest likelihood of profitable performance
Standardized Scoring
Compare candidate sites through a defensible scoring model
Reveal Hidden Growth
Growth pockets that traditional demographic tools miss
Prioritize Opportunities
Across an entire geographic footprint with confidence
Why Most Site Selection Falls Short
Most teams evaluate new locations with a self-service tool: type in an address, look at some demographics and traffic, and call it analysis. It feels thorough. It usually is not.
A false sense of security
Type in an address, pull up some demographics and traffic counts, and it feels like you did the analysis. Most of the time, you did not. The same goes for a site you drove past or a broker flagged as available.
No real way to compare markets
Self-service tools compare one variable at a time, like average household income above a threshold. They cannot rank one area against another across everything that actually drives revenue.
Totals that hide the truth
A big population or a high traffic count looks good on its own. But the relative concentration of the right customers often matters more, and most tools only show you the raw numbers.
Too many factors to weigh by hand
When 10, 20, or 40 variables all influence performance, no one can weigh them accurately in their head, no matter how smart they are. That is math, not intuition.
Across our clients' own location histories, about 80% of a site's success comes down to the neighborhood around it: who lives there and what businesses operate nearby. Another 10% is how well the location is run, and 10 to 20% is how easy it is to get in and out. You can have the best manager and the easiest access in the world, but put the location in the middle of the desert with no customers nearby and it will not perform. Tupll measures the part that drives most of the outcome, and the part most tools get wrong.
Why Tupll Works
Our methodology reflects the decision patterns and analytical expectations of enterprise-level operators and multi-location brands. It is designed to give you a predictive advantage your competitors cannot access.
Multi-Signal Intelligence
We integrate dozens of consumer, business, economic, and behavioral indicators, giving you a far richer view than traditional demographic datasets.
Predictive Modeling, Not Static Data
Tupll learns from your own revenue history instead of a snapshot of today's demographics. A high income or a big population tells you nothing about what to do. A predictive score does.
Proprietary Weighting & Scoring
We test 30 to 60 data points across multiple radius bands, keep only the ones that actually move your revenue, and weight them for your brand. Two restaurants, or two retailers, never get the same model.
Decision-Ready Output
Executives receive clear, prioritized recommendations, not raw data.
Glass-Box, Not Black-Box
We show you exactly what the model includes and what it leaves out, and we share the underlying numbers. You see why a zone scored the way it did, not just a figure to trust on faith.
Built for High-Stakes Expansion
Built for large, multi-location operators, where clarity, defensibility, and executive confidence are non-negotiable.
Our Site Selection Methodology
Tupll applies rigorous data engineering, advanced modeling, and executive-grade interpretation to site evaluation. The result is a site suitability scoring model you can rely on.
Data Collection & Integration
All we actually need from you is your historical revenue by year and your current addresses. From there we build the rest from the outside in: demographics and psychographics, local business density, commercial activity, consumer mobility, economic and regulatory context, and industry-specific performance factors.
Feature Engineering & Weighting
We test the full set of consumer, business, and economic signals around your locations, keep only the factors that actually predict performance for your brand, and weight each one by how much it matters.
Predictive Modeling
We run several machine learning models, each strong at a different part of the curve, and combine their scores so the final number holds up from more than one angle.
Scoring & Prioritization
Every potential site receives a standardized score that reflects viability, risk, and strategic value, making comparisons objective and defensible.
Validation & Backtesting
We hold out a portion of your real locations, predict them blind, and check the model against what actually happened. If the error is still too wide, the model retrains itself and repeats until the numbers come in tight.
Executive Interpretation Layer
We translate the model's outputs into clear recommendations aligned with your expansion strategy, budget, and internal decision patterns.
See How Tupll Works
A short walkthrough of our site selection methodology, from raw data signals to decision-ready location scores.
Who Does What?
Site selection from A to Z is a complex and involved process on many levels. You may be wondering how bringing Tupll on board will fit in with your existing site selection process. Here's a typical breakout of roles for a given project:
Tupll's Role
Our experience has shown us that neighborhood factors account for about 80% of a prospective site's ultimate success. Our site selection services cover these functions:
- •Trade area delineation
- •Neighborhood mapping
- •Neighborhood statistics gathering
- •Demand-side indexing
- •Site suitability scoring
- •Catchment analysis
Your Real Estate Team's Role
Meanwhile, we leave the "last mile" analysis to your team or other external partners, including:
- •Parcel-level feasibility
- •Zoning and entitlement review
- •Environmental and Geotech flags
- •Infrastructure readiness assessment
- •Utility load calculations
- •Civil engineering pre-con review
Your Finance Team's Role
Finally, your financial team will be in charge of these important tasks:
- •Sitework cost estimation
- •Pro forma cost modeling
- •CapEx forecasting
- •Budget-to-build alignment
- •GC bids
- •GC value engineering
- •Critical path scheduling
In short: Tupll's role is to provide you with an iron-clad analysis of the latent demand in the area based on data signals you are likely not already analyzing. Your team's role is to make sure specific properties, buildings and facilities fit your needs - both technically and financially. By taking the neighborhood analysis piece off of your hands, you can free your time and resources to carry out these other very important activities.
We never tilt you toward a specific building, and we do not even check what is available, so there is no conflict of interest. We see things in the data that are hard for you to see. You know your brand. Both matter, and we keep those roles separate on purpose.
What a Tupll Project Looks Like
Our service is designed for growth and real estate, site selection, and geographic expansion leaders and teams who seek clarity, speed and strategic alignment - not complexity.
Data Intake & Environment Modeling
We analyze the revenue performance of your existing locations against key success-correlated consumer and commercial factors around each one.
Model Development & Calibration
We build you a 100% custom Tupll site selection model, incorporating a blend of multiple top machine learning models using supervised learning.
Market & Site Scoring
We put your new model to use, evaluating candidate locations along the same dimensions as your model.
Executive-Level Insights Delivery
You receive a revenue prediction score, key location statistics and heat maps for each evaluated location.
Advisory & Ongoing Support
We partner with your team to interpret findings so that your team can secure available land and facilities opportunities within your top revenue location zones.
Insights & Deliverables
Your Tupll engagement produces decision-ready outputs designed for executives, boards, and real-estate teams.
Market Viability Heat Map
Color-coded view of expansion potential across regions, metros, or micro-trade areas.
Location Scorecard
A standardized assessment of each candidate site, including viability drivers, risk factors, and demand indicators.
Scenario Forecast & Ranking
Comparisons of short-list locations with modeled performance under different assumptions.
Executive Strategy Summary
A concise, board-ready narrative explaining where to grow, why, and in what sequence.
Most of these outputs are there for reference: coordinates, household and business counts at each radius band, and the drivers behind the model. The one number that matters most is the revenue prediction score for each location.
How Pricing Works
Ready to talk pricing? Our approach is simple and transparent. We charge a one-time fee for model development. Moving forward, you simply pay for the evaluation of individual sites on a per-site basis (minimum order size limits apply).
Pricing starts at:
New model development (one-time fee):
For brands with existing locations
This approach applies a combination of traditional statistical analytical methods, geographical information system mining, mapping and supervised machine learning to neighborhood consumer and business factors.
For brands building or leasing their first location
This approach applies all of the techniques used for brands with existing locations, except for supervised machine learning.
Ongoing site evaluations (paid on a per-batch basis):
Minimum batch size of 9 locations
* All pricing is subject to change without written notice. Please check with our customer success team for the latest pricing.
ROI Calculator
Estimate 5-year incremental profit & ROI from choosing better locations with Tupll.
One-time model development fee.
$120 per location (paid per batch). Minimum batch size 9.
You can paste values with $ and commas.
Example: 20 = 20% profit margin.
Lift applies to revenue; profit is computed using your margin.
Results
5-year horizon- Model fee
- $12,999
- Evaluation fee
- $1,080
- Total investment
- $14,079
- Incremental annual profit
- $—
- 5-year incremental profit (return)
- $—
- Net gain (return − investment)
- $—
- ROI, First 5 Years
- —
- Estimated payback period
- —
Building Your First Location?
Our flagship modeling methodology involves analyzing your existing locations. However, we also build site selection models for brands building or leasing their first property. Ask us how we do it!
Who We Serve
Tupll is built for enterprise decision-makers who need strategic clarity and defensible analytics.
Multi-Location Consumer Brands
Retailers, healthcare groups, wellness & fitness brands, and service networks expanding into new trade areas.
Commercial Real Estate & Development Teams
Organizations that require predictive clarity when evaluating complex markets and high-value projects.
Growth-Stage Organizations
Companies with evolving product mixes and emerging geographic footprints that need structured market intelligence.
Our Ideal Clients
Ambient Array's focus is on evaluating the neighborhood around your candidate locations to assess revenue potential based on area factors. We work best with clients who employ internal teams who are prepared to connect with local market realtors or to inquire directly about available properties.
Tupll is the right fit for multi-location operators who already have a few years of revenue history and treat each location as a serious investment. It is not the right fit for a single first location you have already chosen, or for very small or brand-new businesses. And it does not replace the tools you already use. Layer it on top of them as a more rigorous layer of intelligence.
Client Results & Testimonials
One of our longest-tenured clients has trusted Tupll for about 15 years, growing from a handful of states to eight while we modeled each new market. When a company three times its size acquired the business, that larger company compared notes and then switched its own stores to the methodology we built. Years later, the vast majority of our predictions still land within a tight range.
Jed Jones is one of the most talented machine learning professionals I've had the opportunity to work with. The solutions he delivered fundamentally changed how we sourced and evaluated new properties for expansion. His ability to uncover actionable insights from complex data created measurable business value and significantly improved our decision-making process.
Mark L.
Director of Data & AI, National Building and Roofing Solutions Company
We have engaged Jed and his team several times over the past seven years. The work he has done for us has included greenfield/new market analyses, as well as analytics that helped us determine whether we should purchase a competitor's existing location. We highly recommend Jed and his team for site selection and geographical market analysis projects. The investment has paid for itself many times over.
Victor S.
Owner & CEO, Roofing and Home Solutions Company Operating in Midwest/Northeastern US
I enlisted Tupll services when I was evaluating whether to purchase a new chiropractic location from the franchiser. I was able to evaluate multiple zones within my chosen market and I ended up choosing one in the Tupll-recommended zone. This turned out to be a very wise investment. The location was built, grown and then resold later to another franchisee for a very hefty profit.
Dustin S.
Investor and Multiple Business Owner
My client manages a multi-tenant building located in a strip mall that had a hard-to-fill vacancy. With their analytics approach, Tupll was able to recommend the appropriate type of business to go into that vacant unit. On that advice, we executed our prospective tenant outreach activities around this target industry type. Having that report in hand made the lease happen much, much faster and helped us anchor the right client. The tenant has been thriving in this location ever since.
Francoise L.
Agency Owner
Straight Answers to the Questions We Hear
Before signing on, most teams push back with the same few questions. Here are honest answers.
"We know our markets better than any dataset."
You know your brand better than we ever will, and that is exactly the point. What no one can hold in their head is an entire market. Within a single metro there are many zones, and performance varies widely between them. We look objectively at where your locations have done well and poorly, then apply that pattern to areas you have not entered yet. You bring the brand knowledge; we bring the data work that is hard to do by hand. We also stay in our lane and leave the on-the-ground decision to you.
"Isn't this just napkin math, a radius with a logo on it?"
No. This is roughly a ten-stage process. For every zone we evaluate, we pull 40 to 50 variables across multiple radius bands, the kind of location-level data most teams cannot easily get. We use traditional statistics to find which variables actually matter for your brand, then run several machine learning models and combine them into one predictive score. The techniques are well established. What is new is being able to pull this much data at a specific point on the map and model it this precisely.
"How accurate is it, really?"
Very, with one honest caveat. The score reflects the relative health of a location based on who and what is around it. It will never be the exact revenue figure, because the rest still depends on you: choosing a practical, accessible building and running it well. When those are in place, our predictions land in a tight range. When we have gone back years later to check, the few that missed had specific reasons, like a weak manager. We would rather tell you that than overpromise a number.
About Tupll
Tupll is a product created by the minds at Ambient Array, a full-service, data-infused advertising agency specializing in predictive modeling, market intelligence, and executive-grade decision enablement. We combine advanced data engineering with clear, strategic interpretation. We give CEOs and leadership teams the insights they need to grow with confidence.
Get Started with Tupll
Ready to make confident expansion decisions? Contact us today and catch us up on where you are in your site selection journey. Fill out the form below or call: 512-521-6791 during business hours (9AM - 5PM CT).
Start Your Location Analysis
Expansion decisions carry weight, with potential millions of revenue dollars at stake. Tupll gives you the clarity to act decisively on new builds or leases by combining rigorous analytics with advisory-level guidance. If you're planning new locations - or just want a more defensible, data-driven strategy - Tupll can help.