5 Winning Strategies to Shorten the Deal Cycle
Posted: Sun Feb 02, 2025 6:17 am
Long sales cycles are a common problem faced by most companies around the world. In B2B, there are a lot of factors that increase the sales cycle.
According to recent reports, only 25 to 33% of B2B opportunities will be closed on time.
But that doesn’t mean all hope is lost. In this article, we offer you some methods that can help you speed up your sales cycle.
We've listed five winning strategies you can implement in your sales process to avoid stretching out your sales cycles.
The company's goals and expectations from piloting speech analytics
A mid-sized real estate company with a 50-agent netherlands mobile database contact center decided to implement a speech analytics system to automate call quality assessment and instant messaging. Their expectations included:
Automatic matching of scenarios and checklists.
Possibility of flexible analysis of operators' speech in real time.
Reducing costs of manual quality control.
Improving the efficiency of control and objectivity of assessing the performance of operators.
The speech analytics provider assured that all these tasks can be easily solved with their product. Moreover, they promised that artificial intelligence will be able to identify difficult moments in dialogues, such as the use of sensitive words or discussion of competitors.
Unmet Expectations: What Are the Technological Limitations of Old Speech Analytics?
Old-generation speech analytics relies on keyword and phrase analysis, which often leads to inconvenience and customer frustration. Here are the problems the company encountered during the pilot:
According to recent reports, only 25 to 33% of B2B opportunities will be closed on time.
But that doesn’t mean all hope is lost. In this article, we offer you some methods that can help you speed up your sales cycle.
We've listed five winning strategies you can implement in your sales process to avoid stretching out your sales cycles.
The company's goals and expectations from piloting speech analytics
A mid-sized real estate company with a 50-agent netherlands mobile database contact center decided to implement a speech analytics system to automate call quality assessment and instant messaging. Their expectations included:
Automatic matching of scenarios and checklists.
Possibility of flexible analysis of operators' speech in real time.
Reducing costs of manual quality control.
Improving the efficiency of control and objectivity of assessing the performance of operators.
The speech analytics provider assured that all these tasks can be easily solved with their product. Moreover, they promised that artificial intelligence will be able to identify difficult moments in dialogues, such as the use of sensitive words or discussion of competitors.
Unmet Expectations: What Are the Technological Limitations of Old Speech Analytics?
Old-generation speech analytics relies on keyword and phrase analysis, which often leads to inconvenience and customer frustration. Here are the problems the company encountered during the pilot: