
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 proven methods to build a qualified Shopify client list. Original data from 52,000+ stores reveals which methods work, time/cost tradeoffs, and how to find stores that can actually afford your services.

TL;DR: The fastest way to build a qualified Shopify client list is using a store database with verified contacts like StoreInspect. Our database includes 52,000+ stores with 110,000+ verified contacts. For free methods, combine Google search operators + the Store Inspector extension + LinkedIn. Focus on the 10k-50k traffic tier where 82% of stores have reachable decision-makers.
You need Shopify clients. But not just any clients. You need stores that can afford your services, need what you sell, and will actually respond to outreach.
The problem? There are 4.6+ million Shopify stores out there. Finding the right ones manually takes forever. Buying random email lists gets you bounces and spam complaints. And generic prospecting wastes time on stores that will never convert.
We learned this the hard way. Early on, we'd spend hours building lists from Google searches, only to find half the emails bounced and the other half were stores too small to afford anything.
We analyzed 52,575 Shopify stores to find what actually works. This guide covers seven methods to build a qualified client list, from free manual techniques to databases with verified contacts. Each method includes realistic time estimates, costs, and when to use it.
What you'll learn: How to find stores, qualify them, and get decision-maker contacts without wasting time on bad leads.
A Shopify client list is a database of Shopify stores that match your ideal customer (the type of store most likely to buy from you), complete with emails for people who can say yes.
It's more than just store URLs. A good client list includes:
The difference between a list and a database: A list is static. It decays. A database is maintained, verified, and enriched over time. If you're doing regular prospecting, you need a database approach.
Most agencies chase volume. They blast 1,000 emails and celebrate 5 replies. That's a 0.5% response rate, and most of those replies are "please remove me."
Our data shows the difference between qualified and unqualified outreach:
Random list: 1,000 emails → 0.5% response → 5 replies → maybe 1 meeting
Qualified list: 200 emails → 5-8% response → 10-16 replies → 3-5 meetings
Same effort. 3-5x the results. The difference is qualification.
Based on our analysis of 52,575 stores, qualified Shopify prospects share these traits:
We'll cover how to filter for each of these signals.
Not all Shopify stores are good prospects. Too small and they can't afford you. Too big and they have procurement committees.
Our data on the 10k-50k traffic tier:
| Metric | Value |
|---|---|
| Stores in this tier | 9,592 |
| With verified contacts | 82% |
| Average apps installed | 2.6 |
| Average lead fit score | 84/100 |
This is the sweet spot for most agencies:
Key insight: 82% of stores in the 10k-50k tier have verified contacts. Below 10k, that drops to 69%. Target this tier and you'll spend less time hunting for emails.
| Traffic Tier | Stores | Contact Coverage | Avg Contacts |
|---|---|---|---|
| Under 10k | 20,229 | 69% | 1.5 |
| 10k-50k | 9,592 | 82% | 2.1 |
| 50k-200k | 2,642 | 83% | 2.5 |
| 200k-500k | 4,307 | 81% | 2.3 |
| 500k-1M | 6,589 | 83% | 2.7 |
| 1M+ | 6,400+ | 84% | 3.1 |
The pattern: Contact coverage jumps significantly at 10k+ traffic. Below 10k, many stores are too new to have indexed leadership. Above 10k, decision-makers are findable.
Each method has tradeoffs. The honest breakdown:
| Method | Cost | Time per 100 Leads | Accuracy | Best For |
|---|---|---|---|---|
| Google search operators | Free | 4-6 hours | Low | Quick discovery |
| Facebook Ad Library | Free | 3-4 hours | Medium | Finding funded stores |
| LinkedIn Sales Navigator | $99+/mo | 2-3 hours | Medium-High | Targeted roles |
| BuiltWith/Wappalyzer | Free-$295/mo | 2-4 hours | Medium | Tech stack filtering |
| Store directories | Free-$75/mo | 1-2 hours | Medium | Niche browsing |
| Email finder tools | $49+/mo | 1-2 hours | Medium | When you have names |
| Store databases | $49+/mo | 15-30 min | High | Regular prospecting |
Each method in detail:
The classic free method. Use Google's advanced search to find Shopify stores by niche.
Cost: Free | Time: 4-6 hours per 100 leads | Accuracy: Low
Basic search patterns:
site:myshopify.com "sustainable fashion"
site:myshopify.com "organic skincare"
inurl:myshopify.com "handmade jewelry"
More advanced queries:
| Query | What It Finds |
|---|---|
site:myshopify.com "powered by Shopify" "contact" | Stores with contact pages |
"Shopify" + "sustainable" + inurl:collections | Niche stores with collections |
site:linkedin.com "founder" "Shopify store" | Founders on LinkedIn |
Limitations:
myshopify.com domains (many use custom domains)When to use: Quick niche discovery when you just need a few examples to validate a market.
Stores running Facebook ads have budget, understand marketing, and are growth-minded. They're premium prospects.
Cost: Free | Time: 3-4 hours per 100 leads | Accuracy: Medium
How to use it:
Pro signals to look for:
Limitations:
When to use: Finding high-quality prospects when you want stores with proven ad budgets.
For a deeper dive, see our guide on how to spy on competitor ads.
LinkedIn is the largest professional database. Sales Navigator makes it searchable for B2B prospecting.
Cost: $99+/month | Time: 2-3 hours per 100 leads | Accuracy: Medium-High
Search strategies:
Find Shopify founders:
Keywords: "Founder" OR "Co-Founder" OR "CEO"
Keywords: "Shopify" OR "ecommerce" OR "DTC" OR "direct to consumer"
Geography: United States (or your target)
Company headcount: 11-50
Find marketing decision-makers:
Title: "CMO" OR "VP Marketing" OR "Head of Growth"
Keywords: "Shopify" OR "DTC brand"
Industry: Retail, Consumer Goods
The company-first approach:
Limitations:
When to use: Targeted outreach to specific companies where you need the right decision-maker.
Technology detection tools that track what websites are built with, including which Shopify stores use specific apps.
Cost: Free tier / $295+/month for exports | Time: 2-4 hours per 100 leads | Accuracy: Medium
What you can filter:
BuiltWith example:
Wappalyzer:
Limitations:
When to use: Finding stores using (or missing) specific technologies. Especially useful for app vendors.
Curated directories organize Shopify stores by category, making niche discovery easier.
Cost: Free to $75/month | Time: 1-2 hours per 100 leads | Accuracy: Medium
Popular directories:
| Directory | Focus | Notes |
|---|---|---|
| StoreInspect Top Stores | Curated by category | Free browsing, tech stack data |
| Ecomm.design | Design inspiration | Curated for quality |
| CartInsight | Multi-platform | 390k+ Shopify stores |
| Store Leads | Data-heavy | $250+/month for exports |
Our directory by category:
| Category | Stores | % of Database |
|---|---|---|
| Fashion | 13,629 | 26% |
| Food & Beverage | 7,605 | 15% |
| Home & Garden | 6,732 | 13% |
| Beauty | 5,172 | 10% |
| Jewelry | 3,902 | 7% |
| Health & Wellness | 3,032 | 6% |
When to use: Browsing for inspiration or when you need stores in a specific niche quickly.
Once you have names and companies, email finder tools can locate contact information.
Cost: $39-99/month | Time: 1-2 hours per 100 leads | Accuracy: 50-70%
Popular tools:
| Tool | Price | Best For |
|---|---|---|
| Hunter.io | $49/mo (500 searches) | Domain email search |
| Apollo.io | $49/mo | Full prospecting workflow |
| Snov.io | $39/mo | Email finding + outreach |
| RocketReach | $53/mo | Direct emails + phone |
How it works:
allbirds.com)Hunter.io domain search example:
Limitations:
When to use: Converting names (from LinkedIn, team pages) into email addresses.
For more detail, see our guide on how to get Shopify store owner emails.
Our recommendation: If you're prospecting regularly, this method pays for itself in the first week. Skip the manual research.
This is the method we recommend for agencies doing regular prospecting. Instead of assembling lists manually, use a database that's already done the work.
Cost: $49+/month | Time: 15-30 minutes per 100 leads | Accuracy: High (70%+ verified)
What makes a good database:
StoreInspect database stats:
| Metric | Value |
|---|---|
| Total stores | 52,575 |
| Total contacts | 110,968 |
| Stores with contacts | 77% |
| Avg contacts per store | 2.7 |
| Categories | 16 |
Contact roles in our database:
| Role | Count | % |
|---|---|---|
| Founder/CEO | 3,907 | 3.5% |
| C-Suite (CMO, CTO, CFO, COO) | 576 | 0.5% |
| VP-level | 1,007 | 0.9% |
| Director | 4,238 | 3.8% |
| Head of | 1,582 | 1.4% |
| Manager | 13,936 | 12.6% |
Example workflow:
"Fashion stores, 10k-50k traffic, using Mailchimp (not Klaviyo), has verified founder email"
Export 100 qualified leads in 15 minutes. No manual research.
When to use: Regular prospecting where time saved justifies subscription cost. Typically pays for itself in the first week of prospecting.
Browse stores with verified contacts →
Finding stores is step one. Qualifying them is step two. Not every store on your list deserves your time.
Use STAMP, a simple scoring system based on five factors: Size, Tech, Activity, Multiple contacts, and Pain point.
| Letter | Criteria | Score 0 | Score 10 | Score 20 |
|---|---|---|---|---|
| Size | Traffic tier | Under 5k | 5k-10k or 50k+ | 10k-50k |
| Tech Stack | Apps installed | Free apps only | Some paid apps | Premium stack |
| Activity | Marketing signals | No pixels, no ads | Some pixels | Multiple pixels + active ads |
| Multiple Contacts | Reachable people | 0-1 contacts | 2 contacts | 3+ contacts |
| Pain Point | Gap you can solve | No clear gap | Some opportunity | Obvious need |
Maximum score: 100
How to prioritize:
| Score | Classification | Action |
|---|---|---|
| 0-40 | Cold | Skip or nurture long-term |
| 41-70 | Warm | Worth outreach, personalize well |
| 71-100 | Hot | Priority outreach, high effort |
Example scoring:
Store: Premium skincare brand (10k-50k traffic)
- Size: 10k-50k traffic → 20 points
- Tech: Klaviyo, Gorgias, Judge.me → 20 points
- Activity: Meta + TikTok pixels, running ads → 20 points
- Multiple: Founder + CMO available → 15 points
- Pain: Using Mailchimp (you sell Klaviyo migrations) → 20 points
Total: 95/100 → Hot lead, prioritize immediately
For the full scoring framework with worksheets, see how to qualify Shopify leads.
Different agencies need different filters. Here's how to customize your approach:
Filter for:
Look for these gaps:
| Current State | Opportunity |
|---|---|
| No email app | Full email setup |
| Mailchimp installed | Klaviyo migration |
| Email but no SMS | SMS expansion |
| Basic flows | Advanced automation |
Our data: 61% of stores have 0-2 apps. Many are missing email entirely.
Filter for:
Look for these gaps:
| Current State | Opportunity |
|---|---|
| Free theme + premium apps | Theme upgrade |
| Outdated theme (pre-2.0) | Modern rebuild |
| Custom checkout needs | Plus migration |
| Poor mobile experience | Performance optimization |
Filter for:
Look for these gaps:
| Current State | Opportunity |
|---|---|
| Meta only | TikTok expansion |
| No sales tracking | Tracking setup |
| Basic pixel | Server-side tracking |
| Manual bidding | Automation services |
Our data: Only 6-8% of stores have TikTok Pixel installed. Massive opportunity.
A list decays. Email databases lose 25% accuracy per year. People change jobs, companies restructure, and emails go inactive.
| Task | Frequency | Why |
|---|---|---|
| Re-verify emails | Every 90 days | Catch job changes |
| Remove bounced | Immediately | Protect sender reputation |
| Update tech stack | Quarterly | Catch new opportunities |
| Prune non-responders | After 3 sequences | Focus on engaged prospects |
| Add new stores | Monthly | Fresh pipeline |
How the major tools compare for building Shopify client lists:
| Tool | Price | Stores | Contacts | Tech Data | Best For |
|---|---|---|---|---|---|
| StoreInspect | $49+/mo | 52k+ | 110k+ | Yes | Agency prospecting |
| Store Leads | $250+/mo | 2.8M | Limited | Yes | Enterprise, multi-platform |
| StoreCensus | $39+/mo | 1.8M | Apollo integration | Yes | Budget option |
| BuiltWith | $295+/mo | 2.7M | No | Deep | Tech research |
| Apollo.io | $49+/mo | General | Yes | Limited | Contact enrichment |
| LinkedIn Sales Nav | $99+/mo | General | Via InMail | No | Targeted roles |
Our recommendation:
Buying unverified lists. Bounces destroy your sender reputation. Use sources with 70%+ verification.
Targeting too-small stores. They can't afford your services. Focus on 10k+ traffic.
Single-contact outreach. One missed email means a lost lead. Get 2-3 contacts per store.
Ignoring what they already use. Don't pitch Klaviyo to a store already using it. Filter by what they're missing.
No qualification. You'll waste time on bad fits. Use STAMP scoring.
Never refreshing your list. Data decays 25% per year. Re-verify every 90 days.
For active prospecting: 200-500 qualified stores at a time. Enough to run consistent campaigns without data going stale before you use it.
Math: If you send 50 emails/week with a 5% reply rate, you get ~10 replies/month. At a 20% close rate, that's 2 new clients/month. You'll cycle through 200 stores in about a month.
Generally, no. Pre-built lists are:
Build or subscribe to a database you can filter and customize.
70%+ is good. 80%+ is excellent. Below 50% means your sources are poor.
If you're consistently getting low verification rates, you're either using bad data or old contacts.
Minimum 2, ideally 3-5. Reaching multiple people at one company gets way better response rates.
Our data shows stores with contacts average 2.7 contacts each.
Re-verify every 90 days. People change jobs, emails go inactive, and data decays.
Before any new campaign, run your list through a verification tool.
Yes, with caveats. You're contacting business emails for business purposes. But you must:
A list is static. You download it once and it starts decaying immediately.
A database is maintained. It's updated regularly, contacts are verified, and you can re-export fresh data.
For regular prospecting, you want database access, not a one-time list.
The step-by-step process:
| If You're... | Use This Method |
|---|---|
| Just starting, no budget | Google operators + free extension |
| Testing a niche | Facebook Ad Library + LinkedIn |
| Regular prospecting | Store database with contacts |
| Tech-focused targeting | BuiltWith + email finder |
Free option: Install the Store Inspector extension to analyze stores one by one. Combine with LinkedIn and email finder for contacts.
Scale option: Use StoreInspect to filter 52,000+ stores by traffic, apps, and category. Export with 2-3 verified contacts per store. Skip the manual research.
Browse Stores by Category → | Get the Free Extension →
Related guides:
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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