An introduction to Lexer Listen

In this article, we’re going to cover the basic navigation and functionality of Listen, how to conduct and save a search, and how to analyze your results.

If you’re new to using Lexer, we suggest reading our Beginner’s guide to insights article first.

What is Lexer Listen?

Lexer Listen is our digital listening platform, which allows you to analyze data from a huge range of sources. Listen is designed to make text easy to search and visualize - it’s an incredibly powerful search tool.

For a better understanding of all the data you can access in Listen, check out our guide to Your data in Lexer’s CDP.

Orientation of Listen

When you land in Listen, you’re presented with a column on the left of your screen. We call this the Deep Dive. This is where you’ll conduct your search for content across the internet.

Listen is made up of 6 screens on which to view your search results, and each one provides detail on different data points.

  1. Summary
  2. Live stream
  3. Terms
  4. Authors
  5. Locations
  6. Sources
Screen What it shows
Summary A glimpse of multiple data points in one view, including the number of mentions and authors, the aggregated reach of mentions, and the number of mentions per user
Live stream Realtime results, as well as breakdowns of content type, sources, authors, terms, and Classifications
Terms Common terms found in your results; review and compare
Authors See your specific audience and identify your engaged and influential authors
Locations Learn where your audience is, and restrict your search to specific regions
Source Identify the sources of your content (i.e. Facebook, Twitter, news article, blog etc.)

Searching for content in Lexer Listen is dependant on a hierarchy of filters. Each one is built with criteria that asks the internet for certain information, and they work together to gradually hone in on exactly what you’re looking for. To acheive this, your search relies on Tier Filters, which work by gradually refining your search, layer by layer. Think of it like this:

Tier filter level What it might be searching for Approximate volume of results
No filter Everything 30 million results
Tier 1 Facebook 1 million results
Tier 2 My brand 1,000 results
Tier 3 1 day & campaign hashtag 200 results

Once we have all 3 tiers in place, we’ve refined our search from tens of millions, down to only a few hundred really relevant results.

Tier Filters

Learn more about the different types of filters you can use to compile your search, and how to build them with these handy articles:

Your team’s Listen setup will likely have a few pre-configured searches (Saved Dives) you use regularly, but what if you want to search for something that hasn’t been configured? Generally, you’ll have existing Tier Filters you can use to build your own search. If not, refer back to our Creating Tier Filters article to set these up now.

Then, build your search in 5 easy steps:

1 Head to the first dropdown menu in your Deep Dive and select your Tier 1 Filter. This is where you want to conduct your search - for example, Facebook (using a Source Name filter).
2 Select your Tier 2 Filter from the dropdown menu below that. This is what you’re looking for, from within your Tier 1 - for example, mentions of @camplexer (using a Mentions Author filter)
3 Choose the date range you’d like to search within
4 Add any additional filters (Tier 3) that could help narrow down your results further - for example, NOT Lexar (using a Matching Terms filter)
5 Click Search

Here’s a visual representation of how you might build a search using multiple filters at each level:

Searching for keywords and phrases

When you search for something in Google, this uses Boolean logic. Lexer Listen uses the same approach, but gives you the power to control how this search is built, so that only relevant content is returned.

Read our guide on Searching for content for a comprehensive look into Boolean search language.

Saving your search as a Saved Dive

If you’re happy with your current search, you can now save this as a dive that you can access later.

Check out our guide on Saved Dives for more information on how to do this

Analyze your results

On the surface

Each screen in Listen will present you with:

A volume chart This runs along the top of the screen, and shows the volume of the data presented in that screen, over the given timeframe you’ve selected
A summary The big numbers that round up all data on your chosen screen to give you context and scale
Data tables A breakdown of the data for that category - your results in lists, sorted by largest volume/most recent/highest value

Dig a little deeper

All charts and tables in your results screens have a button in the top right corner that give you options to further analyze your data.

On some, it will give you the option to sort the table’s contents in a different order to get a different perspective.

On all, it will give you the option to Export to CSV. This provides you with a spreadsheet of the raw data, to conduct your own external analysis.

Report on your findings

Share your results at scale, and show trends and comparisons in the form of:

Further reading