AI in Sales: How Artificial Intelligence Can Help You Close More Deals

In essence, while technology can enhance the sales process, the irreplaceable element remains the human touch. The outdated model of top salespeople simply making the most calls is now obsolete. With tech-enabled productivity aids now handling more menial tasks, sales excellence today is defined by the quality of customer interactions and ability to deliver value, not quantity of outreach. AI chatbots powered by natural language processing handle initial customer inquiries, improving response times and freeing up sales teams.

By leveraging AI in your B2B sales strategy, you can streamline processes and improve efficiency by automating repetitive tasks. This automated approach to lead scoring not only saves time but also improves accuracy. By considering multiple factors simultaneously, AI can identify patterns and make predictions that humans might overlook. Sales teams can focus their efforts on leads with the highest scores, increasing efficiency and maximizing conversion rates.

No wonder a 2018 McKinsey analysis of more than 400 advanced use cases showed that marketing was the domain where AI would contribute the greatest value. However, AI and machine learning can be used to automate certain tasks that are typically performed by sales representatives. This can help sales representatives focus on more important tasks and ultimately improve the efficiency of the sales process.

Artificial intelligence in sales

AI systems could manage tasks such as customer segmentation, lead scoring, and even personalized communication. The ability of autonomous AI will enable businesses to dynamically adjust their B2B sales processes. It will help offer a more agile and responsive approach to the ever-changing demands of the B2B marketplace.

In this post, we’ve put together the 10 best AI sales tools in the market right now. You’ll want a select number of tools that match your specific needs and objectives. It’s likely some of your sales reps may already be using AI frequently. It’s also likely that some of your sales reps have not tried out any AI platform, which means they won’t know how to use these platforms in the first place. Of sales professionals using generative AI tools for writing messages to prospects, 86% have reported that it is very effective.

Sales enablement is the process of providing your salespeople/sales teams with the right resources and tools to empower them to close more deals. The tools you choose will depend on which aspect of the sales process you need to optimize or automate. With machine learning, however, the benefit of sales automation is pushed even further. JPMorgan used AI machine learning as a marketing tool to improve their email outreach efforts. Without human intervention, the AI technology analyzed the results from their email campaigns and then used that data to create new email copy that would get even more click-through engagement.

Gartner research predicts that 70% of customer experiences will involve some kind of machine-learning component in the next three years. We are seeing this now with datasets around purchasing history with recommendations based on page/item views, listening history, previous search queries, and overall consumer behavior. With the development of natural language processing through AI, chatbots are now being used to augment customer service agents. Customers with more basic queries can refer to chatbots, which will give immediate, accurate answers. They can leverage past questions and historical data to deliver personalized results. This gives time back to customer service agents to work on complicated requests requiring more human nuance.

With Trender.ai, any sales professionals can automate the process of finding top leads across the social web by giving the tool’s AI your ICP. The tool also provides AI-powered research capabilities that surface deep insights about these leads, so you can close them more effectively. On the sales side, AI is all about speeding up the sales cycle and sales tracking and making room for more productive interactions. Contrary to what some people think, Artificial Intelligence isn’t replacing human salespeople anytime soon. Many sales processes still require a human element to seal the deal—and that human element will perform much better when it’s freed from the repetitive administrative tasks that AI can take on. There’s a lot of content that can fall under those three umbrellas, which can add up to a lot of data for analyzing.

AI marketing tools do not automatically know which actions to take to achieve marketing goals. They require time and training, just as humans do, to learn organizational goals, customer preferences, and historical trends, understand the overall context, and establish expertise. Suppose your AI marketing tools are not trained with high-quality data that is accurate, timely, and representative. In that case, you’ll end up with inaccurate data decisions that don’t truly reflect consumer desires, making your shiny new AI marketing tool nothing more than a toy. AI employs algorithms to evaluate leads and assign conversion likelihood scores.

Automating Customer Service

From there, marketing teams can serve more customized messages to users based on their preferences. A problem that marketing teams often encounter is deciding where to place advertisements and messaging. Marketing teams can create informed plans based on user preferences, but these teams are often not flexible or agile enough to alter the plan in real-time based on the latest consumer information. Digital marketers are using AI marketing to mitigate this challenge through programmatic advertising. Legacy models with flawed data and tech limitations are no longer relevant in today’s fast-paced, data-driven marketing landscape.

73% of B2B buyers say they want personalized experiences like those B2C customers receive, but only 22% say that sellers are meeting that need. Using this data, SDRs can reach out to at-risk customers and offer discounts or other incentives to keep them from leaving. In smaller organizations, it’s fairly easy to determine who is responsible. But as the sales cycle becomes longer, sales performance becomes increasingly difficult to attribute to any one source.

Sales professionals who use the right skills at the right time advance their sales processes. They become more adaptable in their dealings with numerous stakeholders who represent diverse viewpoints and interests. It’s never easy for businesses to select how much a discount to give a customer. You lose money if you leave money on the table, as vital as winning the deal is. Artificial intelligence in sales departments can help you predict the ideal discount rate by looking at the same elements of a previous deal closed. Artificial intelligence is, at its core, depends on rich, reliable data.

AI-based rational distribution of responsibilities will surely boost your sales team motivation. Select the AI tool that best aligns with your email marketing needs, audience size, and budget. Each of these tools offers unique features to improve email engagement and drive better results in your email marketing campaigns. If your company offers tailored pricing based on customers’ or clients’ needs, artificial intelligence can help you set the right price.

Quantified provides a role-play partner and coach for sales reps, a coaching portal for managers, and an admin portal for sales, enablement, and RevOps leaders. Vidyard Video Messages is a video creation platform that uses AI to guide the sales process, making it easier to record personalized videos and connect with leads. It’s a challenge to get the attention of prospective buyers, retain it, and nurture relationships. In an ecosystem rife with generic and irrelevant content, digital-first buyers rely upon personalized content experiences to inform their buying decisions. First, identify the many sorts of data sets within a company that you can integrate to create a more comprehensive picture of the client base. The sales department, for example, has historical purchase data, while the marketing department has website analytics and promotional campaign data.

And, it’s this customer-centric approach that sets them apart from the competition. It combines NLP, machine learning, and text mining to enhance data analysis processes. Once these algorithms digest this data, they can forecast future sales, identify promising leads, or suggest products to show customers. Machine learning algorithms continuously learn as they are exposed to new data, meaning they get “smarter” every time the company uses them. Artificial intelligence might be a significant issue for sales teams on its own. When combined with a planned strategy, artificial intelligence promises enhanced efficiency, effectiveness, and sales success.

Is AI in Marketing Only for Big Businesses?

AI in sales uses artificial intelligence to simplify and optimize sales processes. This is done using software tools that house trainable algorithms that process large datasets. AI tools are designed to help teams save time and sell more efficiently. It also means less reliance on human personnel, which can be hard to retain in a competitive job market. Computer vision AI is gaining extreme popularity in marketing, helping teams provide a more personalized brand experience. Small and medium-sized businesses can also utilize AI tools and platforms, such as generative AI and generative attribution.

AI can take over certain roles in business development, such as conducting simple software demos. Additionally, it can enhance customer support by training AI-driven systems with comprehensive product knowledge. This improves the overall customer experience and builds stronger connections with clients. In sales specifically, it’s called sales process automation that applies RPA to support sales-related tasks, such as data entry, lead scoring, or order processing. SPA contributes to enhanced speed and accuracy of sales processes by streamlining workflows and reducing errors.

They can use this information the lead’s website use patterns, current solutions they use, and past digital interactions to personalize content recommendations based on their preferences and needs. According to a 2021 report by Gartner, 41% of SDR leaders cite messaging as their biggest challenge at work. Many sales teams receive minimal support from marketing and enablement teams, leaving SDRs to craft their own messages to prospects. As any sales rep can tell you, the success of those messages can vary drastically.

There are plenty of quality sales AI vendors in the space that serve organizations of various sizes. Now, the accuracy of those predictions depends on the system being used and the quality of the data. But the fact is that, with the right inputs in the past and present, AI is capable of showing you who is most likely to buy in the future. At their core, though, all of these technologies help machines perform specific cognitive tasks as well as or better than humans.

HubSpot Sales Hub is a powerful and user-friendly sales CRM that includes sales engagement tools, CPQ functionality, and robust sales analytics. Built on the HubSpot CRM platform, Sales Hub provides a single source of truth for sales reps, enhancing efficiency. HubSpot’s ecosystem of app and solutions partners further contributes to creating an exceptional end-to-end customer experience, making it an ideal choice for growing solar businesses. The solar industry is rapidly evolving, and so are the tools that businesses use to drive sales. In the digital age, Artificial Intelligence (AI) is playing a pivotal role in enhancing sales processes and boosting productivity.

What is AI Marketing? A Complete Guide

AI bridges the gap between sales and marketing teams, aligning their workflows and strategies. It ensures both teams are in sync, from lead generation through social media campaigns to the final sales call, ultimately amplifying overall sales performance. Within this broader context, AI plays a pivotal role in sales, enhancing the way sales teams function. Machine learning and artificial intelligence (AI) are being dubbed the Fourth Industrial Revolution, and for good reason.

AI is poised to significantly change the way humans work, including sales professionals. But while many see AI as still a “way of the future,” innovative sales teams are harnessing the power of AI today. AI enables you to quickly analyze and pull insights from large data sets about your leads, customers, sales process, and more. You can use these insights to continually improve your sales processes and techniques.

A highly granular level of personalization is expected by today’s consumers. Marketing messages should be informed by a user’s interests, purchase history, location, past brand interactions, and other data points. AI marketing helps marketing teams go beyond standard demographic data to learn about consumer preferences on a granular, individual level. This helps brands create curated experiences based on a customer’s unique tastes. Extensive customer data collection and analysis can result in breaches and unauthorized access to sensitive information.

Working with specialized data subsets for modest process goals can be a beneficial stepping stone when combined with efforts to enhance data collection and quality. After that, these data sets get integrated with a Customer Relationship Management (CRM) platform for customer transactions and interactions. While salespeople can usually figure out which leads to pursue, knowing which leads to seeking first isn’t always straightforward. The sales leaders can then share their findings and best practices with the rest of the team.

In the world of marketing, AI will revolutionize content analytics, research, and greater campaign strategies. Advanced algorithms and machine learning enable AI to provide unparalleled insights into buyer behavior, allowing marketers to identify trends and behaviors. Content powered by AI will make it easier for teams to create and personalize content, ensuring that content resonates with specific buyers and segments.

Although there can be other AI-based tools like predictive analytics, voice recognition, or even emotion AI, we’ll focus on the key four that, in our opinion, set the ground. As your sales reps begin to see the results of your AI-powered coaching efforts, their motivation and engagement will likely increase. Exceed.ai’s sales assistant helps sales reps automate lead engagement, qualification, and meeting scheduling. You can then focus on other important activities like actually closing deals. Gong is a revenue intelligence platform that turns customer interactions into strategic insights, helping customer teams gain insights into market advancements. To balance human interaction with AI automation in sales, you can start by acknowledging the fear of losing personal touch.

Optimizing Pricing Strategies

As a whole, we can safely say that science and medicine, in most part, define the future of AI for the nearest decade. С) if the outcome of it is positive, it passes the data on for further processing. As you may have already understood, AI products are based on artificial neural networks (ANN). According to Deloitte’s State of AI in the Enterprise, 4th Edition, data fluency is one of the three key Ingredients of an AI-ready culture (trust and agility being the other two). When it comes to sales, AI can be highly impactful if you have access to data and a workable data set.

• In order to get started with AI marketing, digital marketers typically need to have a vast amount of data at their disposal.
• While AI can handle email blasts and automated calls, it lacks the depth for meaningful, face-to-face interactions.
• When combined with a planned strategy, artificial intelligence promises enhanced efficiency, effectiveness, and sales success.
• Its operation is based on the analysis of residents’ behavioral algorithms.

Marketing intelligence can mean a lot of things and with so many platforms, data, and technologies available these days, the term is thrown around… Today’s consumer has more power than ever, and marketers have to meet their target audience where they are by determining which platforms they’re… You could, for example, use an AI tool to generate email content for you.

Since the company began developing AI technology, it (among many others) began to pave the way for digital sales transformation. Salesforce, the popular CRM system, was one of the first notable applications of AI in sales. Since the company already had a global user base of millions, it was uniquely positioned to train its software based on its user inputs.

Give our cold email and LinkedIn InMail generator a try — you can start with 2,000 free words on us. Did you know that 33% of all SaaS spend goes either underutilized or wasted by companies? Often, this is because teams aren’t sure exactly how to use certain products. But there are a TON of AI tools for sales out there that do a TON of different things.

It is also helping businesses make data-driven decisions to improve sales performance and increase revenue. AI can be used in sales to automate and optimize various sales activities, such as lead scoring, customer segmentation, personalized messaging, and sales forecasting. It enables businesses to make data-driven decisions, free up time, and improve sales effectiveness. AI has permeated almost every aspect of our lives, and sales coaching is no exception. The applications of AI in lead generation and qualification are undeniably powerful. Automated lead scoring, personalized lead nurturing, and AI-powered chatbots are just the tip of the iceberg.

Experts say you should bring in a team of 4-5 people (depending on project size) to help keep the team on track. We talk a lot about how to properly use automation tools for lead generation, so it is important to note that not everything currently being sold as AI qualifies as such. The overall goal of AI is to make software that can learn about an input and explain a result with its output. The goal of AI science is to build a computer system that is capable of modeling human behavior so that it can use human-like thinking processes to solve complex problems. You can think of AI as a form of intelligence used to solve problems, come up with solutions, answer questions, make predictions, or offer strategic suggestions. In other words, it’s the development of computer programs that are able to do tasks and solve problems that usually require human intelligence.

This section explores the top applications of AI that are shaping the future of B2B sales. The best IT technologies for increasing the level of customer experience in your business. Delve into practical tips for greater success rates at a call center. It is essential to take an action that actually benefits the relationship and helps establish good communication. You can foun additiona information about ai customer service and artificial intelligence and NLP. Otherwise, you may risk alienating the right connection by coming off as too pushy, or on the contrary, taking too long to get in touch that prospects are no longer interested in what you offer. Autopopulate contacts and relevant information to help build strong relationships with key decision makers.

When not doing these, you will find him rescuing dogs or mowing competition down at a jiu jitsu studio. Organizations must set the infrastructure to enable artificial intelligence to reap the most significant benefit. As we continue to embrace these advancements, it’s essential to understand how Artificial Intelligence is not just changing sales but is also shaping the future of work across all industries. For example, AI automation in sales has assisted in automating purchases through bots, resulting in a reduction of 15 to 20% of spending sourced through e-platforms.

AI is a recommendation tool, but marketers have the expertise to know which recommendations are practical for their business. Another key use case for AI marketing tools is to increase efficiency across various processes. AI can help to automate tactical processes such as the sorting of marketing data, answering common customer artificial intelligence sales questions, and conducting security authorizations. This allows marketing teams more time to work on strategic and analytical work. If leveraged correctly, marketers can use AI marketing to transform their entire marketing program by extracting the most valuable insights from their datasets and acting on them in real-time.

LeadLander has decades of experience in the sales intelligence industry and offers extremely accurate visitor tracking data to help drive your sales efforts. You won’t know how effective your new sales AI solution is without measuring its impact. Establish KPIs to track the effectiveness of implementation, including improvements in lead conversion rates, reduced response times, or increased customer satisfaction.

Since they take away valuable time and energy that could be otherwise spent selling, unqualified sales leads are just as bad (or worse) than no leads at all. Machine learning models learn to analyze the impact of each touchpoint more effectively, giving credit where credit is due. And more importantly, sellers are more aware of which sales strategies actually improve the chances of closing a deal. One of the biggest points of contention between sales and marketing teams is which organization’s touchpoints had a greater impact on a sale.

This knowledge also aids managers in selecting new team members who have similar talents to quota-achievers. AI can assist salespeople in determining healthy connections and directing them to those that require care and those in good shape. Some firms employ AI to do this periodically, so it’s never too late to increase the lifetime value.

While they can be highly beneficial, they don’t learn on their own, reason, or make decisions like AI systems do. In this blog post, we’ll explore what AI is, how you can use AI tools for sales, and the benefits and challenges of using AI for sales. New data and insights from 600+ sales pros across B2B and B2C teams on how they’re using AI. For example, RocketDocs leverages AI to help its users build and manage dynamic content libraries.

While AI can be extremely helpful for your sales team, it’s not a cure-all. There are certain challenges and limitations to keep in mind, including the following. Some sales AI tools offer the ability to determine ideal pricing for a given customer. It does this using information gathered from past purchases and applies these to an algorithm to calculate and recommend the best pricing. Basic chatbots provide certain pre-programmed responses, while more advanced ones use AI to understand user input, generate responses, and improve responses over time. You can use AI for automation, but the terms don’t mean precisely the same thing.