Artificial Intelligence ( AI) has revolutionized the way sales teams work, offering powerful tools to automate tasks, identify opportunities and make more strategic decisions.
But how exactly can you use AI for everyday sales?
In this article, we’ll explore practical tips that will transform the way you sell, saving you time and improving your sales performance . If your goal is to close more deals in less time , you’re in the right place.
After all, what is AI for Sales?
Artificial Intelligence (AI) is the ability of technological systems to perform tasks that would normally require human intervention, such as making decisions, recognizing patterns and even predicting behaviors.
In sales, this means having tools that can automate repetitive processes, analyze large volumes of data in seconds, and provide valuable insights to improve your interactions with customers – ultimately increasing sales productivity .
Imagine having a digital assistant that organizes your sales pipeline , identifies the best leads, or even recommends the best approach to closing a deal. This is the power of AI for sales. Instead of wasting time on operational tasks, you can focus on strategy and generating value for your customers.
A recent survey showed that, although AI is the main trend for 2025, only 1/3 of sales teams have incorporated AI into their processes. In contrast, 55% of marketing professionals already use AI in their daily work.
With so many potential benefits, why is there still some resistance to using AI in sales teams? Part of it may be a lack of understanding about the different categories of AI and how they can be applied in practical ways.
To get the most out of this technology, it’s essential to know the options available and understand which type of AI can best meet your daily needs and challenges.
Generative AI vs. Predictive AI
Generative AI is capable of creating new content from existing data. It generates answers, images, texts and even new solutions. In the world of sales, this can be used in several ways. For example:
- Intelligent chatbots : Your chatbot can not only answer basic questions, but create complex responses that adapt to the context of the conversation with the customer;
- Personalized emails : Create automatically generated follow-up emails with a personalized tone and focused on the specific needs of each lead;
- Customized sales scripts : Generative AI can suggest or create tailored sales scripts for different customer profiles, optimizing approaches for each audience.
Predictive AI focuses on analyzing large volumes of data to identify patterns and predict future results, which makes a real difference in the sales process . Some examples of applications include:
- Lead Analysis : Predictive AI tools can assess your pipeline and pinpoint which leads are most likely to convert into customers, helping you prioritize the ones that really matter;
- Churn prediction : AI can analyze the behavior of current customers and predict which ones are at risk of canceling a contract or stopping buying, allowing you to act proactively to prevent churn;
- Sales Forecasting : Based on historical data and market behavior , Predictive AI can provide accurate forecasts of future sales, helping you adjust your strategies and improve team efficiency.
While Generative AI helps you create personalized content and interactions, Predictive AI enables you to make smarter, more strategic decisions.
The advantages of using AI for sales
Using AI for sales goes far beyond automation. AI offers a range of benefits that can transform the way you work, significantly improving your results.
A McKinsey study found that around 30% of sales tasks can be easily automated using artificial intelligence.
Another study, this time by Gartner, showed that sales lebanon whatsapp data teams currently spend only about 30% of their time in front of customers. The rest of the time, that is, 70% of it, is spent on activities such as data entry, meetings, prospecting, scheduling more meetings and other tasks, which can be optimized with the strategic use of technology.
With these numbers in mind, it’s clear that AI is a powerful option for anyone looking to increase productivity and efficiency in sales.
Some of the key benefits of including AI in the business process are:
Increased productivity
AI makes it possible to automate repetitive and operational tasks, such as sending emails, scheduling meetings and following up on follow-ups.
This frees up time for you to focus on more priority engine named best account based marketing solution 2019 by siia strategic activities, such as building stronger relationships with your customers and developing new business opportunities. Less time on administrative tasks, more time selling.
According to data from Hubspot , more than 55% of sales professionals believe they could save up to 3 hours per day by using AI in sales.
Analysis and interpretation of large volumes of data
The world of sales involves analyzing vast amounts of data about leads, customers, and competitors. AI tools can process this data much faster and more accurately than any human, providing actionable insights that can guide your strategy.
With AI, you can identify behavioral patterns and hidden asia phone number opportunities that might otherwise go unnoticed.
Personalization at scale
AI enables you to deliver personalized interactions, even to large volumes of customers. From targeted emails to tailored proposals, AI can create communications that feel individualized without you having to do all the work manually.
This increases prospect engagement and improves the customer experience, which can lead to a higher conversion rate.
More informed decision making
With AI, you can make decisions based on hard data, not guesswork. For example, predictive AI can tell you which leads are most likely to convert, or even which customers might be about to cancel a contract.
This allows you to act proactively, maximizing your chances of success and avoiding negative surprises.
More accurate sales forecasts
AI provides detailed forecasts based on historical data and current customer behavior. This helps you adjust your sales strategy in real time, preparing your team for market changes and helping you avoid periods of low performance.
Better sales cycle management
With AI, you can track the sales cycle more efficiently, identifying bottlenecks in the sales funnel and accelerating the conversion process.
This makes it easier to prioritize activities that will generate the greatest impact and keeps the sales flow healthier.
AI Applications for Sales
As previously mentioned, the application of AI for sales is not limited to automation. By knowing how to use the tools, you can:
- Make prospecting more effective with tools like Apollo and Lusha, which use advanced algorithms to analyze data and identify the most qualified leads based on behavioral profiles and market information. These platforms not only help you find relevant contacts, but also offer detailed insights into leads, facilitating more accurate approaches. This saves hours of research and increases the chances of starting conversations with the right prospects;
- Get higher-quality leads with tools that allow you to filter and segment leads based on specific criteria, such as industry, job title, company size, and interaction history. AI analyzes all this data and suggests leads that are most likely to convert . This ensures that your team focuses their efforts on the most promising opportunities, optimizing results;
- Make prospect outreach efforts more personalized by automating and creating personalized emails and messages for each prospect, tailoring content based on each lead’s preferences, history, and behavior. This allows your team to maintain a high level of engagement and relevance at scale. Which can make all the difference in converting opportunities;
- Maximize the use of sales professionals’ time to focus on sales by automating repetitive tasks like lead research and prospecting emails. AI frees up more time for professionals to focus on what they do best: selling. Instead of spending hours organizing data or building lead lists, teams can spend more time on high-value interactions and closing deals ;
- Reduce sales team ramp-up time by using AI tools to analyze the performance of experienced professionals and provide insights that help guide new hires faster. Additionally, AI can suggest the best scripts, practices. Approaches for different types of customers, helping new reps reach high productivity in less time;
- Generate reports and metrics easily. Instead of spending time manually compiling data, AI tools can automatically generate reports on team performance. The sales funnel, and prospect behavior. This helps sales leaders make faster. More informed decisions by identifying strengths and areas that need to be adjusted.
How to Create Accurate Prompts Using AI for Sales
The accuracy of using Artificial Intelligence is not limited to the tools, but also to the way you interact with them. In other words, the way we use our human intelligence will impact the results of artificial intelligence.
One of the most effective ways to get valuable results when using AI – especially with chatbots, virtual assistants, and generative tools – is by creating clear and specific prompts (instructions).
A good prompt can make the difference between a generic answer and a customized solution that truly meets your sales needs.
To create accurate prompts that will help you get the most out of AI, some best practices include:
Be clear and specific
The AI will respond according to what you ask it to do, so the clearer and more specific your prompt is , the better the results will be.
For example, when using an AI tool to generate a follow-up email , instead of asking “Write an email to a lead,” you could say, “Write a follow-up email to a lead who has expressed interest in our CRM software but has not yet scheduled a meeting.”
Provide relevant context
AI works best when it has access to contextual information, so include as much detail as you can so that the AI can understand the situation.
For example, if you are generating a sales script, include information about the customer. The product or service offered, and the stage of the buying journey.
A prompt like “Create a sales script to pitch our marketing automation solution to an early-stage e-commerce company” is much more helpful than something generic.
Define the outcome objective
Make sure the AI understands exactly what you want to achieve with the output. For example, when using AI to create a sales pitch. Make it clear whether the goal is to generate curiosity. Close a sale, or simply educate the prospect.
A good prompt might be: “Create an introductory email that highlights the benefits of our sales automation software and encourages scheduling a demo.”
Use relevant keywords
To maximize the effectiveness of your prompts, use keywords that reflect your desired outcome. If your goal is persuasion, include terms like “persuasive,” “compelling,” or “compelling” in your prompt.
For example: “Generate a persuasive email to a potential customer highlighting how our solution reduces onboarding time by 50%.”
Test and adjust
If the AI’s response isn’t exactly what you expected, don’t be discouraged. Adjust the prompt until the result meets your expectations.
Small changes, like adding more details or refining the objective, can significantly improve the accuracy of AI responses.
Example of a well-structured prompt: Let’s say you want to create a follow-up message. Instead of using a generic prompt like “Write a follow-up email,” try something like this:
“Write an educational follow-up email to a prospect at a mid-sized company who downloaded our sales automation whitepaper. Include a call to action suggesting a meeting to discuss how our solution can help increase sales team efficiency by 30%.”
This level of detail allows AI to provide an accurate. Personalized response that aligns with your sales team’s ultimate goal.
For more tips, watch this exclusive webinar:
Call Listening and Sales Coaching with ISA: DNA de Vendas’ AI solution
One of the areas where AI can be best used (if used well!) is in Sales Enablement , reducing the ramp-up time for new employees and increasing the productivity of the entire team.
With this in mind, DNA de Vendas developed an AI model for Enablement, with an exclusive methodology that combines 17 years of experience from the largest. Sales Consultancy in Brazil with Generative AI.
Our solution:
- Analyzes the Sales Team’s indicators ;
- Performs a complete assessment of professionals’ gaps and skills;
- Records and analyzes sales calls and texts.
From this, the tool makes it possible to:
- Creation of Individual Development Plans ;
- Creating customized content paths for the continuous development of the sales team.
Technology as one of the pillars of Sales productivity
At DNA de Vendas, we use the methodology of the 4 pillars of sales productivity :
- Processes;
- Management ;
- Technology ;
- People .
In other words, we are certain that technological tools are essential for automating processes, streamlining operations and helping with monitoring and tracking sales.
To consistently achieve your goals, you can rely on some technological tools, such as:
- The ideal CRM (Customer Relationship Management) ;
- Integrations between Sales and Marketing (whether by email, WhatsApp, among others);
- Market Intelligence and Prospecting Tools.
But before thinking about software and artificial intelligence systems. Remember to define the stages of your funnel and map out your entire sales process. So that the investment in technology is well applied and assertive.
At DNA, we emphasize that processes and management come before technology. If you don’t have the first two steps well defined, any investment in tools will likely be in vain.
Meet Sales DNA
DNA is the most complete Sales consultancy for increasing productivity in Brazil. With over 16 years in the market, we have expertise in building and validating Sales processes and qualifying sales teams.