Find Shopify stores that need your agency
A list of Shopify stores tells you a store exists. It does not tell you which ones need help. We monitor 300,000+ Shopify stores for the problems you sell the fixes for — traffic drops, ranking collapses, new ad campaigns, missing apps — and send you the ones that just started matching. Every store arrives with the decision maker's contact, the evidence, and the angle for your first email.
Finding Shopify stores is easy. Knowing which ones need you is not
You download a Shopify stores list and email all 10,000 of them, hoping for the best.
A list tells you a store exists. It does not tell you that anything is wrong with it, so every email is generic. And generic gets deleted.
You can't tell which stores already have an agency, or just fired one.
We detect whether a store has a marketing team in-house, is currently working with an agency, or recently stopped, so you only reach out to stores that can actually hire you.
Researching each store by hand takes 3–5 minutes.
Cross-checking traffic, SEO, ads, reviews, and app stacks for every store on a list takes 3–5 minutes per store. At 25 stores a week, that's two hours of homework before you send a single email.
We monitor 300,000+ Shopify stores for the exact problems your best clients had before they hired you: ranking drops, traffic collapses, new ad campaigns, missing apps, weak backlink profiles. Every week you get the stores that just started matching, with the decision maker's contact, the evidence, and the angle for your first email.
What does a Shopify store that needs you look like?
We'll track for the same problems your clients face, and find Shopify stores struggling with the exact same thing. Whatever it is, we'll find every Shopify store that has it right now. These are some of the Shopify-specific signals we already track across 300,000+ stores.
If you can describe a Shopify problem, we can detect it. Even if no database has a field for it.
Sample Shopify stores
Last updated on September 1, 2026.
| Store Name | Country | Monthly Traffic | Signal | Decision Maker | Role | Contact |
|---|---|---|---|---|---|---|
| Simply Tall | USA | 13K | Their revenue is down by 19% over the last 3 months compared to t(...) | Nicole Fox | Marketing Director | Subscribe to Unlock |
| Beachbikes | USA | 59K | Their revenue is up by 36% over the last 3 months compared to the(...) | Dustin Gyger | CEO | Subscribe to Unlock |
| Suplay.com | USA | 18K | Their revenue is down by 68% over the last 3 months compared to t(...) | Jared Ervin | Head of Ecommerce | Subscribe to Unlock |
| Embellish FX | USA | 38K | Their revenue is up by 99% over the last 3 months compared to the(...) | Naomi Chavez | Marketing Manager | Subscribe to Unlock |
| AmishToyBox.com | USA | 92K | Their revenue is up by 12% over the last 3 months compared to the(...) | Tess Woodruff | Founder | Subscribe to Unlock |
| ForTheFit.com | USA | 43K | Their revenue is up by 44% over the last 3 months compared to the(...) | Consuelo Bova | CMO | Subscribe to Unlock |
How it maps to what you sell
You don't sell "marketing". You sell specific fixes. Each signal we detect maps to one of them, so the pitch writes itself before the call.
SEO
Fires on: stores losing SERP positions, organic traffic, or backlinks, and stores that replatformed to Shopify and lost rankings.
Your pitch: the recovery plan — here is what the migration broke, what it costs them, and the fix.
Paid media
Fires on: stores starting Meta or TikTok ads for the first time, and stores scaling spend with no organic presence to match.
Your pitch: efficiency at scale, not a takeover — better ROAS on the budget they already committed.
CRO and development
Fires on: app counts above 15, poor page speed scores, and stores with no reviews or social proof app installed.
Your pitch: fix the store before adding spend — the cheapest conversion lift they can buy.
Email and retention
Fires on: stores with no subscription or returns management app, and stores growing their SKU count fast.
Your pitch: a retention offer that fits the gap you can already see in their app stack.
How agencies run it week to week
The detection is the product. This is the workflow that turns a weekly match into a signed retainer.
Define the problem once
Describe the situation your best clients were in right before they hired you. We turn it into detection and run it across every Shopify store we track, every week.
Open with their numbers, not your services
Every store arrives with the evidence, so the first line of the email is the store's own data — "you've lost 40% of your rankings since June" — not your agency intro. Stores contacted over a live problem reply at 8% total and 4% positive, against roughly 1% for a cold list.
Work every channel the contact gives you
Every match comes with a verified email for the decision maker, plus a LinkedIn or phone number where we have one. Bigger stores justify the phone call.
Come back when the situation changes
A store that said no in January and loses 40% of its rankings in June is a new conversation. Detection keeps watching, so the re-pitch writes itself.
Novus Digital generated $18,000 in new pipeline in under 3 months.
"Working with Diogo has transformed our outreach strategy. Before, we were manually sourcing and researching cold leads, taking time and delivering inconsistent results. Since partnering with Ecommerce Leads, we've gained access to laser-focused data tailored exactly to our ideal customers."
The challenge
Alex needed U.K. ecommerce stores facing SEO problems — the exact situation his best clients were in right before they hired him. Novus already had a solid inbound pipeline, but relying entirely on inbound meant dry months. Manual research was eating time his team didn't have.
The rollout
Alex defined the SEO problems he solves — stores with organic traffic drops, weak backlinks, poor page speed, and no branded search despite solid revenue. We built detection for it and started sending matching stores every week, with the decision maker's contact and the evidence.
Yes, we can track that too
We've tracked over 250 million data points from 500,000 stores, which lets us spot any problem you can think of. Here's how it works.
Describe the problem you solve
What problems were your best clients facing when they hired you? We turn this into detection.
Has {store} lost more than 30% of its organic traffic in the last 90 days?
Did {store} just install a subscriptions or loyalty app?
Is {store} scaling Meta ad spend while its review score is dropping?
We'll monitor every ecommerce store for it
We'll track whatever needs to be tracked: apps, ad spend, traffic, reviews, social media, and literally anything you can think of.
Get alerted where you work
Whenever a store is facing the problem you solve, you'll get alerted on Slack, email, and your CRM, with a complete briefing of their situation. No need for another login.
Signal Found: Glow Botanicals
Glow Botanicals just lost 34% of its organic SERPs due to a detected drop in loading times after a migration to a new Shopify theme.
Signal: SERP decline + Theme Change | Matches your ICP
Keep eyes on past deals, too
Had a deal that fell through? Track their store so you know when something changes.
• Last contacted, looking for a subscription app for Shopify
• Went with a competitor
• Detected they uninstalled the competitor's app
• Reach out again
Keep going
Want the leads themselves, or a free check on a single store? Start here.
Frequently Asked Questions
What is ecommerce leads data?
What are ecommerce leads?
How do you get ecommerce leads?
Why don't you charge per store?
What counts as one problem?
How many signals do I get per problem?
Can I add a problem later?
Is there a contract?
How many stores do I get per month?
How custom can a signal get?
What if you can't detect my problem?
What kind of stores do you track?
How good are these stores?
What data do I get for each store?
Where does the data come from?
Do you give decision maker contacts?
Do I get new stores, or the same ones every week?
What happens when I run out of stores?
Why not just use Store Leads or BuiltWith?
Aren't hundreds of agencies using this?
Which countries do you cover?
Where do the stores show up?
Do you take a commission on my deals?
Which industries do you work with?
How does the money-back guarantee work?
Ecommerce leads data is not a list of stores with their platform, revenue and app stack. A list tells you a store exists; it does not tell you that anything is wrong with it. Ecommerce leads data is the evidence that a store has a specific problem right now, like a traffic collapse, a new ad campaign, a broken page, a review trend, joined to the decision maker who owns that problem. We collect 50+ data points per store, keep 24 months of history, and monitor for changes, so you hear about a store the week its situation changes.
Ecommerce leads are online stores that show a fresh sign they need marketing help — a traffic drop, a new ad campaign, a ranking loss, a review trend — together with the contact of the decision maker who owns that problem. A store list tells you a store exists; an ecommerce lead tells you something is happening to it this week.
You monitor stores for changes that signal a problem — traffic drops, new ad campaigns, ranking losses, review trends — and contact the store while the change is fresh. Ecommerce Leads automates this: it tracks 50+ signals across 1.2 million ecommerce stores and sends the stores that just started matching the problem you sell, with the decision maker's contact details.
Because you're not buying stores, you're buying a detector. Every store in your market that has the problem, every week, as it happens, uncapped. What you're paying for is the detection: a system that finds stores where your exact problem is happening, including the parts no database has a field for, and it runs forever. One problem is $300 a month. Most agencies start with one, prove it, then add a second for a different service line.
One thing you sell. If you sell SEO, "stores whose SEO is failing" is one problem, and we use every signal that detects it: SERP collapse, traffic decline, no branded search, weak backlinks, paid without organic. All included. You need a second problem when you sell a second service, because that's a different ICP, a different pitch and a different campaign. Country, industry and revenue band are part of describing a problem, never extras.
All of them. Signals only mean something in combination.
Yes, at the same $300. Most customers do.
Month to month on catalogue signals. Custom builds carry a 3-month minimum.
We send a minimum of 20 stores per week, so 80 per month or more — every one of them a store that just started matching the problem you defined. Based on past client performance, about 2% of the stores we send end up becoming clients.
We track all stores in the U.S., Canada, Europe, Australia, and New Zealand, across multiple industries. We only send you stores which match the ICP you define in terms of industry, revenue, SKUs, or whatever other metrics you use.
As custom as the problem you can describe. You tell us the situation your best clients were in right before they hired you, and we build the detection across the sources it actually lives in — SEO, ads, reviews, apps, platform, revenue, socials. "Negative reviews about missing packages" isn't a field in any store database. It's a signal here.
We'll tell you before you commit, not after. Most problems can be joined out of the 50+ data points we already collect per store. If yours needs a source we don't have, we say so on the demo call.
The average positive reply rate is 4%, and the total reply rate is 8%. Contrast this with the 1% average reply rate of a cold email campaign, at best. That's an 8x increase — because you're writing to a store about something that's actually happening to it right now.
Someone has to. We send the store, the decision maker, the evidence and the angle — but the email still has to go out. Our best customers have a salesperson or a BDR who owns that. If nobody on your team owns outreach, you'll get more from hiring that person than from us, and we'd rather say so now.
50+ data points per store, including traffic, SEO, social, ads and more, with 24 months of history behind them. You also get the verified contact details of the decision maker and the evidence of the problem itself — so the first line of the email writes itself.
Paid data providers and our own collection across SEO and traffic, ad libraries, reviews, app stores, platform and stack detection, revenue estimates and social presence. The value isn't any single source — it's that they're joined per store and tracked over time, which is the part you'd otherwise do by hand in five tabs.
Yes. We always give you an email, and we try to add a LinkedIn or phone number on top of that. We only give contacts to Heads of Marketing, Heads of Ecommerce, and CEOs. These are in 99% of the cases the budget holders and decision makers.
New ones. We send stores that just started matching the problem you defined — never the same population re-sorted. That's the whole difference between this and a list you already downloaded.
You don't, in the way a list runs out. Your ICP probably isn't 10,000 stores — it's a few thousand, and a static list burns through them in about six months. But a problem isn't finite. The same few thousand stores generate new problems forever: one that was perfectly healthy in January loses 40% of its rankings in June, and that's a timely, non-spammy reason to reach out — even to a store you already pitched, even to a deal you already lost.
Store databases let you filter a fixed set of fields: platform, country, revenue band, apps installed. That tells you a store exists. It doesn't tell you anything is wrong, and everyone else filtering the same fields gets the same export you did.
We build detection for the problem you describe — including the parts no database has a field for — and monitor for it continuously, so you hear about a store the week its situation changes.
No, there aren't. We limit the number of clients we onboard to keep stores exclusive and high-quality.
You might be thinking: "You're hurting your revenue, so this is BS". But no: if we onboarded hundreds of agencies, you'd fight over the same stores with them, you'd see no results, and you'd churn. Lose-lose.
Instead, we keep increasing prices of the plans to match demand. We began Ecommerce Leads charging $49 per month! We also sell add-on services to bring in more revenue while keeping quality high.
We track all stores in the U.S., Canada, Europe (including U.K.), Australia, and New Zealand. If you have a specific country you need, let us know and we'll see how we can help.
Wherever you already work: Slack, your inbox, or a CSV or JSON export. You shouldn't need another login to find out a store needs you.
No commission. Your fee is yours to keep. You pay only for the stores and/or outreach service.
We work with agencies targeting ecommerce stores in beauty, health, personal care, fashion, home goods, golf, sports, and more. If you have a specific niche, just ask!
If you don't book a meeting after contacting 100 stores by email, phone, and LinkedIn, you get a full refund. See our Terms and Conditions for more.
Bring one Shopify problem. We'll tell you how many stores have it right now.
Describe the situation your best clients were in right before they hired you — a store losing rankings, a store starting ads with no one to manage them, a store with a broken app stack. We'll monitor Shopify stores for it and send you the ones that just started matching, with the decision maker, the evidence, and an email ready to send.