How to extract keywords from Dialpad Sales Call Transcripts using generative AI
How to Extract Keywords from Dialpad Sales Call Transcripts Using Generative AI
As a sales team, you have a lot of conversations with prospective clients. These conversations can provide valuable insights that help you improve your sales process, but combing through each call transcript is impractical and inefficient. Fortunately, there is an easy, cost-effective way to identify important insights from your Dialpad sales call transcripts using AI. In this post, we'll show you how to use generative AI to automatically extract keywords from Dialpad sales call transcripts.
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. You can use it to extract key information and themes from text, which 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 Dialpad sales call transcripts include:
- Identifying the most frequently discussed pain points or objections
- Identifying the most effective sales tactics and messaging
- Identifying areas for training and improvement for sales reps
- Personalizing follow-up and outreach to prospects
- Measuring the effectiveness of new sales strategies or campaigns
Teams that might find these use cases helpful include: sales, marketing, and operations.
Accessing and Analyzing Your Data
You first need to identify the data that you want to work with. Here, we are looking at Dialpad sales call transcripts. You can extract this data using the Dialpad API, export it in CSV format, or query a list of transcripts from your data warehouse or BI tool.
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your call transcripts. Generative AI tools can be used to both identify and measure frequency of keywords but also to suggest additional keywords you may not have been aware to look for. For example - you might find that recurring objections around pricing may provide insights into product pricing opportunities non-obvious to the initial sales inquiry.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract the most important keywords from your Dialpad sales call transcripts. This will help you improve the quality and consistency of your sales conversations. This can help you both close more deals and improve the efficiency of your sales team.
By using generative AI to extract keywords from your Dialpad sales call transcripts, you can quickly and easily identify important insights that will help you improve your sales process, close more deals, and better serve your customers. Try it out for yourself!