Returning Human visitors during the last 30 days
The Returning visits of the visitors are analyzed, out from data in the log posts, as unique visitors visit sessions running count value for a 30 day period, but displayed for the time span to view.
In parallel are the accumulated returning visits tracked via a stored visit sessions count in cookie, and a corresponding analyze of returning visit sessions is made out from unique IP numbers. Data from cookie and IP No is as a reference.
| Method of defining returning visit sessions3 : (UVV: Unique Virtual Vistor fingerprint method.) |
UVV1 | IP1 | Cookie1 |
Cookie2 total |
| Max returning visit sessions of an unique visitor: | 2 | 3 | 01 | 2 |
| Mean value of visit sessions by returning visitors: | 2 | 3 | NAN | - |
| Percent of visitors making returning visits: | 9% | 11% | 0% | - |
| Percent of pageviews made by returning visitors: | 15% | 23% | 0% | - |
| Number of returning visitors: | 1 | 1 | 0 | - |
| Number of pageviews by returning visitors: | 2 | 3 | - | |
| Unique visitors defined by methods: | 11 | 9 | 12 | - |
| Number of viewed web pages: | 13 | 13 | 13 | - |
| Percent of returning visitors has an active cookie4: | 0% | - | - | - |
| Percent of returning visitors has a reseted cookie4: | 0% | - | - | - |
The UVV algorithm is the one containing the most true statistic values (and the one PhpTrackIT is based upon).
The IP algorithm often gives a to high value of sessions per visitors due to reused dynamic IP adresses.
The Cookie algorithm often gives a to low value of sessions per visitor due to deleted cookies.
2) Based on the returning visits count value stored in the cookie of the vistors, for unique visitors within the time span.
This count value is since the cookie was created and thus could contain data for longer period than the time span!
3) A visit session = a series of pageviews of an unique visitor with no more than 3hr since last pageview.
4) This provides an indication of the problem of using cookies for tracking purpose (which PhpTrackIT does not use).
Top 10 of returning unique visitor visit sessions (UVV based) of latest 30 days
Unique vistor - Returning visit sessions
Top 10 of Cookie based returning unique visitor visit sessions, accumulated1
Unique vistor - Returning visit sessions1) Since the cookie was set, which can be long time back outside this time span.
Log posts of returning visits (visits session > 1 per unique visitor) analyzed out from UVV.
Sorts first on number of Returning visits and second on latest visit date.
(N.B. All pageviews / visits of an unique visitor (UVV) are collected in one data card, which is expandable vi filtering.)
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Visa BesöksStatistik:
Loggat av: PhpTrackIT 0.9.4.0beta
(max 1 besök loggas per 3.0 hr per unik besökare¹ och webbsida)
Hela webbplatsen:
- Webbsidor¹ senaste 30 dygnen: 16 av personer² & 3327 av robotar²
- Webbsidor¹ senaste 24hr: 1 av personer² & 89 av robotar²
- Unika besökare¹ senaste 24hr: 1 personer², 32 robotar²
- Webbsidor per unik besökare senaste 24hr: 1.0/person², 2.8/robot²
- Unika besökare¹ senaste 30 dygnen: 12 personer², 405 robotar²
- Webbsidor per unik besökare senaste 30 dygnen: 1.3/person², 8.2/robot²
- Snitt senaste 30 dygnen (webbsidor/24hr): 1 av personer² & 111 av robotar²
- Snitt senaste 30 dygnen (unika besökare/24hr): 0.4 personer² & 13.5 robotar²
- Robotar utgör 99.5% av besöken senaste 30 dygnen
- Max webbsidor/24hr: 621 av personer, 2017-02-21
- Max unika besökare/24hr: 113 personer, 2018-08-14
- Max webbsidor/30dygn: 1046 av personer, 2017-02-24
- Max unika besökare/30dygn: 175 personer, 2018-08-15
Max statistik loggad sedan: 2017-01-18
- Server time uses for PhpTrackIT logging:
- Primary log: 19.8 ms (log time part affecting webpage load time)
- Secondary log: XXX ms (asynchronous log time not affecting webpage load time)
- Ping time (Server-Browser-Server Internet round-trip time, via Php/Ajax): XXX ms
- ServertimeThis: 3.5 (ms), inclusive Includetime: 2.4 (ms)
¹ Enligt en anonym unik virtuell besökare algoritm (UVV, Unique Virtual Visitor).
² Enligt en robot-igenkännande algorithm som effektivt skiljer på robot- och person-besök.
