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What is Conversational Marketing? A Guide to Benefits, Strategies, and Best Practices
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What is Conversational Marketing? A Guide to Benefits, Strategies, and Best Practices

June 19, 2025
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What is Conversational Marketing? A Guide to Benefits, Strategies, and Best Practices
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  • Conversational marketing uses real-time, personalized messaging across SMS, WhatsApp, chat, and voice to drive customer engagement.
  • AI and human agents work together to deliver scalable support with empathy and personalization.
  • Traditional tools like scripted chatbots and siloed systems limit responsiveness and relevance.
  • Plivo’s AI agents (Sam, Campbell, Jolie) automate sales, outreach, and support with contextual intelligence.
  • Plivo’s CDP unifies customer data to power timely, personalized interactions across channels.
  • Conversations are how people buy now. They don’t wait through long forms or callbacks anymore. Instead, they turn to quick, direct messages — whether they’re browsing products, asking about pricing, or checking delivery timelines.

    Many teams already use live chat, chatbots, or automated messaging, but conversational marketing goes beyond those tools.

    Unlike simple chatbots that follow preset scripts or automated messages triggered by generic rules, conversational marketing focuses on continuous, personalized, and context-driven interactions. It blends automation with real-time responsiveness to create a more natural dialogue that adapts to each customer’s unique needs.

    In this guide, we’ll delve into how conversational marketing benefits your business, the limitations of using traditional tools, and how Plivo AI agents enhance your conversational marketing strategy.

    What is conversational marketing?

    Conversational marketing is a real-time, personalized approach to engaging customers through the communication channels they already use, like SMS, WhatsApp, RCS, website chat, and voice assistants.

    Unlike traditional marketing, which pushes one-size-fits-all messages to broad audiences, a conversational marketing strategy creates two-way, context-rich dialogues that feel more like natural, human conversations.

    Conversational marketing examples include a brand recommending products over WhatsApp, sending order updates via SMS, and answering follow-up questions through live voice support. Each touchpoint builds on the previous one, creating a consistent customer experience.

    The role of AI and human agents in scaling and personalizing conversations

    As customer expectations continue to rise, businesses are under pressure to deliver fast, personalized support without ballooning operational costs. The combination of AI and human agents helps companies balance speed, scale, and empathy in every customer interaction.

    Here’s how they work together for a consistent conversational marketing strategy:

    AI delivers scalable, 24/7 customer support

    AI chatbots help businesses support customers around the clock. They handle repetitive tasks, such as answering common questions, qualifying leads, and guiding users through your funnel. AI keeps prospects engaged, reducing wait times and boosting conversion rates without extra headcount.

    Plus, it delivers consistent messaging across communication channels and collects insights to refine your marketing and sales approach.

    Human agents bring empathy and problem-solving

    While AI handles routine conversations, human agents are crucial for the nuanced aspects of marketing, including building trust, addressing objections, and handling unique customer concerns.

    When conversations get tricky, sensitive, or require complex solutions, humans step in to connect on an emotional level, nurturing prospects into loyal customers.

    This human touch is more important than ever. In the U.S., even when people love a company or product, 59% will walk away after experiencing several bad interactions, and 17% will do so after just one. That’s why blending automation with empathy ensures every conversation feels authentic and valuable.

    AI makes personalization easy at scale

    AI leverages natural language processing (NLP) and machine learning (ML) to understand your customers’ behaviors, preferences, and past interactions. It can recommend products, customize offers, or deliver hyper-relevant messages all in real time.

    These capabilities make every conversation feel like a one-on-one, even when you're engaging thousands. As AI learns and adapts, the marketing experience becomes increasingly intelligent, intuitive, and human-like.

    Limitations of traditional conversational tools

    Traditional conversational tools present challenges that can undermine customer experience and marketing effectiveness. These include:

    Human teams can’t work around the clock

    Human support teams face natural limitations, such as working hours, fatigue, and staffing constraints, that prevent them from offering 24/7 assistance. As a result, customer inquiries made outside of business hours often go unanswered or are delayed, leading to a poor customer experience and missed opportunities for engagement.

    AI-powered systems also provide always-on support at scale, handling multiple conversations simultaneously.

    Chatbots lack intelligence and context

    Basic chatbots work using fixed scripts or rules; they don’t understand what users mean and can’t handle questions that don’t follow their script. The result is often repetitive or off-topic responses.

    In fact, recent studies show that only 8% of people use chatbots, and just 25% of those said they would use that chatbot again.

    Even though companies are spending more on chatbots, many still don’t help users get what they need. AI customer service chatbots that utilize NLP and ML are effective, but they still struggle to recall past interactions or pick up on subtle details in what people say.

    Separate systems lead to poor personalization

    When conversational tools operate in silos separate from CRMs, customer databases, or other business systems they lack the data needed to deliver personalized experiences. This disconnect results in generic interactions that overlook a customer's history, preferences, or previous interactions.

    Without personalization, users feel like strangers each time they engage, which weakens trust and loyalty.

    Integrating these tools with broader business systems is essential for delivering meaningful, context-aware conversations, but achieving seamless integration remains a significant technical and organizational challenge.

    Slow responses kill conversions

    When customers face long wait times, whether due to human agent limitations or sluggish bot performance, they’re more likely to drop off before converting. Traditional tools can fall short if they rely on backend processing or require escalating issues to human staff.

    Conversational marketing helps by responding to routine questions, routing complex ones, maintaining engagement, and enhancing conversion potential.

    Plivo’s AI agent framework for conversational marketing

    Plivo’s AI agents work like expert team members for your business, available 24/7 to engage with your customers, assist them, and ensure satisfaction. These AI agents are trained on your brand’s information, like your products, customer history, and FAQs, so that they can have natural, personalized conversations.

    Three testimonials from different companies (Jungleworks, Md-abroad, MAGNA) praise Plivo for its reliability, cost-effectiveness, and support.
    Testimonials from Jungleworks, MD-abroad, and MAGNA

    They learn what customers need and give helpful, personalized responses. They also reflect your brand’s unique voice and can be customized to match your style and tone.

    3 core capabilities of Plivo’s AI agents

    Plivo’s AI framework has three key capabilities that align directly with your business’s growth journey. Each represents a specialized AI agent tailored to optimize critical customer touchpoints. Here’s a closer look.

    1. Convert: Turning conversations into revenue

    Three panels show AI agents: Sales Conversion with chat bubbles for purchases, Shopping Assistant with product queries, and Lead Qualification with loan inquiry
    Convert AI agents by Plivo

    Sam is your digital sales professional, trained to qualify leads, recommend the right products, and nudge customers toward purchase completion. Capabilities include:

    • Abandoned cart recovery: Detects when customers leave without completing a purchase and sends timely, personalized reminders with incentives or information to encourage them to return.
    • Product queries and pricing questions: Provides instant, accurate answers 24/7, reducing friction and accelerating buying decisions.
    • Multi-language support: Engages a diverse customer base, breaking language barriers with fluent, localized conversations.
    • Always-on availability: Ensures potential customers are attended to regardless of time zones or business hours.

    Example: A shopper adds a coffee table to their cart but leaves the site without checking out. Later that evening, Sam sends a message through SMS: “Still thinking about the walnut coffee table? It’s back in stock and ships free this week.”

    The customer asks if it fits smaller spaces. Sam responds with dimensions and a link to a video showing the table in a compact living room. The shopper returns to complete the order.

    2. Engage: Orchestrating timely, personalized outreach

    The image illustrates three agents. The Upsell & Cross-Sell Agent shows a shopping cart icon and text bubbles with upgrade prompts. The Loyalty & Rewards Agent displays a profile picture, order history, and a thank-you message. The Retention Marketing Agent includes images of blue and green home items with a message emphasizing style matching.
    Engage AI agents in Plivo

    Campbell specializes in behavior-driven marketing automation, delivering personalized campaigns triggered by real-time customer behavior and lifecycle events. Key functions include:

    • Behavioral triggers: Launches precisely timed SMS, WhatsApp, or chat campaigns based on user actions, such as browsing a product category or subscribing for updates.
    • Lifecycle messaging: Sends personalized messages for birthdays, restocks, and post-purchase follow-ups, making customers feel valued and engaged.
    • Cross-channel orchestration: Manages campaigns across multiple channels, ensuring consistent, on-brand communication without manual intervention.

    Campbell enables businesses to maintain meaningful, proactive engagement that nurtures relationships, drives repeat purchases, and builds customer loyalty at scale.

    Example: A B2B software company uses Campbell to automate lifecycle messaging for users in a 14-day free trial.

    On day five, Campbell notices a user hasn’t explored key features and sends: “Need help getting the most out of your trial? Here’s a quick walkthrough of advanced automations our users love.”

    If the user still hasn’t upgraded by day 12, Campbell follows up with a personalized offer and access to a customer success rep, keeping the conversation going and increasing conversion odds.

    3. Delight: Support that drives loyalty

    Three images showcasing different AI agents. Left: Customer support suggests restarting a router. Center: Order tracking shows delivery status. Right: Appointment scheduling on a smartphone displays confirmation of an appointment time
    Delight AI agents for customer support

    Jolie is your always-on concierge, ensuring customers feel supported throughout the post-purchase journey. From onboarding to troubleshooting and returns, Jolie ensures high satisfaction and low churn rates.

    Here are some capabilities:

    • Onboarding assistance: Provides new customers with personalized guidance and answers to common setup questions.
    • Post-sale support: Manages returns, exchanges, troubleshooting, and FAQs with instant solutions based on your business rules and knowledge base.

    Sentiment detection and escalation: Utilizes AI-powered sentiment analysis to identify frustrated or dissatisfied customers, escalating complex issues to human agents before they escalate.

    Example: A boutique travel company uses Jolie to guide customers post-booking. After a guest confirms their itinerary, Jolie sends a message: “Here’s your personalized travel checklist, weather updates, and airport transfer details. Need help with dinner reservations or last-minute changes? I’ve got you.”

    If the guest later expresses concern, such as “My flight was canceled”, Jolie detects urgency, escalates to a live agent, and shares interim hotel options to avoid friction in the travel experience.

    How Plivo AI agents work with the customer data platform (CDP)

    Plivo’s AI-powered CDP is designed to unify, analyze, and activate customer data in real time, helping businesses create personalized and impactful customer interactions across various channels, including SMS, WhatsApp, voice, and chat.

    Here’s a detailed breakdown of how it works:

    Unified customer profiles in real time

    Plivo’s CDP integrates customer data from multiple sources, including CRM systems, e-commerce platforms, support tools, and analytics services, into a single, unified customer profile. 

    Every piece of customer information, from purchase history to browsing behavior, is brought together and updated. This “one customer, one story” approach ensures data is clean, connected, and ready to power personalized engagement.

    The platform supports over 350 integrations with popular tools like Salesforce, HubSpot, Zendesk, Marketo, and more. This makes it easy to plug in and start managing your customer data without needing a dedicated IT team.

    Example: A logistics company integrates Plivo’s CDP with their CRM, warehouse management system, and customer support platform.

    When a client contacts support about a delayed shipment, the agent (or AI) immediately accesses a unified profile showing order history, delivery status, and past interactions. This allows Jolie, the Delight AI agent, to provide personalized updates and proactive solutions without making the customer repeat information.

    Behavioral segmentation and custom attributes

    The platform uses behavioral segmentation to categorize customers based on their actions, such as purchases, message interactions, and engagement history. These segments update automatically, ensuring your targeting is always precise and current.

    Additionally, you can define custom attributes for your business needs, such as subscription tiers, purchase frequency, or VIP status, to personalize messaging.

    Example: A subscription-based meal delivery service uses behavioral segmentation to identify customers who order vegetarian meals frequently and have a high purchase frequency. They assign a custom attribute labeled “Vegetarian VIP.”

    Campbell, the Engage AI agent, then sends these customers exclusive early access to new vegetarian menu items through SMS campaigns, boosting engagement and loyalty.

    Real-time event tracking

    Every customer action, whether it’s a click, a purchase, or a chat inquiry, is captured by Plivo’s real-time event tracking. This continuous stream of data feeds into the customer profiles, enriching them and triggering automated campaigns that respond immediately to customer behavior.

    For example, if a customer abandons a shopping cart, Plivo can send an SMS reminder with a special offer to encourage them to complete the purchase.

    AI-driven messaging across channels

    Chat interface displaying two active conversations. Ryan Smith reports a late order; a representative apologizes and offers to check.
    Chat interface displaying two active conversations in Plivo

    Plivo’s AI agents use these rich, unified profiles to deliver personalized, consistent messages across multiple channels, including SMS, WhatsApp, voice, and chat. 

    AI powers automated conversations and outreach that feel natural and data-driven, helping businesses engage customers at the right time with the right message.

    Example: A travel agency tracks user behavior on its booking site. When a customer searches flights but leaves without booking, Campbell automatically triggers an SMS with a limited-time discount offer or a link to travel insurance.

    If the customer responds with questions, Jolie picks up the conversation to provide detailed assistance.

    Automatic campaign triggers

    Plivo monitors customer activity and then sends reminders, onboarding messages, support follow-ups, or promotional offers at precisely the time the customer is most likely to respond.

    Example: A financial services firm uses Plivo AI agents to manage multi-channel communication. When a new user signs up, Campbell sends a WhatsApp welcome message with personalized onboarding tips.

    If the customer calls with questions about loan options, Jolie uses the unified profile to provide instant voice responses or escalates to a human advisor if the issue is complex, maintaining consistent messaging across chat, voice, and SMS.

    Choose Plivo’s AI agents for conversational marketing

    Conversational marketing is crucial for connecting with your customers and keeping them engaged throughout their entire customer journey. To achieve this effectively, businesses need reliable tools that can manage real-time interactions and deliver personalized experiences.

    Plivo works for businesses of any size to convert leads and keep prospects engaged 24/7 with its AI agents. These agents (Sam, Campbell, and Jolie) act as an extension of your team and are always ready to help. Whether it’s bringing back people who left items in their cart, running timely campaigns, or offering real support, these agents handle it all.

    Plus, Plivo’s CDP makes every conversation feel personal, relevant, and consistent without requiring extra work from your team.

    Get started for free today and see how Plivo changes the way you connect with customers.

    Put your customers conversations on auto-pilot

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