5 Strategies to Teach Generative AI Tools to Nurture Demo Requests for You

Generative AI in sales has come a long way. They’ve evolved from simple chatbots into a conversation partner you could almost mistake for a human. Research suggests that AI can make a $15.7 trillion contribution to the global economy by 2030. 

Sure, AI hasn’t taken charge of the full sales cycle… yet. However, it’s assisting sales representatives with many tasks, from content creation to personalized lead engagement. This makes AI tools great for engaging your prospects and turning them into customers.

Overall, it’s been shown that AI in marketing can boost sales performance by 15% to 20%. The most impressive gains can be scored when conversational AI for sales is engaged in the last mile of the lead nurturing journey – between when prospects request a demo and place an order. 

So, what is generative AI, how can it help you with your job, and how do AI tools for nurturing fit in?

Let’s try to answer these questions as we take a closer look at generative artificial intelligence.

What is generative AI?

Generative AI is a type of artificial intelligence that can create new content, be it text, images, or music. It uses machine learning algorithms known as ‘neural networks’, which are computational models inspired by how the human brain works.

These neural networks are trained on huge datasets of content examples, learning patterns, styles, and structures. For example, ChatGPT (probably the most famous generative AI as of now) was trained using a database that included millions of books and articles.

When you give it a starting point with a prompt, generative AI uses its training to produce content that fulfills your request. It doesn’t merely replicate parts of content from its dataset. Rather, it combines elements in novel ways that often surprise even its developers.

It’s not yet clear whether generative AI possesses genuine creativity or something that can be called ‘generative thinking’. That being said, what is beyond a doubt is its ability to generate hundreds and thousands of content units in virtually no time and its skill in certain types of tasks.

What are the main advantages of AI?

The degree of generative AI success we’ve seen in the past few years is due to a few essential advantages it has over human performance, in particular:

• Data processing: AI can process and analyze vast amounts of data much faster and more accurately than humans
• Predictive analytics: AI’s ability to predict future trends and customer behaviors based on historical data is superior to humans
• 24/7 availability: AI can operate 24/7 without breaks or days off
• Cost saving: By automating routine tasks like data entry, analysis, and reporting, AI provides significant cost and time savings
• Rational decision-making: AI makes decisions based on data, and its thinking processes are unaffected by bias or emotions

Considering this, we can see AI has the skills for success in workplaces, especially in certain white-collar positions.

How can generative AI tools help you in your work?

If you’re a student, you’re in luck. There are several handy AI tools for students, such as:

• ChatGPT for essay writing
• SMMRY and QuillBot for summarizing textbooks and articles
• Photomath and Wolfram Alpha for solving complex math problems 

But are all of these tools just as useful for professionals? Could you assemble a tech stack built around AI for customer success, marketing, and sales enablement?

As a marketing specialist, you can use generative AI to assist you with a variety of tasks, including:

• Copywriting (ChatGPT, Jasper, Writerly)
• Graphic design (Dall-E, Midjourney)
• Email marketing automation (Persado, Phrasee)
• SEO and keyword optimization (Clearscope, MarketMuse)
• Social media research (Lately, Buffer)
• Market analysis and customer insights (Crayon, Brand24)
• Video creation (Synthesia, Lumen5)

Alternatively, instead of juggling the subscriptions for multiple tools, an all-in-one sales AI platform like AiSDR automates all sales outreach responsibilities, from inbox warm-up to getting leads to book demos.

What is demo request nurturing?

If your product or service is complex, like a SaaS platform, most customers will choose to try it for free before they finally choose to subscribe or purchase. Demo request nurturing is the task of interacting with leads during this demo stage to create a sale.

Everyone likes to be treated as an individual, not a number. Personalized follow-ups are vital to get people to try — and hopefully buy — your product. Traditionally, these follow-ups have to be crafted and delivered by a talented sales rep, but now marketing AI is ready to step in.

How can AI nurture demo requests?

A fine-tuned AI sales tool like AiSDR can help you nurture demo requests by suggesting the optimal audience, time, and place for messaging and generating a message tailored to each prospect’s needs. When you have a high number of requests, it’s easy for a human to overlook messaging opportunities or accidentally forget to send a follow-up. However, none of them will escape an AI tool, which maximizes your chances of finding your customers. 

To become a helpful assistant, generative AI needs customer or lead data. You can feed it a spreadsheet of your demo requests, and explain the rules for producing follow-up emails.

It sounds simple, but like with any task, it can be tricky when you approach it for the first time. It’s also difficult to get exactly what you want when using a generic AI such as ChatGPT for marketing and sales. 

Fortunately, you can get a better result with less stress by opting for a specialized sales automation tool like AiSDR. Developed with salespeople in mind, AiSDR is already fine-tuned, which means all you need to do is feed it lead data and it handles the rest of email outreach.

How do I train generative AI for demo request nurturing?

If you want AI to sell your product effectively, you can implement these five strategies to double down on your sales efforts for demo request leads.

Build a conversation framework 

Think of the questions a prospect will likely ask AI and how you’d like it to answer them. For example, if a person asks, “Can I see the product?” or “How does it work?” the AI should suggest a free demo and explain the terms. Providing clear instructions to AI is crucial for correct and personalized answers. 

For best results, give your AI model real-world conversational data such as chat logs and sales calls. This will help it learn from a diverse set of interactions.

Ensure you also include a way for users to give feedback on AI’s responses. This will let you see and fix any problems.

Map customer journeys

Map all the steps that your ideal customer is likely to take on the way to scheduling a meeting. With this information, you can fine-tune your AI sales tool to guide a prospect at every touchpoint of their journey.

For example, suppose a user has spent time on a web page that describes a specific product feature, but they haven’t scheduled a demo. Your AI tool can send a personalized message like “Hey, I noticed you were interested in [Feature Name]. Would you like a demo to see it in action?”

Add personalization

AI can track and use website visitors’ behavior to give personalized recommendations. For example, if you have three products, A, B, and C, and a visitor has spent much longer reading about product C, your AI assistant can send a personalized follow-up: “Hey, I see [Product C] got your interest! Would you like a demo to see it in action?”

Personalizing messages shows your prospects that you care about them. It’s like remembering a birthday but on a larger scale. Personalization like this is hard to implement with a large database of prospects and a small human team, but AI tools for nurturing can help you tailor your messages to appeal to your audience.

Leverage behavioral data 

AI in sales and marketing can become a goldmine if you train it on your company’s data. The bigger your data set, the stronger AI’s predictive power becomes. 

For example, by analyzing a prospect’s past behavior — such as the time they accessed your website — generative AI can figure out the perfect moment to approach them with a follow-up. It can even predict which other products they’d be interested in and offer a demo before the prospect even realizes they need it.

Refine emails iteratively 

Remember that stellar follow-up email that brought you a record-breaking number of deals? And the one that totally failed? AI tools for nurturing can — and should — learn from their successes and mistakes. 

All you need to do is make sure you have a feedback loop that gives your AI model real-time data about how people respond to its emails. With each iteration, it will be able to refine its wording to create the perfect pitch or follow-up.

Why should I trust generative AI to nurture demo requests?

You may be hesitant to trust AI with something as important as taking your customers through the last mile. That’s fine, but with human-only interactions, you’ll miss out on these three key benefits of sales enablement AI.

Increased efficiency

Sales reps can easily get frustrated when they have to put together large numbers of similar follow-up emails. An AI tool handles this kind of routine work without getting tired or annoyed, leaving your team to focus on higher-value tasks. As a bonus, AI assistants can even reach out to prospects outside business hours if that’s the time they’re most likely to respond.

Timely follow-ups

A sudden surge in demo requests will soon overwhelm your team and leave them struggling to process everything. As a result, leads can easily fall through the gap. There’s no such problem with generative AI, as it can immediately follow up on every request.

Large-scale personalization

Once your database hits 1,000 leads, are you still going to personalize follow-up emails manually? 

With AI tools for nurturing, the number of prospects doesn’t matter. A good AI assistant can process a database of any size and tailor messaging to each customer’s past interactions with your company.

Get started with AI tools for nurturing

AI-powered marketing can help you nurture leads more effectively 24/7, reach every prospect at the right moment, and personalize interactions on a large scale. AI tools for nurturing demo requests help you double down on your efforts at this critical sales stage, keeping you ahead of your competitors.

You can spend time researching and setting up multiple tools to cover all your sales and marketing needs, including demo lead nurturing. Or you can choose AiSDR, a sales-oriented AI assistant that can generate personalized nurturing campaigns to book meetings and calls in just a few clicks. 

Book a demo with AiSDR to start using generative AI for sales copy.

FAQ

How is generative AI trained?

Generative AI is trained by data and examples. At first, it’s fed tons of data, such as text or images. Then, it practices creating its own work until it gets really good at it. Think of it as teaching a robot to paint by showing it thousands of paintings first, then confirming whether or not the work it produces meets your criteria.

Can I use AI to generate leads?

Yes. AI tools can easily help you find potential customers. They scour the web, analyze data, and identify users interested in your product. With AI, you’re not just fishing for leads. You’ve got sonar to guide your process.

How do you automate lead nurturing?

AI tools can nurture leads by automating timely emails, sharing helpful content, and giving leads a virtual nudge now and then. It’s all about keeping the sales funnel working even when you’re out of the office — like setting up a 24/7 welcome party for potential customers.