How digital Agencies Find 200+ Qualified Ecommerce Leads Per Month

I've worked with over 200 agencies in the past two years. The pattern is consistent: they're hemorrhaging leads.

You find a perfect prospect. Great tech stack, right revenue range. You send an email. They respond: "Interesting, but not right now."

Then what happens?

70% of agencies: The lead goes into a spreadsheet, gets forgotten, dies. Three months later, they hire your competitor.

Top 30% of agencies: The lead gets rated, tracked, followed up with perfect timing. Three months later, they become a client.

The difference isn't hustle. It's systems.

Here's the framework agencies use to find 200+ qualified ecommerce leads monthly and actually convert them.

The Compounding Pipeline Framework

After analyzing agency workflows, the lead loss breaks down like this:

Quarter result: 300 leads → 3 clients → 297 leads permanently lost

Compare that to agencies using a compounding pipeline:

Quarter result: 600 leads → 12 clients → 540 warm prospects for future

Same prospecting effort. 300% more revenue.

The difference: A system that captures, rates, and re-engages leads over time.

Five Ways Spreadsheets Kill Your Pipeline

Here's where leads actually die:

1. The Black Hole (40% of leads)

Lead says "not right now" → goes into spreadsheet → never contacted again.

Fix: Reminder system with specific re-engagement dates.

2. The Spreadsheet Shuffle (20% of leads)

Info scattered across CSVs, Gmail, Slack. No central source of truth.

Fix: Single platform that combines prospecting + CRM.

3. Priority Paralysis (15% of leads)

All 200 leads look identical. No triage system. Equal time on everyone.

Fix: 1-5 star rating to ruthlessly prioritize.

4. Context Amnesia (10% of leads)

Three months later: "Who is this? Why did I contact them?"

Fix: Notes attached to each prospect with full context.

5. Timing Trap (15% of leads)

Perfect lead, wrong timing. No follow-up plan.

Fix: Status tracking (Contacted → Replied → Negotiating → Closed).

Total: 70% of qualified leads disappear.

Your problem isn't volume. It's systems.

The StoreCensus Prospecting Engine

Most people think of StoreCensus as a lead database. It's actually five integrated systems:

Discovery → Qualification → Tracking → Nurture → Close

System 1: Surgical Discovery

Traditional approach:

• Scrape 1,000 random stores
• Manually research tech stacks
• 850 are wrong fit
• Weeks wasted
• 150 actual prospects

StoreCensus approach:

• Set exact filters upfront
• 147 pre-qualified prospects instantly
• Tech stack already visible
• Zero wasted time

Example filter for email marketing agency:

Platform: Shopify
Revenue: $1M-$5M annually
Has: Meta Pixel + ReCharge
Missing: Klaviyo OR Postscript
Traffic: High (25K+ monthly)
Country: United States
Products: 100-500
Age: 2+ years

Result: 147 prospects who ALL meet criteria.

System 2: Rating for Prioritization

Rate every store 1-5 stars:

The math:

Spend equal time on everyone:

• 100 leads × 1 hour = 100 hours → 10 clients

Prioritize by rating:

• 20 five-star × 3 hours = 60 hours → 8 clients (40% close rate)
• 30 four-star × 1 hour = 30 hours → 7 clients (25% close rate)
• 50 three-star × 0.2 hours = 10 hours → 2 clients (4% close rate)

Result: 100 hours → 17 clients (70% improvement)

System 3: Status Tracking

Five statuses prevent lead death:

Traditional: Lead doesn't close in 30 days → forgotten

StoreCensus: Lead doesn't close → status updated → 90-day reminder → re-engage when ready

System 4: Reminder System

This closes deals 3-6 months out that most agencies lose.

The failure pattern:

Monday: Great call. They say "We're locked into Klaviyo until March. Let's reconnect then."

March: You forget. They hire your competitor.

Lost revenue: $50K+ annually

The system:

1. Set reminder: March 1st
2. Add context: "Klaviyo contract ends, interested in cart recovery"
3. Notification fires March 1st
4. All context visible
5. Perfect timing on follow-up

Reminder playbook:

System 5: Custom Lists

Build reusable segments:

• Hot Leads - January 2025
• Email Marketing Prospects (missing Klaviyo)
• Q1 Follow-Ups
• Beauty Brands - High Value
• Closed Deals

Lists grow more valuable as you add notes, ratings, and interaction history.

Case Study: Email Agency for Subscription Brands

Agency: Email retention for subscription beauty brands $1M-$5M Founder: Sarah (former email marketer)

Month 1

Filter used:

• Shopify + ReCharge + $1M-$5M + No Klaviyo

Found: 247 qualified prospects

Action:

• Rated all prospects (20 five-star, 50 four-star)
• Sent 150 personalized emails

Result: 4 discovery calls, 0 closes

Month 2

Action:

• Refined pitch based on feedback
• 200 emails to new batch
• Followed up on Month 1 using reminders

Result: 12 calls, 2 clients at $3.5K/month

Month 5

Pipeline: 85 tracked prospects across statuses System: 30+ leads with future reminders set Conversion: 25% of qualified leads

Result: 6 clients, $28K MRR

Month 12

Pipeline: 200+ tracked stores Inbound: Referrals from existing clients System: Rarely starting from scratch

Result: 14 clients, $84K MRR

What Worked

1. Hyper-specific niche (subscription beauty only)
2. StoreCensus filter found exact gap (ReCharge but no Klaviyo)
3. Rating system focused time on best leads
4. Reminder system captured 3-6 month deals
5. Zero leads lost to spreadsheet chaos

Current status: $120K MRR, 6 team members, 25 hours/week

Case Study: Meta Ads Agency for DTC

Agency: Meta ads management for DTC apparel Founder: Marcus (former media buyer)

Month 1

Filter used:

• Shopify + Meta Pixel + High traffic + Fashion

Found: 312 qualified prospects

Action:

• Terrible initial messaging

Result: 2 calls, 0 closes

Month 2

Changes:

• New angle: "Turn your 2x ROAS into 4x+"
• Notes to track which messaging worked
• Rated by ad spend level

Result: 15 calls, 1 client at $5K + 10% of spend

Month 3

Win: Delivered 3.8x ROAS

Action:

• Asked for 3 similar brand intros
• Searched StoreCensus for similar profiles
• Custom list to track referrals

Result: Client increased budget, 3 referral clients

Month 12

Pipeline: 150+ prospects at various stages System: Status tracking for 2-4 month sales cycles Organization: Custom lists by vertical and budget tier

Result: 12 clients, $95K MRR, waitlist

What Worked

1. Targeted brands already running Meta successfully
2. Detailed notes on each brand's ROAS/challenges
3. Status tracking for long sales cycles
4. Custom lists by vertical
5. Rating prioritized high-spend accounts

Current status: $150K MRR, declined acquisition offer

The Weekly Workflow

Here's exactly how agencies use this system:

Week 1: Discovery

Monday

• Set filters
• Find 50 new prospects
• Rate all (8-10 five-star, 12-15 four-star, rest three-star)

Tuesday-Thursday

• Research 5-star prospects (5 min each)
• Add notes on tech gaps
• Personalize outreach
• Send 30-40 emails

Friday

• Review responses
• Book discovery calls
• Set 3-day reminders on non-responders

Week 2: Follow-Up

Monday

• Reminders fire for Week 1
• Send follow-up #2 to 20-30 leads
• Book more calls

Tuesday-Thursday

• Run discovery calls
• Update status to "Replied" or "Negotiating"
• Add detailed notes
• Send proposals

Friday

• Set 90-day reminders on "not now" leads
• Add context: "Budget locked until Q2" or "Launching in March"
• Move to next batch

Week 3-4: Compound

Continue:

• 50 new prospects weekly (200/month)
• Follow up using reminder system
• Pipeline grows each cycle
• Old leads resurface

The compounding:

• Month 1: 200 leads, 180 in pipeline
• Month 2: 200 new + 180 = 380 active
• Month 3: 200 new + 380 = 580 active
• Month 6: 1,000+ prospects at various stages

Never starting from zero.

Intelligence Advantage

Every store includes data that makes outreach smarter:

Tech Stack Visibility

See: Store using Meta Pixel + ReCharge but NO Klaviyo

Your email: "Noticed you're running subscriptions with ReCharge but no email platform. Most subscription brands see 30-40% of revenue from email. Worth discussing?"

Result: 18-25% response rate vs 2-3% generic

Revenue Targeting

Contact Quality

Multiple emails with types:

• founder_personal: Decision maker (use first)
• general_info_support: Backup
• Social profiles: LinkedIn for additional touch

Store Context

• Vertical: Personalize by industry
• Product count: Understand complexity
• Store age: New vs veteran needs
• Traffic tier: Marketing success gauge
• Review count: Reputation/scale

All intelligence makes every email more relevant and higher converting.

Implementation Steps

Step 1: Define Perfect Client (15 min)

• Revenue range?
• Geography?
• Tech stack that indicates need?
• Best performing vertical?

Step 2: Build Filter (10 min)

Example for email agency:

Platform: Shopify
Revenue: $1M-$5M
Has: ReCharge
Missing: Klaviyo
Traffic: Medium-High
Country: US
Age: 1+ years

Output: 200+ perfectly qualified prospects

Step 3: Rate First 50 (30 min)

Criteria:

• Budget? (revenue tier)
• Problem? (tech gap)
• Reachable? (email available)
• Fit? (vertical/brand)

Step 4: Add Notes on Top 10 (20 min)

Examples:

• "500+ ReCharge subscribers, perfect for retention"
• "No email platform, huge opportunity"
• "Beauty brand, matches case studies"

Step 5: Start Outreach (1 hour)

Personalize 20 emails referencing:

• Specific tech stack
• Gap you noticed
• Similar brand helped
• Specific result

Step 6: Set Reminders (10 min)

For "not ready" responses:

• Set specific date
• Add context note
• Update status
• Move to next batch

Total time: 3 hours to find, rate, and start outreach on 50 qualified leads.

vs Traditional:

• 10 hours scraping lists
• 5 hours researching manually
• 3 hours building spreadsheets
• Constant context-switching

Month-by-Month Growth Pattern

Same outreach volume. Exponential results.

Why This Beats Alternatives

vs Buying Lists

Bought lists:

• 40%+ bounce rate
• No tech visibility
• Generic segments
• No CRM
• One-time use

StoreCensus:

• Real-time active stores
• Full tech stack
• 1000+ filter combinations
• Built-in CRM
• Constantly updated

vs Traditional CRM

HubSpot/Salesforce:

• Import leads first
• No prospecting
• Context lost on import
• $100-$500/month
• Complex setup

StoreCensus:

• Prospect and manage together
• Context never lost
• $49-$199/month
• Simple setup
• Built for ecommerce

vs Spreadsheets

Spreadsheets:

• Manual entry
• No automation
• Easy to forget
• Can't see tech stack
• Version chaos

StoreCensus:

• Auto enrichment
• Reminder automation
• Tech stack visible
• Single truth
• Built-in tracking

The Strategic Moat

After 6 months of consistent use:

Proprietary intelligence:

• Which tech gaps convert in your niche
• Which verticals respond to which messages
• Seasonal patterns
• Decision-maker contacts for hundreds of stores

Relationship capital:

• Stores not ready now but will be
• Merchants who remember you first
• Networks in same vertical

Compounding pipeline:

• 800+ prospects at various stages
• Detailed notes on every conversation
• Perfect follow-up timing
• Never starting from zero

Competitors can't replicate 6 months of data, relationships, and pipeline overnight.

Start Building Today

The system:

• Discovery: Surgical filtering
• Qualification: Rating system
• Tracking: Status management
• Nurture: Reminder system
• Pipeline: Custom lists

The results:

• 200+ qualified leads monthly
• 15-25% response rates
• 5-15 new clients monthly
• Compounding pipeline

The timeline:

• Week 1: Build filters, rate 50
• Week 2: Send outreach, book calls
• Week 3: Close clients, build pipeline
• Month 3: 200+ active prospects
• Month 6: 800+ tracked leads, 10+ clients

Agencies building this system today will have an insurmountable advantage in 6 months.

The ones using spreadsheets will still be starting from zero, losing 70% of their leads.

Start building your pipeline →

Related:

• Agency Pipeline That Converts 70% of Leads
• How to Find Shopify Stores
• Automating App Installs Guide

Month 1:

• Find 100 Shopify stores
• Send 100 emails
• Get 20 responses
• Book 5 calls
• Close 1 client

What happened to the other 99 leads?

Gone. Vanished. Dead in a spreadsheet somewhere.

Month 2:

• Start from zero
• Find 100 NEW stores
• Send 100 NEW emails
• Same results
• Same 99 leads lost

This is the Prospecting Tax: Starting from zero every month because you have no system to track, nurture, or re-engage.

The Brutal Math

Here's what the lead loss actually costs you:

Same prospecting effort. 233% more revenue.

The difference? A system that doesn't lose leads.

Why Spreadsheets Kill Agency Pipelines

I've audited hundreds of agency workflows. Here's how leads actually die:

The Black Hole (40% of leads)

• Lead says "not right now"
• Goes into spreadsheet
• Never contacted again
• Lost forever

The Spreadsheet Shuffle (20% of leads)

• Info scattered across CSVs, Gmail, Slack
• Can't remember context
• Too much friction to follow up

The Priority Paralysis (15% of leads)

• All 200 leads look the same in spreadsheet
• No way to triage
• Spend equal time on everyone
• Close rate tanks

The Context Amnesia (10% of leads)

• Three months later: "Who is this and why did I contact them?"
• No tech stack visible
• No notes on the conversation
• Start research from scratch

The Timing Trap (15% of leads)

• Perfect lead, wrong timing
• No reminder system
• Forget to follow up
• They hire someone else

Total lead loss: 70%

Your prospecting doesn't have a volume problem. It has a systems problem.

The Paradigm Shift: Prospect Where You Found Them

Here's what changes everything:

Old way:

1. Find store in lead database
2. Export to CSV
3. Copy to Google Sheets
4. Eventually add to CRM
5. Lose all context

New way:

1. Find store in StoreCensus
2. Rate it (1-5 stars)
3. Add notes
4. Set reminder
5. Track status
6. Never lose context

Why this matters:

When you discover a Shopify store in StoreCensus, you see:

• Exact tech stack (Klaviyo, ReCharge, Yotpo)
• Revenue tier estimates
• Traffic signals
• Product count
• Store age
• Decision maker emails
• Review data

The moment you rate them or add notes, all this intelligence stays attached forever—inside the same tool where you found them.

No more "Wait, why did I mark them as qualified?"

No more "What apps were they using again?"

The intelligence that made them a good prospect travels with them through your entire sales process.

The Complete System: StoreCensus as Your Prospecting Engine

Most agencies think of StoreCensus as "a Shopify store database."

That's like calling a Ferrari "a car."

StoreCensus is a prospecting engine with five integrated systems:

DISCOVERY → QUALIFICATION → TRACKING → NURTURE → CLOSE

Let me show you each system.

System 1: Surgical Precision Discovery

StoreCensus gives you thousands of filter combinations to find exactly the right stores.

Example for an email marketing agency:

Platform: Shopify
Revenue: $1M-$5M annually
Has Apps: Meta Pixel + ReCharge (subscriptions)
Missing Apps: Klaviyo OR Postscript
Traffic: High tier (25K+ monthly)
Country: United States
Product Count: 100-500
Store Age: 2+ years

Result: 147 prospects who ALL meet your exact criteria.

Traditional approach:

• Scrape random list of 1,000 stores
• Manually research tech stack
• Discover 850 are wrong fit
• Waste weeks qualifying
• End with 150 actual prospects

StoreCensus approach:

• Start with 147 pre-qualified prospects
• Tech stack already visible
• Begin outreach immediately
• Zero time wasted

System 2: The Rating System (Ruthless Prioritization)

Rate every store 1-5 stars.

The math that matters:

Equal time on all leads:

• 100 leads × 1 hour = 100 hours → 10 clients

Prioritized by rating:

• 20 five-star × 3 hours = 60 hours → 8 clients
• 30 four-star × 1 hour = 30 hours → 7 clients
• 50 three-star × 0.2 hours = 10 hours → 2 clients
• Total: 100 hours → 17 clients (70% more revenue)

System 3: Status Tracking (Prevent Lead Death)

Five status options for every store:

Traditional: Lead doesn't close in 30 days → forgotten → lost

StoreCensus: Lead doesn't close → status "Replied" → reminder set for 90 days → re-engage when timing is right

System 4: The Reminder System (Close Deals 3-6 Months Out)

This is the feature that closes the deals most agencies lose.

The failure:

Monday: Great call. They say "Love this, but we're locked into Klaviyo until Q2. Let's reconnect in March."

March: You completely forget. They hire your competitor.

Cost: $50K+ annual revenue, gone.

The StoreCensus way:

1. Set reminder on store profile: March 1st
2. Add context: "Klaviyo contract ends, interested in abandoned cart"
3. System notifies you March 1st
4. All original context visible
5. You reach out with perfect timing

The Reminder Playbook:

System 5: Custom Lists (Organize Your Pipeline)

Create reusable segments:

• Hot Leads - January 2025 (5-star stores, contacted this month)
• Email Marketing Prospects (missing Klaviyo, have subscriptions)
• Q1 Follow-Ups (stores with reminders in Q1)
• Beauty Brands - High Value (beauty niche, $2M+ revenue)
• Closed Deals (won clients for reference)

Instead of re-searching every time, you build segments that grow more valuable as you add notes, ratings, and history.

Real Agency Results

Case Study: Email Agency for Subscription Brands

Background:

• Founder: Sarah, former email marketer
• Niche: Shopify subscription beauty brands $1M-$5M
• Service: Email retention and winback

Using StoreCensus:

Month 1:

• Filtered: Shopify + ReCharge + $1M-$5M + No Klaviyo
• Found: 247 qualified prospects
• Rated all prospects (20 five-star, 50 four-star)
• Sent 150 personalized emails
• Result: 4 discovery calls, 0 closes (normal!)

Month 2:

• Refined pitch based on feedback
• Sent 200 emails to new batch
• Followed up on Month 1 leads using reminders
• Result: 12 calls, 2 clients at $3.5K/month

Month 5:

• Pipeline: 85 tracked prospects across all statuses
• Using reminders for 30+ leads with future timing
• Converting 25% of qualified leads
• Result: 6 clients, $28K MRR

Month 12:

• Built compounding pipeline of 200+ tracked stores
• Inbound referrals from existing clients
• Rarely starting from scratch
• Result: 14 clients, $84K MRR

What made it work:

• Super specific niche (subscription beauty)
• StoreCensus filters found exact gap (using ReCharge but not Klaviyo)
• Rating system focused time on best leads
• Reminder system captured deals 3-6 months out
• Never lost a lead to spreadsheet chaos

Current status: $120K MRR, team of 6, Sarah works 25 hours/week

Case Study: Meta Ads Agency for DTC

Background:

• Founder: Marcus, former media buyer
• Niche: DTC apparel $20K-$100K/month Meta spend
• Service: Meta ads management and creative

Using StoreCensus:

Month 1:

• Filtered: Shopify + Meta Pixel + High traffic + Fashion vertical
• Found: 312 qualified prospects
• Terrible initial messaging
• Result: 2 calls, 0 closes, discouraged

Month 2:

• Changed angle: "Turn your 2x ROAS into 4x+"
• Used notes to track which brands responded to what messaging
• Rated prospects by ad spend level (revenue proxy)
• Result: 15 calls, 1 client at $5K + 10% of spend

Month 3:

• Delivered 3.8x ROAS (big win)
• Asked client for intro to 3 similar brands
• Searched StoreCensus for stores with similar profile
• Used custom list to track referral prospects
• Result: Client increased budget, 3 more clients from referrals

Month 12:

• Pipeline: 150+ tracked prospects at various stages
• Using status tracking to manage complex sales cycles
• Custom lists for different verticals and budget tiers
• Result: 12 clients, $95K MRR, waitlist of prospects

What made it work:

• Targeted brands already running Meta ads successfully
• Detailed notes on each brand's current ROAS/challenges
• Status tracking for long sales cycles (2-4 months)
• Custom lists by vertical for targeted outreach
• Rating system prioritized high-spend accounts

Current status: $150K MRR, turned down acquisition offer

The Complete Workflow (Start to Close)

Here's exactly how agencies use StoreCensus to find and close 200+ leads monthly:

Week 1: Discovery

Monday:

• Set your filters (niche, revenue, tech stack, geography)
• Find 50 new qualified prospects
• Rate them all (5-star = 8-10, 4-star = 12-15, 3-star = rest)

Tuesday-Thursday:

• Research the 5-star prospects (5 min each)
• Add notes on specific tech gaps you notice
• Personalize outreach referencing those gaps
• Send 30-40 emails

Friday:

• Review responses
• Book discovery calls
• Set 3-day reminders on non-responders

Week 2: Follow-Up & Nurture

Monday:

• Reminders fire for Week 1 non-responders
• Send follow-up #2 to 20-30 leads
• Book more calls

Tuesday-Thursday:

• Run discovery calls
• Update status to "Replied" or "Negotiating"
• Add detailed notes from each call
• Send proposals to qualified leads

Friday:

• Set 90-day reminders on "not right now" leads
• Add specific notes: "Budget locked until Q2" or "Launching new product in March"
• Move to next batch of prospects

Week 3-4: Scale & Compound

Continue the cycle:

• 50 new prospects weekly (200/month)
• Follow up on previous weeks using reminders
• Pipeline grows with each cycle
• Old leads resurface when timing is right

The compounding effect:

Month 1: 200 new leads, 180 in pipeline Month 2: 200 new + 180 from Month 1 = 380 active Month 3: 200 new + 380 from previous = 580 active Month 6: 1,000+ prospects in various stages

You're never starting from zero.

The Data Advantage

Every store in StoreCensus includes intelligence that makes your outreach smarter:

Technology Stack

See exactly what they're using and what's missing:

Example: Store using Meta Pixel + ReCharge but NO Klaviyo

Your email: "Noticed you're running subscriptions with ReCharge but haven't connected an email platform. Most subscription brands see 30-40% of revenue from email. Worth a conversation?"

Result: 18-25% response rate vs 2-3% for generic outreach

Revenue Estimates

Target stores with actual budgets:

No more wasting time on stores that can't afford you.

Contact Information

Multiple emails with types:

• founder_personal: Decision maker (use this first)
• general_info_support: Backup option
• Social profiles: LinkedIn for multi-channel

Plus social media profiles for research and additional touch points.

Store Details

• Vertical: Personalize messaging by industry
• Product count: Understand catalog complexity
• Store age: New stores have different needs than veterans
• Traffic tier: Gauge their marketing success
• Review count: Understand their reputation/scale

All this intelligence makes every outreach email smarter, more relevant, and higher converting.

How to Get Started Today

Step 1: Define Your Perfect Client (15 minutes)

Answer these:

• What revenue range? ($250K-$1M? $1M-$5M?)
• What geography? (US only? International?)
• What tech stack indicates they need you? (Using X but not Y?)
• What vertical performs best? (Beauty? Fashion? Supplements?)

Step 2: Build Your First Filter in StoreCensus (10 minutes)

Example for email agency:

Platform: Shopify
Revenue: $1M-$5M
Has Apps: ReCharge (subscriptions)
Missing Apps: Klaviyo
Traffic: Medium to High
Country: United States
Store Age: 1+ years

Result: 200+ perfectly qualified prospects

Step 3: Rate Your First 50 Prospects (30 minutes)

Go through results and rate 1-5 stars based on:

• Do they have budget? (revenue tier)
• Do they have the problem? (tech gap)
• Can you reach them? (email available)
• Do you want to work with them? (vertical/brand)

Step 4: Add Notes on Top 10 (20 minutes)

For your 5-star prospects, add notes:

• "Using ReCharge with 500+ subscribers, perfect for retention emails"
• "No email platform, huge opportunity"
• "Beauty brand, good fit for our case studies"

Step 5: Start Outreach (1 hour)

Send personalized emails to your top 20 prospects referencing:

• Their specific tech stack
• The gap you noticed
• Similar brand you helped
• Specific result

Step 6: Set Reminders (10 minutes)

For leads who respond but aren't ready:

• Set specific date (based on their timing)
• Add context note
• Update status
• Move on to next batch

Total time investment: 3 hours to find 50 qualified leads, rate them, add intelligence, and start outreach.

Compare that to:

• 10 hours scraping random lists
• 5 hours researching tech stacks manually
• 3 hours building spreadsheet systems
• Constant context-switching and lead loss

The difference: StoreCensus puts prospecting, qualification, and CRM in one place.

The Compounding Pipeline in Action

Here's what happens when you run this system consistently:

Month 1: Foundation

• Find 200 new prospects
• Rate and add notes
• Send personalized outreach
• Book 15-20 discovery calls
• Close 2-3 clients
• 180+ leads in active pipeline

Month 2: Early Compound

• Find 200 new prospects
• Follow up on 180 from Month 1 (using reminders)
• 30+ "not right now" leads resurface
• Book 25-30 discovery calls
• Close 4-5 clients
• 350+ leads in active pipeline

Month 3: Acceleration

• Find 200 new prospects
• Follow up on 350+ from previous months
• 50+ leads ready to re-engage
• Book 35-40 discovery calls
• Close 6-8 clients
• 500+ leads in active pipeline

Month 6: Compounding Effect

• Find 200 new prospects
• Massive pipeline of 800+ tracked leads
• 100+ leads ready to re-engage this month
• Book 50+ discovery calls
• Close 12-15 clients
• Rarely starting from zero

The math:

Same outreach effort. Exponentially better results.

Why This Beats Every Other Approach

vs. Buying Lists

Buying lists:

• Outdated contact info (40%+ bounce rate)
• No tech stack visibility
• Generic segmentation
• No CRM features
• One-time use

StoreCensus:

• Real-time data from active stores
• Complete tech stack visible
• Surgical filtering (1000+ combinations)
• Built-in CRM (rate, note, remind, track)
• Constantly updated

vs. Traditional CRM

Traditional CRM (HubSpot, Salesforce):

• Need to import leads first
• No built-in prospecting
• Lose all context during import
• Expensive ($100-$500/month)
• Complex setup

StoreCensus:

• Prospect and manage in one place
• Context never lost
• Affordable ($49-$199/month)
• Simple setup
• Built specifically for ecommerce agencies

vs. Spreadsheets

Spreadsheets:

• Manual data entry
• No automation
• Easy to forget follow-ups
• Can't see tech stack
• Version control nightmare

StoreCensus:

• Automatic data enrichment
• Reminder automation
• Tech stack always visible
• Single source of truth
• Status tracking built-in

The Strategic Advantage

After 6 months of using StoreCensus consistently, you have something competitors can't easily replicate:

Proprietary intelligence:

• Which tech gaps convert best in your niche
• Which verticals respond to which messaging
• Seasonal patterns in your target market
• Decision-maker contact info for hundreds of stores

Relationship capital:

• Stores who aren't ready now but will be in 3 months
• Merchants who remember you reached out first
• Networks of similar stores in the same vertical

Compounding pipeline:

• 800+ prospects at various stages
• Detailed notes on each conversation
• Perfect timing for follow-ups
• Never starting from zero

This isn't just a lead source. It's a strategic moat that gets wider every month.

Your competitor can't replicate 6 months of data, relationships, and pipeline overnight.

Common Questions

"How many leads do I actually need per month?"

Depends on your close rate and goals:

• 5% close rate, want 5 clients/month = need 100 qualified leads
• 10% close rate, want 5 clients/month = need 50 qualified leads
• 20% close rate, want 10 clients/month = need 50 qualified leads

Most agencies find 200/month gives them plenty of runway for 5-15 new clients monthly.

"What if my niche is too small?"

If you can't find 500+ prospects total, your niche might be too narrow. Either:

• Expand geography (add more countries)
• Widen revenue range ($500K-$10M instead of $1M-$5M)
• Add adjacent verticals (Beauty + Wellness instead of just Beauty)

"How long does this take to set up?"

• Week 1: 3 hours to define niche and build filters
• Week 2: 5 hours to rate 100 prospects and start outreach
• Week 3: 2 hours/week ongoing for new batches
• Total: 10 hours to get fully operational

"Can I use this with my existing CRM?"

Yes. Many agencies use StoreCensus for discovery and qualification, then export hot leads to their CRM for detailed deal management. But most find they don't need a separate CRM—the built-in features handle everything.

"What if leads go cold?"

Set a 6-month reminder. Re-engage with: "Checking back in - anything changed with [original pain point]?" 30-40% of "dead" leads convert when re-engaged 6-12 months later.

Start Building Your Pipeline Today

You have everything you need:

The problem: 70% of agency leads disappear into spreadsheet chaos

The solution: StoreCensus as your complete prospecting engine

The system:

• Discovery: Surgical filtering for perfect prospects
• Qualification: Rating system for ruthless prioritization
• Tracking: Status management to prevent lead death
• Nurture: Reminders for perfect timing
• Pipeline: Custom lists that compound value

The results:

• 200+ qualified leads per month
• 15-25% response rates
• 5-15 new clients monthly
• Compounding pipeline that grows more valuable over time

The timeline:

• Week 1: Build your filters, rate 50 prospects
• Week 2: Send first outreach, book calls
• Week 3: Close first clients, build pipeline
• Month 3: 200+ active prospects in pipeline
• Month 6: 800+ tracked leads, 10+ clients

The agencies building this system today will have an insurmountable advantage in 6 months.

The ones using spreadsheets will still be starting from zero every month, watching 70% of their leads disappear.

Your prospecting engine is waiting to be built.

The question is: will you build it, or will you keep losing leads to spreadsheet chaos?

Ready to stop losing 70% of your leads? StoreCensus gives you everything in this guide: surgical prospecting filters, built-in CRM features, and a system that compounds instead of leaks.

Start building your pipeline today →

Related reading:

• How to Build a Shopify Agency Pipeline That Converts 70% of Qualified Leads
• How to Find and Target Shopify Stores
• Complete Guide to Automating App Installs