For a client of ours, we're looking for a matrix from the Google Analytics reports that shows the best day and time with the most visitors on the website, measured by page views.
I've been inspired by SocialBro, which shows this awesome grid with dots indicating the best time to tweet, depending on how many of your followers are active at a given time.
Is it possible to generate such a view with Google Analytics custom reports?
Really looking forward to any suggestions!
Image attached with SocialBro layout.
You can get the hourly traffic breakdown from Twitter as a table easy enough example here. On the visualisation front, will have to be a case of roll-your-own.
Related
Our main challenge in Google Analytics at the time is to measure the success of our magazine articles.
The problem is that views grow over time so in any timeframe we always have the older articles overshadowing the newer ones. Sidenote: The same problem occurs for measuring social media post success.
My idea of a solution is to measure the rate by which views on articles grow. An article that has a higher growth of views is much more successful than an older article with more views, but with a lower growth rate.
Alternatively something like "views within the first week(s) of publishing this individual article" would also be a good metric.
Unfortunately to some extent also the growth rates rely on this publishing period of individual articles if we are interested in an eternal high score of articles. But since we are mainly interested in recent articles, growth rate would still give us the desired result of showing the most successful recent articles.
Has anyone dealt with the same challenges and found any solution to this, in best case with Google Analytics?
These examples may help, of which I have direct experience.
In the data layer we included a date of publication for the article and then used this to determine growth. This was taken from the CRM and was relatively straightforwards for the dev team. This was stored as a custom dimension in Google Analytics.
We had nothing in the data layer but instead a I just used the date on which page views started appearing as a proxy for date of publication. Not entirely reliable, and you may want to filter by views >5, or whatever is appropriate, to avoid any hits from editors or staff before a page is visible in the site navigation.
In both cases I was exporting data either to Google Sheets (using for example the Google Analytics API addon for sheets) or BigQuery, where it was relatively straight forwards to identify the first date and then calculate, for example, views per day. In your case it would be having a function which looks at the date of publication + 7 days. You may also be able to achieve this with Google Data Studio or similar dashboarding platform.
This seems really basic but i am struggling with it
We have a client who runs a travel website.
They have a few different search bars eg Flights, Hotels, Carhire.
I am trying to track the performance of each... "What % of people completed a sale that ran a Flight search." Same for Hotel, and for Car hire
Any ideas for the best way to get this info in GA?
Many thanks
There are a few ways to get this information, each with their pros and cons. The options that I see immediately available are segments and goals.
Segments are great because they are retrospective and generally more flexible, with the ability to be changed if you find your criteria isn't quite right. You create here, and specify sessions that go through search results pages etc:
Then you can create another segment for booking confirmation page, and any other intermediary steps that you'd like to report on. The main con of segments is that you can only pull in 4 at a time, but if you have more you can pull them 4 at a time and copy+paste the data into an excel sheet or google sheet. Segments can also be pulled via the Core Reporting Api and DataStudio which makes them great for automating into dashboards.
Goals are cool because they pull into the default reports, and basically track sessions through a particular page, event or sequence. The main con I see and the reason is that I don't use them is that they only start tracking fro mthe time you create them , and if you change the configuration it does not impact historical data, so your data can get messed up quickly if you don't have sandbox GA views or sandbox goals for your testing before putting it into a dedicated goal slot. You can also only have 10 or 20 goals depending on your plan, so once data is tracked against that goal you can't remove or clear it.
I made a report of access to custom users and only 25% of users appear, the other 75% I do not know what happened.
Are you using the free version of Google Analytics? If so, your data is likely getting sampled. Try reducing your date range to just a day or two and see if it shows 100% of users. You can also try simplifying your segment so that you are looking at fewer data points. Here are the Google docs explaining sampling.
Your report only matches a portion of your traffic. Maybe you have a report filter, or maybe you are using a segment. This can also happen if you are trying to use a metric/dimension that only a portion of your traffic has. eg: Trying to see users by EventCategory will only include the users that had at least one event, not necessarily the same as the total number of users on your site.
In Google analytics how can i get a metric to put "number of active users on website at any one time". I want to put it against past date periods.
I.E I was scrolling through the metrics, trying to add a widget to my dashboard but, I can't find this metric!
It looks like it's possible because google analytics uses it on their standard report, real-time, "current active visitors on website"
How can I achieve this?
Simply, you can't out of the box. There are some limitations in real-time reports and the ways GA counts unique visitors.
However, if you do not need a detailed analysis, this custom report might do the work (just import it for your Analytics Profile/View and click Customization tab). It basically shows the generic numbers (you can change them to fit your needs) according to hour of a day.
Add any secondary metrics to find out how numbers change in days/weekends etc. Or you can slice the data with segments and see if some traffic is more active in the morning etc.
Hope hits helps.
PS: Beware of data sampling...
I'm currently researching a solution to monitor the performance of specific sections of a page. For example, you have a simple page with 2 images with links to other pages. You are driving lots of traffic to this page and you are experimenting with different contents on that page.
6 months after, you want to see which section of the page performed better with what kind of specific imges.
Let's imagine you require a report that should tell you the following: on average, the first spot performs better, but last week the image was bad and that's why you had less conversion from that spot.
I'd like to use such a system on a high-traffic homepage of an eCommerce website, in order to better monitor the usage of the selling spots.
I was thinking to use Google Analytics events with a positioning scheme (splitting the website in columns and rows, giving to each cell an identification ID such as a1 for column a, row 1) and keeping a local datawarehouse of creatives (images, promotions etc.), but apparently, after 10.000.000 hits per month, Analytics is recommending the premium version which is quite pricey (12k USD per month, 1 year upfront payment).
I was thinking about PIWIK as an alternative, but there is no event tracking there - or am I missing anything?
Looking forward to hearing your input on this matter.
You're better off with a provider like Optimizely for this use case. Still gonna be expensive, but it'll more quickly get you the information you need to make decisions.
We normally use multi variation tests or A/B tests to measure the success of user interfaces. Google Analytics have this feature and it is free.
This links maybe useful
https://www.youtube.com/watch?v=yDWTMOC_Dp4
https://support.google.com/analytics/answer/1745147?hl=en