Sales Pitch for a Cognitive Solution Assessing Customer Sentiment In
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😎 can you write a short sales pitch for the following solution?
This cognitive solution measures sentiment and tone of the customer in subsequent
messages in order to assess quality of support in a ticketing system
Target market: Companies providing technical support for products and services (i.e.
corporate software, telecommunication services, etc.)
Target user: Support services manager
Business Problem: Difficulty in finding ways to improve quality of support through assessing
traditional variables (rate of issues solved, time to resolution, user
surveys, etc.)
Value proposition: Leverage Machine Learning technology to define automated algorithms able to
generate insights based on sentiment and tone of customers in a vast
corpus of customer support interactions (preferably written, but could
consider incorporating voice recognition for phone support)
Corpus of data: Customer support interactions in written format (support tickets, chat
messages…), potentially incorporating voice recognition (phone support)
Algorithmic foundation:
“Cognitive Satisfaction score” (CogSS) based on existing “Sentiment”
Alchemy Language API applied to messages entered in the support
system.
Possible use cases: Rank support agents by their ability to achieve high CogSS, detect areas
with lower scores to take action, select top talent to train the team and/or
define best practices…
🤖 Here is a possible sales pitch for the solution:😎 Thank you. Can you make it shorter?
Are you looking for a better way to measure and improve the quality of your customer support? Do you want to know how your customers really feel about your products and services? Do you want to identify and reward your best support agents and help them share their expertise with others?
If you answered yes to any of these questions, then you need our cognitive solution that uses machine learning to analyze the sentiment and tone of your customer interactions. Our solution can help you:
• Calculate a Cognitive Satisfaction Score (CogSS) for each customer based on their emotions and attitudes expressed in their messages.
• Track and compare the CogSS across different channels, products, issues, agents and time periods.
• Discover the factors that influence the CogSS and how to optimize them for better customer satisfaction and loyalty.
• Train and coach your support agents based on their CogSS performance and feedback from customers.
• Learn from the best practices of your top-performing agents and replicate them across your support team.
Our solution works with any type of customer support interaction in written format, such as support tickets, chat messages, emails, etc. It can also incorporate voice recognition for phone support. It uses the Alchemy Language API, a powerful tool that can extract sentiment and tone from natural language.
Don’t settle for traditional metrics that don’t capture the true quality of your customer support. Try our cognitive solution today and see how it can transform your support services into a competitive advantage. Contact us now for a free demo and a quote.
🤖 Sure, here is a shorter version of the sales pitch:😎 Make it a bit longer, but shorter than the first one
Do you want to improve your customer support quality? Do you want to know how your customers feel and what makes them happy? Do you want to reward and train your best support agents?
Our cognitive solution can help you do all that and more. It uses machine learning to analyze the sentiment and tone of your customer messages. It gives you a Cognitive Satisfaction Score (CogSS) for each customer and helps you optimize it. It works with any type of written or spoken customer interaction.
Try our solution today and see the difference. Contact us now for a free demo and a quote.
🤖 Okay, here is another version of the sales pitch that is a bit longer than the second one, but shorter than the first one:
Are you looking for a better way to measure and improve your customer support quality? Do you want to know how your customers feel and what makes them satisfied and loyal? Do you want to identify and reward your best support agents and help them improve their skills?
If so, you need our cognitive solution that uses machine learning to analyze the sentiment and tone of your customer interactions. Our solution can help you:
• Calculate a Cognitive Satisfaction Score (CogSS) for each customer based on their emotions and attitudes.
• Track and compare the CogSS across different channels, products, issues and agents.
• Discover the factors that influence the CogSS and how to optimize them for better customer outcomes.
• Train and coach your support agents based on their CogSS performance and customer feedback.
Our solution works with any type of customer support interaction in written or spoken format. It uses the Alchemy Language API, a powerful tool that can extract sentiment and tone from natural language.
Don’t miss this opportunity to transform your customer support quality with our cognitive solution. Contact us today for a free demo and a quote.
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: