AI Lead Nurturing: How It Works and Why You Need It

Your sales team is your most valuable asset, but how much of their day is spent on tasks that don't actually involve selling? Between initial follow-ups, scheduling meetings, and answering the same basic questions over and over, there’s little time left for strategic conversations and closing deals. It’s time to give them a better way to work. AI lead nurturing acts as a digital teammate, handling the repetitive, time-consuming groundwork of engaging and qualifying leads. This frees up your human experts to focus their energy on high-value activities, ensuring their skills are used where they matter most.

Key Takeaways

• Personalize every interaction, automatically: AI moves past generic email sequences by analyzing lead behavior to create relevant, one-on-one conversations. This builds stronger relationships and guides prospects through their journey more effectively.
• Let AI handle the groundwork so your team can close deals: Automate time-consuming tasks like initial follow-ups, lead qualification, and scheduling. This allows your sales reps to focus their energy on high-value conversations with the most qualified prospects.
• Treat AI as a strategic tool, not just a tech add-on: A successful rollout depends on more than just software. Start with clear goals, ensure your data is clean, and integrate the tool with your existing systems to create a seamless workflow for your team.

What is AI Lead Nurturing?

Think of AI lead nurturing as having a super-smart assistant dedicated to building relationships with your potential customers. It uses artificial intelligence to automatically communicate with leads, guiding them from the moment they show interest until they’re ready to have a serious conversation with your sales team. The goal isn't just to send out mass emails; it's to deliver timely, relevant, and personalized messages that help people solve their problems and see you as a trusted resource.

This process works in the background, ensuring no lead falls through the cracks while freeing up your team to focus on closing deals and talking to the most qualified prospects. It’s a way to scale your outreach without losing that crucial personal touch. To really get what makes AI so powerful here, it helps to look at how we got to this point. The way businesses nurture leads has changed quite a bit, moving from basic automation to a much more intelligent and adaptive approach.

How Lead Nurturing Has Evolved

In the past, lead nurturing was a manual, time-consuming task. Then came automation, which was a huge step forward. Businesses could finally use technology to automatically guide potential customers through their journey. This meant setting up email sequences and workflows to ensure leads received the right information at the right time, helping teams keep up with a growing list of contacts. This system is based on pre-set rules—if a lead does X, they get message Y. It’s efficient, but it can also feel a bit rigid and impersonal because it follows a script, regardless of the individual's specific needs or context.

The AI Difference: A New Approach

This is where AI changes the game. Instead of just following pre-programmed rules, AI-powered nurturing learns and adapts. These intelligent systems can research leads, understand their behavior, and then create custom messages that resonate on a personal level. This level of personalization helps build stronger customer relationships and makes your outreach far more effective. Rather than sending the same sequence to everyone in a segment, an AI agent can adjust its approach based on how a lead interacts, making the conversation feel more natural and human. It’s the difference between a one-size-fits-all email blast and a thoughtful, one-on-one conversation that happens at scale.

The Building Blocks of AI Lead Nurturing

AI lead nurturing might sound complex, but it’s built on a foundation of simple, powerful principles. Think of it less like a mysterious black box and more like a smart assistant that’s incredibly good at listening, learning, and responding. By breaking it down, you can see how each piece works together to create a system that understands your leads and guides them forward. These core components are what allow AI to build meaningful relationships at a scale that just wasn't possible before. Let's look at the four key building blocks that make it all work.

Gathering and Understanding Data

It all starts with data. To nurture a lead effectively, you first have to understand them. AI systems are designed to pull in information from all over the place—website visits, past purchases, support tickets, and even social media interactions. But the real magic is how AI makes sense of it all. Using technologies like Natural Language Processing (NLP), an AI can analyze customer feedback from surveys or support chats to pinpoint preferences and pain points. This creates a rich, detailed profile for every lead, moving way beyond basic demographics to understand who they are and what they truly need from you.

Learning from Every Interaction

Once the data is in place, the learning begins. An AI nurturing system is always paying attention. Every time a lead opens an email, clicks a link, or has a conversation with one of your AI agents, the system takes notes. This isn't just about tracking clicks; it's about understanding behavior and intent. If a lead keeps visiting your pricing page, the AI learns they're likely considering a purchase. If they ask a support agent detailed questions about a specific feature, it learns what matters most to them. This continuous learning loop ensures that your approach is always adapting and improving with every single interaction.

Speaking Your Customer's Language

Generic, one-size-fits-all messages just don't cut it anymore. The data and insights gathered by the AI are used to create conversations that feel personal and relevant. By understanding a lead's industry, challenges, and past interactions, the AI can tailor its messaging to speak directly to their needs. Instead of a generic "checking in" email, it can send a case study that’s relevant to their business or offer a demo focused on the features they’ve shown interest in. This level of personalization helps you build stronger relationships and shows leads that you’ve been listening.

Making Smart Moves, Instantly

Finally, AI turns all this understanding into action. It automates the decision-making process, instantly determining the best next step for each lead. This could mean sending a perfectly timed follow-up email, scheduling a meeting with a sales rep, or adding them to a specific campaign. For example, an inbound AI agent like Walter can qualify a lead on your website and book a meeting in real-time, 24/7. By handling these repetitive tasks, AI frees up your team to focus on high-value activities like closing deals and building strategic plans, ensuring no opportunity slips through the cracks.

Why Your Business Needs AI Lead Nurturing

As your business grows, it becomes nearly impossible to give every potential customer the personal attention they deserve. Juggling follow-ups, answering questions, and figuring out who’s actually ready to talk can feel like a full-time job in itself. This is where AI lead nurturing steps in. It’s not about replacing human connection; it’s about using smart technology to create more meaningful interactions at a scale you couldn’t manage otherwise. By automating the right parts of the process, you can ensure no lead falls through the cracks and your team can focus on what they do best: building relationships and closing deals.

Personalize Every Conversation, Automatically

Your customers expect to be treated like individuals, not just another number in your CRM. AI makes this possible by personalizing every conversation, automatically. Instead of sending generic email blasts, an AI agent can engage leads with messages tailored to their specific interests, past interactions, and on-site behavior. Imagine a system that remembers a lead downloaded a specific case study and follows up with a relevant question about it. This level of personalization builds trust and shows you’re paying attention. It’s like having a dedicated sales assistant for every single lead, ensuring each one gets a VIP experience that guides them smoothly from initial interest to a sales-ready conversation.

Know Which Leads Are Ready to Buy

Not all leads are created equal. Some are just browsing, while others are on the verge of making a purchase. The challenge is telling them apart. AI lead nurturing uses predictive scoring to analyze a lead’s behavior—like which pages they visit, how they interact with your emails, and what they say in chat—to determine their buying intent. This intelligent ranking system helps your sales team focus their energy on the most promising opportunities. Instead of wasting time on leads who aren’t ready, your team can engage with prospects who have a high likelihood of converting. This data-driven approach, proven in our case studies, ensures your team’s efforts are always directed where they’ll have the most impact.

Save Time and Focus on What Matters

Repetitive tasks can drain your sales team’s time and energy. Think of all the hours spent on initial follow-ups, scheduling meetings, and answering basic questions. AI lead nurturing automates these routine activities, freeing up your team to concentrate on more strategic work. When an AI agent handles the initial outreach and qualification, your human reps can step in when their expertise is truly needed—for complex negotiations, in-depth demos, and building strong client relationships. This allows you to manage a larger volume of leads without burning out your team or needing to hire more people. It’s about working smarter, not harder, and letting technology handle the groundwork.

Connect with Leads on Any Channel

Today’s customer journey isn’t linear, and it doesn’t happen in just one place. People expect to connect with businesses on the channels they prefer, whether that’s email, SMS, web chat, or even a phone call. AI lead nurturing makes it possible to deliver a consistent and seamless experience across all these touchpoints. An AI system can start a conversation on your website, follow up via text, and schedule a call without missing a beat. This omnichannel approach meets your customers where they are, making your business more accessible and responsive. By offering flexible communication options, like an AI voice agent for phone calls, you show leads you value their time and preferences.

Get to Know Your Customers Better

Every interaction with a potential customer is an opportunity to learn. AI lead nurturing systems are designed to do more than just talk—they listen. As AI agents engage with leads, they gather valuable data on common questions, pain points, objections, and feature requests. This feedback is a goldmine of insights that can inform everything from your product development to your marketing messaging. Think of it as having a continuous focus group providing real-time feedback on what your audience truly wants and needs. By analyzing these conversations, you can better understand your target market and refine your approach, ultimately leading to stronger customer relationships and a more competitive offering.

How AI Lead Nurturing Works in Practice

So, how does this all come together in your day-to-day operations? It’s less about flipping a single switch and more about a smart, automated system working behind the scenes. Think of it as giving your sales team a brilliant assistant who handles the repetitive work, so they can focus on closing deals. The AI essentially guides potential customers from initial interest to being sales-ready, all through personalized, timely conversations. Let's break down the key steps in the process.

Tracking and Analyzing Lead Behavior

First things first, the AI gets to know your leads. It pays close attention to their actions, like which pages they visit on your website, what emails they open, or which ads they click on. This isn't just about collecting data; it's about understanding intent. The AI analyzes these behaviors to figure out who is genuinely interested and what they care about most. This intelligent tracking ensures that your team’s efforts are focused on the most promising prospects, as shown in these customer success stories. It’s like having a guide that points you directly to the people who are ready to talk.

Automating Your Follow-ups

Once the AI understands a lead's interests, it can start a conversation automatically. This is where the magic really happens. Instead of your team manually sending follow-up messages, an AI agent can step in. For example, if a lead revisits your pricing page after a week, the AI can send a perfectly timed message asking if they have any questions. Our re-engagement agent, Mason, is designed for exactly this—picking up conversations with old leads to see if they're ready to move forward. This ensures no one slips through the cracks and every lead gets a prompt, relevant response.

Grouping Leads for Smarter Outreach

Your leads aren't all the same, so your outreach shouldn't be either. AI is fantastic at sorting contacts into specific groups based on their behavior, demographics, or where they are in their buying journey. This is called segmentation. By grouping similar leads together, you can tailor your messaging to address their specific needs and pain points. For instance, you can create one group for leads interested in a specific product feature and another for those who attended a webinar. This allows your AI agents to have much more specific and helpful conversations, making your outreach feel personal, not generic.

Keeping an Eye on Your Results

Finally, AI lead nurturing provides clear insights into what’s working and what isn’t. You can easily track key metrics like how many leads are responding, which messages get the most engagement, and how many conversations turn into qualified meetings. Because AI tools are always on, they provide a constant stream of data, allowing you to see results in real time. This continuous feedback loop helps you refine your approach over time. You can regularly check your campaign performance to make sure you’re not just talking to leads, but building real momentum for your sales team.

Common Hurdles and How to Clear Them

Adopting any new technology comes with a learning curve, and AI lead nurturing is no different. While the benefits are significant, you might run into a few common challenges along the way. The good news is that with a little foresight, these hurdles are completely manageable. Think of this as your guide to clearing them, ensuring a smooth and successful rollout for your team. By anticipating these issues, you can build a stronger, more effective nurturing strategy from day one.

Keeping Your Data Clean

Your AI is only as smart as the data you give it. If your CRM is filled with incomplete or inaccurate information, your AI nurturing efforts will struggle to be effective. Inaccurate data can lead to sending the wrong message to the right person, or the right message to the wrong one. To get ahead of this, make data hygiene a regular practice. This means auditing your existing contacts to fix errors and fill in gaps. It’s also smart to establish clear data entry standards for your team moving forward. A clean, reliable dataset is the foundation for any successful AI strategy.

Connecting Your Existing Tools

You’ve already invested time and money into your tech stack, from your CRM to your email marketing platform. A new AI tool should feel like a natural extension of your existing systems, not a separate island that creates more work. Before you commit to a solution, confirm that it offers seamless integrations with the tools you rely on every day. A well-integrated system allows data to flow freely, giving your AI the full context it needs to have meaningful conversations and ensuring your team has a single source of truth for every customer interaction. This prevents data silos and keeps your operations running smoothly.

Getting Your Team Onboard

It’s natural for team members to be a little hesitant about AI. The key is to frame it not as a replacement, but as a powerful assistant. Your AI agents are there to handle the repetitive, time-consuming tasks, freeing up your human team to focus on high-value activities like closing deals and building customer relationships. Involve your team in the process early on. Let them meet the digital teammates who will be joining them, like an AI agent that handles initial qualification or re-engages quiet leads. When your team sees AI as a tool that helps them succeed, adoption becomes enthusiastic instead of forced.

Staying Compliant and Building Trust

When you use AI to communicate with leads, you're handling their personal data. This makes privacy and compliance non-negotiable. Violating regulations like GDPR or CCPA can result in hefty fines and, more importantly, damage the trust you’ve built with your audience. Always partner with an AI provider that prioritizes security and is transparent about how they manage data. It’s also a good practice to be upfront with your customers. A simple disclosure that they’re interacting with an AI assistant can go a long way in maintaining transparency and building a trustworthy relationship from the very first conversation.

Solving Technical Setbacks

AI systems aren't something you can just set up and forget about. They require ongoing attention to perform at their best. Over time, data patterns and customer behaviors change, which means your AI models need to be monitored and fine-tuned. When you’re choosing a tool, look for a partner, not just a product. You want a provider that offers reliable technical support and a clear plan for maintenance and optimization. Having a dedicated support system ensures that when technical questions or setbacks arise, you have an expert team ready to help you solve them quickly.

How to Measure Your Success

Once your AI lead nurturing system is up and running, you need a clear way to see if it’s actually working. It’s not enough to just "set it and forget it." The real value comes from understanding its impact on your business goals. By tracking the right metrics, you can see exactly how AI is helping your team, refining your process, and contributing to your bottom line. Think of it as giving your new strategy a report card—it shows you where you’re excelling and where you can make small adjustments for even better results.

Tracking Conversion Rates

The most straightforward way to measure success is to look at your conversion rates. Simply put, what percentage of your nurtured leads are turning into paying customers? This is your ultimate goal, and AI should have a direct, positive impact here. When an AI agent warms up a lead with personalized, timely information, that person is much more prepared and interested when they finally speak to a human sales rep. You should see a noticeable increase in the number of leads who book meetings, request demos, and ultimately, make a purchase. Keep an eye on this metric before and after implementing AI to see the difference.

Measuring Lead Quality

Are your sales reps happy with the leads they’re receiving? That’s the core question behind measuring lead quality. A great AI nurturing system doesn’t just hand off a list of names; it delivers well-qualified prospects who are genuinely interested. AI uses data to understand which leads are most likely to buy, helping your team focus their energy where it counts. A key indicator of success is your sales team’s lead acceptance rate. If they’re accepting and acting on more leads from the AI system, you know you’re delivering quality. You can see how this works in our customer case studies.

Monitoring Engagement

Engagement metrics tell you how well your AI is communicating with potential customers. Are people opening the messages? Are they clicking the links? Are they responding? Regularly checking in on how much people interact with your campaigns gives you valuable insight into what’s resonating. High engagement is a great sign that your AI’s messaging is relevant and helpful. If you notice a drop, it’s a signal to revisit the conversation flows or timing. This feedback loop is essential for keeping your nurturing strategy effective and aligned with what your audience wants.

Calculating Your Return on Investment

Finally, it all comes down to ROI. Is the investment in AI lead nurturing paying off? To figure this out, look at both cost savings and revenue growth. On one hand, AI helps you reduce operational costs by automating tasks that used to take up your team’s valuable time. Calculate the hours your team gets back and what that’s worth. On the other hand, look at the new revenue generated from the increase in conversions and higher-quality leads. When you compare the cost of the tool to the value it creates, you get a clear picture of its financial impact on your business.

Best Practices for AI Lead Nurturing

Getting the most out of AI for lead nurturing isn't about flipping a switch and walking away. It’s about creating a smart system that works alongside your team. By following a few key practices, you can build an AI-powered process that not only saves time but also creates better experiences for your potential customers and delivers stronger results for your business. Think of it as giving your AI the best possible playbook for success.

Balance Automation with a Human Touch

AI is a powerful partner, but it shines brightest when it complements human expertise. While an AI agent can manage initial outreach, answer common questions, and qualify interest 24/7, your team provides the strategic oversight and personal connection needed to close a deal. As one expert puts it, "AI is an incredible tool that can enhance productivity and innovation, but it works best combined with human intelligence." Design your workflow so your AI, like our inbound agent Walter, can seamlessly hand off high-intent conversations to a human teammate. This ensures leads get the efficiency of AI and the nuanced understanding of a person right when they need it most.

Define Your Goals from the Start

Before you deploy any AI, you need a clear mission. What, exactly, do you want to accomplish? Are you trying to book more meetings, shorten your sales cycle, or re-engage a list of dormant leads? You need to "[c]learly define what you want AI to achieve and what problems it should solve." Setting specific, measurable goals from the beginning helps you configure your AI for the right tasks. For example, if your goal is to revive old leads, an agent like Mason can be tailored specifically for that purpose. This focus ensures your AI efforts are directly tied to business outcomes and makes it easier to track your success.

Use Customer Feedback to Improve

Your customer conversations are a goldmine of information, and AI can help you analyze them at scale. Every interaction your AI has is an opportunity to learn. By gathering and reviewing this feedback, you can "better understand their target audience... [and] identify their needs and preferences." Pay attention to the questions leads ask, the objections they raise, and the language they use. This data can help you refine your AI’s scripts, improve your sales messaging, and even inform your product development. It creates a powerful feedback loop where your nurturing process gets smarter with every conversation.

Continuously Optimize Your System

An effective AI lead nurturing strategy is never truly "finished." It’s a dynamic process that requires ongoing attention and adjustment. Leading companies "use AI analytics tools to continuously monitor... campaigns and optimize them for maximum efficiency and return on investment (ROI)." Regularly review your AI's performance. Are conversation rates improving? Which scripts are most effective? Use the data to identify what’s working and what isn’t, then make iterative changes to improve your results. This commitment to optimization ensures your AI system evolves with your business and continues to deliver value over time, as shown in these customer success stories.

How to Choose the Right AI Nurturing Tool

Picking the right AI nurturing tool can feel like a huge decision, but it doesn’t have to be overwhelming. The best platform for you is the one that fits your team’s workflow, budget, and goals. Instead of getting distracted by flashy features you might never use, focus on the core capabilities that will actually make a difference for your business. Think about what you need right now and where you see your company in the next few years.

A great AI tool should feel like a natural extension of your team—one that handles the repetitive tasks so your people can focus on building relationships and closing deals. As you explore your options, look for a partner, not just a piece of software. You want a tool that’s easy to implement, integrates with the systems you already rely on, and has a support team ready to help you succeed. Let’s walk through the key things to consider so you can choose a tool that truly works for you.

Must-Have Features to Look For

When you’re comparing tools, start with the essentials. Your AI nurturing platform should be able to hold natural, human-like conversations across different channels, whether that’s over the phone or through text. Look for features like intelligent lead qualification, automated follow-ups, and appointment scheduling. The AI should be sophisticated enough to understand context, answer complex questions, and know when to hand off a conversation to a human teammate. The goal is to find a tool with AI agents that can genuinely engage your prospects, not just send robotic, pre-programmed responses.

Check for Easy Integrations

Your new AI tool shouldn’t operate in a silo. For it to be truly effective, it needs to connect seamlessly with the other software you use every day, especially your CRM. A smooth integration means data flows automatically between systems, giving your team a complete view of every customer interaction without manual data entry. Before you commit, check if the platform offers pre-built integrations with your key tools. If you’re not sure, a quick look at their help center or a chat with their sales team should give you the answers you need. This step is crucial for creating a streamlined and efficient workflow.

Find a Tool That Can Grow with You

The tool you choose today should be able to support your business as it expands. Think about your long-term goals. Will you need to handle a higher volume of conversations? Do you plan to expand your outreach to different channels or use cases, like re-engaging old leads or providing customer support? A scalable platform allows you to add new capabilities or increase capacity without having to switch providers. Look for a solution that offers different types of AI agents for various tasks, so you can adapt your strategy as your business evolves.

Ask About Support and Training

Even the most intuitive software comes with a learning curve. That’s why strong customer support and comprehensive training resources are non-negotiable. Find out what kind of onboarding process the company offers. Do they have a dedicated support team you can reach out to with questions? Look for a robust knowledge base, video tutorials, and clear documentation that can help your team get up to speed quickly. A company that invests in its customers' success will provide the resources you need to get the most out of their platform and solve any issues that come up along the way.

Consider Your Budget

Of course, cost is always a factor. When you look at pricing, think beyond the monthly subscription fee. Consider the total value the tool will bring to your business. A slightly more expensive platform that saves your team hours of manual work and converts more leads will deliver a much higher return on investment. Look for transparent pricing models that align with your business needs, whether it’s based on the number of conversations or agents. The right tool is an investment in efficiency and growth, so choose the one that offers the best value, not just the lowest price.

What's Next for AI Lead Nurturing?

AI lead nurturing is evolving quickly, moving far beyond simple automated emails. The future isn't about replacing human connection but about making it more scalable and meaningful. We're heading toward a reality where AI acts as a true partner to your sales team, handling initial conversations with a level of intelligence and personalization that was once only possible through one-on-one human interaction. Think of it less as a tool and more as a digital teammate, capable of understanding and responding to leads with genuine empathy. This allows your human team to step in at the most critical moments, armed with context and insights gathered by their AI counterpart.

The core of this evolution is the shift from automation to autonomy. Instead of just following pre-set rules, AI systems are learning to think, predict, and adapt in real time. This means more relevant conversations for your leads and more qualified opportunities for your team. The technology is becoming more adept at understanding nuance, context, and intent, which opens up new possibilities for building relationships and driving growth. For businesses, this means you can engage every single lead instantly and effectively, without stretching your team thin or letting valuable prospects slip through the cracks. Let's look at a few key areas where AI is set to make the biggest impact.

New Tech on the Horizon

The next wave of AI tools will push personalization to a whole new level. Imagine a system that doesn't just send a follow-up email but adjusts the entire nurturing campaign based on a lead's specific needs and habits. AI-powered personalization will make content recommendations more targeted and timely than ever before. If a lead spends time on a certain pricing page or downloads a specific case study, the AI will instantly adapt its messaging to reflect that interest. This creates a truly dynamic experience where every interaction feels uniquely relevant to the individual, building trust and guiding them forward.

Smarter Predictions, Better Results

Guesswork is on its way out. While current AI helps with lead scoring, future systems will get much better at guessing which leads are most likely to buy. This is thanks to advancements in predictive analytics, which allow AI to identify subtle patterns in data that humans might miss. It will analyze a lead's behavior, firmographic data, and interaction history to forecast their likelihood to convert with incredible accuracy. This allows your sales team to prioritize their time effectively, focusing their energy on the opportunities that have the highest probability of closing and entrusting initial outreach to capable AI agents like Walter.

The Future of Personalized Conversations

Static message templates are becoming a thing of the past. The future lies in AI’s ability to create and manage dynamic, two-way conversations that feel genuinely human. AI tools can research leads, craft custom messages for them across different platforms, and follow up based on their responses. Instead of just pushing information out, these systems can ask questions, understand replies, and carry on a natural dialogue. This ability to manage human-like conversations at scale is what builds stronger customer relationships and, ultimately, leads to more sales. It’s about meeting customers where they are with the right message at the right time.

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Frequently Asked Questions

Will my customers know they're talking to an AI? Our goal is to create conversations that feel natural and helpful, not robotic. The AI agents are designed to be so human-like that customers often don't realize they aren't speaking with a person. However, we believe in transparency. Being upfront that a customer is interacting with an AI assistant can build trust and manage expectations, ensuring a positive experience from the start.

How is AI lead nurturing different from the marketing automation I already use? Think of it as the difference between a pre-set playlist and a live DJ. Standard marketing automation follows rigid, pre-programmed rules—if a lead does X, they get message Y. AI lead nurturing is far more dynamic. It learns from each interaction, understands context, and adapts its conversation in real-time based on the lead's specific behavior and needs, making the dialogue feel much more personal and relevant.

Does this mean I won't need my sales team anymore? Not at all. The purpose of AI lead nurturing is to make your sales team more effective, not to replace them. The AI acts as a digital teammate, handling the repetitive, time-consuming tasks like initial follow-ups and qualification. This frees up your human reps to focus their expertise on high-value activities like giving detailed demos, negotiating contracts, and building strong client relationships.

How much effort does it take to get an AI nurturing system running? Getting started is more straightforward than you might think. The key is to begin with clean data and clear goals. A good provider will offer a smooth onboarding process and help you integrate the tool with your existing systems, like your CRM. Once it's set up, the system requires some ongoing attention to review its performance and make small adjustments, but it's designed to be a low-maintenance, high-impact addition to your team.

What kind of data do I need for the AI to work effectively? The AI learns from the information you already have. It works best with a clean, organized set of data from your CRM, including contact information, past interactions, and any notes your team has made. The system also gathers new data from its own conversations and by tracking how leads interact with your website and messages. The more context it has, the more personal and effective its conversations will be.