Why the Survival Rate of Brick-and-Mortar Businesses Isn't Increasing — Until Now
Nearly half of brick-and-mortar businesses still fail within a few years — not because owners are unprepared, but because location risk has remained invisible. Until now.
Why the Survival Rate of Brick-and-Mortar Businesses Isn't Increasing — Until Now
Nearly half of brick-and-mortar businesses still fail within a few years — not because owners are unprepared, but because location risk has remained invisible. Until now.
The survival rate of brick-and-mortar businesses has barely improved over the past decade — despite better data, more tools, and more technology than ever before. Entrepreneurs open restaurants, salons, retail shops, bakeries, and service businesses with passion and optimism, yet nearly half still fail within a few years.
That's not because business owners are underqualified or unprepared.
It's because location risk has remained largely invisible… until now.
🎯 StreetSpring's AI finally makes location survivability quantifiable — across major U.S. cities, neighborhoods, and commercial corridors.
🚫 Why Business Survival Rates Have Stagnated
Even as consumer spending increased and digital tools exploded, one thing hasn't changed:
Most founders still choose locations based on gut instinct.
They rely on:
- 👀 What looks like "good foot traffic"
- 🤝 Broker opinions
- 💭 Gut feeling about a trendy block
- 🏘️ Neighborhood reputations
- 🏢 A landlord's assurances
But data tells a different story.
⚠️ Two identical businesses can open 5 blocks apart — and have completely different odds of surviving.
Without data, business owners unknowingly choose locations with:
- 🎯 Hidden competition risks
- 💸 Weak spending potential
- 🚶 Low Walk/Transit/Bike Score influence
- ❌ Mismatch between consumer patterns and store type
- 📅 Seasonal or daytime-only demand
- 👥 Population segments that don't align with their customer base
StreetSpring's national analysis of hundreds of thousands of businesses shows the same pattern across nearly every major U.S. metro:
💡 Survivability isn't primarily about the business — it's about the location.
📈 Simplified Survivability Results
⚠️ The Problems That Keep Survival Rates Flat
1. Founders still underestimate location risk
Most first-time entrepreneurs evaluate a storefront emotionally:
- "It looks like a busy street."
- "Everyone says this neighborhood is growing."
- "I just need enough foot traffic."
But the data often shows the opposite.
2. Agents don't have tools that quantify survivability
Commercial agents can explain rent, zoning, and comps — but not survivability probability.
3. No national system exists for real survivability scoring
Before StreetSpring, nobody could calculate a location's predicted survival outcome using:
- 🎯 Competitor density & ratings
- 💳 Consumer spending behavior
- 🚗 Mobility patterns
- 🚶 Foot traffic composition
- 👥 Neighborhood demographic alignment
- 💵 Rent efficiency
- 🚇 Walk/transit accessibility
- 🏪 Business-type compatibility
- ➕ And 70+ more factors
Business owners had no way to know their chances of lasting 2+ years.
💔 Failed Business Location Example
🎯 The First National Survivability Score for Storefront Locations
StreetSpring solves this through a nationwide AI model trained on:
- 📊 Millions of commercial real estate data points
- 🏪 Hundreds of thousands of businesses
- 💰 Consumer spending + mobility + competitor layers
- 📈 Survivability history across major U.S. markets
This gives every founder and every commercial real estate agent:
🎯 A specific Survivability Score for any address in the U.S.
StreetSpring shows:
- ✅ Predicted likelihood of surviving 2 years
- ⚠️ Competitor risks
- 💳 Consumer expenditure alignment
- 🚶 Walk/Transit/Bike Score impact
- 💵 Rent efficiency ratio
- 🎯 Neighborhood match score
- 🏪 Primary, secondary, and tertiary competitor threats
Here's what the experience looks like:
📊 Survivability Details Table View
🚀 What This Means for Survival Rates
With nationwide survivability scoring:
- 💡 Founders finally see what makes one block viable and another deadly.
- 🎯 Agents can guide clients to higher-probability locations.
- 🏢 Landlords can discover which businesses are most likely to succeed in their units.
- 🏙️ Cities can understand where businesses are most sustainable.
Survival rates haven't increased because nobody has had the right data.
Now they do.
Frequently Asked Questions
What is a Survivability Score?
It's StreetSpring's AI-generated probability that a new brick-and-mortar business will survive its first 2 years at a specific address.
What data is used to calculate survivability?
The model uses 100+ proprietary factors, including consumer spending, mobility patterns, competitor presence, demographic alignment, rent efficiency, and neighborhood performance.
Is this available nationwide?
Yes — the system covers all major U.S. metros and continuously expands into new commercial corridors.
Who uses survivability scoring?
Commercial real estate agents, entrepreneurs, franchise operators, landlords, and analysts who want to make location decisions based on real data rather than guesswork.
Does this replace agents or brokers?
No. It enhances their work — giving them precise, data-driven tools to place clients in better locations and close more successful deals.
📚 Related Guides
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🔬 Dive deeper into the data science behind StreetSpring's national Survivability Score:
Survivability Score Overview -
⚖️ Compare StreetSpring directly against other CRE analytics platforms:
StreetSpring vs. Competitors -
🏢 See how property owners use location analytics to attract and retain successful tenants:
Landlord Representatives Guide -
🤖 Explore the most advanced AI tools now shaping tenant-rep advisory:
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