.svg)
The 10 best retail site selection software in the US (2026)
Huq is our product. Here's how we compared everyone, including us.
Retail site selection software helps retailers decide where to open, relocate or close stores by scoring sites on foot traffic, catchment, demographics, competition and forecast sales. This guide compares ten retail site selection software options for US franchise and multi-unit retailers in 2026.
The tools fall into three groups. Evidence tools such as Huq and Placer.ai measure how candidate sites actually perform. Workflow and forecasting platforms such as SiteZeus, Tango and GrowthFactor model sales and manage the pipeline from shortlist to opening. GIS tools such as Esri Business Analyst and CARTO handle mapping and trade area modeling. Strong setups often combine two of the three.
We wrote this list and Huq is ranked first for branded retail chains, retail property teams and investors who need evidence on how sites perform, because it is built to give the broadest set of location data across 35 markets. Forecasting tools suit brands that want a sales number per site. Every entry lists pros and cons, with sources.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Quick answer
For retail chains, retail property teams and investors, start with Huq, built to give the broadest set of location evidence across 35 markets. For franchise forecasting, try SiteZeus; for a forecast trained on your own stores, GrowthFactor; for GIS trade areas, Esri Business Analyst.
Retail site selection software compared
What each tool is built for, where it covers, the level it works at and what stands out.
In this guide
How we evaluated
- Where the answer comes from: observed visits, a sales model trained on your stores, or demographics.
- Evidence on any address: whether you can assess candidate and competitor sites without hardware or site access.
- Forecasting and workflow: sales forecasts, pipeline tracking and franchise development tools.
- Skill needed: whether real estate teams can use it directly or need GIS or data specialists.
- Testing: whether the vendor will score your existing stores so you can check results before you sign.
The best retail site selection software for franchise and multi-unit retailers
1. Huq: best for branded retail chains, retail commercial property teams, and investors and private equity evaluating retail brands and retail assets.
Choosing a retail site means reading a location from several angles at once. Huq is built to give site selection teams the broadest set of location data for that job, across 35 markets including the US, in one platform. For any candidate or competitor address, you get footfall by week, month and year (total and average daily foot traffic, trends, period-on-period change, visiting versus passing traffic), plus residents versus visitors, catchment and drive-time and travel-time analysis.
Behavior shows how a site is used: visit frequency, dwell time, time of day, international visitation for tourism, and cross-visitation with your existing stores to check overlap before you open. Footfall density, transportation mode, POIs, brand locations and brand analysis, industry performance and shopping center and retail center types show what surrounds the site, and White Space Analysis maps pedestrian flow across city grids. Demographics (age, gender, purchasing power) and geo-spend by volume and category are available in selected markets.
Huq manually validates more than 1,000 locations in each market twice a year, and data refreshes weekly. Projects tracks shortlisted sites from not started to closed. Results go to committees and landlords as CSV or Excel exports and monthly PDF location reports, or to data teams as Parquet and CSV feeds into Amazon S3 or Google Cloud Storage. As supporting evidence, JD Sports, a UK retailer, reported 25% more precise catchment analysis and 18% lower new-store location risk using Huq.
Pros
- Evidence on any candidate or competitor address, with no hardware or site access
- The broadest site picture in one platform: footfall, residents vs visitors, catchment, drive time, behavior, density, brands and industries
- Cross-visitation shows overlap with your existing stores before you open
- 35 markets, with more than 1,000 locations manually validated in each twice a year, for expansion across borders
- Projects, monthly PDF location reports, exports and Parquet and CSV feeds into S3 or GCS take shortlists to a decision
Cons
- Doesn't produce sales forecasts, so pair it with a forecasting tool or your own model if you need a revenue number per site
- Newer to the US than US-native vendors such as Placer.ai
- Demographics and spend are available in selected markets only, so check availability for each market you need
2. Placer.ai: best for US-only expansion teams comparing candidate sites on visits and trade area reach.
Placer.ai (Placer Labs Inc.) is a US foot traffic analytics company with 4,000+ customers across retail, commercial real estate, local government, CPG, restaurants, finance and advertising. It estimates visits from a mobile location panel of tens of millions of devices and uses machine learning to extrapolate them to properties, chains, markets and regions, drawn on property-level polygons. Teams work in the analytics dashboard, with CSV, PDF and SHP exports, call the API, or take data feeds through the Placer Marketplace, Snowflake and AWS. A Data Marketplace layers on partner datasets such as sales estimates, demographics, business counts and consumer expenditure. Coverage is the United States only.
Placer is on this site selection list because any US commercial address, including competitor sites, can be analyzed before you sign. Partner sales estimation data brings it closer to a forecasting workflow, though it doesn't train a forecast on your own stores. Placer also publishes a retail site selection guide built around six factors. Huq offers the same evidence-led approach, observed footfall, catchment and benchmarking, across 35 markets for cross-border expansion.
Pros
- Any US commercial address can be analyzed, including competitor sites
- Visits, dwell and trade area reach for comparing candidate sites
- Data Marketplace adds sales estimation and demographics
- Strategic partnership with Esri for GIS users
Cons
- Covers the US only, so cross-border expansion needs a second provider
- Locations with fewer than 50 unique devices are hidden, which can limit low-traffic sites
- Doesn't build a sales forecast trained on your own stores
- Full access is a custom subscription; a Capterra reviewer calls it "expensive but worth the cost"
3. Esri ArcGIS Business Analyst: best for GIS analysts who need demographics, suitability analysis and drive-time trade areas.
ArcGIS Business Analyst is Esri's location-based market intelligence software, built on the ArcGIS platform. It combines demographic, consumer spending, business, lifestyle and census data with map analysis for site selection, market planning and territory design: over 15,000 variables from more than 170 countries, 2,000+ US demographic variables, 67 Tapestry segments and 13M+ US businesses, down to block group with five-year projections. POIs come from Foursquare Open Source Places, SafeGraph and Data Axle. It runs as a web app, mobile app, desktop app inside ArcGIS Pro or on premises, and higher tiers add void, suitability and Huff model analysis. Users include GIS teams, market analysts, real estate, healthcare and government.
Business Analyst is a long-standing choice for retail real estate teams with GIS skills: void and suitability analysis find gaps in a market, and the Huff model estimates a store's share of nearby demand. G2 reviewers rate it 4.6 out of 5. Its traffic counts come from Kalibrate and measure vehicles. Huq adds observed footfall, catchment by ZIP code and drive-time analysis for candidate sites across 35 markets, without GIS training.
Pros
- Void, suitability and Huff model analysis for finding and sizing gaps
- 15,000+ variables, 67 Tapestry segments and 13M+ US businesses
- Five-year demographic projections down to block group
- Rated 4.6 out of 5 on G2, with high support scores
Cons
- No foot traffic dataset of its own; its traffic counts come from Kalibrate and measure vehicles
- Reviewers cite a GIS learning curve for non-specialist users
- Many online tasks use credits, which G2 users find confusing
4. SiteZeus: best for franchise and multi-unit brands that want forecasting plus franchise development workflow in one platform.
SiteZeus is AI site selection and franchise development software for franchise and multi-unit brands, based in Tampa, Florida. In May 2026 it relaunched its flagship Locate product as Atlas, covering white space, revenue forecasting, territory design and lease-to-opening management with a conversational AI layer, and Zeus.ai explains forecasts in plain language. A 2023 merger with Synuma added Sell, a franchise sales CRM, and Build, for managing unit openings. SiteZeus bundles third-party data through its Olympus Data Exchange rather than collecting its own, and in 2025 added Dataplor foot traffic estimates, card spend data and enhanced demographics. Customers shown include Raising Cane's, Crumbl Cookies, Driven Brands, White Castle and Gold's Gym.
SiteZeus is on this list because it covers the whole franchise expansion path, from market plan to franchisee to opening, in one platform, and it says its client base grew 25% in 2025. Its examples are US cities, international coverage isn't stated, and G2 shows one review for Locate. It suits brands that want a sales number per site. Huq suits teams that want observed evidence behind a site decision: footfall, catchment, drive time and benchmarking across 35 markets.
Pros
- Atlas combines white space, revenue forecasts and territory design
- Sell and Build cover franchise sales and unit openings in the same platform
- Zeus.ai explains each forecast in plain language
- Customers include Raising Cane's, Crumbl Cookies and Driven Brands
Cons
- Bundles third-party data, including Dataplor foot traffic, rather than measuring visits itself
- US-focused; international coverage isn't stated
- Few public reviews (one on G2 for Locate) and no public pricing
5. Audiense In-Person (formerly Buxton): best for US healthcare, restaurant and hospitality planners that want site scoring and market prioritization.
Audiense In-Person is the location product of Buxton, a customer analytics and site selection firm working in the US since 1994. Buxton acquired Audiense in March 2025, and in July 2025 Buxton, Elevar and Audiense united under the Audiense name. The product covers site scoring and trade area analysis, market optimization for ranking expansion markets, foot traffic trends, territory optimization for franchise growth, and customer profiling with lookalike audiences. Its SCOUT web platform helps users plan how many locations a market supports, score sites on nearby consumers and competitors, and spot locations that underperform their forecast. It draws on 50+ data sources, including 44 billion foot traffic data points for retail POIs.
Audiense belongs on a retail site selection list for its long track record in site scoring, with 36 healthcare industry models and SOC 2 Type II and HITRUST attestation. Named customers include Cooper University Health Care and Red Wing Shoes, and its analysis covers the US. Foot traffic is context for its scores rather than a standalone dataset. Huq supplies observed footfall and catchment for candidate sites and competitors across 35 markets, which can sit alongside a scoring model or check its output.
Pros
- Site scoring, market ranking and territory tools in one product
- 50+ data sources, including foot traffic for retail POIs
- Healthcare planning with 36 industry models
- SOC 2 Type II and HITRUST attestation
Cons
- Covers the US only
- The Buxton brand now redirects to Audiense, so expect product and contract names to change
- Foot traffic is positioned as context for scoring rather than a standalone dataset
6. Kalibrate: best for fuel, c-store, grocery and restaurant brands that want forecasting backed by consulting.
Kalibrate sells location intelligence and fuel pricing software, backed by analytics services. Its roots go back to MPSI in Tulsa in 1970 and KSS in Manchester in 1993; it took the Kalibrate name in 2013 and acquired TAS in 2020, Intalytics in 2021 and IMST in 2023. Kalibrate Location Intelligence is its platform for centralized location decisions, and Competitive Insights adds foot traffic data on your sites, customers and competitors. Analytics services cover predictive modeling, whitespace analysis, site evaluation and EV charger strategy. It serves retail, restaurants, fuel and convenience, grocery, healthcare and franchise brands, with 1,000+ clients.
Kalibrate belongs on this list for brands that want forecasts built with analysts alongside the software, and its long record in fuel, c-store, grocery and restaurant networks shows in customers such as Five Guys, Raising Cane's, Aldi, Home Depot, Circle K and Wegmans. It also supplies the US vehicle traffic counts used in Esri Business Analyst, so ask how foot traffic is sourced in your markets. Huq is self-serve rather than services-led, with observed footfall and catchment across 35 markets.
Pros
- Software plus analytics services for forecasting and site evaluation
- Long track record in fuel, c-store, grocery and restaurant networks
- Supplies the US vehicle traffic counts used in Esri Business Analyst
- Customers include Home Depot, Aldi, Circle K and Wegmans
Cons
- Services-led, so expect a consulting engagement rather than pure self-serve
- Its best-known traffic counts measure vehicles; ask how foot traffic is sourced in your markets
7. Tango Analytics: best for real estate teams that want machine learning site models, sales forecasts and omnichannel analysis in one workflow.
Tango Analytics offers site selection software within its Tango Real Estate for Retail suite. The software puts your portfolio, candidate sites and competitors on a GIS map, with data layers for finding concentrations of target customers. Site modeling uses machine learning to identify the factors behind store performance and supports 1:1 site comparisons, while sales forecasting predicts store performance to help prioritize opportunities. Trade areas are defined as primary, secondary and tertiary zones based on distance or drive time, and Tango scores each site and trade area. An omnichannel module uses customer data to measure how physical stores affect online sales and to find concentrations of online customers.
Tango is on this list because it combines site models, sales forecasts and real estate workflow in one suite, and it names Captain D's Seafood Kitchen, Advance Auto Parts and H&M among its customers. It draws on real estate data, third-party datasets and your own customer data, though its site selection page doesn't name the data providers or publish forecast accuracy. Huq can add observed catchment by ZIP code, not only distance or drive-time rings, plus weekly footfall for candidate sites across 35 markets.
Pros
- Machine learning site models with 1:1 site comparisons
- Sales forecasting to rank opportunities
- Omnichannel analysis of how stores affect online sales
- Customers include H&M and Advance Auto Parts
Cons
- Trade areas are based on distance or drive time rather than observed visitor origin
- Its site selection page doesn't publish forecast accuracy or name its data providers
8. GrowthFactor: best for expansion teams with 40+ stores that want a sales forecast trained on their own stores, with the reasoning shown.
GrowthFactor is a site selection platform that builds a sales forecast from a brand's own stores and applies it to candidate sites. Each forecast shows its reasoning input by input, with the dollar effect of factors such as morning foot traffic or a nearby competitor. Custom evaluators score sites against a plain-language brief and record which data they trusted least, and you can load your own model, or another vendor's, and compare it on the same site. Users can compare up to three sites, check trade area overlap and cannibalization, and export studies to PDF or Excel. Discovery is free for brands with 40+ stores, Enterprise adds deal tracking, and Labs is a custom forecast built over a few months.
GrowthFactor belongs on this list because it ranks for retail site selection searches and takes a transparent approach to forecasting. Named customers include Books-A-Million and Cavender's, which GrowthFactor says opened 19 and 27 stores in 2025. It notes that its foot traffic input is a relative signal, not a headcount, and its examples are US locations. Huq supplies observed footfall and catchment across 35 markets, which can feed or check a forecast.
Pros
- Forecast trained on your own stores, with each input explained
- Compare your own or another vendor's model on the same site
- Trade area overlap and cannibalization checks
- Discovery tier free for brands with 40+ stores
Cons
- The custom forecast takes a few months to build
- Its site examples are US locations
- Like Huq, it publishes comparison content about other vendors on this list
9. PiinPoint: best for north American brands that want site scoring and a broker submission portal.
PiinPoint is a location intelligence platform for expansion planning that describes itself as fast, intuitive and affordable. It combines predictive analytics for store sales forecasts and cannibalization modeling, site scoring that identifies which attributes drive a location's performance, and network planning for growth roadmaps. Sitematch is a free submission portal where leasing reps and brokers submit properties, which are organized, enriched with location data and scored automatically. The platform includes thousands of data points across demographics, traffic counts, mobile location and geosocial data, and a partnership with Environics Analytics adds Canadian datasets such as DemoStats and HouseholdSpend. PiinAI acts as a research assistant.
PiinPoint is on this list for North American brands that handle a steady flow of broker submissions and want them scored consistently. Brands shown include Popeyes, Dairy Queen, Wendy's, Tim Hortons, Burger King and JLL, with case studies from Circle K and Capriotti's, and franchise and quick-service brands are well represented. Its homepage doesn't publish model accuracy. Huq adds observed footfall, catchment and benchmarking for candidate and competitor sites across 35 markets, including outside North America.
Pros
- Free Sitematch portal scores broker submissions automatically
- Sales forecasting and cannibalization modeling
- Canadian datasets through Environics Analytics
- Used by franchise brands such as Popeyes, Wendy's and Tim Hortons
Cons
- North American focus
- Its site scoring is described as directional, and its homepage doesn't publish model accuracy
10. CARTO: best for data science teams that want to build custom site models inside their own warehouse.
CARTO is a cloud-native GIS platform that runs inside Google BigQuery, Snowflake, Databricks, AWS Redshift, Microsoft Azure and Oracle, and lists site selection, territory planning and market analysis among its main use cases. Workflows provides 100+ low-code analysis components, including machine learning steps, so analysts can chain enrichment, scoring and catchment logic into repeatable pipelines. Builder turns results into maps for real estate committees, including from natural-language prompts, and the Data Observatory adds third-party data for enrichment. CARTO shows logos such as JLL, Coca-Cola, Unilever and Bain & Company, and offers a free trial.
For retail site selection, CARTO suits teams that already hold store sales, loyalty and licensed location data in a warehouse and want to build their own models rather than adopt a vendor's. The trade-off is that CARTO supplies the tools, not the foot traffic or demographic data, so the model is only as good as the data you bring, and it has no built-in deal pipeline. Huq can supply that data as Parquet or CSV feeds into S3 or Google Cloud Storage, across 35 markets.
Pros
- Build site models on your own sales data without moving it out of your warehouse
- 100+ low-code Workflows components, including ML steps
- Builder maps results for real estate committees
- Free trial available
Cons
- You'll need foot traffic and demographic data from elsewhere
- Suits teams with data science or GIS skills more than real estate teams who want ready answers
- No built-in franchise or deal pipeline workflow
How to choose retail site selection software
Decide whether you need evidence, a forecast or both
Forecasting platforms such as SiteZeus, Tango and GrowthFactor give a sales number per site and manage the deal pipeline. Evidence tools such as Huq show how a site and its neighbors actually perform. Many multi-unit retailers use a forecast and check it against observed foot traffic.
Test it on stores you already know
Before you sign, ask the vendor to score stores you already operate and compare the results with your own numbers. A tool that misreads known stores will misread new ones.
Look at the real catchment, not just a ring
Drive-time rings show who could visit. Observed catchment shows who does. For franchise territories, it also shows where existing units already draw from.
Check overlap before you open
Cannibalization is a major risk for growing networks. Ask whether the tool measures visitors shared between sites or only models them.
Frequently asked questions
What is site selection for retail stores?
Retail site selection is the process of choosing where to open a store by weighing a location's foot traffic, catchment, demographics, competition, co-tenants and cost. Franchise and multi-unit retailers repeat it for every new unit, so most use software to compare candidate sites on the same measures.
How do I choose site selection software?
Decide whether you need observed evidence, a sales forecast or both. Ask each vendor to score stores you already run and compare the results with your own figures. Check where the data comes from, whether trade areas are observed or drive-time, and whether your real estate team can use it without GIS specialists.
Who does site selection for retailers?
Most retailers run site selection in-house through a real estate or franchise development team, using software and data vendors. Some add analytics services, such as Kalibrate's. Brokers and landlords also use site selection data to match vacant sites with suitable tenants, and investors use it to assess retail assets.
How accurate is retail site selection software?
It depends on the data and the model, so test it: ask a vendor to score stores you already run and compare with your results. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year. JD Sports, a UK retailer, reported 25% more precise catchment analysis and 18% lower new-store location risk with Huq.
What's the difference between site selection software and foot traffic analytics?
Foot traffic analytics measures places that already exist. Site selection software adds demographics and your sales history to rank or forecast new sites. Huq sits between the two: for any candidate area it covers footfall, residents vs visitors, catchment, drive time, behavior, density, brands and industries, plus demographics and spend in selected markets, and Projects tracks shortlisted sites to a decision.
Can site selection software predict cannibalization?
Several tools address it. SiteZeus and PiinPoint offer sales impact or cannibalization modeling, and GrowthFactor shows trade area overlap. Huq measures cross-visitation, the share of visitors two sites already share, for up to 10 location pairs at once, alongside residents vs visitors, catchment and drive-time analysis, so you can see overlap with existing stores before you open.
Questions? Talk to us
Book a demoSources
- Huq: platform
- Huq: Walmart sales validation study
- Huq: cross-visitation
- Huq: data feeds
- Huq: JD Sports case study
- Placer.ai: site selection analytics
- Placer.ai: FAQ
- Placer.ai and Esri partnership
- Esri ArcGIS Business Analyst
- Esri: Business Analyst data and reports
- Esri: Business Analyst buying options
- SiteZeus
- SiteZeus: Atlas launch
- SiteZeus: Dataplor foot traffic integration
- SiteZeus: Synuma merger
- G2: SiteZeus Locate reviews
- Audiense In-Person
- Buxton, Elevar and Audiense rebrand
- Kalibrate
- Kalibrate: company history
- Tango Analytics: site selection software
- GrowthFactor
- GrowthFactor: retail site selection software
- PiinPoint
- CARTO
- Placer.ai: retail site selection guide
- Capterra: Placer.ai reviews
- G2: ArcGIS Business Analyst reviews
- Esri: Foursquare data update in Business Analyst
- SiteZeus: 2025 growth announcement
About Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
Related guides
See how your locations really perform
Up to 5 locations. No cost, no commitment.