Advanced Virtual Sales Assistant

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arzina998
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Joined: Mon Dec 23, 2024 3:24 am

Advanced Virtual Sales Assistant

Post by arzina998 »

Here, enormous, ever-changing datasets are the source. In addition, the number of datasets (CRM and website visitors, to name two) is very large. This makes artificial intelligence extremely suitable for turning this amount of data into real information. Infer is a company that is one of the market leaders in the field of predictive analysis for B2B.

Below are some examples of what predictive analytics is already capable of:

Identifying customers from your current CRM data who best fit your business and finding prospects that match this profile.
Scoring leads based on behavior, among other things, including the chance of sales success.
Personalization at scale for sales outreach campaigns.
Hyper-personalization for your Account Based Marketing strategy .
There are of course more ways to use AI. Below I describe a number of concrete applications of artificial intelligence for sales and marketing.


One of the AI ​​startups is Conversica , an AI-powered virtual sales assistant that raised $34 million earlier this year to further develop its platform. Conversica uses advanced AI technologies to approach potential leads in a human-like manner and then connect them with the right person within your organization.


For marketing, the major advantage is that leads are followed up on in a timely manner and feedback is received quickly, while sales receives much better leads.

A similar startup is LISA , which recently how to get a phone number in japan raised $800,000 to further develop its AI sales assistant. By CCing Lisa on emails from sales, these messages are automatically categorized based on sentiment (e.g. positive or negative response) and intent. LISA then pre-writes a draft response based on that when the lead responds, so sales only has to hit the send button.

Artificial intelligence to improve your sales pitch
One of the biggest challenges for companies is to build a good sales team. Startup Gong.io helps to improve sales performance and productivity.

The AI ​​software analyses conversations held with potential customers and provides advice on how sales can best close the deal. This is done based on an audio or video fragment, which is recorded via software such as GoToMeeting, WebEx or Zoom.

The transcript is categorized into topics such as budget, price, competition and urgency. Thanks to the software, Sales can immediately see how a conversation went and can highlight the most important points for a follow-up conversation.
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