Poool gives you access to a list of statistics specific to your media.
You can access this by going to your Dashboard, to the "Analysis" tab at the top left of your screen.
You'll find this screen:
Data filters
The filters are immediately visible and you can automatically compare your results over the previous period.
You will then have immediate access to the success rate for each of your widgets as well as the overall success rate.
The filters you can apply are:
By period
By context
By group (native segments or custom groups)
By scenario
💡 The tooltips will enable you to fully understand each data item proposed.
💡 The success rates per widget will be displayed according to the filters applied.
For example: if your scenario includes a Newsletter widget, this will be displayed first in the menu.
Please note that there is a one-day delay in reading the statistics, as the data is processed in the evening and sent in the morning.
KPIs presented
The data and graphs we provide will enable you to see how your performance is evolving on a daily, weekly and monthly basis.
The KPIs highlighted are Success, Clicks and Visibility of your walls.
What's more, you'll have access to the history of changes to your scenarios, so you can analyse the performance of your walls more easily.
Success
Corresponds to the number of actions carried out by users and resulting in an article being unblocked, compared with the total number of actions proposed to users.
Clicks
Corresponds to the rate of clicks on the buttons/links present in the widget.
NB: does not display the click rate for custom buttons present in advanced skins.
Exposure
The traffic rate shows the proportion of free/paid content visited compared with the total number of pages viewed.
NB: the data for this KPI will only be correct if the script is integrated on all pages.
The data relating to the visibility rate shows the Poool paywall impressions, i.e. the number of pages on which the user has scrolled and seen the paywall.
Tip - This figure may be low if :
The paywall is far down the page
The user is overly solicited between the article and the paywall
The value proposition of the blocked article is not strong enough
There are a lot of calls to action between the top of the page and the paywall
To go further in analysing your data, check out these articles:
You can find all our articles on statistics in the dedicated section of our Help Centre, 👉 here.
If you have any questions, don't hesitate to contact us via our chat!