Data Explorer Guide

Getting Started with the Data Explorer UI

This guide covers:

Analyze Your Data Using the Data Explorer

Step 1: Log into your Keen account, select your Project

Open the “Streams” tab, and select the Event Collection you’d like to check out. In this example we’re looking at the SendGrid Email Events data collection.

Keen Streams Manager - SendGrid Email Events

Step 2: Run some basic queries

Open the “Explorer” tab.

Enter count as the “Analysis Type”, select SendGrid Email Events as your “Collection Name”, and press “Run Query”. You ran a query!

Explorer to Run Query

The type of analysis you can do is vast, here’s a link to read up on what those are. Adding an “Interval” will give you a line graph over time, you can “Group By” properties to view results categorically, and you can add “Filters” to refine the scope of your query.

Save Your Query & Make Your First Dashboard

Step 1: Let’s save your first query

Save Your Query

Step 2: Add your graph to a dashboard. Select “Create Dashboard”, name your dashboard, and add the query we saved to the first tile. Then click “Save”.

Add Query to Dashboard

Congratulations! You’ve created your first dashboard!

Now start digging into your data and creating more custom analyses & visualizations.

Doing Drilldowns and Reporting on Your Data


Select_Unique allows you extract many properties from a single field and filter on a specific segment of users based on any number of fields such as campaigns, clicks, and companyID.

Return a list of unique property values for a single “Target Property”, among all events matching given criteria. You can download the results as a .CSV.

Some example uses for this analysis type:

  • List all of the email addresses for people who clicked a certain URL
  • List all of the users who performed an action
  • List all of the email addresses for a specific company

Download Select Unique Results to CSV


The Extraction feature returns full-form event data with all property values. We strongly believe you should always have full access to all of your data, and we aim to make that as simple and painless as possible.

You can do all the things you can do with Select_Unique, but we will return you with more data.


Returns the number of unique actors that successfully (or unsuccessfully) make it through a series of steps. “Actors” could mean email addresses, campaigns, or any other identifiers that are meaningful to you.

Actors will fall off at each step, to varying degrees, so a funnel analysis reveals where a given flow loses the most users.

For example, a funnel could include these steps:

  1. Users who downloaded your app
  2. launched your product
  3. Made an in-app purchase
  4. Lastly, you can grab a list of all of the actors in the last step of your funnel, in this case, people who opened an email and clicked a URL.

You can add as many “Filters” as you’d like to make your funnel more targeted. Filters for your Funnel

Here’s an example funnel: Three Step Email Funnel