Paid media leads for agencies: stores that need paid media right now
We monitor ecommerce stores for the paid media situations that end in an agency hire — ad spend collapsing or ramping, ads running on slow pages, paid growth with no one to manage it — 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.
Getting 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. 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.
When you talk with clients, which problems do they face?
We'll track for the same problems, and find stores struggling with the exact same thing. Whatever it is, we'll find every ecommerce store that has it right now. These are some of the paid-media-specific signals we already track across 600,000+ stores.
If you can describe a paid media problem, we can detect it. Even if no database has a field for it.
How paid media agencies use buying signals to find stores that need ad work done
A store that "needs paid media" is not a firmographic filter. It is a situation — and situations are visible from the outside, the week they start. Problem detection turns that into a timely conversation instead of a cold guess.
Cut Google / Meta ad spend to zero
What it means: the agency relationship ended, or ROAS collapsed. Either way the budget is in play right now.
Your first pitch: the rebuild — what you would run first with their budget, and why.
Ad spend ramping 50%+ in 90 days
What it means: they are scaling past what the in-house team can manage.
Your first pitch: efficiency at scale, not a takeover — better ROAS on the budget they already committed.
Active ads with poor page speed scores
What it means: every click costs more than it should, because the landing page leaks.
Your first pitch: fix the landing pages before adding spend — the cheapest ROAS lift they can buy.
Running paid ads for the first time
What it means: no playbook, no benchmarks, and they are learning on real budget.
Your first pitch: launch management with a 90-day plan and clear targets.
High paid share of traffic, no in-house team
What it means: dependent on paid, with nobody inside the business who owns the channel.
Your first pitch: a retainer that puts an owner on the channel before the dependency becomes a crisis.
High ad spend, weak organic presence
What it means: burning budget with no safety net — paid is carrying everything.
Your first pitch: full-funnel — keep paid working while organic lowers the blended CAC.
From signal to signed client
Open with the signal, not your services
The evidence is the first line of the email: "your Meta spend doubled since July while your page speed dropped to 34." A store contacted the week the signal fires is a different conversation than one contacted six months later.
Match the pitch to the situation
A store that cut spend needs a rebuild story. A store scaling fast needs an efficiency story. Same channel, different first email.
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. GMS Media Group worked phone, email and LinkedIn on the same stores you'll read about below.
Watch for the re-match
A store that said no in January and cuts its ad spend in June is a new conversation. Detection keeps watching, so the re-pitch writes itself.
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 sent weekly reports with matching stores — decision maker, evidence, and the angle. GMS contacted each one by phone, email, and LinkedIn.
Yes, we can track that too
We've tracked over 250 million data points from 600,000+ 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
Narrow it to the stores you serve
The same detection, sliced three ways. Start with the dataset that matches your clients.
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 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.
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.