Event Stats in Lantern Events offers an in-depth look at user interactions with your quizzes, allowing you to track the frequency and timing of specific events. This powerful analytics panel helps you understand user behavior patterns and optimize your quizzes based on real data. Here’s how to navigate and utilize the Event Stats feature effectively.
Navigating to Event Stats
To access Event Stats, log into your Lantern dashboard and head over to the Advanced Analytics tab on the main left-hand side menu. On the 'Lantern Events' panel, click on Explore Events. Once redirected, you’ll see the Event Stats panel in the top left hand corner.
Understanding the Event Stats Interface
The Event Stats panel is designed to give you a clear visualization of quiz interactions over selectable time frames. Here’s what you can expect from the interface:
Event Selection: At the top of the panel, you can select specific quizzes to analyze. Once a quiz is selected, you can choose individual events such as including page loads, answer submissions, and quiz completions.
Time Frame Adjustment: You can adjust the time frame to view daily, weekly, or monthly data.
Graphical Display: The interface displays data in an easy-to-read graph that plots the frequency of selected events over the chosen time period. Hover over any point in the graph to see detailed numbers for specific dates or times.
For example, if you select the quiz titled "Find your perfect pet food - LIVE", and choose to analyze the "Page Load" event over a month, you will see a graph showing the daily count of how many times the welcome page was loaded. This helps you to visually track peak days and potentially correlate them with external factors like marketing campaigns or social media traffic, providing actionable insights to optimize future quiz engagement strategies.
Utilizing Event Stats for Quiz Optimization
Utilizing Event Stats effectively allows you to refine your quizzes for better engagement and performance. By analyzing the frequency and patterns of events like quiz starts, answer submissions, and completions, you can identify trends and anomalies in user behavior. Adjustments based on this data can lead to a more streamlined and engaging user experience, ultimately driving higher-quality interactions within your quizzes.