Webeyez is asolution that utilizes AI and automated systems to detect, alert, prioritize and fix operational and technical problems in eCommerce platforms, helping marketers recover potential lost revenue.
What types of eCommerce friction issues does your platform detect (checkout errors, slow load times, UX issues, rage clicks, etc.)?
"evet failures like login, registration, add to cart, remove from cart, add to favorites, place order, billing info, JS errors, failed network callss, dead click, rage click, click error"
12.
How does your platform collect and analyze user behavior data?
"Our JS code collects user behaviour from individual browsers and sends it to the Webeyez servers. ML and AI algorithms tranform the data collected to insights and opportunities."
13.
Can your platform integrate with existing eCommerce platform, analytics tools, and MarTech stack? Which ones?
"Webeyez integrates in to ANY ecommerce platofrm, including home grown ones"
14.
Do you provide real-time alerts for critical issues like checkout failures or payment errors?
"Yes we do. Alerts are part of the core stack."
15.
How does your platform help prioritize friction points based on revenue impact?
"Webeyez detects the biggest opportunities based on the lost revenue model we have developed."
16.
What level of segmentation and filtering do you offer for analyzing different user groups?
"Webeyez offeres a very granualr segmentation engine. Page, country, device, userid, event success, event failed, click on element, http request, JS error, failed network call, purchase (yes/no), coupon code and more"
17.
Can your platform track and compare friction trends over time?
"Yes it can"
18.
Does your platform offer AI-driven recommendations for resolving friction points?
"yes it does"
19.
Can your platform quantify the financial impact of resolving friction points?
"Yes, we calculate the lost revenue for each opportunity"
20.
Do you offer session replay and heatmaps to visualize user struggles in real-time?
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