View results
To view the results from your survey, you go either to the overview under “Data sources”, and select “Browse results” from the analytics module…
…or you go directly to “Analytics”.
In this chapter, we’ll go through the content in analytics, viewing the charts, selecting date range, and lastly how to create segments.
Analytics content
As you can see from the sidebar menu, there is a lot of analytics data available. In this onboarding, we’ll show you were to find the data we think you’ll use the most, but there is even more to discover for yourself.
Dashboard
The dashboard is an overview of your data, and it contains widgets. The default dashboard contains widgets such as Pages, Visits overview, and Channel types.
However, you are able to adapt the dashboard to better suit your needs and the information you are most interested in. To edit the dashboard, you click on “Dashboard” at the top of the page and select which widgets you want.
By hovering over a widget, you can see which charts are available and get a preview.
With your widgets selected you can also change the layout for your dashboard.
At the bottom of the list is the option to create a new dashboard.
Currently, the dashboards are not unique to each user, but instead to your account. That means that any changes you make to a dashboard will be visible to all other users in your account too. Therefore, you should create a new dashboard if you want it to be personalized.
Create a new dashboard
When you create a new dashboard, you should give it a descriptive name. If it’s for your department, the name should reflect that. If it’s your own personal dashboard, add your name in the description. That will make it a lot easier, both for yourself and your colleagues, when the list of dashboards is getting long.
Next, select if you want to start with the default widgets or with an empty dashboard. For minor changes, it’s easier to start with the default widgets.
When you create new dashboards, they will be added to the list in the sidebar menu.
Visitors
Under “Visitors”, you find information such as overview…
…locations…
…devices…
…and visits log.
The visits log is an opportunity to track individual visitors, and for more information about how to use the visits log, you can check out this article.
Behavior
Under “Behavior”, you find information such as page views…
…including for entries and exits…
…site search…
…and user flows.
Acquisition
Under “Acquisition”, you find information such as overview…
…channels…
…campaigns…
…and campaign URL builder.
Goals & Funnels
Under “Goals & Funnels”, you can view the goals and funnels you have set up.
However, to edit or create new, you go to “Settings/Goals”.
Other
Apart from the information listed above, you can also find the categories Forms, Media, Custom reports, Crashes, and Broken links.
Viewing analytics data
There is more to the analytics data than just the initial chart or table. Let’s use the table for page views as an example.
The first column is the Page URL, and here you’ll find the pages grouped by URL. To see the subpages, you click on the plus sign before the URL.
The other columns are information about these URLs, such as views, bounce rate, and average time on the page.
The difference between “Pageviews” and “Unique pageviews” is that the unique views will only count 1 view per visit, regardless of how many times the visitors returned to the same page.
For each column, you are also able to sort the data. The default is to sort by pageviews, but you can also sort by bounce rate, for example, if you’d prefer.
If you hover over the pageviews or unique page views, you will also get the percentage based on total views for the selected date range.
Additionally, when hovering over the URL, you also get the options: Open segmented visits log, Open page performance report, and Open row evolution.
These options make it easier for you to analyze deeper.
At the bottom of the table, there are a few more options. To the right, you decide how many rows you want your table to display.
To the left you can search and export…
…but also change visualization…
…as well as a few more settings under the cogwheel.
Date range
In the top right corner, you can see the date range for the results you are viewing.
To change the date, click on that box. You now have some options. Start by selecting a period.
Then use the calendar to select the day, month, date range, etc, that you want to look at.
You can also compare your data, and you have three different options.
If you selected July as your main date range, the previous period will be June, the previous year is July the year before, and custom is whatever you want it to be.
Once you’re done, apply the settings.
Analytics segments
An easy way to analyze your data deeper is to create segments. By creating segments, you select a smaller part of the data. Examples of segments are: Visitors using mobile device, UK visitors, Visitors that view a specific page, and Visitors that came from a certain campaign.
You are also able to narrow down the segments further. For example, you can create a segment for Visitors that came from a certain campaign that were also using mobile device and visiting from the UK.
You find your segment in the top right corner, next to the date range.
Click on the box to select or create a new segment.
In this example, there are two kinds of segments. Analytics segments (based on only analytics data)…
…and survey segments (based on generally survey responses).
We will explain the survey segments in part 6 – Combining modules. For now, let’s look at how to create more analytics segments.
Click on “Add a new segment” and give the segment a name. It should reflect the settings.
For example, if the segment is visitors from the UK, the name can be “UK visitors”. That will make it easier to use the segment later.
Next, select type of data…
…rule…
…and value.
To create the example from above, the segment is Country (under Visitor location), Is, and United Kingdom.
You can also add more conditions, with either “And” or “Or”.
“And” means that the data needs to fulfill both requirements. “Or” means that the data needs to fulfill either of the requirements.
However, avoid making very complex segments as they can exclude too much data, and it will be more difficult for you to find the cause of the results. If you want to narrow down the data further, it’s better to use funnels, which will show where the drop-off is.
Once you have your settings for the segment, save and apply. You now have one more segment to choose from in the list.
To view just one segment, click on the name.
To compare another segment to the one you are currently viewing, click on the inverted box.
This will allow you to view several segments at once.
If you want to edit one of your existing segments, click on the pen icon.
Now that you know how to view your analytics data, let’s move on to heatmaps and session recordings. However, if you are not planning to use that at the moment, you can skip ahead to surveys, or how to combine our three modules.
If not, let’s move on to heatmaps and session recordings.
