How to Check Shopify Store Revenue [7 Methods + 4,898-Store Study]

TL;DR: You can't check exact Shopify store revenue - but you can estimate it. We analyzed 4,898 stores and found that stores with 1M+ monthly visitors average 4.4 apps vs 2.2 for stores under 10k. Traffic tier is your best signal. Use a Shopify store database to filter by revenue signals, or check any store's tech stack with the free Store Inspector extension.

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You want to check Shopify store revenue. Maybe you're researching a competitor. Maybe you're thinking about buying a store. Maybe you're an agency looking for good leads.

Here's the truth: you can't see exact revenue numbers for any Shopify store (unless they're public or tell you directly).

But you can get estimates. Some methods work well. Others are useless. This guide covers seven ways to estimate Shopify store revenue - ranked by how well they work - plus real data from 4,898 stores that shows which signals actually match up with revenue.

We're going to be honest about accuracy. Most guides claim "70-85% accuracy" with no proof. Real accuracy is closer to 50-70% for most methods, and we'll explain why.

Why Check Shopify Store Revenue?

Before diving into methods, here's why people estimate competitor revenue:

The method you choose depends on your goal. Quick competitor check? Traffic estimation is fine. Buying a store? You need to cross-check multiple methods.

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The Revenue Formula (And Why It's Flawed)

Every revenue guide uses some version of this formula:

Monthly Revenue = Traffic × Conversion Rate × Average Order Value

Example: 50,000 visitors × 2% conversion × $80 average order = $80,000/month

Sounds simple. But this formula has serious problems:

1. Traffic estimates are rough - Tools like SimilarWeb and SEMrush can be 30-50% off, especially for smaller stores
2. Conversion rates vary wildly - From 0.5% to 5%+ depending on what the store sells and where traffic comes from
3. Average order value is hidden - You're guessing based on visible product prices
4. Repeat purchases aren't counted - Revenue from email and SMS doesn't show in traffic numbers
5. Seasons change everything - Holiday sales (Q4) can be 3x the rest of the year

The formula gives you a starting point. But don't treat it as accurate.

What we'll show you: How to cross-check estimates using multiple signals - tech stack, social proof, and real data from nearly 5,000 stores.

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7 Ways to Estimate Shopify Store Revenue

Method 1: Traffic-Based Estimation

Accuracy: 40-60% | Cost: Free-$100/mo | Best for: Quick competitor checks

The most common method. Estimate traffic, apply conversion benchmarks, guess AOV.

How to do it:

1. Get traffic estimate from SimilarWeb (free tier) or SEMrush (paid)
2. Apply category conversion rate (see table below)
3. Estimate AOV from their product catalog (average of top 10 products)
4. Multiply

Conversion rate benchmarks by category:

Source: SmartInsights, Littledata 2025 benchmarks

Example calculation:

A fashion store shows 100,000 monthly visitors on SimilarWeb. You check their catalog and see products averaging $65.

100,000 × 1.5% × $65 = $97,500/month

Why this method fails:

• SimilarWeb can be 30-50% off for stores under 100k visitors
• You're using average CVR, not their actual CVR
• Repeat purchase revenue (often 40%+ of revenue) isn't captured
• Paid traffic converts differently than organic

When to use it: Quick rough estimates. Comparing competitors to each other (who's bigger?) rather than exact numbers.

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Method 2: Tech Stack Analysis (Our Data)

Accuracy: 50-70% | Cost: Free | Best for: Checking traffic estimates

This is where we have data no one else has. We analyzed 4,898 Shopify stores and found clear links between tech stack and traffic tier - which connects to revenue.

The insight: Stores buy more apps and tools as they grow. A store running Klaviyo + Gorgias + Rebuy + Elevar isn't doing $10k/month. That stack costs $500+/month minimum. They wouldn't pay for it unless they had the revenue.

For a deeper dive on tech stacks, see our analysis of what apps top Shopify stores use.

App count by traffic tier (4,898 stores):

Revenue signals by specific app:

How to check a store's tech stack:

1. Install Store Inspector (free)
2. Visit any Shopify store
3. Click the extension to see apps, pixels, and theme
4. Count apps and match against the table above

Example: A store running Klaviyo (email), Gorgias (support), Rebuy (upsells), Judge.me (reviews), and Elevar (tracking) = 5 apps. That puts them in the 50k-200k traffic tier, suggesting $250k-$1M/month revenue.

Real example: We looked at Gymshark. They run Klaviyo, Gorgias, Rebuy, Yotpo, Attentive, and several analytics tools - 7+ apps visible. That matches their 1M+ traffic tier. No surprise they're doing $500M+/year.

Why this works: Stores don't pay $300-$500/month for apps unless they have the revenue to justify it. Tech spending grows with business size.

Pixel count shows ad spend:

We also found that pixel count connects to ad budget:

A store with Meta Pixel, TikTok Pixel, Google Ads, Pinterest Tag, AND Snapchat Pixel is spending serious money on ads. That means serious revenue.

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Method 3: Working Backwards from Reviews

Accuracy: 30-50% | Cost: Free | Best for: Product-level estimates

Reviews can reveal sales volume - but only roughly. The idea: if you know what percent of buyers leave reviews, you can estimate total sales.

The formula:

Estimated Sales = Review Count ÷ Review Rate

Typical review rates:

Example: A product has 500 reviews. Assuming a 2% review rate:

500 reviews ÷ 2% = 25,000 sales

If the product is $50, that's $1.25M in revenue from that single product.

Problems with this method:

• Review rate varies wildly by brand
• Old reviews accumulate (a 5-year-old store has more reviews regardless of current sales)
• Some stores import reviews
• Reviews don't show repeat purchases

When it's useful: Estimating relative product performance (which products sell best) rather than absolute numbers. Works better for stores under 2-3 years old.

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Method 4: Social Following & Ad Activity

Accuracy: 30-50% | Cost: Free | Best for: Direct-to-consumer brands

Social following and ad activity show marketing budget - which connects to revenue. Big ad spend usually means big revenue.

Social following benchmarks:

These are rough correlations, not guarantees. Follower counts can be bought.

How to check ad activity:

1. Meta Ad Library - facebook.com/ads/library shows all active ads
2. TikTok Creative Center - ads.tiktok.com/business/creativecenter shows top ads
3. Google Ads Transparency - adstransparency.google.com

What to look for:

Red flags:

• Very few ads despite high traffic claims
• Only one or two ad creatives running
• Ads started very recently

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Method 5: Store Age & Product Catalog Analysis

Accuracy: 30-40% | Cost: Free | Best for: Filtering out new stores

Older stores with large catalogs typically have more revenue. Simple, but useful for quick filtering.

How to check store age:

1. Look up domain on archive.org/web (Wayback Machine)
2. Check their "About" page for founding date
3. Use WHOIS lookup for domain registration date

Catalog signals:

Combined with age:

• Store under 1 year + small catalog = early stage, likely under $20k/month
• Store 3+ years + 200+ products = established, likely $100k+/month

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Method 6: Third-Party Revenue Estimation Tools

Accuracy: 50-70% | Cost: Free-$100/mo | Best for: Quick estimates at scale

Several tools specifically estimate Shopify store revenue. Here's an honest comparison:

Our take: Use these tools for rough estimates and filtering leads. Don't trust any single tool's number. Cross-check with other methods.

Our approach: StoreInspect combines tech stack data with traffic tiers for 4,898+ stores. Filter by category, apps, and revenue signals - then export with verified contacts. Or use the free Store Inspector extension to check individual stores.

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Method 7: Domain Authority & SEO Investment

Accuracy: 30-40% | Cost: Free-$100/mo | Best for: Content-heavy stores

SEO investment signals marketing budget, which correlates with revenue.

How to check:

1. Ahrefs free webmaster tools - Check Domain Rating (DR) and organic traffic estimate
2. Moz Link Explorer - Check Domain Authority (free tier available)
3. SEMrush - Traffic and keyword rankings

Domain rating benchmarks:

What to look for:

• Ranking for competitive commercial keywords = real budget
• 100+ ranking keywords = ongoing SEO investment
• Active blog with regular posts = content team budget

Limitation: This only works for stores investing in SEO. Many DTC brands ignore SEO entirely and rely on paid ads. Low DR doesn't mean low revenue.

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Revenue Benchmarks by Traffic Tier [Original Data]

Based on our analysis of 4,898 Shopify stores, here's what each traffic tier typically means for revenue:

Key insight for agencies: The 10k-50k traffic tier is the sweet spot. These stores have budget ($50k-$250k/month revenue) but founders still make fast decisions. Our data shows they average 3.0 apps - plenty of room to grow their stack. Learn more in our guide on how to find Shopify stores for lead generation.

Validation signals by tier:

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Revenue Benchmarks by Category [Original Data]

Different categories have different revenue patterns. Here's what our data shows:

What this means for estimates:

When estimating revenue, adjust for category. A fashion store at 100k traffic will likely convert at 1.5%. A health store at 100k traffic might convert at 3.4% - more than double the revenue.

Health and Kids stores invest the most in their tech stack (4.1 and 3.8 apps respectively). These categories rely on retention and subscriptions.

Fashion stores invest less despite being the largest category. They rely more on brand and social media than apps.

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How Accurate Are Revenue Estimates?

Let's be honest about accuracy. Every method has significant limitations.

Realistic Accuracy by Method

Best case: Multiple signals agree. Traffic estimate, tech stack, and social presence all point to the same range. You can feel confident.

Typical case: Methods give you a range. A store might be anywhere from $100k to $300k/month. You know the ballpark, not the exact number.

Worst case: Limited data, weird business model, or brand new store. Your estimate could be 2x off in either direction. Proceed with caution.

When Estimates Fail

These store types break the usual patterns:

• B2B stores: Low traffic, high order values, long sales cycles. A B2B store doing $5M/year might only have 2,000 monthly visitors.
• Marketplaces: Multiple sellers, complex setup. Traffic doesn't map to revenue the same way.
• New stores: No history, few signals. Could be doing $0 or $100k - impossible to tell.
• Seasonal businesses: Holiday sales (Q4) might be 5x the rest of the year. When you check matters a lot.
• Email-heavy stores: 40-60% of revenue might come from email/SMS. That doesn't show in traffic numbers.
• International stores: Traffic tools focus on the US. Other countries are less accurate.

How to Improve Accuracy

1. Triangulate - Use 3+ methods and look for agreement
2. Look for outliers - If one signal disagrees, investigate why
3. Check seasonally - Compare to same period last year if possible
4. Verify with public data - Some stores share revenue in press, podcasts, or case studies
5. Ask directly - In partnership/acquisition contexts, just ask

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FAQ

Can I see exact revenue for any Shopify store?

No. Shopify doesn't expose store revenue publicly. You can only estimate based on traffic, tech stack, and other signals. The only way to get exact numbers is if the store is public (SEC filings), they share it themselves, or you have direct access to their analytics.

How accurate is SimilarWeb for Shopify stores?

SimilarWeb is reasonably accurate for stores with 100k+ monthly visitors (typically within 30%). For smaller stores, accuracy drops significantly - estimates can be 50-70% off. Always treat SimilarWeb numbers as directional, not precise.

What's the average Shopify store revenue?

Industry data varies widely. Backlinko reports average annual revenue of $72,000. Median is closer to $24,000 (most stores make less than average). The top 10% of stores make $100k+/month.

Why do app count and revenue correlate?

Stores invest in apps as they grow. A store doing $10k/month won't pay $500/month for Gorgias + Rebuy + Elevar. The tech stack reflects what the business can afford and needs. More apps = more operational complexity = more revenue to justify it.

Is checking competitor revenue legal?

Yes. You're using publicly available information (traffic estimates, visible tech stack, social profiles). You're not accessing private data. This is standard competitive intelligence.

Which free method is most reliable?

Tech stack analysis. Check a store's apps and pixels, then match against our traffic tier tables above. The app/pixel count connects reliably with traffic and revenue based on our data from 4,898 stores.

How do I check my own store's revenue?

In Shopify Admin: Analytics → Reports → Sales by channel/time period. You have exact data - no estimation needed. Use this for benchmarking against the category averages above.

What's the most common mistake in revenue estimation?

Using one method and treating it as fact. The traffic formula gives you a number, but it could easily be 50% off. Always cross-check with tech stack, social signals, and other sources.

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Summary

Here's how to estimate Shopify store revenue:

Our recommended approach:

1. Start with tech stack - Use Store Inspector to see apps and pixels (free)
2. Match to traffic tier - Use our data tables above
3. Validate with traffic - Check SimilarWeb for directional confirmation
4. Adjust for category - Apply category-specific conversion rates
5. Look for outliers - If signals disagree, investigate why

Key benchmarks from our 4,898-store study:

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Need to analyze stores at scale?

StoreInspect has 4,898+ stores with tech stack data, traffic tiers, and verified contacts. Filter by category, apps, and revenue signals - then export your leads.

Browse the Database →

Want to check a single store?

Install Store Inspector - free Chrome extension. See apps, pixels, themes, and traffic tier in one click.

Browse Top Stores by Category →