Content ArchivingAs part of our "information findiing" initiative. we need to look at the current content within the Community. In 20.3, Khoros introduced Content Archiving. Some notes regarding items to consider and potential steps to take within the JMP User Community.
From a Khoros product manager on the About Content Archiving article:
Ideally, the content which should be archived must satisfy at least one or more criteria from below:
- The content is obsolete - content having old information, which is not of much use to members anymore
- The content has a more recent, fresh version available - another topic/article which contains same content but with more recent information
- The content is inactive - rarely anyone visits (views) or performs any activity (kudo, reply etc) on this content
Even with the above criteria, the decision to archive should be taken after considering the following:
- Does the page still generate sufficient organic SE traffic?
- Does the page still generate sufficient 3rd party site traffic?
- Does the page still generate, or participate in, any significant leads or conversions?
NotesRe: Content ArchivingAs of 16JUN2020,
The data for Discussions only includes topics and not the reply to the topics. Only a topic can be archived. When a topic archived, the replies are also archived.
Category
|
# of Messages
|
blogs
|
1985
|
discussions
|
12106
|
fileexchange
|
469
|
insidejmp
|
2967
|
Thoughts on criteria used to determine if content should be archived:
- Number of views
- Date
- Kudos
- Other?
If we look at views alone:
Category
|
Mean
|
Quantiles5
|
Quantiles10
|
Min
|
Max
|
blogs
|
2530.1964736
|
514.3
|
801.4
|
13
|
51228
|
discussions
|
4221.0498926
|
347
|
645
|
11
|
76966
|
fileexchange
|
5037.4840085
|
937
|
1770
|
66
|
51380
|
insidejmp
|
36.306370071
|
1
|
3
|
0
|
6303
|
This does not account for older messages most likely having more views than more recent messages.
So, let's account for date. Technical Support will officially only support the current version and the version prior. At present, let's assume that posts since 2018 (JMP 14 release year) are more likely to be relevant to supported releases.
|
Category
|
Year
|
blogs
|
discussions
|
fileexchange
|
insidejmp
|
2007
|
56
|
0
|
0
|
0
|
2008
|
93
|
0
|
0
|
0
|
2009
|
106
|
299
|
0
|
0
|
2010
|
106
|
480
|
0
|
0
|
2011
|
119
|
401
|
0
|
0
|
2012
|
163
|
543
|
0
|
0
|
2013
|
158
|
545
|
0
|
0
|
2014
|
117
|
651
|
180
|
256
|
2015
|
274
|
1140
|
96
|
381
|
2016
|
177
|
1230
|
58
|
378
|
2017
|
133
|
1605
|
47
|
365
|
2018
|
148
|
2162
|
39
|
627
|
2019
|
199
|
1893
|
31
|
446
|
2020
|
136
|
1157
|
18
|
514
|
|
Category
|
supported_release_year (2018 or after)
|
blogs
|
discussions
|
fileexchange
|
insidejmp
|
no
|
1502
|
6894
|
381
|
1380
|
yes
|
483
|
5212
|
88
|
1587
|
Obviously there is content prior to 2018 that would still be relevant. Views is a good indication. Another potential data point would be the number of kudos received.
|
kudos
|
|
|
|
|
|
category
|
Sum
|
Mean
|
Std Dev
|
Median
|
Min
|
Max
|
blogs
|
3665
|
1.8463476071
|
3.5023131771
|
0
|
0
|
30
|
fileexchange
|
958
|
2.0426439232
|
2.7716309808
|
1
|
0
|
27
|
insidejmp
|
1338
|
0.4509605662
|
1.3418687921
|
0
|
0
|
27
|
*discussions were omitted because the data only included topics
In looking at a combination of views broken down by year for each category
|
category
|
|
blogs
|
discussions
|
fileexchange
|
insidejmp
|
|
metrics.views
|
metrics.views
|
metrics.views
|
metrics.views
|
year
|
Mean
|
Median
|
Quantiles10
|
Min
|
Max
|
Mean
|
Median
|
Quantiles10
|
Min
|
Max
|
Mean
|
Median
|
Quantiles10
|
Min
|
Max
|
Mean
|
Median
|
Quantiles10
|
Min
|
Max
|
2007
|
1145.9464286
|
1020.5
|
721.1
|
576
|
3453
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2008
|
1319
|
993
|
758.2
|
550
|
16280
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2009
|
1304.4245283
|
1023.5
|
760.1
|
656
|
7044
|
3430.0234114
|
2151
|
1702
|
1525
|
17723
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2010
|
2385.245283
|
1389
|
887.7
|
609
|
51228
|
3044.5604167
|
1924.5
|
1631
|
1465
|
24621
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2011
|
1875.0252101
|
1341
|
970
|
816
|
17720
|
4207.5610973
|
2292
|
1670.2
|
1448
|
32716
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2012
|
2027.4355828
|
1425
|
908.4
|
696
|
13792
|
5150.092081
|
2881
|
1694.6
|
1511
|
58052
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2013
|
2784.5253165
|
1816
|
1028.1
|
723
|
21277
|
5264.6238532
|
3475
|
1744.6
|
1555
|
26092
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
.
|
2014
|
2980.2478632
|
1751
|
1059.6
|
803
|
48092
|
6056.7219662
|
6528
|
1820
|
1555
|
25425
|
5995.3
|
4192
|
2273.2
|
2024
|
39128
|
28.5859375
|
20
|
7
|
2
|
167
|
2015
|
2776.1131387
|
1956.5
|
1128
|
769
|
38532
|
6748.9140351
|
6721
|
1888.3
|
1559
|
39505
|
5214.9479167
|
3948
|
2408.4
|
2014
|
23096
|
39.540682415
|
28
|
8
|
1
|
467
|
2016
|
3986.220339
|
2274
|
1270.4
|
810
|
31200
|
6923.3292683
|
6874
|
2349.1
|
1561
|
30594
|
6429.3275862
|
4657
|
2371.6
|
2150
|
51380
|
29.328042328
|
18.5
|
3
|
1
|
232
|
2017
|
4789.3233083
|
3553
|
1498.6
|
650
|
26916
|
5189.7158879
|
4531
|
1919.6
|
970
|
76657
|
5210.5744681
|
3391
|
1992.2
|
1770
|
17701
|
32.046575342
|
19
|
3
|
0
|
398
|
2018
|
3795.3040541
|
3094.5
|
1325.3
|
143
|
17737
|
3806.1096207
|
3254.5
|
1162.2
|
751
|
76966
|
2711.3589744
|
2226
|
1714
|
1563
|
5878
|
51.414673046
|
23
|
3
|
1
|
6303
|
2019
|
1737.2914573
|
1556
|
487
|
31
|
5581
|
2063.5736926
|
1358
|
417.4
|
154
|
63797
|
1704.0967742
|
1293
|
839.6
|
788
|
8113
|
35.621076233
|
23
|
5
|
1
|
355
|
2020
|
673.74264706
|
458.5
|
53.4
|
13
|
5919
|
555.81763181
|
403
|
168
|
11
|
10779
|
356.83333333
|
225
|
66
|
66
|
1018
|
28.075875486
|
12
|
1
|
1
|
444
|
Based on this information, I would propose the following view thresholds for messages between 2007-2017 that are candidate for being archived:
Blogs - 700
Discussions - 1650
File Exchange - 2250
InsideJMP - 15
Using these numbers would result in potentially 833 messages being archived. Here's the breakdown by category:

â
Re: Content ArchivingDid some further exploration of the Discussions area. The Khoros data gives the total views of an article during its lifetime. The Google Analytics data gives the total views of an article during a given time span. I pulled the GA data for one year then took the intersection of the top 50 (lifetime) viewed articles and the GA results. The graphs for those can be found on JMP Live Sales under the Customer Care group.
There are some articles that have been viewed often in the past year but did not make the top 50 list for lifetime views. Will need to do further investigation for those.
The articles show in the graphs above though will be a good place to start to verify existing content is relevant.