Ecommerce buying signals: 79 changes that show a store needs help now
We track 600,000+ ecommerce stores. When a store loses organic traffic, cuts its ad spend, or loses its marketing lead, we flag it. Below is every buying signal we detect today.
What are ecommerce buying signals?
Ecommerce buying signals are changes in an online store's public data that show it is likely to buy a service or tool soon. Examples: organic traffic falls 30% in 90 days, Google Ads spend drops to zero, or the head of marketing leaves.
A store database tells you what a store is. A buying signal tells you what just changed, and why the store needs help now.
Every ecommerce buying signal we detect
79 signals across 600,000+ stores. If a signal is not on this list, describe it and we will build it.
Get a free list of stores that match your ICP and your signals.
SEO & Organic signals
14 signalsPaid Media signals
23 signalsAgency & Outsourcing signals
7 signalsReviews & Customer Experience signals
6 signalsPlatform & Tech Stack signals
9 signalsGrowth & Revenue signals
8 signalsSocial signals
8 signalsContacts & Firmographics signals
4 signalsBuying signals vs. intent data vs. firmographics
All three help you find leads. Only one tells you which ecommerce store needs help this month, and why.
What it tells you
- Firmographic data
- What the store is: size, country, platform, industry
- B2B intent data
- Someone at a company read articles on a topic
- Ecommerce buying signals
- What changed in the store, and the problem it causes
Example
- Firmographic data
- "Shopify store, US, $5M revenue"
- B2B intent data
- "Researching SEO agencies"
- Ecommerce buying signals
- "Organic traffic down 34% in 90 days, no SEO person in-house"
Ecommerce coverage
- Firmographic data
- Good
- B2B intent data
- Weak. Small stores do not show up in B2B research data.
- Ecommerce buying signals
- 600,000+ stores, from public store data
Your first email
- Firmographic data
- Generic. You must guess the problem.
- B2B intent data
- Vague. You cannot say what you saw.
- Ecommerce buying signals
- Specific. You open with the problem you found.
| Comparison | Firmographic data | B2B intent data |
 Ecommerce buying signals
|
|---|---|---|---|
| What it tells you | What the store is: size, country, platform, industry | Someone at a company read articles on a topic | What changed in the store, and the problem it causes |
| Example | "Shopify store, US, $5M revenue" | "Researching SEO agencies" | "Organic traffic down 34% in 90 days, no SEO person in-house" |
| Ecommerce coverage | Good | Weak. Small stores do not show up in B2B research data. | 600,000+ stores, from public store data |
| Your first email | Generic. You must guess the problem. | Vague. You cannot say what you saw. | Specific. You open with the problem you found. |
One signal is a hint. Three signals are a lead.
A single drop in traffic can be noise. When the traffic drops, the ad budget stops, and the marketing lead leaves in the same quarter, the store needs help now.
We combine signals and give you the complete briefing, so you can write an ultra personalized message.
"Your Google Ads stopped in September, the same month organic traffic started to fall. With no one in-house since August, we can take over both channels this month."
How to use ecommerce buying signals in your outreach
A signal is only useful when it reaches the right person with the right message. Use these four steps.
Set your ICP
Pick country, industry, platform, and revenue band through our database. This removes stores you cannot serve.
Pick the signals you solve
Choose the signals that match your service. An SEO agency picks organic traffic drops. A Shopify agency picks replatforms.
Reveal the decision maker
Get the name, role, verified email, and LinkedIn of the person who owns the problem.
Lead with the signal
Open your email with the change you found. Use the suggested angle, or export to CSV and your CRM.
What are ecommerce buying signals?
They are changes in a store's public data that show it is likely to buy a service soon. Examples: a traffic drop, a stop in ad spend, a new platform, or a marketing lead who left.
Which buying signals show a store will hire an agency?
It depends on your service. An SEO agency looks at organic traffic drops. A paid media agency looks at ad spend cuts or surges. A Shopify agency looks at replatforms. Agency and outsourcing signals, such as a marketing lead who left, apply to every service.
Where does the signal data come from?
From public store data: traffic and search estimates, ad libraries, site scans, tech stack detection, reviews, and social profiles.
Can I filter stores by more than one signal?
Yes. Combine as many signals as you want with your ICP filters. A store that matches several signals is a stronger lead.
Can you track a signal that is not on this list?
Yes. Describe the signal and we will build it.
Do I get contacts for stores with buying signals?
Yes. Reveal the decision maker of any store, with name, role, verified email, and LinkedIn.
Find stores with buying signals today
Pick your signals, see the stores that match, and reach the decision maker. No credit card needed.