cyberstates Β· last 7 days
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last 15 minutes Β· wall-clock presence Β· refreshes with the dash

overview
scroll reach

core: neurons β†’ visits β†’ views Β· derivatives: depth = views/visit Β· dwell = attention/visit Β· att/neuron = total looking per unique key Β· scroll = max % reached per neuronΓ—page (from attention sensor) Β· NEW = first-seen in window Β· RETURNING = seen before window

frequency
visits per neuron
days active per neuron

shape of engagement Β· flat left = healthy long tail Β· spike on 32+ = whales / bots Β· top list is heaviest keys (truncated)

retention

cohort = week of first-seen Β· W0 = that week Β· Wn = still active n weeks later Β· % of cohort size Β· returns = first seen in window, came back within 7d

pulse
vs

pick any two metrics Β· left axis green Β· right axis magenta Β· each scaled independently Β· day buckets (hour in 24h)

landings Β· exits
entry pages
exit pages

neurons = unique visitors who entered / left here Β· visits = passage count Β· grouped by first path segment (click to expand)

path flow

consecutive pageviews inside a visit Β· from β†’ to Β· thickness = neurons who took the edge Β· answers "after X, where?"

funnel

ordered path steps Β· neuron must hit each step later than the previous (any visit, full window) Β· v1 = page paths only Β· convert/tx goals come next

top pages

grouped by first path segment Β· click a folder to expand children Β· segment neurons/visits are sums of child paths (may overlap)

geo
devices
sites

one tracker, one dataset, split back per domain. a visit is credited to the site of its first event (GA-style entry attribution); the chips above re-scope every report on this page to one site instead.

visits by source
visits by channel
🏴 a cyberia project · cyberstates.net