How to extract keywords from SalesLoft Sales Call Transcripts using generative AI
How to Extract Keywords from SalesLoft Sales Call Transcripts using Generative AI
Do you want to quickly identify important insights from your SalesLoft sales call transcripts? Thanks to generative AI, you can now automatically extract keywords from these transcripts to get a better understanding of your customer's needs and preferences. In this post, we will show you how to use generative AI to identify keywords from SalesLoft 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 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 SalesLoft sales call transcripts include:
- Identifying common customer pain points
- Improving messaging and objection handling
- Personalizing customer interactions
- Identifying areas for training and improvement
Teams that might find these use cases helpful include: sales, marketing, and operations.
Finding your input data and identifying preliminary keywords
You first need to identify the data that you want to work with. Here, we are looking at SalesLoft sales call transcripts. You can extract this data using the SalesLoft API, export it in CSV format, query a list of sales call transcripts from your data warehouse or BI tool, or copy and paste with an example transcript.
For more information on the SalesLoft API see here: https://developers.salesloft.com/api.html
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your sales 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 customer inquiries around pricing may provide insights into the competitiveness of your pricing compared to your competitors.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract important keywords from your SalesLoft sales call transcripts. This will help you better understand your customers' needs and preferences, allowing you to tailor your messaging and objection handling to their specific pain points.
Overall, extracting keywords from SalesLoft sales call transcripts using generative AI is a powerful tool for any sales team looking to improve their messaging and better understand their customers. By following the steps outlined in this post, you can quickly and easily extract valuable insights from your sales call transcripts to improve your sales process and drive more revenue.