Webeyez
From $99/mo
≈ 3.8kvisits/mo
Use not read yet · estimate, read Oct 14, 2026
- For
- Ecommerce teams that want to find and fix checkout and funnel problems hurting online store conversions
- Price
- From $99/mopricing page, read Oct 16, 2026
- Used for
- find where shoppers drop out of the purchase funnel
- watch session recordings of customers hitting site problems
- track revenue lost to failed cart, login and payment actions
- Used more than 86% of the 516 tools on its shelfINITE Atlas →
- On the web since 2013, older than 95% of its shelfINITE Atlas
- Publishes llms.txt, a file written for AI assistantswebeyez.com ↗
From $99/mo
Figure and bar: visits/mo, estimate · year: online since
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ZigpollMCP · sign-in
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Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use Webeyez for?
Sign in to leave a noteWhat is Webeyez?
Records real-time screen recordings of shopper sessions and flags friction points in an online store's checkout funnel. It is listed in the Atlas under Productivity.
Who is Webeyez for?
Ecommerce teams that want to find and fix checkout and funnel problems hurting online store conversions
How much does Webeyez cost?
Paid plans start at $99/mo, per Webeyez's pricing page on 2026-10-16.
Is Webeyez free?
No. Its pricing page showed no free plan on 2026-10-16.
What are alternatives to Webeyez?
In Productivity, by use: Zigpoll, Worktivity, Currents, Dyzo, PPLIO, Proxon.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.