Author: Nomic Team

Finding Revenue Insights in your Gong Data with Nomic Atlas

AI transcription software is making it easier to everyone to keep a complete record of all their video call transcripts for analysis. Gong does this specifically for sales professionals.

Nomic Atlas makes it easy to analyze the textual trends and critical sales insights in your Gong data. You can learn important things about your transcript data in a fraction of the time you might expect by exploring it in an interactive data map, where you can easily inspect the data laid out for browsing and answering questions.

In this blog post we're going to show you what this looks like. Below you will see an Atlas Story which takes you through a set of revenue team insights discovered using Atlas on an anonymized dataset of real Gong transcriptions.

As you scroll through the Atlas Story, you can click the map icon to open the data map analysis view in Atlas to explore more.

This is a data map containing one year of anonymized sales call excerpts. It was created with the Nomic Atlas Gong integration.

You can click the map icon in the lower left to explore this data in the Atlas interface.

The Nomic Atlas Gong Integration syncs with all of your Gong data and transcriptions allowing revenue teams to quickly analyze and find trends in thousands of hours of Gong recordings.

Let's filter out the shortest responses - many of which are just greetings and smalltalk - by only looking at messages with 50+ characters.

What reasons are customers giving for engaging?

This view of the data has two selections applied to help us find the region of data we are looking for:

1 - filter for External speakers (this is metadata captured from each Gong call)

2 - semantic search (one of the AI-powered capabilities in Atlas) for our query, "What reasons are customers giving for engaging?"

Zooming in and hovering over the points, we can see some trends in this region of comments:

1 - they have a low tolerance for risk, so they are seeking tools to inspect data closely.

2 - the need to maintain data sovereignty when choosing AI vendors.

How do customers feel about prices?

This view of the data has the same filter for External speakers, but now with a semantic search for "How do people feel about our prices?"

The sentiment overall in these comments: prices are reasonable, but some find them high.

There tend to be lots of follow up questions focus on enterprise plans & how cost scales with the number of seats purchased.

Also, some customers are expressing a need for a discount or extending their own budgets internally before engaging further.

Where were customers confused on calls?

Now let's look for where customers are expressing confusion as a sentiment.

Here is the result of a semantic search for External speaker comments similar to the phrase, "this is really confusing"

Two kinds of confusion emerge in the comments: an unclear website and offering, and the user interface not being intuitive enough for some customers.

Explore this Gong Transcription Dataset Yourself

Found an interesting pattern in the data map? Atlas makes it easy to share your discoveries. When you find a compelling view of the data, simply click the share button to generate a link that captures your exact perspective – from the zoom level to the filters you've applied - and share the link to your map with friends, collaborators, or your followers. They'll be able to see the same view of the data you've just captured!