How to Develop an AI-Powered Sales Strategy AI for Sales
![how to use ai in 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)
The use of AI for sales and marketing will not replace human sales reps but the tasks they perform. Using NLP, ML, and speech recognition, these AI solutions help sales reps get inside the heads of potential customers, thus, empowering the former to create more customized pitches. AI analyzes feedback and interactions to uncover valuable insights into customer needs. By gaining a deeper understanding of your customers, you can tailor your sales approach and improve customer satisfaction. Your time is precious, and every minute spent on manual tasks is a minute taken away from building relationships and driving revenue. This could include metrics such as increased lead conversion rates, reduced response time, improved accuracy in forecasting, or enhanced customer satisfaction.
![how to use ai in 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)
Drift offers hyper-intelligent conversational AI chatbots that are of huge benefit to salespeople. Using Drift’s AI, you can automatically converse with, learn from, and qualify incoming leads. That’s because Drift’s chatbots engage with leads 24/7 and score them based on their quality, so no good lead falls through the cracks because you lack a human rep manning chat.
The business benefits of using AI for sales
When considering the adoption of an AI tool for sales, it’s also crucial to have a clear set of criteria to ensure the tool aligns with your business needs and values. With AI systems processing vast amounts of data, there’s an increased risk of cyberattacks and data breaches. This in-depth research helps create a shortlist of solutions likely to provide the best ROI. By analyzing historical data and industry benchmarks, the company estimated that an AI-driven inventory management system could reduce food wastage costs by 15%.
Certain metrics will be easy to track, but others — like improving the customer experience, increasing brand awareness, or improving reputation — will be much harder. AI can also identify customers at risk of churn and put them in an automated marketing campaign to get them to re-engage with your company. AI can help increase customer retention and loyalty, delight customers with personalized content, and improve assets.
Businesses may need to upgrade their infrastructure or employ middleware solutions to facilitate effective data integration and real-time analytics. Moreover, generative AI has opened new avenues for enhancing customer communications. These AI systems can generate personalized email content, chat responses, and even recommend new sales strategies based on evolving data patterns. There is a wide – and growing – array of strategies for leveraging artificial intelligence in sales, ranging from researching the best tools to monitoring the success of your campaigns. Now, thanks to recent developments in generative AI technology, nearly all of the things Dana predicted are becoming a reality for sales teams. Sell’s all-in-one platform lets you build meaningful customer relationships without employing an entire army of salespeople.
Salesloft consolidates email, phone, SMS, and social media messaging into one central platform. Not only does this save sales reps time on mundane tasks like note-taking, it can help organizations identify sales process improvements. Gong provides AI-fueled conversation insights, catering to enterprise sales teams with larger budgets. A revenue intelligence platform, Gong specializes in conversation analytics and Salesforce training tools. The platform records, transcribes, and analyzes sales calls and meetings to provide insights and data-driven feedback for sales teams.
A leading fashion retailer integrated an AI-driven demand forecasting tool to optimize inventory management and reduce stockouts. Recognizing the importance of tracking the tool’s performance, they devise a structured approach to monitor how to use ai in sales its impact. A car dealership decided to leverage an AI tool to optimize its lead generation process. Recognizing the importance of proper training and change management, they implement a structured approach to ensure smooth adoption.
Charu is an outreach specialist with over 4 years of experience in digital marketing. Her expertise lies in developing and executing outreach campaigns that drive engagement and build brand awareness. When she’s not brainstorming outreach ideas, you can find Charu exploring the outdoors or practicing yoga. Teach every rep to sell like the best rep. Ramp up new hires fast by sharing successful sales calls and circulating best-in-class techniques across the team. We’re no fortune tellers, but it’s extremely unlikely AI will ever fully replace salespeople.
Thus, with intelligent algorithms, the process is no longer static; it’s responsive, ensuring that every offer hits the sweet spot for both the seller and the buyer. For example, AI can determine which pieces of content a sales rep should share—and when. It can also be used to analyze sales data, coach reps, and otherwise develop a data-driven approach to sales that makes closing deals way easier. Sales teams can use generative AI to create personalized content, coach sales reps and improve forecasting. Sales teams can use generative AI tools to create visual artifacts, such as presentation slides, in addition to text.
The Impact of Generative AI on Sales
This allows sales teams to focus more on strategic tasks and customer relationships. This automation also leads to faster processing of leads and opportunities, reducing the sales cycle’s duration. AI-driven tools provide real-time data and analytics, enabling sales representatives to make informed decisions quickly, further boosting productivity.
- For your business to achieve its targets and not miss out on any opportunity, your sales team must focus on leads that are more likely to convert immediately than those that need a bit more nurturing.
- The insights from the RAIN Group’s research underscore the impact AI can have in enhancing customer engagement, streamlining operations, and driving sales process effectiveness.
- Based on past buys and preferences, AI engines provide personalized recommendations.
- Artificial intelligence allows you to optimize this process by organizing and applying this data effectively.
Even if you’ve been in the sales game for a while, this manual multi-faceted analysis takes time. “Gong allows me to hear calls from my team, forecast my sales, and coach the team based on the platform’s great insights. It’s a must-have solution to improve results and develop any sales team.” Despite best practices, the majority of sales reps struggle with accurate forecasting of their pipelines. Artificial intelligence dramatically reduces these inaccuracies, ensuring more reliable predictions. Sales teams, armed with this intelligence, can anticipate customer needs, personalize their strategies, and navigate potential risks with ease. Once you have a list of qualified prospects, you need to reach out to them and start a conversation.
Misuse of AI tools can lead to breaches of customer privacy and potential legal issues. To overcome this challenge, companies need to invest in robust data governance practices. This includes regular audits of data accuracy, consistency, and completeness. Additionally, ensuring seamless integration of AI tools with existing CRM systems and data warehouses is crucial.
But these tools often augment human salespeople rather than replace them. In fact, AI tools are increasingly taking over work that human salespeople don’t have the ability or the time to do. Here at Marketing AI Institute, we have tons of sales reps in our audience. This improvement comes from a machine assessing its own performance and new data.
For the cases that include crafting personalized messages, you can use ChatGPT or any other AI-powered conversational chatbots. Manually crafting highly personalized messages for each customer segment at scale is almost always Chat GPT a huge challenge, as it requires tons of manual effort. Specialized AI-powered tools like Dynamic Pricing AI or Imprice, in turn, can monitor dozens of competitors and hundreds of thousands of parameters and react immediately.
Just 21% of marketers said it’s extensively integrated into their daily workflows. With an open rate of nearly 100% and a response rate of nearly 50%, text marketing is a go-to sales tool to increase efficiency. With all the digital marketing channels out there, you want to invest your marketing budget in the right places. AI sales tools can automatically track attribution in the buyer’s journey.
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)
AI sales tools will help you track where leads are within the sales pipeline with insights on the best ways to close the deal. Without the intervention of AI-driven lead scoring systems, your team would have to spend time making calls, understanding requirements, and filtering out the hot leads from the cold ones. For your business to achieve its targets and not miss out on any opportunity, your sales team must focus on leads that are more likely to convert immediately than those that need a bit more nurturing. This especially comes in handy for B2B sales teams as they have to nurture a lead longer than typical D2C markets. While the effectiveness of your sales team plays a major role in conversion rates, the quality of leads matters too. Traditional forecasting relies on what happened last year or season and perhaps a handful of current variables to anticipate what will happen in the future.
After implementing AI tools, continuously monitoring their performance and impact on sales processes is vital. Track metrics such as engagement rates, conversion rates, and overall sales growth. Insights gained from these metrics can help identify areas where AI tools are succeeding or where further optimization is needed.
Now, imagine this power applied to any piece of marketing or sales technology that uses data. AI can actually make everything, from ads to analytics to content, more intelligent. Artificial intelligence is an umbrella term that covers several different technologies, like machine learning, computer vision, natural language processing, deep learning, and more. Finally, we’ll overview some top companies that use AI technology to give salespeople superpowers, so you have several AI sales tools to start looking into. Exceed AI focuses on harnessing the power of Conversational AI to revolutionize the lead conversion process.
Analyze Sales Calls with Conversational Intelligence
Others would rather watch the webinar and forget the case study even exists. The average person might take AI for granted, but salespeople definitely shouldn’t. It will automatically be filled into the next template, which Jasper will use to create a description of your target audience. What would it mean for your career if you could hit every sales quota from here on out? What would it mean for your organization if you could reach every quarterly forecast (instead of missing them as over 90% of B2B companies do)?
- Only 49% of respondents in our research on Top Performance in Sales Prospecting report they enjoy it.
- Sales teams need to balance cost and the time and effort required to adopt new sales AI tools with the benefits those tools will provide.
- Keep reading to learn how AI can improve your sales enablement processes and specific tools you can use to make it happen.
- That’s the beauty of artificial intelligence—computers don’t get headaches, no matter how tedious the work is.
- 6sense’s AI can even uncover third-party buying signals to predict when you should engage with these prospects.
- AI for sales represents the use of AI technologies within parts or the entirety of a sales team.
And you’d need to tweak your parts of the script to sound more natural and provide more granular company information. But Jasper Chat can give you an excellent head start and streamline the process of creating scripts for all sorts of scenarios. Others include automated pricing optimization, automated customer segmentation, and sentiment analysis. They use natural language processing (NLP) technology to understand common questions or requests for assistance and respond appropriately.
How to Measure Content Marketing ROI (with Tools and Examples)
This can range from the use of advanced algorithms and data analysis to simply requesting a large language model (LLM) to write email responses. Incorporate AI tools into your prospecting workflow and build a robust pipeline. Create customer profiles, conduct research on your prospects, craft compelling touch sequences, create value-based offers, and plan your prospecting from start to finish. Also, their data-aware feature enables salespeople to spend more time on core activities, such as looking after existing customers and improving cold pitches, instead of doing repetitive jobs. AI-powered recommendation engines deliver tailored product suggestions based on customer preferences.
AI for Sales: Benefits, Use Cases, and Challenges – G2
AI for Sales: Benefits, Use Cases, and Challenges.
Posted: Mon, 30 Oct 2023 07:00:00 GMT [source]
Training programs and workshops that demonstrate how AI tools augment sales capabilities rather than replace them can help in mitigating these concerns. Involving sales teams in the decision-making process regarding AI tool selection and implementation strategies can also foster a sense of ownership and acceptance. In addition to routine automation, another approach to streamlining operations is through generative AI. It enables the generation of highly engaging and contextually appropriate sales presentations, proposals, and promotional materials for specific customer profiles. This capability not only enhances the quality of materials sales teams have at their disposal but also significantly cuts down the time they spend creating these materials. The most effective approach to training is to develop a comprehensive training program that includes hands-on workshops, interactive simulations, and regular follow-up sessions.
Lead scoring and segmentation
AI in sales involves integrating AI tools and technology to improve aspects of the sales process, like lead qualification, intake, outreach, and forecasting. Using advanced algorithms and machine learning, AI automates tasks, analyzes data, and offers valuable insights to sales teams, facilitating improved sales performance and increased deal closures. With AI, sales professionals can streamline operations and capitalize on opportunities more effectively. An effective AI strategy for sales and marketing involves integrating AI tools that can analyze large volumes of data to provide insights, predict customer behaviors, and automate tasks. The strategy should focus on enhancing customer engagement, improving lead generation, and optimizing marketing campaigns through predictive analytics and machine learning. Tools like HubSpot and Marketo offer AI functionalities that assist in these areas by automating campaign management and providing actionable insights to sales teams.
How does Zara use AI?
Zara partners with Jetlore for personalized recommendations, enhancing customer engagement through AI-driven insights into consumer behaviour. Implementation of Just-In-Telligent optimizes Zara's supply chain, predicting demand fluctuations and streamlining inventory management with AI.
By doing so, you can refine your strategies and priorities based on data-led forecasting, ensuring you bring more predictability to your sales forecast. AI automates workflows, streamlines project management, and offers intelligent suggestions to accelerate deal closures while eliminating human error. AI can also handle follow-ups and reminders, resulting in shorter sales cycles and improved revenue streams. Using AI tools assists with strategy and conversion by helping you plan, execute, and iterate on the other three steps. Once you’ve engaged with a prospect, the information they provide can inform prompts on how to respond to objections, secure a conversion, and move a prospect along the sales funnel.
According to McKinsey, sales professionals that have adopted AI have increased leads and appointments by about 50%. AI can’t handle complex problem-solving and human relations, so it has to be combined with a personal touch. For example, you can use sales artificial intelligence tools that tell you how often your competitors are coming up on sales calls.
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)
Tech companies selling smart home devices can use AI to analyze customer reviews and feedback. The sales leaders can then share their findings and best practices with the rest of the team. 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.
In fact, according to a recent Gartner study, 77% of sales organizations are already harnessing digital tools to boost team performance, with 66% employing AI for personalized coaching. However, just as AI can enable sales reps to spend time on the stuff that matters, AI can empower managers with more time to allocate to strategic planning and coaching, via a different application. Rarely do they have the time they would like (and need) to work with their teams to prioritize actions that win more customers and increase deal sizes. From historical data used to run predictive analytics, to real-time data used to determine how close to your team’s quota is, you need access to numbers.
AI analyzes customer data and social media posts to guide sales reps on the right approach. Before diving into AI adoption, they decided to assess their existing tech infrastructure. Highly streamlined sales processes powered by AI and machine learning aren’t just a pipe dream; they’re already a reality. Picture AI’s deep learning leading a symphony or anticipating needs before they’re voiced.
Forrester also predicts that the market for AI-powered platforms will grow to $37 billion by 2025. 6sense is an AI-powered sales platform that sales leaders can use to actually predict and identify accounts that are in-market. 6sense will also prioritize which ones matter most, based on their propensity to buy. 6sense’s AI can even uncover third-party buying signals to predict when you should engage with these prospects. When the time is right, Drift then hands off qualified leads to human salespeople for a warm, high-touch engagement.
How do you use AI properly?
- Be mindful of personal information.
- Understand privacy settings.
- Don't overshare.
- Think critically.
- Report inappropriate content.
- Be cautious with AI-generated messages.
- Don't solely rely on AI.
- Stay informed.
Compile sales records, CRM data, market trends, and any other relevant information (ensure the data is in a machine-readable format, commonly CSV or Excel). Plenty of tools will get you these numbers, but not all of them are equipped with AI algorithms. You can foun additiona information about ai customer service and artificial intelligence and NLP. According to IBM, artificial intelligence, often referred to as AI, is “a field, which combines computer science and robust datasets, to enable problem-solving.” Drift is an AI-powered conversational platform that accelerates conversations, pipeline, and sales rep onboarding with features like suggested replies and language translations.
Dynamic segmentation enables tailored initiatives that resonate with leads at different phases. It suggests personalized content and automates the next steps with optimal timing, cultivating trust among potential clients. Plus, AI analyzes data, helping managers pinpoint the right moment to intervene directly.
How can AI make sales calls?
By analyzing customer data and purchase history, AI algorithms can generate personalized scripts and suggest relevant talking points for each prospect. It doesn't just stop there; it also smartly pinpoints key topics that are likely to interest each person you're calling.
Artificial Intelligence has become an essential force in reshaping the sales world. It’s not just a tool; it’s a game-changer, enhancing decision-making and boosting performance dramatically. Allego is the only one of Forrester sales readiness leaders also leading in sales content.
However, its effectiveness relies heavily on the quality of data inputs, ethical considerations, and the necessity of human oversight, particularly in complex or sensitive sales scenarios. Offer hands-on training sessions, resources, and documentation to ensure everyone understands and feels comfortable using the AI technology. Encourage open communication and address any concerns or questions that arise during the training process. The average sales representative spends less than a third of their week actually selling. Don’t get left behind – let Master of Code Global be your trusted tech partner.
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sales](data:image/jpeg;base64,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AI-powered chatbots and virtual assistants can provide 24/7 availability, enhancing customer satisfaction by offering prompt and personalized service regardless of the time or day. But AI and machine learning https://chat.openai.com/ models don’t just produce new outputs — they’re specifically trained so that they continually improve their results. When these algorithms are being trained, they’re not just fed existing SDR pitches.
That includes surfacing the key topics and questions discussed with prospects and customers, as well as the actual relationship dynamics that matter to closing the deal. Gong’s AI can then even be used to coach reps on what works best, making each and every subsequent customer engagement even more successful. Sixty-two percent of respondents find AI beneficial for crafting effective sales cadences. Each session included 8—10 sales reps from various regions and product lines. The sessions were facilitated by an external consultant to ensure unbiased feedback. They also used Wonderway.io AI-powered sales coaching software to leverage the sales process.
How do you automate sales prospecting?
- Step 1: Define Your Ideal Customer Profile (ICP)
- Step 2: Choose Automation Platforms.
- Step 3: Create Automated Campaigns.
- Step 4: Monitor & Refine Your Automation Process.
Evaluate AI sales tools based on their ability to meet your sales challenges, integration capabilities with existing systems, user-friendliness, and scalability. Choosing the right tools gives you a higher chance of succeeding at your AI sales initiatives. But before we get into the specifics of how sales teams can use AI to boost their bottom line – and how tools like People.ai can help companies do this – let’s break down the basics of AI in sales first. 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 helps marketers measure the success of their campaigns by analyzing data like email open and click-through rates, and then suggesting and implementing tactics for better approaches. AI in marketing is all about recognizing patterns and gaining more engagement by appealing to trends in real-time.
How do I use AI to make money?
Beginners with limited technical knowledge of AI technology can use various AI tools and platforms to help with their side hustles, such as producing content, creating a website design, making online courses, doing freelance coding, and becoming AI product affiliates.
Can AI make sales calls?
AI cold calling is an outbound contact center or sales strategy that uses artificial intelligence technology to make calls without human intervention. It's a way to make cold calling more efficient and less time-consuming so employees can focus on other tasks.
What is the future of sales?
Over the next decade, we can expect to see a shift towards modern sales techniques that prioritize meaningful interactions, relationship building, and problem-solving. Sales reps will need to evolve into more of a consultant role, offering value and expertise to their clients.