I'm seeing lots of traffic in the source / medium report showing direct / organic.
My searching isn't turning up any answers as to how that's possible, given that direct means Google Google can't discern the source, how do they know it was organic?
From your screenshot I see another strange source / medium as well direct / organic that is organic / facebook, however since there are many custom source / medium I believe that it inserted with an UTM, like this:
yourdomain.com?utm_source=direct&utm_medium=organic
Check if you have a campaign name with second dimensions in the report. However it is it is likely that there is a link with those parameters that sends to your site.
Related
I'm trying to find a way to track "paid traffic" from Youtube, ie. people who click on one of our ads, got redirected to one of our videos, then clicked on a link in the comment section. At the moment everybody coming from Youtube appears under the Youtube channel in our analytics.
Yet, inside Youtube Analytics, I can see that 90% of people watching specific videos come from paid traffic.
I tried to see if I could get any possible information from the youtube APIs but it looks like nothing is useful, event to determine how could be the split between paid/unpaid traffic.
Also, impossible to find a split by video.. except in GA. Therefore, no possible link?!
1/ Is it possible to link paid traffic internal to Youtube and part of the "youtube" channel traffic in GA? data-wise or just mathematically?
2/ Is there a way to hadve an idea or approximate the convertion rate?
PS: I know this should not be seen a pure conversion channel*
To answer your questions:
1. Is it possible to link paid traffic internal to YouTube and part of the "YouTube" channel traffic in Google Analytics? data-wise or just mathematically?
As far as I know, yes it is possible. In fact, there's no better way to analyze your new brand channel layout than integrating it with Google Analytics. Reasons as given:
The main difference between YouTube analytics and Google Analytics is that the former provides data about the videos, while the latter provide data about the visitors of the channel’s pages.
To use this feature, please refer to the steps given in How to integrate your YouTube One brand channel with Google Analytics
2. Is there a way to have an idea or approximate the conversion rate?
I tried looking for documentation on conversion rate but it seems that this doesn't exist as also mentioned in Conversion rate between YouTube views and track sales
And, as suggested in Google AdWords Help, in tracking viewer conversions for video ads,
Since video advertising doesn’t always drive immediate conversions, we recommend that you look at view-through conversion data, which shows the number of online conversions that happened within 30 days after a viewer saw, but did not click, your video ad.
I hope that helps.
We have Google Analytics on our site. This site also uses Google Tag Manager (unsure whether this is causing the issue or not).
The issue is that within Google Developer on the Network tab it looks like Google Analytics is being called three times, therefore messing up the actual analytics side.
I have searched the web for this issue but most put it down to the page refreshes etc. This is not the case with ours. This happens when it is first loaded.
Each URL is different slightly. I looked through the site code hoping to find duplicate data (script for Google Analytics), sadly I haven’t. Neither have a found duplication when I 'View Source'.
At this moment in time I am puzzled as to why this is happening.
I have noted the parameters are slightly different between the three, I am thinking this is why it looks like its being called three times, why would it do this?
DP: Document location URL (The call which doesn't contain GTM, contains this)
GTM: Google Tag Manager (Two of the three
have this in the third doesn't)
CD1: ? (The call which doesn't contain GTM, contains this)
Z: Cache
Any ideas will be greatly appreciated.
Thanks,
Clare
Most definitely possible that GA and GTM both sending page views. If you are using GTM then you should remove ALL GA code from your pages as GTM replaces all GA.
I'm not a really advanced Analytics user, so I've been trying to Google this, but haven't come up with a great answer. My analytics says 95% of my site visits to my blog today have come from site38.social-buttons.com and yesterday it was another subdomain of the same site. I visited social-buttons.com, but am unfamiliar with it, and have never deliberately put that code into my Wordpress site. I do have some plug-ins installed, which are "Subscribe / Connect / Follow Widget", which displays my social media links, and also "Really simple Facebook Twitter share buttons", which puts the like links on my posts.
My questions are, how are people finding my site through social-buttons.com? And are these quality hits?
Thanks, I appreciate any info!
This kind of visits are called Ghost Referrer Spam since they never reach your site. They use a GA weakness to make a fake visit and get a record in your data.
They do it to get traffic, people get curious to see who is visiting them and click on the link.
This specific Referrer Spam is nasty because it make multiple visits at the same time, is related to the number of the subdomain so if it says site38... it hits with 38 visits, I've also have many of these, here is a screenshot I took:
In my case is a different simple-share-buttons.com but is the same thing.
The easiest way to stop it is by making a filter for each spammer in your GA. Check this article to find more detailed information http://www.ohow.co/block-social-buttons-simple-share-buttons-referral/
As an alternative, you can make a more general filter to take care once and for all of all the Spammers by making a list of Valid Hostnames, this is more advanced and you have to be more careful. You can find more information about this solution here https://stackoverflow.com/a/28354319/3197362
It's actually referral spam. Take a look at this https://www.mooresoftwareservices.com/Web-Commerce/social-buttons-com-referrer-spam
So unfortunately they are not good quality hits.
Not specifically a programming question, unfortunately, but I am trying to develop some custom reports using the Google Analytics Core Reporting API (v3) and I'm stuck on how to interpret these referrers (in ga:referralPath or document.referrer) from Google News sites:
/nwshp
/news/rtc
/news/url
/
/news/story
/news/i
... and so on. These are all coming from Google News sites (.com .whatever) obviously, but I'd like to categorize them with more granularity if possible, e.g., Google News front page, etc.
Many thanks in advance (and feel free to point me to a better place to ask, if such a place exists).
According to Chris Boutet, these represent Google News Home page (/nwshp) and Google News Realtime Coverage (/rtc). That's the answer I was looking for. Hope that helps.
I'm working on a google analytics dashboard for a CMS I've created. I'm trying to decide exactly what information to display to the user. So what information would you want to see at a glance (when you first log in) and what information would you want access to, but don't need to see every time you log in?
Do you have a customer? You might want to ask them.
The time spent on page is the most valuable. You can see what pages result in reading and which pages are ignored.
The referrers and keywords is the next most valuable, because that tells you if your promotions are working or not, if you are getting the right audience.
Google analytics has some integration with adwords' analytics and that is on my periodid checklist as well.
Everything else depends on if you have a specific question in mind, like is it safe to start ignoring MSIE6 users, are there enough users of Opera visiting to care how things render for Opera, do I need to pay attention to international readers and add internationalization features to my website, etc.
A:
Visits count (today, yesterday, this week, this month);
Page views, references, adwords effect;
B:
Bounce rate, effective keywords, browsers usage (in %)... stuff like that.
Sometimes, it's all about the $$.
The Adsense revenue for different pages and for different keywords.