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Monitoring & reporting

With Queue-it you get live analytics to understand how your waiting rooms are functioning, how visitors are behaving, and how the on-the-fly adjustments you make play out in real time.

These real-time analytics can be important in confirming your technical setup is sound and in facilitating any troubleshooting you might need to perform. You can also use these analytics to make business decisions while visitors are safely queued, and your backend is protected.

Queue-it gives you access to historical data that you can use to optimize waiting rooms for future sales and understand visitor traffic patterns. This data can help you understand how traffic inflow levels impact your web application so you can fine-tune performance in the future.


What analytics are available?

Queue-it offers you both real-time and historical data points to help your investigations and resolve the questions you need answered. Examples of data points include:

  • Traffic inflow & outflow
  • Wait time metrics
  • Abuse & fraud flags
  • Admin platform audit trail

In the “Data in Action” section below, you can see examples of Queue-it analytics and how you can apply the insights from waiting room data to your business objectives.

Where is the data available?

You can access this data in GO Queue-it, our web-based admin platform, or via our REST-based APIs, which accept both XML and JSON formatted data.

Introduction to tools

Queue-it monitor

The GO Platform Monitor is your go-to reporting overview for an active waiting room. Here you can quickly see the most important traffic and waiting room metrics.

There are two views: a Queue View, and a Diagnostics View.

From the Queue View, you can check:

  • traffic inflow
  • number of visitors in the waiting room
  • unused queue numbers
  • current expected wait time
  • total outflow from the waiting room
  • maximum outflow of visitors per minute.

From the Queue View you can also adjust on-the-fly how many visitors are redirected from the waiting room to your site.

GO Monitor view

From the Diagnostics View, you get additional data on user behavior to help you more quickly identify and troubleshoot any issues with a running waiting room.

Key waiting room data points—like fast re-enters or cancelled queue IDs—can help alert you to technical problems with the implementation of the virtual waiting room.

GO Queue-it Diagnostics view


Graphs are where you can look back at historical data to dive deep into specific metrics over a specified timeframe. You can customize graphs based on relevant parameters to give you the historical data you rely on when planning your next sale.

The extensive list of parameters includes everything from queue inflow to requests per minute to bot and abuse parameters like CAPTCHAs solved and Proof-of-Work challenges rejected.

GO Queue-it Graphs

Data export

With data export you can export a CSV file with extensive data that you can manipulate in Excel, Tableau, or your reporting tool of choice.

GO Queue-it Export

Change logs & notifications

The change log is an admin reporting tool that gives you an audit trail over all changes that take place within the admin system, providing crucial transparency. Examples of what you can see in the audit trail include changes to queue speed, updates to a custom layout, generation of a shareable link, and timestamps of user access.

To stay up to date on the most important updates, you can notify designated user groups by email of any waiting room alerts or account changes.

GO Queue-it Change Log

Data in action

Below are some examples of technical questions that Queue-it’s reporting tools can help answer.

Capacity planning

If you need to correctly understand your capacity for an upcoming sale or registration, you can use Queue-it’s historical graphs and data exports.

You can use historical graphs to see what inflow was in previous years’ sales, and how that translated into number of visitors in line. Exports can get you similar information in more granular detail.

You can also cross-reference this data with your application performance monitoring data to see how traffic levels impacted your web application’s performance.

The video below shows how you can use the Graphs tool to prepare for future sales or registrations. Graphs is highly customizable, which you can see by selecting the data set, data metric, and how the data is visualized. In this case, the administrator compares how traffic inflow translates into visitors in queue.

Queue-it capacity planning tutorial
Queue-it capacity planning tutorial

Malicious/fradulent traffic

If you’d like to investigate the extent of your malicious traffic and bad bot problem, you can use Queue-it’s historical graphs or data exports.

Graphs can show you signs of bot traffic, like failed CAPTCHAs or Proof-of-Work challenges. Event data exports can also give you granular detail like User Agents and traffic sources, as well as counts of IP addresses per redirect.

The video below shows how you can use the Graphs tool identify timeframes where security tests are failed at high rates. In this case, it is Queue-it’s custom key feature, which uses unique identifiers like a user ID, membership number, or promo code to limit who can enter the waiting room. By comparing the distribution of custom key tests with successful tests, it is evident there are three spikes in bot traffic in this example. You can then narrow in on these timeframes and investigate together with your bot management tools to identify the attack vectors used and prepare for your next sale or registration.

To learn more about Queue-it's custom key feature, read our product update.

Queue-it blocking malicious traffic video tutorial
Queue-it blocking malicious traffic video tutorial

Integrated data analysis

If you’d like to integrate waiting room insights into your internal reporting dashboards, you can use Queue-it’s data exports and Queue-it’s API.

With exports, you can take a CSV file and upload it into your data tool of choice.

You can also leverage one of our APIs to create a digital feed of queue statistics into your tool.

The below demo shows the steps to generate images of Graphs for export, CSV exports, and API setup.

For more information on the API, visit the Queue-it API page.

Queue-it data analysis video tutorial
Queue-it data analysis video tutorial

Shared data visualization

If you’d like to share high-level or time series metrics with key stakeholders in a simple, visually-appealing way, you can use Queue-it’s secure sharing feature.

Secure sharing lets you share the waiting room monitor with key stakeholders, without the hassle of creating a user account in GO, or counting towards your max number of admin accounts

Sharing is secure because you can always revoke the link, and see an overview of all functioning links, which we’ll see in the demo.

To learn more about Queue-it's secure sharing feature, read our product update.

Queue-it shared data visualization tutorial
Queue-it shared data visualization tutorial

Looking to expand your technical understanding of Queue-it?