Live site data
The Simplest CX Data Analysis｜Beusable
Beusable is a CX big data solution that provides in-depth insights into user focus areas and navigation flows with UX Heatmap and Journey Map.
Last refresh
Updated 23d ago
Analyst read
Professional
5/100 trustTechnology & ComputingStale snapshot
Detected stack
Unknown
Quick read
How to read beusable.net quickly
beusable.net looks like technology & computing. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
- The stack appears to include Unknown.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
33/56 fields populated (59%)
1 health alerts11 providers
Providers with missing fields
ads: 0/5publisher: 2/5files: 2/3traffic: 0/10radar: 0/4
Provider health alerts
traffic: TRAFFIC_NO_DATA
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
Keep exploring
Keep exploring from this report
Browse the related category, topic, or technology path, open alternatives, or move into comparison when you have a second domain.
Related category
Browse Technology & Computing sites
Move from this site data report into the broader market cluster.
Use category pages when market context matters more than one domain.
Related topic
Browse Software sites
Use the topic route when audience and editorial intent matter more than category.
Topic pages help you compare audience intent around the same domain.
Related technology
Browse Unknown websites
Pivot from one domain into a stack-based discovery path.
Technology pages help you compare implementation patterns across similar sites.
Alternatives
Open beusable.net alternatives
Review similar domains ranked by category, audience, technology overlap, and match reasons.