In the REAL-TIME / Overview page, you can see how much people are currently browsing your site. Although, how do you know if this current value is good or bad? I would like to know how much people were browsing my site the same time the day before, so I would know if I have 5% more or less people.
Also, how would I know if the site is doing it better or worse than 1, 2 or 5 hours before? The REAL-TIME shows the last 30 minutes of per minute page-views, but how do I know if the site is going down or up compared to a few hours before? 30 minutes is not enough.
Is there any add-on to add, custom modification to make, or free/paid service to complement?
You want to use the standard ("core") reporting. The dimensions that will help you are (UI / API):
Hour / ga:hour: A two-digit hour of the day ranging from 00-23 in the timezone configured for the account. This value is also corrected for daylight savings time. If the timezone follows daylight savings time, there will be an apparent bump in the number of sessions during the changeover hour (e.g., between 1:00 and 2:00) for the day per year when that hour repeats. A corresponding hour with zero sessions will occur at the opposite changeover. (Google Analytics does not track user time more precisely than hours.)
Hour of day / ga:dateHour: Combined values of ga:date and ga:hour formated as YYYYMMDDHH
Date Hour and Minute / ga:dateHourMinute: Combined values of ga:date, ga:hour and ga:minute formated as YYYYMMDDHHMM
Hour Index / ga:nthHour: The index for each hour in the specified date range. The index for the first hour of the first day (i.e., start-date) in the date range is 0, for the next hour 1, and so on
With the UI you can add a secondary dimension to reports or build custom reports, with the API you can need to build your requests from scratch (try the explorer, official API doc).
Related
Is there anyway to save reports in Clockify for a half-month period (i.e. 1-15th of the month and 16th-end)? We pay twice monthly and ideally can save off a report that can be used for a half month period.
UPDATE
Choosing a 15 day range 1st-15th and then scrolling does not work as Clockfy maintains the range size (15 days) rather than the concept of half month.
UPDATE2
Perhaps the question can better be phrased as: "does Clockify have any sort of semantic period of time for 'half-month' (aka semimonthly) that will be maintained when advancing time periods?"
I would like to retrieve historical travel times from HERE API.
Following the API documentation for 'Calculate Route', I requested travel times for a fixed route at a fixed departure time for different days in the past, using mode=fastest;car;traffic:enabled.
The result is the same route every day and a weekday pattern (i.e., same travel time each Monday) for travel times. This obviously does not include actual traffic conditions on the specified day.
From the documentation, I would have expected to get specific travel times for each day in the past (up to one year).
Did I miss something or is this just not possible?
Thanks a lot for any help!
It is not possible to get the exact route for a past date. For any date other than NOW(current time), the route is calculated with the accumulated historical data taking into consideration the week day, time of the day, any construction work etc.
EDIT
This post indicates that sessions should be interpreted as visitors for that hour.
Using the graph to identify which hour has the highest traffic and record
the number of visitors for that hour
I am looking at a Google Analytics report (Audience --> Overview) for a website. In section Audience --> Overview, I have selected Sessions vs. Select a metric. I have specified a frequency of Hourly.
I mouse clicked on a peak and saw
Thursday, January 17, 2019 10:00
Sessions:19,732
Is this telling me that I had 19,732 concurrent sessions open at 10:00? Or that in the hour between 9:00 and 10:00, that 19,732 sessions had been opened (and many likely closed)? Please note that
Avg. Session Duration = 00:09:07
I looked at How Count of Sessions is calculated and that leads me to believe that the 19,732 sessions is for the hour between 9:00 and 10:00.
Can someone confirm this?
Thank you.
Yes, that number would represent how many sessions were started during that hour.
You shouldn't interpret sessions as visitors/users. As one user can have many sessions during that hour. By default, max of 2 (new session at say the 5th minute, no activity, come back at the 35th minute, session 2).
Before Tuesday, March 14th, we saw the data lag in Google Analytics at approximately 1-2 hours. (It was never immediate.) You can see this effect on the Conversions > Ecommerce > Overview page if you search by date and select "today" to "today" (1 day's worth of data)
As of Tuesday, March 14th, we started seeing the lag for this overview report anywhere from 8-12 hours, with an inconsistent aggregation time. For example, it is now 4 PM here on the east coast (EDT), and here is a screenshot of our GA overview tab (I have obscured the revenue number for our privacy). As you can see, there are no numbers after 6:00 AM.
We saw this same effect yesterday (about 8-10 hour lag), and the following day the overview report seemed to fix itself (catch up with all of the aggregated data).
Now, what's more interesting, is that if we either A) Add a "Secondary Dimension" or B) use a "Custom Report", we can see all our data near real-time. For example, if I switch into the Ecommerce > Sales Performance report, then add a Secondary Dimension of "Hour of Day", I can see all my data through 2 PM today (about a 2 hour lag as it is now 4:22 pm as I am writing this)
[
Note that to replicate this I sorted the "Hour by day" column by descending order (showing most recent first.)
Our questions are:
(1) Does anyone know why searching by Secondary Dimension or Custom Report shows us the data in more real-time than just looking at the overview report?
(2) Can anyone else confirm that what used to be a 2-3 hour delay now appears as if it is a 8-12 hour delay, starting on or around March 14th (possibly a few days earlier, this is the first day we can remember seeing this effect)
We are using Universal Analytics (with Enhanced E-commerce) implemented via the newer analytics.js. We are NOT using the older ga.js (we moved away from that about a year ago.)
We are not a GA 360 customer, just a regular free account.
From Google Analytics Help Center article.
Processing latency is 24-48 hours. Standard accounts that send more than 200,000 sessions per day to Analytics will result in the reports being refreshed only once a day. This can delay updates to reports and metrics for up to two days. To restore intra-day processing, reduce the number of sessions your account sends to < 200,000 per day. For Analytics 360 accounts, this limit is extended to 2 billion hits per month.
What it means is that for Standard accounts up to 48h delay is normal, if you have more data it can take more if you have less data it can be faster.
Regarding your observation that certain reports load faster than others this is linked to the design of Google Analytics Backends. Google will generate pre-aggregated tables with common reports to speed up consult and that sometimes can takes longer to process. Other non-common reports can't be answered by aggregated reports so it can be responded by a different backend that already has fresher data. So it is considered normal to see different levels of freshness in different reports.
Google Analytics 360 has fresher data of course.
This other table from the HC article highlights some of the differences and has more info.
Currently pulling data from the Google Analytics API each day (PHP). The dimensions of this data pull include:
- Date
- Hour
- Minute
Metrics include
- Sessions
- Goalxstarts
- Goalxcompletions (start and completion are for the same goal).
The issue is that when including hour or minute as a dimension, the number of starts appears to include duplicates. For example, if I have 1,000 goalxstarts for a day. When including the hour and minute dimensions in the API call, it might reflect 1,500 goalxstarts.
When running a report in the Google Analytics Web interface (Custom report) with the hour and minute dimension, the goalxstarts metric does not appear to have duplicates.
I should note that goalxcompletions do not duplicate when including the hour and minute dimensions in the API call.
Does anyone know how to retrieve unique goalxstart metrics from the Google Analytics API? Much appreciated...