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14 Ways AI Can Revamp the Sales and Marketing Processes

As time passes, there seems to be more and more tech tools at our disposal. These advancements offer businesses a solid opportunity to reflect on what is and isn’t working optimally in their day to day operations. It also helps pin point what exactly needs improvement and how tech can help companies work smarter, not harder. Artificial intelligence is among the most influential technologies of our time which business leaders across an array of industries can eagerly embrace.

AI and machine learning have given wings to digital sales and marketing techniques. Not only does this make them more effective, it also boosts the chance of sales conversion. Courtesy of AI’s ability to identify trends by synthesizing large volumes of data, the tech is naturally positioned to support all sales and marketing needs of both small and larger businesses.

Research already shows that over 40% of sales and marketing teams wholly recognize the importance of AI. And in particular, a subset of AI known as machine learning to guarantee they are able to hit their targets.   

For any company, innovation is key. With more and more companies targeting leads, businesses have to adopt new techniques to remain competitive in a changing market dynamic. AI and machine learning are among the top reasons behind making sales and marketing (SaM) versatile and competitive. When used correctly, it can help boost productivity, automation, and overall efficiency.

Below are all the different ways how machine learning can help revamp your sales and marketing processes. And oh, it wouldn’t hurt to checkout our article on how to get your organization AI ready first.

How to Improve Sales Processes with AI

As time passes, there seems to be more and more tech tools at our disposal. These advancements offer businesses a solid opportunity to reflect on what is and isn’t working optimally in their day to day operations. It also helps pin point what exactly needs improvement and how tech can help companies work smarter, not harder. Artificial intelligence is among the most influential technologies of our time which business leaders across an array of industries can eagerly embrace.

AI and machine learning have given wings to digital sales and marketing techniques. Not only does this make them more effective, it also boosts the chance of sales conversion. Courtesy of AI’s ability to identify trends by synthesizing large volumes of data, the tech is naturally positioned to support all sales and marketing needs of both small and larger businesses.

Research already shows that over 40% of sales and marketing teams wholly recognize the importance of AI. And in particular, a subset of AI known as machine learning to guarantee they are able to hit their targets.   

For any company, innovation is key. With more and more companies targeting leads, businesses have to adopt new techniques to remain competitive in a changing market dynamic. AI and machine learning are among the top reasons behind making sales and marketing (SaM) versatile and competitive. When used correctly, it can help boost productivity, automation, and overall efficiency.

Below are all the different ways how machine learning can help revamp your sales and marketing processes. And oh, it wouldn’t hurt to checkout our article on how to get your organization AI ready first.

1: Accelerating Mundane and Repetitive Tasks

Artificial Intelligence is supreme at recognizing patterns, analyzing, and carrying out repetitive tasks at scale. The adoption of AI will help your company accelerate all repetitive and mundane tasks. Unfortunately, it’s not great at building and sustaining human connections or even expressing emotion.

But not to worry, the additional free time will allow your employees to spend more time actually selling and connecting with prospects. The same goes for eliminating manual data entry which frees up precious sales time for customer engagement. Although sellers hate entering data into a CRM, it’s essential if you want to prioritize and forecast. Artificial intelligence can listen in on meetings, calls and emails to automatically correlate these actions and automate data entry to save even more time.

Read: How to Accelerate and Increase Sales with AI

2: Utilizing Predictive Lead Scoring

Machine learning can help your sales teams better understand their prospects traits and characteristics. When used for predictive lead scoring, AI helps marketing send quality leads to sales teams best positioned to engage with each client. Predictive lead scoring can also assist sellers to segment and differentiate prospects based on where they currently are in their purchase journey.

This also ties with the ability of AI to provide meaningful customer information. Just like dating, you’ll create a more intimate bond if you get to know the other person. As such, it’s key to empower your sales teams with relevant, meaningful information to form deeper relationships. This will go a long way to making quicker decisions, reducing efforts and forging more memorable connections with customers.   

Sales teams need to be equipped with the right tools to handle the ever shifting consumer behaviors. Your teams can focus on building customer relationships once you streamline time consuming tasks with AI. These tools will pull valuable information based on the buying trends to arm your teams with tactics and data for upselling and cross-selling.

Similarly, artificial intelligence can help companies better understand the cycles of their customers. It gets to know the customers and their habits better if you use predictive modeling along with machine learning. This translates to more efficient sales cycles that let companies better anticipate when existing companies are ready to buy.      

4: Addressing Gaps

Recently, there’s a lot of buzz around how AI can enable predictive modeling and detect iterative process. Unfortunately, everyone is already doing this. That’s why sales professionals have to offer what no one else does i.e. address the gap.  That’s where exception handling steps in to study outliers through machine learning. You have to find out why something isn’t working before you can fix it. 

5: Simplifying Pipeline Management

Businesses seem to be moving away from AI powered tech stacks for sales teams. It is all around us and has morphed into a crucial part of today’s modern revenue organization.

Thanks to machine learning and AI, teams can cut down the admin time spend by AEs and SDRs on managing pipelines. It can also surface risk signals before they can begin dealing any sort of impact. Needless to say, these capabilities are nothing if not game changing.

Read more on How Technology Helps in Pipeline Management

How to Improve Marketing Processes with AI

6: Predictive Analysis

Thanks to machine learning, AI allows marketers to quickly understand what is working and what isn’t. This allows them to make constant adjustments that improve their performance while giving them better ROIs. Using detailed information extracted by the algorithms, AI driven tech makes use of deep learning to analyze outputs.

As such, AI facilitates marketers to use deep learning to anticipate, analyze, and act fast to forge smarter campaigns while preserving their time for more demanding tasks. What’s more, AI can closely analyze past results to predict outcomes such as revenue, conversion rates and the value of each customer. This offers a baseline for marketers to use when planning for mid-course adjustments when changes are required due to anomalies. 

7: Content Curation

If you’re looking to advance your reach, there’s no better way that curating content. Aside from just generating it, AI has proven to be essential when it comes to content curation. With AI taking over this task, there’s an increased possibility of connecting with customers on sites and showing them more relevant and desired content.

Fortunately, there’s a wide range of tools that harness the power of AI to curate content in a more effective manner. Artificial Intelligence works by tracking the audience by the topics they look at or spend time on. This will allow you to deliver the relevant information related to their searches.

Here are more reasons why marketers are turning to AI to boost the quality of their content curation strategies.

-Marketers are able to identify sources of content that were previously concealed thanks to deep data mining tools.

-AI algorithms smooth out the process that companies use to syndicate content. With machine learning capabilities, they can draw better insight into contextual relevance of content.       

-AI tools help streamline the content editing process to make sure it’s properly presented to your target audience and widen its reach.

8: AI Assisted Web Design

Marketers around the world can now design better and interactive sites based on real experiences of past and existing prospects. This is all courtesy of the induction of AI and ML to the existing technology.

Artificial intelligence provides your marketing department with behavioral personalization for sites such as push notifications. These deliver the right message at the right time to particular users as part of a marketing campaign.

Different AI tools can also be put into use when it comes to designing professional looking websites. This is all based on user-provided information like texts, images, and calls to action. By analyzing data from single users, Artificial intelligence uses algorithms to enhance personalized web experience. This allows for the delivery of best fitting orders and content.

9: Creating and Customizing Content

Brands can create better content thanks to the insights provided by machine learning and artificial intelligence. In addition to customizing according to your business and marketing needs, AI tools are helping companies create relevant, personalized and responsive content. Coupling AI and ML makes use of all the available data in realtime to make decisions and draw conclusions independently.

Once integrated with machine learning, AI can help marketers with content selection as well as the delivery process to inject more value into potential customers. If you’re looking for something that will simplify the increase of click-through rate on your website, content automation and AI tools such as Wordsmith and Quill fit the bill perfectly.

10: Chatbots

By leveraging the power of AI, chatbots deliver superior customer service experience to your visitors. No matter the time of day, your chatbots will provide support all day every day through platforms like messenger applications. Chatbots make the automation process that much easier by giving your prospects a neat way to search for the commodity they wish to purchase.

Thanks to machine learning and natural learning processing, chatbots will find the correct response for each and every query fielded by site visitors. What’s more, the bots actually retain the entire customer conversation query history for future reference.

Read More on New Customer Standards and What to Do About It

11: Email Marketing Revolution

For anyone looking to maximize their email marketing efforts, nothing works better than machine learning and AI. Today’s breed of marketing experts re making use of AI to personalize email marketing campaigns based on user behavior and preference. This makes it possible to connect with your customers on a deeper level and potentially turn them into prospects and customers.

In order to determine the best time to contact clients, artificial intelligence analyzes all the data pertaining the customer. It also let you know the recommended frequency to contact prospects as well as which content will be the most relevant. What’s more, AI helps track subject lines and titles of emails that generate more clicks than the rest. When it comes to personalizing emails for each subscriber, AI proves to be the best hands down.

To learn more, checkout our post on Email Marketing Best Practices

12: Audience Selection

Did you know that the power of artificial intelligence can be leveraged to expand campaigns reach even further? This means you could boost parameters beyond linear segmentation to include individuals similar to the ones you have already converted. AI tools help improve audience selection along with segmentation.

And they do all this while identifying a target based on patterns and past behaviors that will allow marketers to offer tailored experiences that boost relevance. Obviously, relevance leads to much better conversions, return on investment and revenue. This is in addition to delivering experiences that resonate with all your prospective buyers.

Another area that AI tools and machine learning help with audience selection is by building a cognitive model from all the available data. This evades the traditional way of going through thousands of client files on the database and build the same. Similarly, artificial intelligence helps in the construction of better interfaces such as product selection features, live chat response, and much more. 

AI is also useful if you want to impress your customers and offer new conveniences. With machine learning tools, you get realtime capability by automating the data collecting process. This is as opposed to drawing out data from CRM systems in the traditional way with human involvement. Therefore, artificial intelligence lets businesses create model-based audiences, which results in a sales process that is more effective.

There’s been a considerable rise in voice searches thanks to AI powered virtual assistants. In order to recognize speech and transform it into a desirable search, you have to use different artificial intelligence algorithms.

Voice search involves using voice recognition techniques to deliver ideal search results that will enhance the customer’s experience. If you’re looking to help prospects close a deal or maneuver their buying journey, voice search is the way to go.

14: Channels

Based on information available about customers and past channel performance, artificial intelligence can assist marketing teams to determine the best place and time to engage with prospects. Machine learning and AI track online research from millions of companies.

This allows them to generate highly accurate intent scores based on the highly targeted, accurate and actionable intent data in the market. By channelizing the sales, you can captivate the sales team as well.    

Conclusion

For those of us who live, breathe and dream sales, we’re always on the lookout for AI-powered sales software. Since you’re here, I’d wager your sales team is already using a top range CRM such as Salesforce. What you might not be aware of is that there are AI tools designed to help make the most of Salesforce. Veloxy has all the essential features you need in an AI sales assistant software and many more, and you can test drive it with our 30 day free trial.

With Veloxy, companies can shrink their sales cycles, send out bulk email, track them and offer engagement analytics. The AI-Powered solution  also lets you focus on sales activities while taking the work out of Salesforce updates. Get Veloxy today and say hello to the only AI sales assistant your company will ever need.

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Read More:  Get the G2 AI Sales Assistant Software Momentum Report Today! 

Samir Majumdar

Samir Majumdar

Samir is the CEO and Co-founder of Veloxy. After spending 20+ years creating corporate systems, boosting revenue, and eliminating inefficiencies, Samir started Veloxy to help sales professionals shorten sales cycles, accelerate pipelines, and close more deals.

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