Find ecommerce stores that need your SaaS the moment they start looking

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 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.