The flow of visitors through your website can be summarised as follows :
Some global web maps are available. Try using aWebVisit-Map for individual page maps...
| Start date | 18/May/2000:03:04:29 |
| End date | 18/May/2000:03:04:29 |
| 'Page' hits | 1 |
| 'Image' hits | |
| Hits from excluded hosts | |
| Skipped entries | 0 |
| Valid entries | 1 |
The 'page' hits represent 100.0 % of all valid hits on your website. The 'image' hits are excluded as specified in the current configuration of aWebVisit. You may want to exclude other types of pages (e.g. RealAudio, counters, ...) in a next run...
This is probably not a large enough sample for statistical analysis. Please use logfiles covering a longer period of time...
| Visit Type | Visit Count |
Visits (%) |
|---|---|---|
| Normal visits (> 2 hits) | 0 | 0.0 |
| In & Out visits (2 hits) | 0 | 0.0 |
| Hit & Run visits (1 hit) | 0 | 0.0 |
| Discarded visits (0 hits) | 0.0 | |
| Excluded visits (e.g. robots) | 1 | 100.0 |
| Total visits | 1 | 100.0 |
0.0 % of your visitors visit at least two pages on your site, which is pretty bad ! Have a closer look at the hit & run pages and see if you might keep them on your site...
| Visit Statistics | Page hits per visit |
Elapsed time per visit |
Time per page (sec) |
|---|---|---|---|
| Minimum | - | 00:00:00 | - |
| Average | 0.0 | 00:00:00 | - |
| Maximum | - | 00:00:00 | - |
The average visit reaches 0.0 % of all pages (including returns to the same page).
The longest visit in number of hits was from host on .
It was also the longest visit in duration.
| Page Type | Hit Count |
Hits (%) |
Page Count |
Pages (%) |
Min. Hits |
Avg. Hits |
Max. Hits |
Max. (%) |
Max. Hits - Page | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Entry | 0 | - | 0 | - | - | - | - | - | |||
| Transit | 0 | - | 0 | - | - | - | - | - | |||
| Exit | 0 | - | 0 | - | - | - | - | - | |||
| Hit&Run | 0 | - | 0 | - | - | - | - | - | |||
| Total | 1 | 100.0 | 1 | 100.0 | 1 | 1.0 | 1 | 100.0 | /robots.txt |
It is worthwhile spending some time on this table. Notice for instance that of the 1 page visits, - % are visits in transit, i.e. somewhere inside your website. Or that of the 1 different pages on your website, - % are used as an entry page at least once.
Based on the 0 entries to your website, you can also see that - % of your visitors use page to enter your site, and - % use the same page right before leaving your website. There are no hit & run pages.
| Link Type | Hit Count |
Hits (%) |
Link Count |
Links (%) |
Min. Hits |
Avg. Hits |
Max. Hits |
Max. (%) |
Max. Hits - From Page | Max. Hits - To Page | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Incoming | 0 | - | 0 | - | - | - | - | - | ||||
| Internal | 0 | - | 0 | - | - | - | - | - | ||||
| Outgoing | 0 | - | 0 | - | - | - | - | - | ||||
| In&Out | 0 | - | 0 | - | - | - | - | - | ||||
| Total | 0 | - | 0 | - | - | - | - | - |
Interpretation of this table is similar to the one above. Note that redirects by your web server will also appear as links, and that frames will generate links between the main frame and its children.
Since 1 different pages were visited and 0 different links were followed on your website, we can say that visitors usually follow 0.0 links per page. This means that you may not have enough hyperlinks on your site, or that they are hardly ever used.
| Code | Description | Hit Count |
Hits (%) |
|---|---|---|---|
| 404 | Not Found Requests | 1 | 100.0 |
| Total | 1 | 100.0 |
The 'usual' status codes, i.e. 200 (Okay) and 304 (Not modified), represent 0.0 % of all hits.
The others are examined in more detail here.
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