"Hello, I am having trouble with my account. The output will contain an array of keywords and phrases extracted from the input text data. The Keyword Identifier data app can be easily used in the AirOps Data App page and via API, but in this example, the analysis will be performed in Snowflake through an external function called AIROPS_KEYWORD_IDENTIFIER.ĪIROPS_KEYWORD_IDENTIFIER(text_field) as resultĮxecute the keyword extraction analysis by running the SQL query. The input required for Keyword Identifier is the "text_field" which is the input text data.ĭecide where you want the analysis to be performed and stored. Select "Keyword Identifier" from the Data Apps page. With AirOps, you can easily extract relevant keywords and phrases from your text-based data using the Keyword Identifier data app. Using AirOps to perform Keyword Identification Give it a try and see how it can benefit your sales team! This can help you improve your sales pitch language and approach, identify areas for improvement in your sales team, and increase conversions. Conclusionīy using generative AI to extract keywords from your Mixmax sales emails, you can quickly identify the most important insights and themes. This can help you both increase conversions and improve the efficiency of your sales team. This will help you improve the quality and consistency of your sales pitch language and approach. Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract the most important keywords from your Mixmax sales emails. For example - you might find that recurring customer inquiries around pricing may provide insights into product pricing strategy non-obvious to the initial sales inquiry. 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. Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your sales emails. You can extract this data from your email client, export it in CSV format, or query a list of emails from your data warehouse or BI tool. Here, we are looking at Mixmax sales emails. You first need to identify the data that you want to work with. Finding your input data and identifying preliminary keywords Teams that might find these use cases helpful include: sales, marketing, product, and operations. Identifying areas for training and improvement in the sales team.Improving sales pitch language and approach.Identifying customer objections and concerns.Identifying common product features that are praised by customers.Identifying common customer pain points and needs.Use cases for extracting keywords from Mixmax sales emails include: You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important insights and themes. 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. Keyword extraction can be performed manually, but it can also be automated using machine learning algorithms. You can use it to extract key insights and themes from text, which has many applications, such as search engine optimization (SEO), content analysis, and topic modeling. 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. In this post, we’ll show you how to use this technology to automatically extract keywords from Mixmax sales emails. Fortunately, there is a cost-effective way to automate this process using generative AI. How to Extract Keywords from Mixmax Sales Emails using Generative AIĪs a sales team, it can be overwhelming to manually comb through every sales email to identify the most important insights.
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