Conversational AI in Marketing: Engaging Customers on Calls and in Emails
Modern customers expect an instant response from businesses, even on holidays. Trying to meet these expectations manually can be costly, even for a large company, as it requires a significant number of representatives to be available 24/7.
Emerging companies typically lack the resources to maintain a large support team, while larger firms may need to have thousands of agents to cover their needs during peak loads. So, businesses are naturally turning to conversational AI to deliver fast, tailored responses without compromising customer experience or the company’s budget.
What Is Conversational Marketing?
It’s a type of marketing where businesses communicate with leads and clients through real-time and two-way interactions. Instead of one-way broadcasts such as ads or email marketing, conversational marketing uses social media, live chat, messengers, and email correspondence to establish a personal connection with each lead.

How Conversational AI Benefits Customer Journey
Forget about linear customer journeys. They are no longer relevant in 2025. Today, people move between channels and expect personalized interactions at every stage and across all channels. It also includes previously one-sided communication, such as email marketing. Conversational AI helps businesses streamline and humanize touchpoints throughout the sales journey.
How Conversational AI Benefits Pay-Per-Call and Email Marketing
Conversational AI is changing how businesses interact with customers by making communication more personalized and efficient. Calls and email marketing are two critical touchpoints in the customer journey that require your special attention. Let’s examine how new technologies benefit your multichannel marketing.
Conversational AI in Email Segmentation Software

Proper segmentation is crucial for any business, as advertising to everyone means you're essentially promoting to no one. Lead nurturing with personalized offers through email has become one of the most common ways to gently communicate with hundreds of leads simultaneously.
However, you need to properly segment each prospect into a suitable group. Otherwise, they may lose interest in your offers and turn to a competitor who responds to them faster with more relevant solutions to their issue.
Traditional services categorize subscribers into groups based on fixed criteria, such as demographics, location, or past purchasing behavior. While this level of automation is still better than manual sorting, static email segmentation often fails to capture the real-time needs and preferences of your potential clients.
Meanwhile, AI-based services analyze each customer interaction with your platform, including the pages they view and the duration of their examination of specific products. It helps them better understand what users may actually want, but may not explicitly express. Advanced email segmentation tools use natural language processing (NLP) and behavioral analysis to determine intent and give you:
- Hyper-personalization: Conversational AI moves beyond static categories like “male/female” or “new customer/returning customer.” It captures preferences and sentiments, making email campaigns feel truly personal.
- Real-time updates: Such tools automatically update lists according to the latest changes in user interest.
- Scalability: Regardless of the subscriber base's size, AI can analyze interactions at scale and refine targeted email segmentation autonomously.
- Higher engagement: Tailored recommendations, tone adjustments, and timely follow-ups based on real conversations result in higher open and click-through rates.
- Better insights: Your marketing team will gain access to more detailed insights about user sentiment, needs, and buying triggers, enabling smarter overall strategies.
It will result in improved deliverability and open rates, potentially increasing your customer retention, leading to higher return on investment (ROI).
Conversational AI in Call Routing
Proper call routing is crucial for every business that relies on personal interactions between agent and client, whether it's a sales representative or customer support. You need to ensure that you’ll connect the lead to the right person as soon as possible.
Modern customers don’t like an IVR menu (“Press 1 for billing, press 2 for technical support”), since they view it as slow and impersonal. Conversational AI is transforming this process by making routing faster, and similar to the conversation with peers, thanks to:
- Reduced wait times: By automating initial triage, AI can handle large call volumes and direct customers more efficiently.
- Improved customer experience: Users can just tell what they want in plain language, and conversational AI routes them to the appropriate representative immediately.
- Personalization: By integrating AI-powered marketing tools with your CRM, you can recognize returning customers, their history, and prioritize high-value accounts more efficiently.
- Scalability: Whether a business is handling 100 calls or 100,000, conversational AI adapts without requiring huge increases in staff.
- Agent efficiency: Your agents spend less time on misdirected conversations and more time solving problems.
All these features make conversational AI tools perfect for pay-per-call marketing. In performance-based campaigns, every call is critically valuable. Instead of pressing keys for a few minutes, your client may just tell, “I need you to help in choosing the best laptop for my son,” and the system automatically routes them to the most suitable representative.

Best Practices for Optimizing Conversational AI for Conversions
AI has the potential to transform your marketing, but it shows its best only when you are ready to properly implement smart solutions into your workflow. If you don’t have a solid plan, you may fall short and see no results even with the best tools. Check six ways how AI-powered digital marketing can give you measurable success:
- Understand customer intent: Tools with natural language processing (NLP) capture intent by analyzing the intention behind words.
- Personalize interactions: A McKinsey study shows that 71% of consumers expect personalization, and 76% are frustrated when it’s missing. Linking AI tools with your CRM enables you to transform data into more meaningful and tailored interactions.
- Streamline call-to-action paths: A smooth, straightforward customer journey keeps users engaged and reduces drop-offs. Clear steps in call routing or email interactions remove confusion and help leads move smoothly toward conversion.
- Use real-time feedback and analytics: AI-powered tools can identify hidden patterns and bottlenecks faster than a human. Don’t be afraid to automate your campaigns with AI in customer relationship management.
- Balance automation and human support: Nothing beats the actual human connection. We recommend using AI chatbots only for routine inquiries, initial qualification, and basic guidance. Let your team solve complex cases and guide high-ticket leads.
- Test and iterate: The market is constantly changing, so you should always test different versions of brand voice, prompts, and call routing rules. Conversational AI analyzes all user interactions, fine-tuning itself over time.
By following these best practices, you can make sure that the chosen AI-powered tools help you improve customer engagement by providing personalized experiences and guiding leads smoothly toward conversion. The implementation of such tools reduces friction, helping you build stronger, more lasting relationships with your leads.
Conclusion
If you want to become a leading player in your niche, you need more than just implementing simple automation tools. You should use smart instruments that automatically learn from previous experiences. AI-driven tools perfectly fit this scenario by enhancing your website tracking and lead routing at every stage: identifying customer needs, addressing pain points, and guiding people smoothly toward a purchase.
While you still need a solid marketing, sales, and support team, modern AI tools can analyze a vast amount of data 24/7, freeing resources of your team to focus on other crucial aspects such as strategy, creative campaigns, and building stronger customer relationships.
Frequently Asked Questions
What is conversational AI technology?
These tools use artificial intelligence (AI) to simulate human-like conversations. Instead of simply analyzing keywords, conversational AI chatbots use natural language processing (NLP) to understand the sentiment behind the sentence. It helps them to provide more accurate, context-aware answers.
Will AI in customer service replace agents?
No, as these chatbots are perfect for mundane tasks such as answering the most common questions or lead distribution. New technologies save time for both your clients and agents by routing users to the most suitable rep, but they never replace an actual agent.
How does conversational AI help improve email deliverability?
They can analyze user intent more deeply, which helps you sort leads into the right email lists. Therefore, you can send them recommendations that align with their interests. It reduces spam complaints and boosts engagement. In the long run, it improves email deliverability.


