Know which stores need a paid media agency right now
Tell us the ad problem you fix. 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 weekStopped all Meta and Google ads 9 days ago after 14 months of steady spend.
just nowMeta ad count tripled. No marketing hire listed on LinkedIn.
2 hours agoRunning 40 active ads to a landing page with a mobile speed score of 31.
YesterdayLaunched its first Meta video ads this week. No past ad history.
YesterdayGetting new clients is easy when you know who's struggling with Paid Media and why
You reach out to stores without knowing their ad strategy, hoping they're ready to outsource.
When you don't know who just cut their ad spend or who's scaling fast on their own, every email is a guess. And guesses don't close.
You can't tell if a store already has a paid media partner, or just fired one.
We detect whether a store has a marketing team in-house, is currently spending through an agency, or recently stopped all ad spend, so you only reach out when a store is actually open to switching.
Researching each store's ad activity manually is slow and incomplete.
To qualify a store you need to check Google Ads Transparency, Meta Ad Library, and site performance...per store. At 25 stores a week, that's two hours of homework before you send a single email.
We monitor 600,000+ ecommerce stores for the exact paid media signals your best clients showed before they hired you: ad spend ramping or collapsing, active ads with poor site performance, high paid traffic with no in-house team, video ad activity. You get the stores that just started matching in your dashboard, with the evidence. Reveal the decision maker's contact and the angle for your first email with credits.
Every problem we detect maps to a service you sell
You don't sell "ads". You sell a rebuild, a scale-up or a fix. We track these signals across 600,000+ stores, so you know the pitch before the call.
Rebuild and relaunch
- Cut Google or Meta ad spend to zero
- Stopped all ads after a long run of steady spend
Scale and efficiency
- Ad spend up 50%+ in 90 days
- High paid share of traffic, over 30% from ads
Landing pages and conversion
- Active Meta or Google ads with poor page speed scores
- Active video ads sending clicks to a slow store
Launch and full-funnel
- Started running paid ads for the first time
- Growing on paid with no in-house marketing team
- High ad spend with weak organic presence
If you can describe a paid media problem, we can detect it. Even if no database has a field for it.
Generic gets deleted. Specific gets read.
The same offer, two first emails. One starts with a list. The other starts with a problem you can prove.
Hi there,
We help ecommerce brands get more sales from Meta and Google ads.
Our team manages millions in ad spend and would love to show you what we can do.
Do you have 15 minutes this week?
- No reason to reply today
- Sent to 10,000 stores, hoping for the best
Hi Jordan,
I noticed Ridgeline Supply stopped all Meta and Google ads about 9 days ago, after more than a year of steady spend.
If you are rethinking how to run paid, I have a plan for the first 30 days.
Want me to send it?
- A real situation, with evidence
- Sent to the decision maker, at the right time
GMS Media Group turned 73 stores into 9 opportunities with Ecommerce Leads
"Ecommerce Leads has been a game-changer for us at GMS. They consistently deliver 20–30 high-quality stores each week, tailored to the exact demographics and geographical locations we request. Beyond just contacts, they provide valuable insight into each brand's current paid media strategy and spend, giving our team real substance when reaching out."
The challenge
GMS is one of Australia's top paid media agencies with a strong inbound pipeline. But they knew that a sustainable agency needs multiple acquisition channels. Inbound can dry up. They needed a reliable outbound channel — but only if the stores they reached out to actually had a paid media problem worth solving.
The rollout
Instead of filtering by demographics, GMS defined the situation: Australian and Kiwi stores, doing six-figure revenue, showing signals they're ready to outsource paid media. We built detection for exactly that and delivered the matching stores — decision maker, evidence, and the angle. GMS contacted each one by phone, email, and LinkedIn.
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
Ridgeline Supply just stopped all Meta and Google ads after 14 months of steady spend.
Signal: Ad spend to zero | 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 Meta ads manager
- • Stayed with their in-house team
- • Detected they paused all ads this week
- • 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 paid media 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 scaling spend but burning it on slow pages, a store that just cut all its ads, a store growing on paid with no team to manage it. We'll monitor ecommerce stores for it and send you the ones that just started matching, with the decision maker, the evidence, and an email ready to send.