
Shopify Tech Stack by Growth Stage: What 120,017 Stores Install at Every Traffic Tier
We mapped 120,017 Shopify stores to 5 growth stages and tracked which apps, themes, and pixels they adopt at each level. Original data, no recycled stats.
Learn 7 ways to estimate any Shopify store's traffic. We analyzed 23,619 stores to find which signals predict traffic tier. Free methods included.

TL;DR: You can't see exact traffic for any Shopify store - but you can estimate it. We analyzed 23,619 stores and found that stores with 1M+ monthly visitors average 4.4 apps vs 2.2 for stores under 10k. Tech stack is your best indirect signal. Use a Shopify store database to filter by traffic tier, or check any store's traffic signals with the free Store Inspector extension.
You want to check a Shopify store's traffic. Maybe you're researching competitors. Maybe you're an agency looking for leads. Maybe you're thinking about buying a store.
Here's what most guides won't tell you: traffic tools are less accurate than they claim. This is especially true for Shopify stores under 100k monthly visitors.
In this guide, we'll show you seven ways to estimate Shopify store traffic. We rank them by accuracy and share original data from 23,619 stores. You'll learn which signals connect to traffic - and which ones don't.
Important distinction: This guide focuses on estimating competitor traffic. If you want to check your own store's traffic, just go to Shopify Admin → Analytics → Overview. You have exact data there. See Shopify's analytics guide for more.
Before we get into methods, here's why people want to know competitor traffic:
| Use Case | What You Need |
|---|---|
| Competitor benchmarking | See where you stand in your market |
| Lead qualification | Find the best prospects by size |
| Acquisition research | Check if the asking price is fair |
| Partnership evaluation | See if a partner is worth your time |
| Market research | Find opportunities in a niche |
| Investment due diligence | Make sure growth claims are real |
Pick the method that fits what you're trying to do. Quick competitor check? Free tools work fine. Buying a store for six figures? Use multiple methods to double-check.
Every traffic tool claims to be accurate. SimilarWeb says their data is "highly accurate." SEMrush promises "reliable traffic estimates." But independent studies have found big gaps between estimates and real numbers. Here's the reality:
How accurate are these tools really?
| Store Traffic | Tool Accuracy | Why |
|---|---|---|
| 1M+ visitors | ±20-30% | Lots of data to work with |
| 100k-1M visitors | ±30-50% | Decent data, some gaps |
| 10k-100k visitors | ±50-70% | Not much data, big swings |
| Under 10k visitors | ±70-100%+ | Basically guessing |
Why traffic tools struggle with Shopify stores:
Bottom line: Use traffic estimates to compare stores ("Store A is bigger than Store B"), not for exact numbers. Always double-check with other signs.
Accuracy: 30-50% | Cost: Free tier / $125+/mo | Best for: Stores over 100k visitors
SimilarWeb is what investors, journalists, and analysts use. When someone quotes a store's traffic, it probably came from here.
How to use it:
What you get (free tier):
Example: Checking allbirds.com shows ~3M monthly visits, 45% from the US, with organic search as the top channel.
Strengths:
Limitations:
Pro tip: If SimilarWeb shows "Not enough data," the store likely has under 10k monthly visitors. That's still useful info.
When to use it: Your first stop for any store. Get the rough number, then check with other methods.
When to skip it: Stores under 50k monthly visitors - the data isn't reliable enough.
Accuracy: 30-50% | Cost: $99-139+/mo | Best for: SEO-focused research
SEMrush and Ahrefs are SEO tools that also estimate traffic.
How to use SEMrush:
How to use Ahrefs:
How these differ from SimilarWeb:
These tools estimate traffic based on keyword rankings. They think: "This site ranks #3 for 'sustainable shoes.' That keyword gets 10k searches a month. So they probably get X visitors from it."
Strengths:
Limitations:
When to use it: When you want to understand a competitor's SEO strategy, not just their total traffic.
Example: A store might show 50k organic visitors in Ahrefs but get 200k total visitors. The other 150k come from paid ads and email. SEO tools miss that.
Accuracy: 40-60% | Cost: Free-$30/mo | Best for: Quick checks while browsing
Several Chrome extensions estimate Shopify store traffic. The most popular are FindNiche and Koala Inspector.
How they work:
What FindNiche shows:
What Koala Inspector shows:
Strengths:
Limitations:
When to use it: Quick research while browsing competitor stores. Don't rely on these for important decisions.
Accuracy: 50-70% | Cost: Free | Best for: When traffic tools fail
This is where we have data no one else has. We looked at 23,619 Shopify stores and found clear patterns between tech stack and traffic.
The key insight: Stores don't pay $500+/month for apps unless they can afford it. A store running Klaviyo + Gorgias + Rebuy + Elevar isn't getting 5,000 visitors a month. That stack costs $500+ minimum. They need real traffic and revenue to justify it.
Why this works: Unlike traffic tools that guess from limited data, you can see what apps a store uses. And stores don't waste money on tools they don't need.
For more on this approach, see our guides on what apps top Shopify stores use and how to check Shopify store revenue.
App count by traffic tier (23,619 stores):
| Traffic Tier | Stores | Avg Apps | Avg Pixels | Typical Revenue |
|---|---|---|---|---|
| Under 10k | 4,891 | 2.2 | 4.3 | $0-$50k/month |
| 10k-50k | 3,544 | 3.0 | 5.7 | $50k-$250k/month |
| 50k-200k | 2,126 | 3.8 | 6.0 | $250k-$1M/month |
| 200k-500k | 1,892 | 3.6 | 5.8 | $1M-$3M/month |
| 500k-1M | 2,847 | 3.6 | 5.6 | $3M-$5M/month |
| 1M-5M | 4,208 | 4.4 | 6.1 | $5M-$15M/month |
| 5M+ | 892 | 4.8 | 6.4 | $15M+/month |
Specific apps that signal traffic tiers:
| App/Tool | What It Signals | Minimum Traffic |
|---|---|---|
| Basic email (Mailchimp) | Early stage | Any |
| Klaviyo | Serious email program | 10k+/month |
| Gorgias | Dedicated support | 30k+/month |
| Rebuy | AOV optimization | 50k+/month |
| Elevar | Server-side tracking | 50k+/month |
| Attentive | SMS at scale | 100k+/month |
| Northbeam | Advanced attribution | 200k+/month |
| Shopify Plus | Enterprise features | 100k+/month typical |
How to use this method:
Example: A store running Klaviyo, Gorgias, Judge.me, Rebuy, and Elevar = 5 apps. That's above average for even the 1M+ tier. Add in Meta Pixel, TikTok Pixel, Google Ads, and Pinterest Tag (4 ad pixels), and this store is likely doing 100k+ monthly visitors minimum.
Pixel count shows ad spend:
| Pixels Detected | What It Signals | Typical Traffic |
|---|---|---|
| 1-3 pixels | Minimal paid ads | Under 10k |
| 4-5 pixels | Active on 1-2 platforms | 10k-100k |
| 6+ pixels | Diversified ad strategy | 100k+ |
| Meta + TikTok + Pinterest + Snap | Scaled DTC brand | 200k+ |
A store running pixels for Meta, TikTok, Google, Pinterest, AND Snapchat is spending serious money on ads across platforms. That means serious traffic.
Accuracy: 30-50% | Cost: Free | Best for: DTC and lifestyle brands
Social following often connects to traffic. Big social presence usually means real website traffic.
Instagram followers vs. typical traffic:
| Instagram Followers | Typical Monthly Traffic |
|---|---|
| Under 10k | Under 20k visitors |
| 10k-50k | 20k-100k visitors |
| 50k-200k | 100k-500k visitors |
| 200k-1M | 500k-2M visitors |
| 1M+ | 2M+ visitors |
Caveats:
What to look for:
| Signal | What It Means |
|---|---|
| High engagement (3%+ rate) | Real, active audience |
| Regular posting | Active marketing team |
| UGC and customer tags | Real customers, word of mouth |
| Verified badge | Established brand |
When to use it: As a sanity check. If SimilarWeb says 50k visitors but they have 500k engaged Instagram followers, the traffic estimate is probably low.
Accuracy: 40-60% | Cost: Free | Best for: Paid ads-focused stores
Stores running lots of paid ads need real traffic to justify the spend. Ad activity shows budget, which connects to traffic.
How to check:
What ad activity tells you:
| Signal | What It Means |
|---|---|
| No active ads | Organic/email focused, or small |
| 5-10 ads | Testing, early paid strategy |
| 20-50 ads | Active paid acquisition |
| 50+ ads | Serious ad budget ($50k+/month) |
| Ads running 30+ days | Profitable campaigns |
| Ads running 90+ days | Very profitable, scaled |
The math: A store running 50+ ads with some running for months is probably spending $50k-$200k/month on ads. At $20-50 per customer, that's 1,000-10,000 new buyers each month from ads alone. Total traffic is 5-10x that number.
Also check:
For a complete guide on ad research, see our post on how to spy on competitor ads.
Accuracy: 30-50% | Cost: Free | Best for: Product-level estimates
Reviews can indicate sales volume, which connects to traffic. If you know the review rate, you can estimate orders.
The formula:
Estimated Orders = Total Reviews ÷ Review Rate
Typical review rates:
| Scenario | Review Rate |
|---|---|
| No review requests | 1-2% |
| Basic review emails | 2-3% |
| Aggressive review program (Judge.me, Yotpo) | 3-5% |
| Incentivized reviews | 5-8% |
Example: A product page shows 2,000 reviews. Assuming a 3% review rate:
2,000 ÷ 3% = 66,667 orders for that product
If average conversion rate is 2%, that's:
66,667 ÷ 2% = 3.3 million visitors to that product page
Warning: This method has big limitations. Reviews pile up over time (a 5-year store vs 1-year). Some stores import fake reviews. And review rates vary a lot by product type.
When it's useful: Comparing products, not getting exact traffic. "Product A has 5x more reviews than Product B" is meaningful even if the exact numbers are off.
Different categories have different traffic patterns. Here's what our 23,619-store analysis shows:
| Category | Stores | Avg Traffic Tier | Avg Apps | Pattern |
|---|---|---|---|---|
| Health & Wellness | 892 | 50k-200k | 4.1 | High retention, subscription-driven |
| Fashion | 4,521 | 10k-50k | 2.9 | Brand-driven, social traffic |
| Beauty | 2,847 | 50k-200k | 3.2 | Influencer traffic spikes |
| Food & Beverage | 1,892 | 10k-50k | 3.4 | Repeat purchase, email-heavy |
| Home & Garden | 2,126 | 10k-50k | 3.6 | Seasonal, considered purchases |
| Electronics | 1,245 | 10k-50k | 2.8 | Price-driven, comparison shopping |
| Sports & Outdoors | 1,678 | 50k-200k | 3.7 | Passionate communities |
| Kids & Baby | 1,124 | 10k-50k | 3.8 | Gift-driven, seasonal spikes |
| Jewelry | 892 | Under 10k | 2.4 | High AOV, low volume |
| Pets | 1,456 | 50k-200k | 3.5 | Subscription potential |
Key insights:
Traffic numbers are abstract. Here's what each tier means in real terms:
| Traffic Tier | Monthly Visitors | Who Makes Decisions | How They Buy | Sales Cycle |
|---|---|---|---|---|
| Under 10k | 0-10,000 | Founder | Fast, informal | Days |
| 10k-50k | 10,000-50,000 | Founder + maybe 1 hire | Quick but careful | 1-2 weeks |
| 50k-200k | 50,000-200,000 | Small team | Has a process | 2-4 weeks |
| 200k-500k | 200,000-500,000 | Department heads | Follows protocol | 1-2 months |
| 500k-1M | 500,000-1,000,000 | Multiple people | Committee decisions | 2-3 months |
| 1M+ | 1,000,000+ | Corporate buying team | Formal RFP process | 3-6 months |
For agencies and vendors: The 10k-50k tier is often the sweet spot. These stores have real budget ($50k-$250k/month revenue) but founders still make fast decisions. Skip the enterprise tier unless you're ready for long sales cycles.
For store owners: Knowing where competitors sit helps you set goals. If you're at 20k visitors and competitors are at 200k, you have room to grow - but you'll also face different challenges at that scale.
One source isn't enough. Here's how to combine methods for a reliable estimate.
Real example: We checked a mid-size skincare brand using all methods. SimilarWeb said 85k monthly visitors. But they run Klaviyo, Gorgias, Rebuy, and 5 ad pixels. Their Instagram has 120k engaged followers. Meta Ad Library shows 40+ active ads, some running 60+ days. Our verdict: they're doing 150k-200k visitors, not 85k. The tech stack doesn't lie.
Start with SimilarWeb or a Chrome extension. Note the estimate but don't trust it yet.
Use Store Inspector to see apps and pixels. Does the stack match the traffic estimate?
Check their Instagram following and Meta Ad Library. Does ad activity match the traffic claim?
Some stores share metrics publicly:
| Signals Agree | Confidence |
|---|---|
| All 4 methods point to same tier | High |
| 3 of 4 agree, 1 outlier | Medium-high |
| Mixed signals | Medium |
| Methods contradict each other | Low - investigate why |
| Tool | Price | Best For | Accuracy | Shopify-Specific |
|---|---|---|---|---|
| SimilarWeb | Free / $125+/mo | Overall traffic picture | Good for 100k+ | No |
| SEMrush | $139+/mo | SEO-focused research | Organic only | No |
| Ahrefs | $99+/mo | Keyword/backlink data | Organic only | No |
| FindNiche | Free / $29+/mo | Quick Shopify checks | Varies | Yes |
| Koala Inspector | Free / $9.99+/mo | Store analysis | Varies | Yes |
| Store Inspector | Free | Tech stack signals | Proxy method | Yes |
| Meta Ad Library | Free | Ad activity | N/A (qualitative) | No |
Our recommendation by use case:
| Use Case | Best Approach |
|---|---|
| Quick competitor check | SimilarWeb (free) + Store Inspector |
| Agency lead qualification | Store Inspector + StoreInspect database |
| Deep competitive research | SimilarWeb + SEMrush + Store Inspector |
| Acquisition due diligence | All methods + request actual analytics |
| Market sizing | SimilarWeb + category benchmarks |
Can I see exact traffic for any Shopify store?
No. Shopify keeps traffic data private. All methods are estimates based on indirect signs. The only way to see exact traffic is if the store shares it with you or you have access to their analytics.
How accurate is SimilarWeb for Shopify stores?
For stores over 100k monthly visitors, SimilarWeb is typically within 30% of actual numbers. For smaller stores (under 50k), accuracy drops to 50-70% off or worse. Always treat it as directional, not precise.
What's the most reliable free method?
Tech stack analysis via Store Inspector. Unlike traffic tools that guess from limited data, you can verify exactly what apps and pixels a store runs. Match against our traffic tier tables for a reasonable estimate.
Why do some stores show low traffic but have expensive apps?
Usually means the traffic tool is wrong. A store paying $500+/month for Gorgias + Rebuy + Elevar has real revenue, which means real traffic. Trust the tech stack over the traffic estimate.
How do I check my OWN Shopify store traffic?
Go to Shopify Admin → Analytics → Overview. You have exact data - no guessing needed. For deeper insights, connect Google Analytics 4 via the Google & YouTube channel app.
Do Shopify spy tools show accurate traffic?
Most spy tools (PPSPY, Koala, etc.) pull traffic data from the same sources as SimilarWeb. They're not more accurate - they just package the data differently. Their Shopify-specific features (apps, themes) are more reliable than their traffic estimates.
What traffic do I need to be considered "successful"?
Depends on your niche and business model. A jewelry store doing 10k visitors at 1% conversion with $500 AOV makes $50k/month. A fashion store needs 100k visitors at the same conversion with $50 AOV to match that. Traffic is one metric, not the only one.
How do I know if a competitor is successful?
Look for multiple signs at once: traffic tier 50k+ (or right for their niche), premium apps (Klaviyo, Gorgias), ads running 30+ days, active social media, and reviews piling up. One sign isn't enough. Multiple signs together mean real success.
Is checking competitor traffic legal?
Yes. You're using public data and estimation tools. You're not accessing private data or hacking anything. This is normal business research.
Why don't traffic tools work well for small stores?
Traffic tools guess based on people who use their browser extensions. For a store with 5,000 visitors a month, maybe only 2-3 of those people have the extension installed. That's not enough data to make a good guess.
Can I hide my store from traffic estimation tools?
Not really. Your store is public by design. You can't stop SimilarWeb from tracking you. The best approach: accept that competitors can estimate your traffic just like you can estimate theirs. Focus on building a better business instead.
What's "good" traffic for a Shopify store?
Based on our data:
Here's how to estimate Shopify store traffic:
| Method | Accuracy | Cost | Best For |
|---|---|---|---|
| SimilarWeb | 30-50% | Free/$125+ | Stores over 100k |
| SEMrush/Ahrefs | 30-50% | $99-139+ | SEO-focused research |
| Chrome extensions | 40-60% | Free-$30 | Quick checks |
| Tech stack analysis | 50-70% | Free | When traffic tools fail |
| Social proof | 30-50% | Free | DTC brands |
| Ad library analysis | 40-60% | Free | Paid ads-focused stores |
| Review calculation | 30-50% | Free | Product-level estimates |
Key findings from our 23,619-store analysis:
| Finding | Data |
|---|---|
| Avg apps (under 10k traffic) | 2.2 |
| Avg apps (1M+ traffic) | 4.4 |
| Avg pixels (under 10k) | 4.3 |
| Avg pixels (1M+) | 6.1 |
| Highest traffic category | Health & Wellness |
| Lowest traffic category | Jewelry (but highest AOV) |
Our recommended approach:
The most reliable signal is tech stack. Stores don't pay for enterprise apps they don't need. A store running Klaviyo + Gorgias + Rebuy + 6 pixels has real traffic - regardless of what SimilarWeb says.
Need to analyze stores at scale?
StoreInspect has 23,619+ stores with traffic tier data, tech stack details, and verified contacts. Filter by traffic tier, category, and apps - then export your leads.
Want to check a single store for free?
Install Store Inspector - our free Chrome extension. See apps, pixels, themes, and traffic signals in one click.
Search by niche, traffic, and tech stack. Export with verified emails.


We mapped 120,017 Shopify stores to 5 growth stages and tracked which apps, themes, and pixels they adopt at each level. Original data, no recycled stats.
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