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Site selection guides

Guides on how expansion teams decide where to open next, covering trade areas, cannibalization, scoring, demographics, competition, and the software that does it.

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Compare software and alternatives

Best Site Selection Software for Retail Expansion (2026)A neutral guide to the best site selection software for retail expansion: foot-traffic panels, enterprise GIS, and turnkey scoring platforms compared by explainability, trade-area method, cannibalization, and price.How to Evaluate Site Selection SoftwareA buyer framework for evaluating site selection software: explainability, trade-area method, data freshness, cannibalization, the brief output, GIS-team requirement, and questions to ask a vendor.Best Site Selection Software for Small Expansion TeamsThe best site selection software for small expansion teams is self-serve, affordable, and produces a defensible recommendation without a GIS department: explainable scoring, drive-time trade areas, competition, and cannibalization.How to Replace Spreadsheet-Based Site ScoringMove off Excel and Google Sheets site scorecards without losing the weighted, explainable model. What to keep, what live data, drive-time, and cannibalization to add, and how to migrate your weights.Alternatives to Site Selection ConsultantsWhen site selection software beats a paid market study, and when a consultant or broker is still worth it. Compare cost per site, speed, and repeatability, plus the hybrid approach for retail site studies.Location Intelligence Tools for Multi-Location ExpansionLocation intelligence splits into data platforms you analyze yourself and decision tools that score sites. What multi-location teams need, and how to choose by maturity.GIS vs Location Intelligence in Retail Site SelectionGIS is a spatial toolkit that assumes expertise; location intelligence is applied analytics; site selection software is the decision layer. How to tell them apart and pick.Trade Area Analysis Software: How to ChooseThe three categories of trade area analysis software (foot-traffic panels, GIS toolkits, turnkey scoring), what to look for, and whether you need a GIS team.Cannibalization Analysis Software for Retail Site SelectionSoftware that scores retail sites with cannibalization analysis: what to look for (drive-time overlap, demand weighting, net-new vs transferred demand) and how the main tools compare.AI Tools for Retail Real Estate: What Is Real, What Is HypeAI for retail real estate spans deal sourcing, lease abstraction, valuation, and site selection. Where explainable site scoring fits, and the trust gap behind black-box AI.Placer.ai Alternatives for Site Selection (2026)The best Placer.ai alternatives by job: observed foot-traffic data (Unacast, SafeGraph, Foursquare), lower-cost mobility (PassBy, StreetLight), and turnkey site scoring (Geod, GrowthFactor, SiteZeus, Buxton).SiteSeer Alternatives for Site Selection (2026)A fair guide to SiteSeer alternatives: what SiteSeer is strong at, and how SiteZeus, Buxton, Kalibrate, Tango, PiinPoint, Esri, and Geod compare for retail and c-store site selection.GrowthFactor Alternatives for Site Selection (2026)A fair guide to GrowthFactor alternatives: what GrowthFactor is strong at, and how Geod, SiteZeus, Buxton, SiteSeer, Placer.ai, and Esri compare for site selection, by need.

Scoring, briefs, and demographics

What Is an Explainable Site Selection Score?An explainable site selection score traces a location score to named components (reach, demand, competition, accessibility), documented data sources and vintages, and visible weights, so a committee can challenge and defend it.Site Selection Criteria: A Checklist for Multi-Unit OperatorsThe decision criteria for retail, restaurant, and healthcare sites: hard gates (zoning, access, parking, territory) vs scored criteria (reach, demand, competition, accessibility), and how to weight them.What Data Goes Into a Retail Site Selection BriefA retail site selection brief should include the trade area definition, demographics and demand, competition and co-tenancy, accessibility and traffic, cannibalization, a weighted score, and every data source with its vintage date.Site Selection Brief TemplateThe standard sections of a defensible site selection brief and how to fill each: recommendation, trade area, demand, competition, cannibalization, the weighted score, sources, and confidence.Demographic Site Analysis in Site SelectionDemographics are not demand unless filtered by category fit, trade area, daypart, access, and customer profile. How to turn population and income into demand-relevant inputs for a site score.New Store Sales Forecasting for Site SelectionForecasting sales for a new location: analog stores, AUV ranges, ramp curves, cannibalization-adjusted (net-new) forecasts, confidence, and post-opening validation. Treat a forecast as a range, not a point.Site Screening vs Sales Forecasting: What Each Model DecidesScreening filters many candidate sites quickly; forecasting sizes the survivors. Why you need both, and how a score, forecast, overlay, and recommendation fit together.Post-Opening Validation: Was the Site Selection Model Right?Close the loop: compare forecasts and scores to actuals after opening, measure error (MAPE), track ramp vs predicted, and recalibrate. What makes a site model trustworthy over time.

Trade areas and competition

Drive-Time Trade Areas: Tools That Use Traffic Patterns and Census DemandWhich tools calculate drive-time and walk-time trade areas with traffic, and how to get from a polygon to the demographics and competition inside it.Drive-Time vs Radius Trade Areas: Why Distance Is Not AccessA radius ignores roads, barriers, and traffic; a drive-time or walk-time trade area reflects who can actually reach a site. The four trade-area methods compared, and when each fits.Catchment Area vs Trade Area AnalysisCatchment area and trade area are near-synonyms for the area a site draws customers from. The terms reconciled, primary vs secondary catchment, and how each is built.DMA in Site Selection: What a Designated Market Area Is and When It MattersA Designated Market Area (DMA) is a Nielsen media-market boundary. How a DMA differs from a trade area, when it helps in expansion, and when it is too coarse to choose a site.Foot Traffic Data in Site Selection: How to Use It Without Over-Trusting ItFoot traffic is an input, not a decision. What mobility data is good for, its limits (panel bias, POI error, coverage, attribution), the greenfield problem, and how to validate it.Competitor Analysis in Site SelectionCompetitor density is not enough. A framework for analyzing direct competitors, substitutes, complements and co-tenants, saturation, and white space, weighted by access, format, channel, and daypart.Co-Tenancy Analysis in Site SelectionCo-tenancy is more than who is nearby. Analyze anchor stability, trip mission, daypart overlap, cross-shopping, and lease-risk scenarios, and feed it into a trade-area-aware site score.How to Map Competition Density and Anchor Tenants AutomaticallyA workflow for mapping competitor density and anchor tenants: POI data sources, density heatmaps, co-tenancy inside a drive-time trade area, and turning the map into a decision.

Cannibalization, saturation, and white space

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