This deep-dive article covers the tag-based metrics available in the Empower Analytics Dashboard. If you are looking for high-level details and do not wish to get into the detailed information provided here, please visit the Empower Analytics Dashboard Overview.
The Tags tab offers insights into visitor interactions with content tagged throughout your venue. It focuses on understanding what topics or themes engage visitors the most by analyzing the popularity of Tag Detail Screens, how visitors access them, and what they search for in the PWA or venue. Each metric is detailed with definitions, context, examples, and guidance on how these insights can help shape your content and engagement strategies.
Reminder: Each of the metrics available on the Overview tab can be filtered by Date range with the Default set to Last 7 days.
Metrics Available
Total Tag Views
Definition: The total number of times all Tag detail pages were viewed within the PWA, including repeated views by the same user. This total reflects the filters applied by the operator when viewing the dashboard.
Context: This metric is represented as a single number that captures how frequently visitors engage with Tag detail pages in the app, regardless of whether the same tag is viewed multiple times by the same visitor. It offers a comprehensive view of total tag-related engagement within the selected filters.
Example: If Visitor 1 views Tag A three times, Tag B twice, and Tag C once, while Visitor 2 views Tag A twice, Tag B once, and Tag C three times, the Total Tag Views would be calculated by summing all these views: (3 + 2 + 1 + 2 + 1 + 3), resulting in 12 views.
How it is Useful: This metric provides a cumulative total of all Tag page views, serving as a broad indicator of visitor interest in the tagged content. Trends in this data can highlight shifts in visitor engagement. A rise in total views may indicate increased interest in specific themes or topics, while a decline could suggest a need to refresh tag-related content or adjust marketing strategies.
Total Estimated Unique Users
Definition: The estimated total number of unique visitors who viewed any Tag detail page in the PWA, based on the date filter applied. Repeated views by the same user across different tags are counted as one unique visitor.
Context: This metric reflects the number of distinct visitors engaging with Tag detail pages across the PWA within the specific date range set by the operator. Unlike Total Tag Views, which counts every interaction, this metric focuses solely on unique users, providing insight into the breadth of engagement across all Tags.
Example: If Visitor A views 4 different Tag detail pages and Visitor B views 3 Tag detail pages multiple times during the filtered time period, the Total Estimated Unique Users will count them as 2 unique users, despite multiple views across different Tags.
How it is Useful: This metric helps gauge the total reach of Tag engagement by focusing on unique visitors within the date range applied. It provides a clearer picture of how many distinct visitors are interacting with Tags, offering valuable insights into which themes or topics are resonating with a wide audience. This data can guide decisions on content promotion, tag relevance, or broader marketing strategies that align with visitor engagement trends in the filtered data.
Most Viewed Tags (Top Ten)
Definition: A bar chart that showcases the ten most viewed Tag detail pages within the selected date range. The chart is based on total views, meaning each time a visitor views a tag detail page, even if they return to the same page multiple times, every view is counted.
Context: This chart ranks the ten most popular tags based on the number of times their detail pages were viewed. It helps operators quickly identify the tags that attracted the most attention during the specified time period.
Example: The chart could show Tag A with 300 views at the top, followed by Tag B with 250 views, and so on, down to Tag J with fewer views. This descending order allows operators to quickly identify which tags were the most popular and how they compare to others in terms of visitor interaction.
How It’s Useful: This metric allows operators to focus on the top-performing tags, making it easier to identify which themes are generating the most engagement. By understanding which tags attract the most attention, operators can refine their content strategy, allocate resources more effectively, and even create special exhibits or interactive experiences around high-interest topics. It also provides insights into shifts in visitor preferences, helping operators adjust marketing efforts and exhibit layouts accordingly. Additionally, popular tags present opportunities for cross-promotion, allowing operators to highlight related exhibits, events, or programs both in the app and at the venue.
Tag Views by Source
Definition: A pie chart that provides a detailed breakdown of how visitors accessed Tag detail pages within the app, represented as percentages. The center of the pie chart displays the total number of tag page views, and when you hover over any slice, you can see the number of views attributed to each specific source. The sources are categorized as follows:
Search: When a visitor finds a tag by using the search function.
Scan: When a visitor uses a QR code or NFC tag to access a tag.
Object: When a tag is accessed from the tag list on an object’s detail page.
Home: When a tag is accessed from the featured tag section on the Home page.
Tags: When a visitor uses the “All Themes” button to view a list of all available tags.
Direct: When the Tag page is accessed directly after onboarding, indicating the visitor entered the URL for the Tag itself.
Other: Includes any other access methods not fitting the above categories.
Context: This metric highlights how visitors navigate to Tag detail pages, showing the most popular entry points for discovering tags. It provides a clear picture of visitor behavior when interacting with tags across different access methods.
Example: Suppose tag detail pages have a total of 500 views. Of these, 45% come from visitors searching for tags, 30% from scanning QR codes, and 15% from accessing tags through object detail pages. The largest slice in the pie chart would represent Search, followed by Scan and Object. This visualization shows the primary ways visitors interact with tag content.
How it’s Useful: This metric helps operators understand which methods visitors use most to engage with tag content. For example, if QR code scans dominate the access sources, operators might consider increasing the visibility or use of QR codes. On the other hand, if searches account for a large percentage of views, improving tag-related search terms or refining tag themes might enhance discoverability. By analyzing these access patterns, operators can tailor tag promotion and optimize content placement strategies.
Tag Views by Name
Definition: A ranked table displaying the popularity of Tag detail pages based on total and unique views, as well as how visitors accessed each tag. The table includes sortable columns for Total Views, Unique Views, and view sources such as Search, Scan (QR/NFC), Object, Home, All Themes, and Other. Each metric and view source is detailed in the sections above.
Context: This metric provides a detailed breakdown of Tag popularity and access patterns. Each row represents a specific tag, with sortable columns displaying total views, unique views, and how visitors accessed the tag. Operators can sort the table to easily analyze trends and determine how visitors are discovering and interacting with different tags. Note that only six tags are shown at a time; use the arrow buttons to navigate through the full list.
Example: The table is ranked by total views by default. For example, Tag A might be ranked first with 500 total views and 350 unique views, with 200 views from scans, 100 from objects, and 150 from searches. Tag B, ranked second, could have 400 total views and 380 unique views, mostly from searches and scans. While Tag A has more total views, sorting the table by unique views would move Tag B to the top, as it has more unique visitors. This helps operators identify the most-viewed tags and those with more unique visitor engagement.
How it’s Useful: This metric helps operators identify which tags are the most popular and how visitors are finding them. By analyzing the breakdown of views by source, operators can see which discovery methods are most effective. If scans drive many views, operators might expand QR code usage, while many search-based views might indicate the importance of tag naming and relevance. Additionally, comparing total views with unique views allows operators to see which tags attract repeat visitors, helping to prioritize or adjust content strategies accordingly. This insight can also guide decisions on tag promotion or which themes to emphasize in marketing efforts.
If you have any questions or need assistance with understanding the metrics on the Tags tab or the Empower Analytics Dashboard, feel free to reach out to the Pladia Customer Success Team. We're here to help you make the most of your data and provide any additional guidance you might need to optimize your app's performance and enhance visitor engagement.