Know which stores need your app the week the problem starts
Describe the problem your app fixes. We watch 600,000+ ecommerce stores and send you the ones that just started matching, with the evidence and the decision maker's contact.
- 600,000+ stores monitored
- Evidence for every lead
- Decision Maker contacts available
Stores that just started matching
128 new this week14 reviews this month mention parcels that never arrived.
just nowRemoved their subscription app 6 days ago. No replacement installed.
3 hours agoAbout $700k in yearly revenue and no reporting app installed.
Yesterday1,200 products. Mobile speed score fell to 31 after a replatform.
YesterdayGetting customers is easy when you know they need your app to solve their problem
You're filtering stores by what already exists, not what's wrong.
Every app directory and store database lets you filter by platform, category, and revenue. But nobody installs an app because of their category. They install because something isn't working, and no database indexes that. Except us.
You find out about a store the same time everyone else does.
New apps appear in the Shopify App Store, new entries on BuiltWith, new filtering criteria on Store Leads, and every competitor gets the same list at the same time. The first mover advantage evaporates before you send a single email.
You don't know when a store uninstalls a competitor's app.
A store running a competitor's app today is a store that already demonstrated need. When they uninstall it, and you know before anyone else, that's a warm conversation. But no alert tells you when that happens.
We monitor 600,000+ ecommerce stores for problems your app was built to fix: review complaints about missing packages, stores scaling without analytics, high-SKU operations with poor performance scores, subscription platforms with delivery pain, churn from a competitor's app. You get the stores that just started matching in your dashboard, with the evidence. Reveal the decision maker's contact and the angle with credits.
Every problem we detect maps to an app category
Your app fixes one specific problem. We track these signals across 600,000+ stores, so you know who needs it before they search the App Store.
Returns and order tracking
- Reviews complaining about missing packages or late delivery
- Trustpilot rating dropping while revenue grows
Subscriptions
- Just launched a subscription platform
- Installed, then uninstalled, a competitor's app
Analytics and reporting
- $500k+ in revenue with no analytics or reporting tool
- Growing fast on paid ads with a poor conversion rate
Speed and storefront performance
- 500+ products with poor page speed scores
- Replatformed to Shopify this quarter
If you can describe the problem your app fixes, we can detect it. Even if no database has a field for it.
Generic gets deleted. Specific gets read.
The same app, two first emails. One starts with a feature list. The other starts with a problem you can prove.
Hi there,
We built an app that helps Shopify stores manage returns and orders.
It has 20+ features and a free trial.
Can I send you a demo link?
- No reason to reply today
- Sent to every store in the category
Hi Dana,
I saw 14 reviews on Harbor & Pine this month that mention parcels that never arrived.
Our app sends tracking updates to the customer on its own, so fewer of them write in.
Want to see it on your store?
- A real problem, with evidence
- Sent to the decision maker, at the right time
Describe the problem. We find every store that has it.
We've tracked over 1 billion data points from 600,000+ stores, so we can spot any problem you can think of.
Step 1 · Describe
Describe the problem you solve. We turn it into detection.
What were your best clients facing when they hired you? Say it in plain words and we build the check.
- See how many stores match before you commit
- Any problem you can describe: traffic, ads, reviews, and more
Step 2 · Monitor
We monitor every ecommerce store for it.
We track whatever needs to be tracked: apps, ad spend, traffic, reviews, social media, and anything else you can think of.
- 600,000+ stores, all watched for your problem
- 1 billion data points from ads, traffic, apps, and more
Step 3 · Get alerted
Get alerted where you work, with the full briefing.
When a store faces the problem you solve, you get a complete briefing of their situation.
- Slack, email, CRM, or wherever you work
- No other login needed: the briefing comes to you
Fieldstone Supply just uninstalled its subscription app and has not installed a replacement in 6 days.
Signal: Competitor uninstall | Matches your ICPStep 4 · Keep watching
Keep eyes on past deals, too.
Had a deal that fell through? Track their store so you know when something changes.
- Track lost deals by adding any store to your watchlist
- Reach out again when the timing is right
- • Last contacted, looking for a subscription app
- • Went with a competitor
- • Detected they uninstalled the competitor's app
- • Reach out again
Frequently Asked Questions
What is ecommerce leads data?
What are ecommerce leads?
How do you get ecommerce leads?
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 will I find?
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?
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 600,000+ ecommerce stores and lists the stores that just started matching the problem you sell in your dashboard. You reveal the decision maker's contact details with credits.
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.
Your dashboard lists every store that matches your filters — every one of them a store where the problem is happening now. Based on past client performance, about 2% of the stores you contact 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.
You see every store that matches your filters, including stores that matched in past weeks. Your weekly email counts the stores you have not revealed yet. Revealed stores stay revealed.
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 problem. We'll tell you how many stores have it right now.
Describe the problem your best customers had right before they installed your app. We'll monitor 600,000+ ecommerce stores for it and send you the ones that just started matching, with the decision maker, the evidence, and the angle.