How to extract keywords from RingCentral Sales Call Transcripts using generative AI
How to Extract Keywords from RingCentral Sales Call Transcripts using Generative AI
As a sales team, you know the importance of analyzing your sales call transcripts to identify trends, customer pain points, and opportunities for improvement. However, manually combing through every sales call transcript is time-consuming and inefficient. The good news is that you can use generative AI to automatically extract keywords from your RingCentral sales call transcripts, saving you time and providing valuable insights. In this post, we’ll show you how to do just that.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. It can be used to extract key information and themes from text, and has many applications, such as search engine optimization (SEO), content analysis, and topic modeling.
Keyword extraction can be performed manually, but it can also be automated using machine learning algorithms. These algorithms learn to recognize patterns and features in the text that are associated with important words or phrases, and can be trained on a labeled dataset of text.
You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important information and themes.
Example Use Cases
Use cases for extracting keywords from RingCentral sales call transcripts include:
- Identifying common pain points and objections raised by customers
- Recognizing trends in customer needs and preferences
- Improving sales pitch and messaging
- Identifying opportunities for product development or improvement
Teams that might find these use cases helpful include: sales, marketing, product, and customer success.
Accessing the Data and Identifying Preliminary Keywords
To extract keywords from your RingCentral sales call transcripts, you first need to access the data. You can export the call transcripts in text format from RingCentral, or use a third-party tool to extract the data from your RingCentral account.
Once you have the data, it can be helpful to identify preliminary keywords that you want to extract from the transcripts. This can be done manually by reading through the transcripts and noting down the most common words and phrases. However, generative AI tools can also be used to automatically identify and measure the frequency of keywords, as well as suggest additional keywords that you may not have considered.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract the keywords from your RingCentral sales call transcripts. There are many tools available for this, including MonkeyLearn, Google Cloud Natural Language API, and Microsoft Azure Text Analytics, and AirOps.
By using generative AI to extract keywords from your RingCentral sales call transcripts, you can quickly and easily identify important insights and trends, improving your sales pitch and messaging, and identifying product development opportunities. Give it a try!