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.

600k+
high-revenue stores tracked
79
buying signals in 8 categories
1B+
data points collected

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.

Filter by agency type
All signals SEO Agencies Paid Media Agencies Webdev / Shopify Agencies App Developers Ecommerce SaaS
SEO & Organic 14
Paid Media 23
Agency & Outsourcing 7
Reviews & Customer Experience 6
Platform & Tech Stack 9
Growth & Revenue 8
Social 8
Contacts & Firmographics 4
Bring a problem. We'll tell you how many stores have it, right now.

Get a free list of stores that match your ICP and your signals.

SEO & Organic signals

14 signals
Organic traffic falling quarter over quarter
Organic traffic in freefall: down 30%+ in 90 days
Lost a large share of their ranking keywords in the last 90 days
Rankings dropped in the weeks following a Google algorithm update
Losing referring domains faster than they gain them
Backlink profile far too thin for their revenue
Domain authority well below the other stores in their category
Almost no branded search despite six-figure revenue
Branded search growing while non-branded stays flat
Depends on organic for most of their traffic, and it just started declining
Strong revenue, negligible organic presence
Failing Lighthouse SEO score
Site slow enough that page speed is now an SEO problem
Organic traffic recovering after a long decline

Paid Media signals

23 signals
Cut Google Ads spend to zero
Cut Meta ad spend to zero
Google ad spend ramping fast quarter over quarter
Paid makes up more than 30% of their traffic. They can't turn it off.
See all 79 signals

Buying 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.

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.

N
Northbeam Coffee
northbeamcoffee.com · Shopify · United States
Urgency
High
Signals detected · last 90 days
Aug 04
Head of Ecommerce left the company
Agency & Outsourcing
Sep 12
Google Ads spend cut to zero
Paid Media
Oct 21
Organic traffic down 34% in 90 days
SEO & Organic
Suggested outreach angle

"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.

1

Set your ICP

Pick country, industry, platform, and revenue band through our database. This removes stores you cannot serve.

2

Pick the signals you solve

Choose the signals that match your service. An SEO agency picks organic traffic drops. A Shopify agency picks replatforms.

3

Reveal the decision maker

Get the name, role, verified email, and LinkedIn of the person who owns the problem.

4

Lead with the signal

Open your email with the change you found. Use the suggested angle, or export to CSV and your CRM.

Common Questions

What people ask about ecommerce buying signals.

Have more questions? Contact us

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.

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