Dear users of the Technical Forum,

some of you requested a statistic of the latest Bonus Campaign, so I created one with some data of the whole last year (April 2016 is the month of the Bonus Campaign).

I hope I have collected the most important informations for you

Best regards
Min_Moderator

Very interesting statistics. Thanks for this.

Looking at the last (normalized) graph..
Would the EN forum be more thankful for replies than DE forum?

There is also a strong correlation between (lack of) activity and the holiday periods - Northern Hemisphere's summer holidays in August & End of calendar year December holiday.

It would be interesting to have normalised data PageViews / NewUsers.

w

William_B

...
Would the EN forum be more thankful for replies than DE Forum? ...

No, the last graph in the Feedback statistic is not seperated in English and German.
If you calculate the propotion of thanks and ratings to posts for the different languages you will see that there is a Little bit more feedback/post percentage in the German Forum.

William_B

It would be interesting to have normalised data PageViews / NewUsers.

Hi.

The numbers I was wondering about in graphs..
(Spreadsheet attached for error checking)

I am sorry for my stupid statements earlier.

w

In the English Forum a post get more feedback (ratings + thanks), but in the German Forum a post get more ratings. So you're right I misunderstood your statement
Thank you for your effort.

To the second and third graph:
I think this graphs doesn't help at all.
'New posts' are all posts created in a month from all users, so why I want to have the ratio to the 'New users'? 'New users' are only the new registered users in a month. This numbers have nothing to do with each other.
The same with 'New topics / New users'.

Or did I miss something?

Greetings
Min_Moderator

Min_Moderator

...
'New posts' are all posts created in a month from all users, so why I want to have the ratio to the 'New users'? 'New users' are only the new registered users in a month. This numbers have nothing to do with each other.
...

 If I remember correctly - the more close the data points in the graph resembles a straight line, the more the values are correlated.

If you should calculate the correlation, it would look like:

"include"/"exclude" indicates if data from April 2016 is included or not.

The closer the abs(number) gets to 1.0, the more correlation there is. If the number is negative, the correlation is in a negative direction.

w