Derive Real-time Insights and Identify Prospects’ Emotions with Speech Analytics Software
Salesken’s speech analytics solution captures prospect calls in real time and provides actionable insights. Sales reps can leverage these insights to identify the gaps and convert more leads with increased customer satisfaction.
#1 in G2’s Relationship Index for Speech Analytics Software,
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#1 in Relationship Index for Speech Analytics Software | Winter 2023
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6 Reasons why you should use Speech Analytics Tools
Here’s why Salesken’s Speech Analytics Application will never upset you:
Lead the prospect calls like a pro
Leverage data to enhance Customer support
Multi Language Support
Bring down every agent’s handling time
Automate Your Call Quality Monitoring Process
Why use Salesken’s Speech Analytics Software?
Even though most interactions are online, human-to-human calls are still popular in sales. Surveys show that 39% of customers prefer talking over the phone. Salesken’s speech analytics platform helps you to take control of these calls, dive deeper to understand customers’ emotions, and convert an objection into an opportunity.
When your sales team is aware of customers’ emotions and takes preventive actions to make them happy, it is obvious that customer satisfaction will increase. Therefore, Salesken’s speech analytics tool can speed up your sales revenue with increasing customer satisfaction.
Here’s how Salesken’s Speech Analytics Software looks in action
Salesken’s flexible, super-easy speech analytics application can derive actionable insights from sales call recordings to paint a clear picture of prospects’ emotions, and accordingly, the reps can plan the next steps.
Uncover and act on the sentiment-driving factors
Prospects and customers these days expect consistent assistance from brands. To keep up with their thought process, sales teams need to have a closer look at all the sentiment-driving factors. Salesken’s AI-powered speech analytics tool can perform in-depth sentiment analysis to identify the key driving factors and help the reps to interact efficiently with prospects.
Offer sure-fire solutions in the first step
Salesken’s speech analytics tool analyzes customers’ sentiments on the first attempt and navigates across their thoughts to help the reps understand their journey. As a result, reps can be more confident about their approach and quickly find better solutions to customers’ queries.
Identify and help out vulnerable customers
A speech analytics platform analyzes customer interactions closely to identify intuitive insights. This way sales reps can easily identify the vulnerable customers and the pain points they are dealing with. Hence, they can nurture these customers accordingly and create more empathetic conversations.
How does Salesken’s Speech Analytics Tool work?
Follow these four quick steps to automate your sales training system with Salesken.
Log in to Salesken
Sign-up and Log in to Salesken’s speech analytics application.
Integrate calls with CRM
Integrate call recordings with your existing CRM to get AI-powered insights.
Develop real-time pipeline visibility to identify risks and opportunities.
Forecast your sales revenue and make powerful lead conversion strategies.
Your sales team’s continuous source of support
Apart from offering automated insights into customers’ emotions, Salesken’s speech analytics tool provides 24/7 assistance to your sales team and motivates them to do better.
Integrate with 100+ tools, including CRMs, video conferencing tools, and dialers.
Salesken is 100% secure to use and assures zero data branches.
Salesken is compliant with all the required legislation.
With Salesken, there are no privacy threats. You can use this tool as per your requirements.
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Frequently Asked Questions
Speech analytics is an AI-based feature that helps sales teams uncover the underlying meaning behind what a customer or prospect says. Powerful AI can provide critical insights into a customer’s decision-making process.
Speech analytics tool is developed on the basis of strong Artificial Intelligence (AI) and machine learning algorithms. It can deeply analyze customers’ sentiments to identify usage trends and utilize those trends to improve selling.