StoreCensus

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.

By Nick Dooley

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 TypeWhy They're ValuableWhat They Need
Active advertisersProven marketing investmentBetter ad performance, attribution
Scaling storesGrowth-focused mindsetAdvanced tools, optimization
Budget-consciousUnderstand ROI metricsEfficiency 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

Metric20242025YoY Change
Stores with Meta Pixel58%62%+7%
Stores with TikTok Pixel12%18%+50%
Multi-platform advertisers8%12%+50%
Avg monthly ad spend$2,400$2,800+17%
Stores using Klaviyo + Meta Pixel18%24%+33%
Missing email attribution42%34%–19%
iOS 14.5+ impact recovery65%89%+37%

💡 Data Source: StoreCensus 2025 Ad Intelligence Index (1.2M+ analyzed ad-running stores)

🚀 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 FieldDescriptionExample
NicheStore categoryBeauty & Personal Care
Ad Spend LevelMonthly investment$1,000-$5,000
Platform MixAdvertising channelsMeta + TikTok Pixel
Revenue RangeEstimated yearly sales$250k–$1M
Attribution GapMissing trackingNo email attribution
Traffic VolumeMonthly visitors15k–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 StrategyWhat It FindsPro Tip
Competitor analysisStores in your niche running adsSearch competitor brand names
Creative researchHigh-performing ad formatsFilter by "Active" ads only
Seasonal patternsStores ramping up for eventsCheck ad start dates
Budget indicatorsHeavy vs. light advertisersCount 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:

  1. Find active ads in your target niche
  2. Click through to landing pages
  3. Identify Shopify stores (myshopify.com or custom domains)
  4. Input URLs into StoreCensus store checker
  5. Get full data profile (revenue, traffic, tech stack)

Limitations of Manual Research

ProblemImpactSolution
Time-intensive5-10 stores per hour maxUse StoreCensus bulk filtering
No qualification dataCan't filter by revenue/trafficCombine with StoreCensus data
Limited scaleHard to find 100+ prospectsAutomate 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 LevelEstimated Monthly Ad SpendStore CharacteristicsBest Services
10k-25k monthly$1,000-$3,000Testing and scalingBasic optimization, setup
25k-50k monthly$3,000-$8,000Established advertisersAdvanced strategies, attribution
50k-100k monthly$8,000-$15,000Sophisticated marketersEnterprise solutions, custom tracking
100k+ monthly$15,000+Marketing-driven businessesFull-service management

Technology Stack Analysis

Tech CombinationSophistication LevelOpportunityApproach
Meta Pixel onlyBasic advertiserMulti-platform expansionEducational, growth-focused
Meta + TikTok PixelAdvanced marketerAttribution, optimizationROI-focused, data-driven
Meta + KlaviyoEmail-integratedServer-side trackingTechnical, attribution-focused
Meta + GA4 + KlaviyoHighly sophisticatedCustom solutionsEnterprise, consultative

Red Flags to Avoid

⚠️ Warning Signs:

  1. Meta Pixel but under 5k traffic - Likely not spending much
  2. No email marketing setup - May not understand customer lifetime value
  3. Under 50 products - Limited advertising potential
  4. 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 AppCommon LimitationsYour Advantage
Basic review appsNo photo reviews, limited customizationAdvanced features, better design
Simple email toolsNo attribution trackingFacebook ad integration
Basic analyticsNo ad spend correlationRevenue attribution

Migration-Focused Outreach

Value Proposition Framework:

  1. Acknowledge current setup - "I see you're using [current app]"
  2. Identify specific limitation - "But it doesn't track Facebook ad attribution"
  3. Quantify opportunity - "That's potentially $X in missed revenue"

🚀 Find Shopify stores instantly → Try StoreCensus Free

  1. 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

  1. Assuming they're beginners - They're already advertising successfully
  2. Pitching basic services - They need advanced solutions
  3. Ignoring their current setup - Reference what they're already doing
  4. 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:

MetricTargetActualPerformance
Valid Emails200218+9%
Open Rate30%38%+27%
Response Rate12%19%+58%
Meeting Rate6%11%+83%
Close Rate25%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

  1. Ad-running stores are premium prospects - They have budgets and understand ROI
  2. Multi-platform advertisers pay more - Target stores with Meta + TikTok Pixel
  3. Attribution gaps are common - 34% miss email attribution opportunities
  4. Traffic indicates ad spend - Use visitor volume to estimate budgets
  5. iOS recovery is complete - 89% have adapted, focus on server-side tracking

Tactical Implementation

  1. Use Meta Pixel as primary filter - Indicates proven advertising investment
  2. Target $250k-$1M revenue range - Best balance of budget and decision speed
  3. Reference current ad setup - Show you understand their existing efforts
  4. Speak in ROI terms - ROAS, CPA, LTV language resonates
  5. Offer attribution improvements - Most common gap in ad-running stores

App Developer Specific

  1. Target competitor users with ad budgets - Higher likelihood of switching
  2. Focus on attribution and tracking gaps - Common pain point for advertisers
  3. Offer migration assistance - Reduce friction for switching apps
  4. Quantify revenue impact - Show specific ROI improvements
  5. Use technical language - These prospects understand advanced concepts


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 todayExplore StoreCensus Plans