How Accurate Is Google Maps Business Data? A Practical Analysis

The Honest Answer

Google Maps business data is the most accurate publicly available source of local business contact information — but it's not perfect. Understanding where it's reliable and where it's not helps you build lead lists that actually convert.

This article breaks down accuracy by data field, explains how to use quality signals to filter out bad data, and gives you realistic expectations for B2B prospecting campaigns.

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Accuracy by Data Field

Business Name

Accuracy: Very High (95%+)

Google verifies business names through the Google Business Profile (formerly Google My Business) system. Owners claim their listing and update the name. Outdated names are less common than in traditional directories.

Watch for: Franchise vs. independent confusion (a dentist named "Dr. Smith - Dental Associates Network" may be part of a chain, not an independent practice).

Phone Number

Accuracy: High (85-90%)

Phone numbers are the most actionable field for cold calling. Google's accuracy is solid because:

• Business owners regularly update phone numbers (it affects their customer calls)
• Automated verification calls confirm numbers
• User corrections surface wrong numbers quickly

Where it degrades:

• Recently changed numbers (there's a lag of days to weeks)
• Multi-location businesses where the Google listing shows HQ, not local

Practical filter: Businesses with 20+ reviews and a claimed/verified listing have higher phone accuracy than unclaimed listings.

Address

Accuracy: Very High (92%+)

Physical addresses are rarely wrong for established businesses. Google Maps is fundamentally a mapping product — address accuracy is core to the product's value.

Where it degrades:

• Recently moved businesses
• Home-based businesses with service areas (the address may be a residential address)
• Virtual offices or co-working addresses (the "address" isn't meaningful for visiting)

Website URL

Accuracy: High (80-85%)

Business websites change more often than phone numbers or addresses, so this field has more drift. A website listed in 2022 might be outdated, redirected, or expired.

Practical filter: Check that the website is live (not a parked domain) for high-priority prospects.

Email Address

Accuracy: Variable (50-70%)

Email addresses are NOT directly in the Google Maps API — they come from business websites. Tools that provide emails (including MapsLeads) extract them from the business's own website.

This means:

• If the website is current and has a contact email, accuracy is high
• If the website is outdated or the email listed is a generic contact (info@), deliverability varies
• Some businesses don't list emails at all (especially in sectors that rely on phone)

Realistic expectation: Plan for 60-70% email availability across a typical local business dataset, with 75-85% deliverability on found emails.

Star Rating

Accuracy: Very High (99%+)

Ratings are the most reliable field. They're calculated by Google from verified review data. The number is accurate.

What the number means is a different question — but the data itself is reliable.

Review Count

Accuracy: Very High (99%+)

Same as ratings — review counts are calculated and reliable.

Opening Hours

Accuracy: Moderate (75-80%)

Opening hours are often wrong or outdated, especially for smaller businesses that set them once and forget. Seasonal businesses often have wrong hours.

Don't use opening hours for critical decisions. Use them as a rough signal (open 7 days = higher volume business).

Social Media Profiles

Accuracy: High when found (85%+)

Social profiles (Instagram, Facebook, LinkedIn page) are found on business websites, not Google Maps directly. When found, they're generally accurate. The limitation is coverage — not every business lists social profiles on their website.

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How Review Signals Predict Data Quality

One useful pattern: businesses with more reviews tend to have more accurate data across all fields.

Here's why: a business that actively manages its Google presence (claiming the listing, updating hours, responding to reviews) is also more likely to have a current phone number, working website, and accurate address.

| Review count | Phone accuracy | Website accuracy | Email availability | |---|---|---|---| | 0-5 reviews | ~75% | ~65% | ~40% | | 6-20 reviews | ~82% | ~75% | ~55% | | 21-50 reviews | ~88% | ~82% | ~65% | | 51-100 reviews | ~92% | ~87% | ~70% | | 100+ reviews | ~95% | ~90% | ~75% |

Practical implication: Filtering to businesses with 20+ reviews significantly improves overall data quality, not just selectivity.

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Business Status: Open vs. Permanently Closed

Google Maps is reasonably good at flagging permanently closed businesses — users flag closures, owners update status, and Google's own detection catches businesses that stop appearing in normal operations.

However: Google is slower than reality. A business that closed 2 weeks ago may still appear as "Open" in the data.

Practical filter: Filter out listings explicitly marked "Permanently Closed." For high-priority prospects, a quick phone check is always worth it.

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Category Accuracy

Google uses its own business category taxonomy (e.g., "Dental clinic", "Lawyer", "Auto repair shop"). Categories are generally reliable but have nuances:

• A business can have multiple categories — the primary category is most reliable
• Some businesses are miscategorized by owners (a beauty spa might list as "Massage therapist")
• Regional variations exist — "Solicitors" (UK) vs "Law firm" (US) are different categories for the same type of business

Best practice: Use multiple search terms/categories for comprehensive coverage. Don't assume one category captures everything.

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Comparing Google Maps to Other Data Sources

| Data source | Phone accuracy | Email accuracy | Update frequency | Coverage | |---|---|---|---|---| | Google Maps | 85-90% | 55-70% | Real-time (user-updated) | 200M+ listings | | LinkedIn | N/A (B2C) | 60-70% direct | Weekly | 50M+ companies | | ZoomInfo | 75-85% | 70-80% | Quarterly refresh | 250M professionals | | Purchased B2B databases | 60-75% | 60-70% | Varies | Variable |

Google Maps wins on:

• Coverage for local/physical businesses (200M+ listings, no other source comes close)
• Update frequency (owners update continuously, not quarterly)
• Rating and reputation data (unique to Google Maps)

Google Maps is weaker on:

• Individual employee contacts (not in the data)
• Email addresses (not natively in the API, requires enrichment)

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Practical Quality Framework

For a production B2B lead list, apply these filters to maximize data quality:

Tier 1 (highest quality):

• Rating ≥ 4.0
• Reviews ≥ 50
• Has website
• Has phone number
• Lead score ≥ 75

Tier 2 (good quality):

• Rating ≥ 3.5
• Reviews ≥ 20
• Has phone number
• Lead score ≥ 60

Tier 3 (volume play):

• Has phone number
• Any rating / any review count

For cold calling campaigns, Tier 2-3 is fine (you're calling anyway, you'll screen live). For cold email campaigns, stick to Tier 1 to protect sender reputation.

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Getting Started with Realistic Expectations

MapsLeads provides data extracted via the Google Places API and enriched with website/social data. You get a Lead Score field (0-100) indicating overall completeness for each listing — use it to prioritize outreach.

20 free credits (no credit card) extracts 10 complete business listings with full data. Start with a niche you know, evaluate the quality, and scale from there.