How to Find Shopify Stores Using Facebook Ads [2025 Guide]
Complete guide to finding Shopify stores running Facebook ads for agencies and app developers. Learn proven methods, filtering strategies, and outreach templates that work.
Shopify stores running Facebook ads are the highest-value prospects you can target. They have proven marketing budgets, understand digital advertising, and are actively investing in growth. This guide shows you exactly how to find them and turn that intelligence into profitable outreach.
This isn't just another prospecting guide—it's a complete playbook based on analyzing over 1.2 million ad-running Shopify stores, with real filter combinations, outreach templates, and case studies that actually work in 2025.
Why Target Ad-Running Stores?
Stores spending money on Facebook ads represent the top 15% of all Shopify merchants. They're not just testing the waters—they're serious about growth and have budgets to prove it.
What Makes Ad-Running Stores Valuable
Store Type | Why They're Valuable | What They Need |
---|---|---|
Active advertisers | Proven marketing investment | Better ad performance, attribution |
Scaling stores | Growth-focused mindset | Advanced tools, optimization |
Budget-conscious | Understand ROI metrics | Efficiency improvements |
The Numbers That Matter
Ad-Running Store Distribution (2025):
- Stores with Meta Pixel: 62% of active stores
- Average monthly ad spend: $2,800-$8,500
- Stores running TikTok + Meta: 18% (fastest growing)
- Stores missing email integration: 34%
💡 Pro Tip: Stores running ads but missing email automation are leaving 30-40% of potential revenue on the table.
2025 Facebook Ads Landscape: Key Data & Insights
Understanding the current advertising ecosystem helps you identify the biggest opportunities and avoid oversaturated markets.
StoreCensus 2025 Ad Intelligence Index
Metric | 2024 | 2025 | YoY Change |
---|---|---|---|
Stores with Meta Pixel | 58% | 62% | +7% |
Stores with TikTok Pixel | 12% | 18% | +50% |
Multi-platform advertisers | 8% | 12% | +50% |
Avg monthly ad spend | $2,400 | $2,800 | +17% |
Stores using Klaviyo + Meta Pixel | 18% | 24% | +33% |
Missing email attribution | 42% | 34% | –19% |
iOS 14.5+ impact recovery | 65% | 89% | +37% |
💡 Data Source: StoreCensus 2025 Ad Intelligence Index (1.2M+ analyzed ad-running stores)
What These Trends Mean for You
🚀 Multi-Platform Growth (+50%): Stores are diversifying beyond Facebook. Opportunity for cross-platform attribution and unified reporting services.
📧 Email Attribution Improvement: 24% now use Klaviyo + Meta Pixel (up 33%), showing sophisticated attribution tracking. Focus on advanced automation rather than basic setup.
📱 iOS Recovery Success: 89% of stores have adapted to iOS 14.5+ changes (up 37%). Opportunity for server-side tracking and first-party data strategies.
💰 Ad Spend Increase: Average monthly spend up 17% indicates growing confidence in paid advertising ROI.
Build Your Ad-Focused ICP
Before diving into StoreCensus filters, define exactly what type of ad-running store is your perfect client.
Ad Intelligence ICP Framework
ICP Field | Description | Example |
---|---|---|
Niche | Store category | Beauty & Personal Care |
Ad Spend Level | Monthly investment | $1,000-$5,000 |
Platform Mix | Advertising channels | Meta + TikTok Pixel |
Revenue Range | Estimated yearly sales | $250k–$1M |
Attribution Gap | Missing tracking | No email attribution |
Traffic Volume | Monthly visitors | 15k–75k |
Sample ICPs by Service Type
Facebook Ads Agency:
Niche: Fashion & Apparel
Revenue: $250k-$1M yearly
Tech: Meta Pixel (proven ad spend)
Traffic: 25k+ monthly
Gap: No TikTok Pixel (single platform risk)
Email Marketing + Attribution:
Niche: Beauty & Personal Care
Revenue: $500k-$2M yearly
Tech: Meta Pixel + Klaviyo
Traffic: 50k+ monthly
Gap: Missing server-side tracking
App Developer (Attribution Tool):
Niche: Health & Wellness
Revenue: $100k-$500k yearly
Tech: Meta Pixel only
Products: 101-500
Gap: No multi-touch attribution
🧠 Try it Yourself: Fill out this ICP template for your niche before you start filtering in StoreCensus.
Method 1: Meta Ads Library Intelligence
🎯 Best For: Competitive research, creative inspiration, validating ad-running stores
The Meta Ads Library is a free goldmine for finding active advertisers, but most people use it wrong. Here's how to extract maximum value.
Advanced Ads Library Strategies
Search Strategy | What It Finds | Pro Tip |
---|---|---|
Competitor analysis | Stores in your niche running ads | Search competitor brand names |
Creative research | High-performing ad formats | Filter by "Active" ads only |
Seasonal patterns | Stores ramping up for events | Check ad start dates |
Budget indicators | Heavy vs. light advertisers | Count active ad variations |
Reading Ad Spend Signals
High-Spend Indicators:
- 10+ active ad variations
- Video ads (higher production cost)
- Multiple campaign objectives
- Consistent 30+ day ad runs
- Professional creative quality
Budget-Conscious Indicators:
- 1-3 active ads
- Static image ads only
- Short ad runs (7-14 days)
- User-generated content style
- Limited targeting options
Extracting Shopify Store URLs
From Ads Library to StoreCensus:
- Find active ads in your target niche
- Click through to landing pages
- Identify Shopify stores (myshopify.com or custom domains)
- Input URLs into StoreCensus store checker
- Get full data profile (revenue, traffic, tech stack)
Limitations of Manual Research
Problem | Impact | Solution |
---|---|---|
Time-intensive | 5-10 stores per hour max | Use StoreCensus bulk filtering |
No qualification data | Can't filter by revenue/traffic | Combine with StoreCensus data |
Limited scale | Hard to find 100+ prospects | Automate with technology filters |
Method 2: StoreCensus Technology Filtering
🎯 Best For: Qualified prospects, bulk exports, detailed targeting, contact information
StoreCensus is the fastest way to find ad-running Shopify stores with complete qualification data and verified contact information.
Essential Filters for Ad-Running Stores
Core Ad Intelligence Filters:
- Technology: Meta Pixel (indicates Facebook advertising)
- Estimated Sales: $100k-$1M yearly (proven business model)
- Total Traffic: 10,000+ monthly visitors (active customer base)
- Product Count: 101-1000 products (established catalog)
Advanced Qualification:
- Technology: TikTok Pixel (multi-platform advertisers)
- Website Created: 1-3 years ago (established but growing)
- Contact Info: Founder email available (decision makers)
Finding Multi-Platform Advertisers
To find sophisticated advertisers running on multiple platforms:
✅ Technology: Meta Pixel
✅ Technology: TikTok Pixel
✅ Estimated Sales: $250k-$1M yearly
✅ Total Traffic: 25,000+ monthly
✅ Product Count: 251-1000 products
💡 Pro Tip: Multi-platform advertisers have higher budgets and understand attribution complexity—perfect for advanced services.
Copy-Paste Filter Sets
For Facebook Ads Agencies:
Technology: Meta Pixel
Sales: $250k-$1M yearly
Traffic: 25,000+ monthly
Products: 251-1000
Vertical: Fashion & Apparel
Contact: Founder email available
For Attribution/Analytics Tools:
Technology: Meta Pixel
Sales: $500k-$2M yearly
Traffic: 50,000+ monthly
Apps: Include Klaviyo
Apps: Exclude attribution competitors
For Email Marketing (Ad-Focused):
Technology: Meta Pixel
Sales: $100k-$500k yearly
Products: 101-500
Apps: Exclude Klaviyo, Mailchimp
Vertical: Beauty & Personal Care
🧠 Try It Yourself: Apply these exact filters in StoreCensus and identify 5 ad-running stores missing a key service you provide.
Ad Spend Intelligence & Qualification
Understanding ad spend levels helps you tailor your approach and pricing to match prospect budgets.
Ad Spend Estimation Framework
Traffic Level | Estimated Monthly Ad Spend | Store Characteristics | Best Services |
---|---|---|---|
10k-25k monthly | $1,000-$3,000 | Testing and scaling | Basic optimization, setup |
25k-50k monthly | $3,000-$8,000 | Established advertisers | Advanced strategies, attribution |
50k-100k monthly | $8,000-$15,000 | Sophisticated marketers | Enterprise solutions, custom tracking |
100k+ monthly | $15,000+ | Marketing-driven businesses | Full-service management |
Technology Stack Analysis
Tech Combination | Sophistication Level | Opportunity | Approach |
---|---|---|---|
Meta Pixel only | Basic advertiser | Multi-platform expansion | Educational, growth-focused |
Meta + TikTok Pixel | Advanced marketer | Attribution, optimization | ROI-focused, data-driven |
Meta + Klaviyo | Email-integrated | Server-side tracking | Technical, attribution-focused |
Meta + GA4 + Klaviyo | Highly sophisticated | Custom solutions | Enterprise, consultative |
Red Flags to Avoid
⚠️ Warning Signs:
- Meta Pixel but under 5k traffic - Likely not spending much
- No email marketing setup - May not understand customer lifetime value
- Under 50 products - Limited advertising potential
- Website created <6 months ago - Too early stage for most services
Competitive Intelligence for App Developers
Ad-running stores using competitor apps are prime targets for migration campaigns.
Competitor Analysis Strategy
Step 1: Identify Competitor Users
Technology: Meta Pixel (proven ad budget)
Apps: Include [competitor app category]
Sales: $250k-$1M yearly
Products: 251-1000
Step 2: Find Feature Gaps
Current App | Common Limitations | Your Advantage |
---|---|---|
Basic review apps | No photo reviews, limited customization | Advanced features, better design |
Simple email tools | No attribution tracking | Facebook ad integration |
Basic analytics | No ad spend correlation | Revenue attribution |
Migration-Focused Outreach
Value Proposition Framework:
- Acknowledge current setup - "I see you're using [current app]"
- Identify specific limitation - "But it doesn't track Facebook ad attribution"
- Quantify opportunity - "That's potentially $X in missed revenue"
🚀 Find Shopify stores instantly → Try StoreCensus Free
- Offer migration assistance - "We handle the entire switch"
App Developer Filter Combinations
For Review Apps:
Technology: Meta Pixel
Apps: Include Judge.me, Loox, Stamped
Sales: $100k-$500k yearly
Products: 101-500
For Email Marketing Apps:
Technology: Meta Pixel
Apps: Include Privy, Omnisend
Apps: Exclude Klaviyo
Sales: $250k-$1M yearly
For Analytics/Attribution:
Technology: Meta Pixel
Sales: $500k-$2M yearly
Apps: Exclude Triple Whale, Northbeam
Traffic: 50,000+ monthly
Cold Outreach for Ad-Running Stores
Ad-running stores respond differently than regular prospects. They understand metrics, ROI, and are used to vendor pitches.
The Psychology of Ad-Focused Outreach
What Works:
- Data-driven insights - Reference their ad spend or traffic patterns
- ROI-focused messaging - Speak in terms of ROAS, CPA, LTV
- Specific observations - Mention their current ad platforms or gaps
- Quick wins - Offer immediate improvements to current setup
What Doesn't Work:
- Generic marketing advice
- Basic education about advertising
- Long explanations of your service
- Pushy or desperate tone
⚠️ Mistakes to Avoid
- Assuming they're beginners - They're already advertising successfully
- Pitching basic services - They need advanced solutions
- Ignoring their current setup - Reference what they're already doing
- No clear ROI - Always quantify potential improvements
Cold Email Templates for Advertisers
These templates are specifically designed for stores already running Facebook ads.
Template 1: Attribution Gap (Agencies)
Subject:Quick question about [Store Name]'s Facebook attribution
Performance: 34% open rate, 18% response rate
Hi [First Name],
Been analyzing successful [vertical] advertisers - [Store Name]'s
Facebook ads look solid.
Quick question: are you tracking which Facebook campaigns
drive repeat purchases?
Most stores your size ($[revenue range] yearly) are missing
25-35% of their Facebook ROI because they can't see the full
customer journey.
[Similar store] had the same blind spot. We set up proper
attribution tracking and they discovered their Facebook ads
were actually driving 40% more revenue than reported.
Worth a 15-minute call to show you their exact setup?
Best,
[Your Name]
P.S. Love the [specific product] ads - great creative angle
for [season/trend].
Template 2: Multi-Platform Opportunity
Subject:[Store Name] + TikTok ads = missed opportunity?
Performance: 31% open rate, 16% response rate
Hi [First Name],
Noticed [Store] is crushing it with Facebook ads in the
[vertical] space. Impressive [specific metric/observation].
Quick question: have you tested TikTok ads yet?
Stores like yours ($[revenue range], [age demographic]) are
seeing 30-50% lower CPAs on TikTok compared to Facebook,
especially for [product type].
[Competitor/similar store] added TikTok to their Facebook
strategy and increased total ad revenue by 60% in 3 months.
Want to see their exact TikTok setup and results?
Best,
[Your Name]
Template 3: App Developer (Attribution Tool)
Subject:Better Facebook attribution for [Store Name]
Performance: 29% open rate, 14% response rate
Hi [First Name],
Saw [Store] is running Facebook ads with [current setup].
You're getting good results, but there's a much better way
to track your true Facebook ROI.
The attribution you're seeing is probably 20-30% lower than
reality because of iOS 14.5+ tracking limitations.
[Similar store] was in the same situation. They switched to
our server-side tracking and discovered their Facebook ads
were actually driving $[amount] more monthly revenue than
Facebook reported.
Want to see a 5-minute demo of their real attribution data?
Best,
[Your Name]
Template 4: LinkedIn DM for Advertisers
Performance: 43% response rate (LinkedIn)
Hey [Name] — saw [Store]'s Facebook ads performing well in
[vertical]. Curious if you're exploring [specific opportunity]?
We helped [similar store] increase their Facebook ROAS from
[X] to [Y] with [solution].
Happy to share what worked if you're open to ideas.
Case Studies
Main Case Study: Facebook Ads Agency Success
Background: Facebook ads agency targeting beauty brands running ads but missing TikTok opportunities.
StoreCensus Filters Used:
✅ Technology: Meta Pixel (proven Facebook advertisers)
✅ Vertical: Beauty & Personal Care
✅ Estimated Sales: $250k-$1M yearly
✅ Total Traffic: 25,000+ monthly visitors
❌ Technology: Exclude TikTok Pixel (missing opportunity)
✅ Contact Info: Founder/marketing email available
Results:
Metric | Target | Actual | Performance |
---|---|---|---|
Valid Emails | 200 | 218 | +9% |
Open Rate | 30% | 38% | +27% |
Response Rate | 12% | 19% | +58% |
Meeting Rate | 6% | 11% | +83% |
Close Rate | 25% | 40% | +60% |
New MRR | $12,000 | $22,800 | +90% |
Mini Case Study 1: Attribution App Developer
Strategy: Filtered $500k–$2M revenue, Meta Pixel, no advanced attribution tools.
Results: 500 stores → 95 demos → 23 installs → $4.6k MRR added.
Key Takeaway: Ad-running stores immediately understand attribution value—much faster sales cycle than general prospects.
Mini Case Study 2: Email Marketing (Ad-Focused)
Strategy: Filtered Meta Pixel + no Klaviyo, Beauty vertical, $100k-$500k revenue.
Results: 300 prospects → 57 replies → 12 clients closed in 30 days.
Key Takeaway: Stores already running ads understand the value of email attribution—easier to sell advanced features.
FAQ (Frequently Asked Questions)
How do I find Shopify stores running Facebook ads?
Use StoreCensus's Technology filter to find stores with "Meta Pixel" installed. This indicates they're running Facebook ads and have proven marketing budgets. You can also use the Meta Ads Library for manual research.
What's the difference between Meta Pixel and Facebook Pixel?
Meta Pixel is the current name for Facebook Pixel (rebranded in 2021). In StoreCensus, we use "Meta Pixel" to refer to Facebook/Instagram advertising tracking code.
How do I estimate a store's Facebook ad spend?
Use traffic volume as a proxy: 10k-25k monthly visitors typically spend $1k-$3k monthly on ads, while 50k+ visitors often spend $8k+ monthly. StoreCensus provides traffic estimates for accurate qualification.
Should I target stores using multiple ad platforms?
Yes! Stores with both Meta Pixel and TikTok Pixel are sophisticated advertisers with higher budgets. They understand attribution complexity and are perfect for advanced services.
How do I find stores missing email attribution?
Filter for stores with Meta Pixel but without advanced email tools like Klaviyo. These stores are running ads but missing 30-40% of revenue attribution from email follow-up campaigns.
About the Author & Methodology
About the Author
Nick Dooley is the founder of StoreCensus, a Shopify data intelligence platform helping agencies and app developers target over 2M stores worldwide. He has helped 100+ ecommerce professionals optimize prospecting and grow recurring revenue through data-driven targeting strategies.
Methodology
All data comes from StoreCensus's live Shopify index, which tracks over 2M stores with revenue, traffic, app, and technology enrichment updated weekly. Our ad intelligence analysis includes:
- Technology detection through automated pixel tracking
- Ad spend estimation models based on traffic and conversion patterns
- Multi-platform advertising analysis (Meta, TikTok, Pinterest, Google)
- Attribution gap identification through app and pixel correlation
- Contact information verification through multiple data sources
Key Takeaways
Strategic Insights
- Ad-running stores are premium prospects - They have budgets and understand ROI
- Multi-platform advertisers pay more - Target stores with Meta + TikTok Pixel
- Attribution gaps are common - 34% miss email attribution opportunities
- Traffic indicates ad spend - Use visitor volume to estimate budgets
- iOS recovery is complete - 89% have adapted, focus on server-side tracking
Tactical Implementation
- Use Meta Pixel as primary filter - Indicates proven advertising investment
- Target $250k-$1M revenue range - Best balance of budget and decision speed
- Reference current ad setup - Show you understand their existing efforts
- Speak in ROI terms - ROAS, CPA, LTV language resonates
- Offer attribution improvements - Most common gap in ad-running stores
App Developer Specific
- Target competitor users with ad budgets - Higher likelihood of switching
- Focus on attribution and tracking gaps - Common pain point for advertisers
- Offer migration assistance - Reduce friction for switching apps
- Quantify revenue impact - Show specific ROI improvements
- Use technical language - These prospects understand advanced concepts
Related Guides
Ready to find ad-running Shopify prospects? StoreCensus provides all the technology filters and ad intelligence mentioned in this guide. From Meta Pixel detection to traffic-based ad spend estimation to verified contact information—everything you need to target the highest-value prospects.
🚀 Start finding qualified ad-running prospects today → Explore StoreCensus Plans