Dub Analytics Overview

Learn about how you can use Dub Analytics to better understand your audience.

Steven Tey

Written by Steven Tey

On any given day, Dub Analytics tracks upwards of 1 million click events, which translates to roughly 30 million events per month.

With the sheer volume of data that's tracked, it is important to be able to easily filter and create reports to help marketing teams make informed decisions.

In this guide, we'll walk you through how to use Dub Analytics to get the most out of your click events and engagement data.

Live Demo

To give you some context before we dive in, here's a live demo of Dub's Analytics dashboard:

View demo in browser ↗

Dub's Analytics dashboard

This public page was created using Dub's shareable link feature. You can create your own shareable link by following the steps in the Share your analytics guide.

Analytics Views

Dub's Analytics dashboard consists of several views:

  1. Time-series analytics chart
  2. Aggregated data for different facets (top views)
  3. Real-time events stream

1. Time-series analytics chart

This is the default view and shows you the number of click events over time.

Time-series line chart
Time-series line chart

2. Aggregated data for different facets (top views)

These are more commonly known as the "Top Views" in Dub Analytics. These views show you the top links, countries, cities, devices, and more.

3. Real-time events stream

Dub also offers a Real-time Events Stream view that shows you the events that are happening in real-time. These events are sorted by the time they occurred, so you can see the most recent events first.

The real-time events stream lives in your workspace's Events tab, but you can also access it via the View Events button in the Analytics tab:

When you click on the View Events button, the same filters you have applied in the Analytics tab are applied to the Events tab as well.

Date Range Picker

Dub Analytics comes with a powerful date range picker that allows you to select custom date ranges for your reports.

This is especially useful when you want to compare data over different time periods, or when you want to focus on a specific time frame that is not covered by the preset date ranges.

Pro-tip: You can use keyboard shortcuts to toggle between different preset date ranges:

  • D – Last 24 hours
  • W – Last 7 days
  • M – Last 30 days
  • T – Last 90 days
  • Y – Year to date
  • L – Last 12 months
  • A – All time

Filtering data

Dub's Analytics dashboard comes with a sleek and keyboard-friendly filter bar at the top of the dashboard that you can use to filter your data.

Here are some of the new filter facets you can use:

  • Domain – Filter by domain (e.g. dub.sh, git.new, spti.fi)
  • TagsFilter by tags (e.g. Social Media, Email Campaign, Blog Post)
  • TriggerFilter by event trigger (e.g. link click, QR code scan)
  • Device – Filter by device type (e.g. Mobile, Desktop, Tablet)
  • Continent – Filter by continent (e.g. North America, Europe, Asia)
  • Country – Filter by country (e.g. United States, India, Germany)
  • City – Filter by city (e.g. San Francisco, New York, London)
  • Browser – Filter by browser (e.g. Chrome, Safari, Firefox)
  • OS – Filter by operating system (e.g. iOS, Android, Windows)
  • Referrer – Filter by referrer (e.g. Direct, Google, Facebook)

Pro-tip: You can use the F keyboard shortcut to open up the filter bar.

Exporting your analytics data

You can also export your analytics data or events stream data to a CSV file at any time. This can be useful if you want to analyze the data in a business intelligence (BI) tool, share it with your team, or import it into a spreadsheet.

Bonus: "Ask AI" feature

You can also use the "Ask AI" feature to query your analytics with natural language.

For example, you can ask questions like:

  • "mobile chrome users US only"
  • "QR scans last quarter"
  • "UK android users"

And Dub AI will automatically select the right filters and generate a report for you.

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