E-Commerce Stores signals

Name: E-Commerce Stores signals
Creator: PeerPush
License: https://peerpush.com/terms

Search demand

How often on-site searches surfaced E-Commerce Stores products in the top results.

10+ people's searches surfaced E-Commerce Stores products this week

New-entrant attention

How much discovery attention fresh launches are winning in E-Commerce Stores. Last 7 days.

23.9% of E-Commerce Stores discovery attention goes to newcomers

Fresh launches make up 14.1% of the products winning discovery attention in the last 7 days.

Switcher pressure

How much alternative-shopping demand is flowing toward what E-Commerce Stores products challenge. Last 7 days.

Moderate

A steady stream of people are weighing the incumbents this space goes up against.

What this is for

The use-case mix across E-Commerce Stores products - what this space is built to do.

Pricing mix

How E-Commerce Stores products are priced. Helps buyers know what to expect.

Freemium45%
Subscription28.3%
Free16.7%
One-time6.7%
Paid3.3%

Platform availability

Where E-Commerce Stores products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across E-Commerce Stores products. Last 7 days.

39 / 100

consolidating

FragmentedConsolidated

E-Commerce Stores is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 191.6 / 10,000

Device mix

How E-Commerce Stores gets discovered: desktop vs mobile. Last 7 days.

Desktop94.8%
Laptops and desktops
Mobile5.2%
Phones and tablets

Rising categories

Top 1

The categories gaining AI attention among E-Commerce Stores products this week.

Marketing
28.5% of 7-day AI traffic+36%

Rising use cases

Top 1

The use cases gaining AI attention among E-Commerce Stores products this week.

Content Creation
20.8% of 7-day AI traffic+69%

Explore signals by lens

Slice AI activity by what products do, who they serve, where they run, and which AI is surfacing them.

Use cases

What people keep asking AI to find products for.

Browse all use cases

Audiences

Who the most-surfaced products are built for.

Browse all audiences

Platforms

Where products ship - web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in E-Commerce Stores on PeerPush, including rising challengers and which AI engines are most active in this space.

Momentum is measured by week-over-week growth in detail views, clicks, AI agent results, and new product launches for products in E-Commerce Stores; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The E-Commerce Stores signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The E-Commerce Stores signals are free to view on the public tier, with deeper history and detail available on Pro.