Some data - consistent with
@wackawacka1 's and
@Keith DeBoer 's observations.
We have
(4) submissions in the
"Pending Review" state dated
June 29th. We have no submissions for the dates of June 26th, 27th, 28th so are unable to provide data for those dates.
Our
last Acceptance Review date for names submitted by our team were submitted back on
June 25th. All names submitted on that date by us have been provided Accepted/Rejected classifications.
Additionally, we happen to track our Submission date, Acceptance date, Editorial Review sent date, and Publish date for each of the names our team submits
Some extra insight...
- We have
(3) names sent to Editorial Review back on
June 19th that are
not yet Published (LIVE). These names have been
17 days in the Editorial Review queue.
- We have
(7) names sent to Editorial Review back on
June 23rd that are
not yet Published (LIVE). These names have been
13 days in the Editorial Review queue.
The ratio of higher value names ( > $2,500) to lower value names ( < $2,500) is consistent percentage wise for those names in the extended Editorial Review queue mentioned above. Some of the names in the higher value grouping were in the $5,000+ range. Standing in line like everyone else.
Yes, we do go a bit crazy with our tracking metrics. We group our names into 2 separate columns when they enter the Editorial Review queue. This provides our team an opportunity to observe the pace of each cluster going live versus those lingering and languishing in the queue
Coincidentally, the percentage of names in each pricing subgroup that were
13 days or greater in the Editorial Review queue is hovering at approx
40% for each subgroup (interesting it is so consistent for each subgroup cluster). 10 of 25 Accepted names have been in the Editorial Review queue for 13 days or greater. We have Zero
(0) names with Editorial Review dates
> 18 days.
This would appear to indicate that higher value names are not jumping to the front of the line. Agree, this is a small subset, but thought you might be interested in the metrics.
I hope the insight is helpful as a Publishing Queue benchmark...
-John