Use the Story dashboard to find out more about one of your Stories, such as number of reads, shares and sign-ups.
Accessing the Story dashboard
Navigate to the main Story listing page and use the options menu for your Story to select Analytics.
Use the filters at the top of the page to filter your analytics by;
- UTM Tags (if you used them)
The overview provides the headline metrics for your Story such as reads, readers, shares and average read time. A line graph of reads and a bar chart of leads over time provides you with a visual aid to see how your Story is performing, hover over the graph to view metrics for specific dates. You can learn more about what these metrics mean in our metrics guide here.
Reads by source, device and location
This section allows you to see how your readers are accessing your Story for the filter that you applied at the top of the page, for example you might want to see
Source: See how people opened your content. Did they click a link on a Story link direct (for example from an email) or did they come from your website, or a social network. Using this data can help you decide where to promote your Story to gain more readers.
Device: See what devices people are using to read your Story. This is split between desktop, mobile and tablet. It can be interesting to use the filters at the top of the page to see if this impacts the device type the readers use. For example, use the Source filter to find out if readers who opened the Story from your website are mostly using desktop and if readers from a social network are using a mobile?
Location: See where your readers are located physically - perhaps you're targeting a particular market and would like to see if your content is starting to make an impact.
Here you can find out the detail of your chapters. Which are working well, and which might need some improvement. The table provides you with a list of each of the surf page headings and the following chapter data for each;
- Reads: number of reads of the surf page
- Sign-ups: number of sign-ups generated from that chapter (you will only see sign-ups from chapters other than the back page if you gated your content)
- Shares: shares generated from that chapter via immerse widgets or from the top of the surf page (tip: hover over the shares with your mouse to see where the shares were made)
- Avg: Surf Time: on Average, how long did the readers spend on the surf page before taking an action. Tip: these should be as short as possible, showing your headings are easy to read which allows your readers to move quickly though your surf pages to find a chapter they want to read.
- Conversion: the percentage of readers from the surf page who clicked into the immerse level
- Avg. Immerse Time: On average how long your readers spent within the immerse section for that chapter.
Use the data in this section to understand how your readers are interacting with the various elements within your content. For example see how many times an image has been clicked, a URL has been clicked or a video has been watched.
- Polls - hover over the "Results" button to view the results of your poll. You can also see how many people have answered under "clicks" and the number of times the poll was shared on social media under the "shares" column.
- Quotes - see how many social shares happened for each quote and hover over the share number to find out which social media sites were used
- Links - how many clicks on URL links
- Videos - number of views and average view time
- Images - number of views and average view time
Tip: make sure you label your immerse widgets so you can identify them easily within the analytics.
Sign-ups are generated by using either the lead capture form on the back cover of your story or by using the immerse level blockers:
If you do not use either of these you will not capture any sign-ups.
Reader profiles are only applicable for stories that use individualised analytics - for further information on individualised analytics please contact your account manager.
Downloading your analytics
You can download each section of your analytics to a csv file using the download buttons on the top left of the section.