Google Analytics - Event Goal Completions much higher than Total Event numbers...Why? - google-analytics

I've been racking my brain trying to figure this out.
For the event goal setup, I've specified the category, action and label for the event I want tracked.
Why are goal completions so much higher - 70% higher!
Anyone have an idea why?
I was expecting goal completions to be lower than event number, since goal completions only track 1 completion per session compared to events which track every single one in a session.

Related

Is there a way to programmatically determine how long a conference room resource has been available for a given time slot?

For example, let's say a conference room was booked for a 12-1pm meeting. At 9am that same morning, a user cancelled that meeting, freeing up the conference room. Is there any way to programmatically run a script which would indicate, if run at 10am, that the room had become available one hour ago?
If you retrieve the event that was cancelled via Events.get, you can get the updated time field as a response, which, in case the event got cancelled, equals the time the event was cancelled. Then, the script can calculate the difference between current time and the time it got cancelled.
You could also use Freebusy to make sure that no one created another event after the previous one got cancelled and that the resource is free for that time.
Update
If you want to know for how long a certain conference room has been free for a certain time, you can:
Get the list of events related to this resource via Events.list, including the ones that were cancelled (set showDeleted to true) to achieve that.
Check if there are any events whose scheduled time matches the time you want to look for (fields start and end).
If any of these events matches, you can calculate, for that event (and in case the event got cancelled and the resource is indeed free - event status is cancelled), the difference between current time and the time the event got cancelled (by checking the field updated).
I hope this is what you wanted.

See conversion rate of specific event in Analytics

Anytime a customer completes the payment of a order on our website, we send an analytics event with the following data:
Category: Order
Action: Status
Label: Complete
Now I want to see in what kind of rate sessions achieve this goal over time. I can't seem the find this view.
So that I can see for instance:
On 08/01/2017 31% of the sessions sent this event
On 08/02/2017 32% of the sessions sent this event
On 08/03/2017 30% of the sessions sent this event
etc.
How can I achieve this?
This is best done with a Goal; you can set the goal up to count Session where the event was triggered.
Unfortunately, this won't work retrospectively. If you want to do that, I recommend defining a Segment as 'Sessions which included Event X', and looking at the number of Sessions that that Segment has.
EDIT:
As pointed out by Eike, I should clarify that both of these methods would only count up to one event per Session. If you want to potentially count multiple events per Session, you'd need a different method.

How does Google analytics measures page load time for virtual pages sent?

I have bad performance results in Site Speed Page Timings in Google analytics, for virtualPage, but I can't find way, how does this time is measured (e. g. I do not see parameter in dataLayer object, responsible for timing, or parameter in collect request sent). Moreover I do not have such bad perfomance in action itself.
For example I send {"virtualPage":"newsletter/confirm"}, when check radio-button newsletter, and this action can't take 43 seconds.
If you have any idea, how to debug, please suggest.
Regards
You need to follow the steps in this tutorial and measure Adjusted Bounce Rate instead of regular bounce rate:
http://searchenginewatch.com/sew/how-to/2322974/how-to-implement-adjusted-bounce-rate-abr-via-google-tag-manager-tutorial
The idea is to implement a timing trigger for visitors (e.g. visitors who stay more than 30 seconds are no longer counted as a bounce and event listeners for clicks within the page)

Unique events are greater than total events

I'm having an issue with Unique Events and Total events. I don't really understand why unique events are greater than total events (image attached: https://analytics-a-googleproductforums-com.googlegroups.com/attach/584c3c65bd24cfec/Screenshot%20at%202013-05-14%2017:00:40.png?gda=9qkpgUYAAADqfLbDOUx1KZ9vP-6pB8mH0QevsNJBCwpb2zqmxh9R_FqJw8mf6kYUxitGhb4bDE5x40jamwa1UURqDcgHarKEE-Ea7GxYMt0t6nY0uV5FIQ&view=1&part=4).
Someone can explain how this is posible?
Santiago Vázquez
Found the thing: you will see that "Unique Events" are great than "Total Events" when you look at an event category or action, put "Event Label" as a secondary dimension and the event has been triggered some times with no label input. Google Analytics hasn't the option "(not set)" for this particular dimension, so it just doesn't show you those events in the Total Events Count, but still counts as "Unique Events" all the users that executed this particular event category / action.
I am seeing this same issue in my the first view of my Custom Report as well. I don't know WHY it is showing more, but there seems to be a more accurate Custom Report drilldown for you to use. In my reports, one page shows in my Page drilldown with 30 total events but 62 Unique Events. However, when I click into the next dimension drilldown view, in other words click to narrow in on just one page, it shows that same page with 30 total events and only 29 unique events. That seems more accurate.
My dimensions drilldowns for this custom report are "Page" and then "Event Label"
Hope this helps!
I think Google Analytics is simply buggy.
They have to work on event reporting a bit more.
We are tracking events and e-commerce data to our own database, and we realised that both Google Analitics and Universal Analitics misses some events and e-commerce data.
We are trying to find the reason for this, but no luck yet.
If you have a segment applied it's probably sampling. You can confirm or deny sampling is the cause by seeing if there is a yellow background note above the graph but below the date selection on the report page. There is also a grid of filled in and not filled in circles next to the new scholar cap (also below the date selection) sometimes.
Unique events are calculated by session, while total events are determined by the main dimension.
In the example report below, I wanted to look at how many events occurred on each page. The dimension drilldown is Page, with Total Events and Unique Events as metrics.
Users can visit a page, but not send an event by that page ( 0 total events ). However, if their session includes an event, then unique events will be 1 or more.
Custom reports allow data combinations that may not be clear (not sure if someone already posted this point or if I saw it in another thread). Basically, my report should not include Unique Events to prevent this problem from happening, though this was probably the wrong way to go about this altogether.
Template: https://www.google.com/analytics/web/template?uid=XafJ7KvSSf-n5KWWPyvn_g
Google has deprecated (renamed) Unique Events metric as it was seriously confusing. We are expecting to see a number of times event with unique combination of category / action and label happened per other dimensions in report. Instead GA calculated a unique combination of every dimension in the report!
Now, this metric is deprecated and renamed to legacy.
New one: Unique Events is giving expected results.
I written about why total events are higher than in my blog as too many questions.
Total Events are calculated as the total number of interactions with a tracked web page object. On the other hand, where a single user session (or visit) has one or more events, this is calculated as a single Visit w/Event, or Unique Event in the reports. For example, if one user clicks the same button on a video 5 times, the total number of events associated with the video is 5, and the number of unique events is 1.

How are dynamic segments in Google Analytics retroactive?

Are dynamic advanced segments retroactive at the session or visitor level? Can it retroactively recalculate session data or can it retroactively recalculate visitor data?
Here is an example as this is a foggy question.
Say I add an event tag to GA today. Tomorrow i run a report where the dynamic segment is for visitors who have triggered the event. The report requests unique visitors over time.
Now, if it is retroactive at the visitor level, the visitor is now tagged as having triggered the event. The report should show data going back in time (assuming these are not first time visitors). In this scenario GA will see if the visitors tagged arrived 2 days ago even though the events did not exist yet.
This answer no longer reflects up to date information.
Advanced Segments are not queried at the visitor level, and are thus not able to query data across sessions. They query particular sessions (or, visits), not visitors.
So, if you visit the site today, trigger an event, and then visit the site again tomorrow and don't trigger the event, an advanced segment for that event will be a query that says "Show me all sessions in which this event was trigger"; the former will be included and the latter excluded.
Similarly, if you do an advanced segment for a particular page, what you're saying is "Filter down to all the sessions in which this page was viewed" (this can be confusing for people who apply an advanced segment for a particular page, and the result contains more than just that page.)
However, they are dynamic and can be applied to the retroactively. In other words, the results of the advanced segmentation are not contingent on when the advanced segment itself was created. (This stands in contrasts to, say, account filters, that do not apply themselves retroactively.) They tend to be calculated on the fly; you'll notice that complex advanced segments can often take a long time to process, and tend to increase the likelihood that Google Analytics will return sampled (or, "fast access") data.
There is no way to use advanced segmentation to query across sessions.

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