A/B Testing signals

Name: A/B Testing signals
Creator: PeerPush
License: https://peerpush.com/terms

Search demand

How often on-site searches surfaced A/B Testing products in the top results.

10+ people's searches surfaced A/B Testing products this week

New-entrant attention

How much discovery attention fresh launches are winning in A/B Testing. Last 7 days.

3.5% of A/B Testing discovery attention goes to newcomers

Fresh launches make up 1.6% of the products winning discovery attention in the last 7 days.

Switcher pressure

How much alternative-shopping demand is flowing toward what A/B Testing products challenge. Last 7 days.

Moderate

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

Who this serves

The audience mix across A/B Testing products - which audiences this space serves most.

Pricing mix

How A/B Testing products are priced. Helps buyers know what to expect.

Freemium50%
Free25%
Subscription25%

Platform availability

Where A/B Testing products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across A/B Testing products. Last 7 days.

32 / 100

competitive

FragmentedConsolidated

A/B Testing is competitive - attention is shared across a broad field with a few pulling ahead.

Herfindahl index: 174.7 / 10,000

Device mix

How A/B Testing gets discovered: desktop vs mobile. Last 7 days.

Desktop97.7%
Laptops and desktops
Mobile2.3%
Phones and tablets

Rising audiences

Top 1

The audiences gaining AI attention among A/B Testing products this week.

Marketers
62% of 7-day AI traffic+16%

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 A/B Testing 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 A/B Testing; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The A/B Testing signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The A/B Testing signals are free to view on the public tier, with deeper history and detail available on Pro.