In Google Analytics you have the possibility to evaluate your slider with the help of events. This way you can see how the users on your slider behave.
Here we give you a short intro about which settings you can use for this.
In this article you will learn how to activate events: Tracking Settings
An introduction to the Tag Manager can be found here: Tag Manager Help
Learn how to integrate Google Tag Manager and Analytics here: Integrate Google Tag Manager and Analytics
- Google Tag Manager Account
- Analytics Account
You can select which events should be sent from your slider in the “Tracking (sub&track) Module” under Events.
We will now focus on the Slide ID, because this is the best way to find out what the question is. In grey, below the activation, you can see that the sent event will always be called “slide-[id]-entered” and the “[id]” area will be replaced by your corresponding slide-ID. We will need this later when filtering the events.
If another event fits better for your Use Case, just activate it. You can also send multiple events and filter them in Analytics.
2. Collect user data
Now you need to let your slider run for a while and send users to it, who click through your questionnaire and trigger events. Only when you have data, you can evaluate it.
4. Filter events
First select your event category “formslider” in which the events of your slider are displayed.
Note that an event is sent as soon as a user lands on the individual slide.
5. Filter from multiple events
If you have set in the “Tracking (sub&track)” module that, for example, all events (recommended by us) are sent, you have to filter further for evaluation.
To do this, enter “slide-id” in the search bar on the top right above your events, as in this case, so that all events of type Slide-ID are filtered.
6. Evaluate the results
From the list of events, you can now see how the user behaves on your slider and whether he jumps off particularly often in a slide, for example.
This could be an indication that your question is perhaps too complicated, too difficult to answer or is not relevant for the user.
If you have found a potential improvement of your slider, you can do an A/B test as a next step and test your slider against a new version of it and see if the values have improved.
In this article you will find more information about A/B testing in the Google environment.