Small business owners choose locations based on gut feel or simply avoiding competition, missing the counterintuitive insight that clustering near demand centers outperforms spreading out. Enterprise chains like Starbucks have internal analytics teams for this; SMBs do not.
A SaaS tool that overlays foot traffic data, competitor density, distance decay modeling, and demographic data on a map. Users input their business type and get scored location recommendations, cannibalization risk analysis, and demand density heatmaps.
Subscription - $49-199/mo tiered by number of location analyses and data depth
Location is the #1 or #2 determinant of success for physical businesses, and a wrong choice is catastrophic (locked into a 5-10 year lease). However, this is an infrequent decision—most SMBs pick a location once or a few times. The pain is intense but episodic, which limits daily engagement. The Reddit thread (337 upvotes) confirms the 'aha moment' around clustering vs. spreading out is real and resonant.
~600K new restaurants and retail businesses open in the US annually. If 10% would pay $99/mo for even 3 months of analysis, that's $21M ARR addressable just from new openings. Add franchise operators (estimated 750K+ franchise units in the US), commercial real estate brokers using it as a value-add, and international markets, TAM could reach $500M-$1B. Not a tiny niche, but reaching fragmented SMBs is expensive.
SMBs about to sign a $5K-$50K/month lease will rationally pay $99-199/month for location intelligence—the ROI math is obvious. BUT: SMBs are notoriously price-sensitive, many won't pay for software they use briefly, and the 'gut feel' bias is strong. Commercial real estate brokers and franchise consultants (who could bundle this) have higher WTP and could be a better initial wedge. One-time report pricing ($299-$499) may outperform subscriptions for pure SMB buyers.
A solo dev can build the map UI and scoring engine in 4-8 weeks. The hard part is data: foot traffic data (Placer, SafeGraph/Dewey) costs $500-5K/month minimum for API access, demographic data (Census is free but stale, Esri is expensive), and POI data needs licensing. You'll burn $1-3K/month on data costs before your first customer. The distance decay modeling and clustering algorithms are well-documented academically but need tuning per business category. Feasible but data costs create a meaningful floor.
This is the strongest signal. Every existing player is enterprise-only. There is literally no self-serve, sub-$200/month site selection tool that an independent restaurant owner can use without a GIS degree. The gap is enormous and well-defined. The risk is that Placer.ai or similar launches a downmarket tier (they've hinted at it), but incumbents historically struggle to serve SMBs due to cost structure and sales motion mismatch.
This is the biggest weakness. Site selection is fundamentally a one-time or episodic decision. A single-unit owner picks a location and churns. To build recurring revenue you'd need to pivot toward ongoing trade area monitoring, competitor alerts, expansion planning for multi-unit operators, or bundling with other SMB tools. Franchise operators and CRE brokers are the only segments with naturally recurring need. Pure site selection as subscription will have brutal churn—expect 15-25% monthly for single-unit SMBs.
- +Massive, well-defined gap between enterprise tools ($25K+/yr) and nothing—classic 'consumerize the enterprise' opportunity
- +Location decisions are high-stakes and irreversible, making the value proposition easy to articulate
- +The distance decay / clustering insight is genuinely counterintuitive and creates strong 'aha' marketing moments
- +AI/LLM interfaces now make it possible to build a 'talk to your data' UX that eliminates the GIS learning curve
- !Episodic use = high churn. Without a retention hook beyond initial site selection, you're building a leaky bucket that requires constant new customer acquisition
- !Data costs ($1-3K/month minimum) create a floor that makes the unit economics tight at $49-199/month, especially with low initial volume
- !Placer.ai has publicly discussed launching SMB tiers—if they execute, they have 10x the data moat and brand recognition
- !SMB go-to-market is expensive and fragmented—no single channel reaches 'people about to open a restaurant' efficiently
Location intelligence platform providing foot traffic analytics, trade area analysis, and competitive benchmarking using mobile location data
AI-powered site selection and market planning platform for multi-unit brands, offering revenue forecasting, trade area optimization, and cannibalization modeling
GIS platform with demographic data, site suitability analysis, trade area analysis, and custom mapping for location decisions
Customer analytics and site selection consultancy/platform that combines consumer data with predictive models to identify ideal locations for retail and restaurant brands
Location data providers offering foot traffic, mobility patterns, and point-of-interest data via API and dashboards
Skip the subscription model initially. Build a one-time location report generator: user enters business type + 1-3 candidate addresses, gets a scored comparison report (PDF or web) with a heatmap, competitor density analysis, distance decay visualization, and a clear recommendation. Use Census data (free) + OpenStreetMap POI data (free) + Google Places API (affordable) to keep data costs near zero for MVP. Charge $99-$299 per report. Add foot traffic data as a premium upsell once you validate demand. Target franchise operators and CRE brokers as distribution partners, not individual shop owners directly.
Free heatmap explorer (lead gen) -> $99-299 one-time location reports -> $149-299/mo subscription for multi-unit operators and franchise consultants -> $499-999/mo for CRE brokers with white-label reports -> Enterprise/API tier for franchise brands at $5K+/mo. The key pivot: shift from 'site selection tool' to 'location intelligence platform' that CRE brokers and franchise consultants resell to their clients.
6-10 weeks to MVP with free/cheap data sources. First revenue in 8-14 weeks if you target CRE brokers or franchise consultants directly (they have immediate, recurring need and higher WTP). Going direct to individual SMB owners will take 3-6 months due to longer education cycle and fragmented acquisition channels.
- “Early on I tried spreading out thinking less competition was better, but the places with more activity usually ended up being easier to win work in”
- “Distance decay is one of the most important concepts to understand in real world business and site selection”
- “positioning close to where demand already exists instead of trying to create it somewhere new”