Measurements
Measurement and Analytic modules are introduced into the LV platform, allowing users to access the metrics for their given experiences. This also comes with new access control, to ensure that only experience(s) associated with the relevant account is presented to the user.
This module enables users to collect data on the activities in their experiences, including usage statistics, user engagement, and performance metrics. With real-time data, you'll have the information you need to make informed decisions and optimize your metaverse experience.
Landvault provides a special solution that can be used to track data from different experiences in different metaverses. Its integration is implemented through the prepared by us script that can be integrated into the experience and fire trackers automatically or through our API. In order to get started with this module, you have to reach our team through the Contact form and we'll assist you further.
Metrics are pivotal in helping brands and organizations make data-driven decisions as they build, measure, and monetize metaverse experiences. Each of the described metrics offers valuable insights into user behavior, engagement, and the overall effectiveness of the metaverse activation. Our platform helps you track and monitor across your metaverse experiences.
Shows the Total number of unique visitors per specified period. New Users that visited the experience for the first time and Returning Users represent all old users who come to visit the experience again in the specified time.
This metric indicates the reach and popularity of your metaverse experience. A higher number of unique visitors signifies greater brand exposure and awareness, while analyzing the ratio of new to returning users can help gauge user retention and brand loyalty.
Shows the total amount of sessions started in the experience.
Tracking the total number of sessions started provides insights into user engagement and can help identify patterns of usage. This information can be used to optimize the experience, ensuring higher user satisfaction and improved ROI.
Collects and calculates the average time of all users connected to the experience.
By measuring the average time users spend in your metaverse experience, you can assess the effectiveness of your content and design, and make adjustments to increase user engagement and satisfaction.
Shows which hours have the biggest amount of visitors in your experience.
This metric can help identify peak hours and patterns in user behavior, enabling you to make informed decisions about resource allocation, live events, or promotional activities.
If you want to track clicks on objects in your scene, you can send click events. LandVault will process the data and present it in your reports.
If you are interested in tracking users' gazes, you can send gaze events to our APIs. Using our services, you can track hot objects in your experience and measure user gaze times
Shows the percentage of users who signed up with a wallet or as guests.
Understanding the proportion of wallet users and guest users can help tailor your metaverse experience to cater to different user segments, enhancing their experience and increasing the likelihood of conversion.
The movement panel provides minute-by-minute user movement data within the experience for a selected date.
This offers a granular view of how users navigate and interact with the metaverse environment. This metric can help organizations better understand user behavior patterns, identify bottlenecks, or uncover areas where users may be experiencing difficulties. Such insights can inform decisions around spatial design, user interface improvements, and the overall user experience, ultimately leading to increased user satisfaction and engagement.
Shows the hottest places on the experience map where players spend most of their time.
By identifying the hottest places on the experience map where players spend most of their time, the dwell metric provides valuable insights into which areas or elements of the metaverse experience are the most engaging or compelling. This information can guide organizations in making informed decisions on where to focus their marketing efforts or improve the content to attract more users and drive engagement.
Shows the most visited places by number of users as a heatmap.
The metric reveals the most visited places by the number of users, allowing organizations to gauge the popularity of different areas within the metaverse experience. This information can be useful for identifying potential high-traffic locations for advertising, promoting products or services, or hosting virtual events. It can also help determine which aspects of the metaverse activation resonate with users and which need improvement.
Shows places where users left the experience.
The dropout metric highlights places where users left the experience, which can indicate potential pain points or areas of disinterest. Through careful analysis of this data, organizations can pinpoint areas that may require improvement to increase user retention. This may involve refining the user experience, resolving technical issues, or reevaluating content and design elements to better align with their target audience's preferences.
Shows metrics on NFT claims within the experience.
The NFT metrics track the associated contract address and provide metrics on the number of claimed NFTs and the conversion rate. Additionally, the delta of the previous date range is highlighted in the percentage values.
These metrics are an excellent tool for tracking how many users completed the tasks to claim the NFTs and the timelines of when the claims were made.
Highlights top users by engagement within the experience.
This information is valuable for brands as it can allow hyper-personalized targeting of the most engaged users. People who’ve spent more time and resources in the experience are likely to be more invested and thus respond better to continued marketing efforts.
In summary, these metrics offer invaluable insights that empower brands and organizations to comprehend user behavior, optimize their experiences, and maximize their return on investment.
Last modified 7mo ago