Today’s customers expect quick, personalized interactions with companies: immediate responses to support requests, personalized product recommendations based on past purchases, and seamless interactions with team members across multiple communication channels.

One way to meet these expectations?

Conversational Marketing.

As the name suggests, conversational marketing wins over customers through a two-way, real-time dialogue between businesses and consumers.

Read on to learn more about conversational marketing: what it means, how it will benefit your company, and how to implement a conversational marketing strategy.

 

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What Is Conversational Marketing?

Conversational marketing is a customer engagement strategy where consumers and businesses connect via highly personalized, real-time interactions that closely mimic the fluidity and ease of natural conversation.

These conversations can be proactive (initiated by the business) or reactive (initiated by the consumer).

While the term Conversational Marketing refers to any type of two-way communication, including email and telephone, chat messaging is the most commonly used form.

As such, most conversational marketing interactions begin with a pop-up instant chatbot message in the corner of a website page, mobile application, or third-party messaging platform.

The goal of conversational marketing is to anticipate, understand, and respond to consumer needs throughout the customer journey, guiding the customer through the sales funnel.

Conversational marketing is used to:

  • Recommend products or services
  • Qualify and convert leads
  • Create and maintain customer relationships
  • Improve customer experience
  • Speed up sales cycles
  • Collect visitor, customer, and target market data
  • Respond to some customer service issues

 

 

Conversational Marketing vs Traditional Marketing

Traditional marketing approaches are all about making a sale–any sale, to anyone, at any time, and as quickly as possible.

Yes, familiar marketing strategies like cold calling, print and television advertising, and online ads cast a wide net. However, they also waste an enormous amount of time and company resources “pitching” to people that may not need or even want what they’re offering.

Traditional marketing extends the sales process and requires the customer to do most of the work to get what they need–consumers have to visit the business website, find and fill out the lead form, wait for a response, follow up, schedule a sales meeting, then possibly make a purchase.

Standard marketing techniques and the transactions they generate aren’t personal, and they don’t make the customer feel valued. In short, they’re company-centric.

 

Conversational Marketing is Customer-Focused

Conversational marketing, on the other hand, puts the customer front and center. Using both live chat and automated AI-based chatbots, businesses get to know the customer on a deeper level, making individualized product or service recommendations only once they know what the customer is looking for, and they connect customers with the agents most qualified to assist them.

Relationship-based marketing doesn’t only benefit customers–it also takes an enormous workload off of sales and support teams.

Customers can express their problems, get answers, provide information to chatbots, and receive recommendations 24/7/365. Sales teams then wake up to segmented, pre-qualified leads and potential customers, and have little “busy work” since conversational AI automates routine marketing outreach, data recording, and customer support.

In short?

Conversational marketing does not entirely replace traditional marketing efforts, but instead makes them much more efficient–while satisfying customer expectations for round-the-clock engagement.

 

Automated Chatbots vs. Live Agents in Conversational Marketing

A company can facilitate its chat messaging using automated AI technology (chatbots), live agents, or a combination of the two. Both methods can chat through the company website, SMS text messaging, or social media applications.

Chatbots and live chats play critical roles in a balanced conversational marketing strategy, each with distinct strengths.

Live agents offer a personalized, convenient support option that can help customers with complicated or high-security issues. However, it’s not always feasible to staff a live agent contact center 24/7.

Enter the VIP of the conversational marketing world: automated chatbots.

 

Chatbots: Automated AI Conversation Software

Chatbots are automated instant-messaging software-based programs that aim to produce real-time conversations between consumers and businesses through company websites, SMS, or social media accounts.

Chatbots Example

Several years ago, chatbots interacted in a clunky, unnatural style. But today’s chatbots use natural language understanding (NLU) technology for nuanced, responsive conversation.

Today’s chatbots can:

  • Leverage artificial intelligence (AI) to respond to more natural, varied language for meaningful conversations
  • Provide programmed responses according to keyword triggers or customer input
  • Use machine learning to improve based on previous conversations
  • Chat across multiple communication channels (phone, computer, email, social media)
  • Integrate with third-party communication tools (CRM systems, knowledge bases, etc.)
  • Route customers to the appropriate live team member
  • Record, organize, and analyze visitor and customer data, including website journey, contact preferences, and company information

 

They provide 24/7/365 conversational and inbound marketing opportunities, and general customer service/support, keeping human agents free to work on more complex and critical issues.

Chatbots serve many company roles previously occupied by humans:

  • Answering FAQs
  • Helping navigate websites or apps
  • Gathering feedback or giving surveys
  • Subscribing customers to a newsletter
  • Opting in or out of SMS automated systems
  • Lead generation, qualification, and management
  • Routing customers to the correct agents
  • Booking demos and appointments
  • Promoting products

 

A word of caution on chatbot use: because they’re automated, they can only assist consumers with the limited issues they’ve been programmed to manage–anything outside of that is beyond their scope.

Rely on chatbots for simpler, routine tasks, reserving complicated interactions for live agents.

 

Live Chat Agents

Live chat agents are customer service and sales reps who interact directly with customers via chat messaging to answer questions, make offers, and provide support.

Currently, live-chat messaging is the most commonly used method of customer support.

Apple Live Chat

Live chat agents can:

  • Make customized recommendations for products or plans
  • Solve complicated user problems
  • Answer questions
  • Ask follow-up questions to better understand the user’s experience
  • Build rapport

 

Many companies offer live chat services integrated with various popular messaging apps and platforms, including Facebook Messenger, Twitter, Zoom, SMS texting, WhatsApp, and others.

 

The Top Benefits of Conversational Marketing

Below, we’ll outline a few of the biggest advantages of using conversational marketing.

 

Efficient Customer-Support Resolution

Customers want their questions and concerns answered as quickly as possible.

46% of consumers get frustrated when business websites lack basic information like company location and hours, or can’t provide immediate answers.

These pain points harm not only customer morale but company morale, as team members must spend extra time answering or asking redundant questions and appeasing frustrated customers.

Conversational marketing offers proactive customer support, providing 24/7 customer self-service through websites and multichannel chatbots, routing to live conversational agents only as needed. Live agents can deal with a limited number of customers at once, but automated chatbots can help 100,000 frustrated users simultaneously accomplish a variety of tasks: book appointments, refill orders, make purchases, and get answers.

To outpace your competitors and improve team morale, rely on conversational marketing to meet customer expectations for efficient query resolution.

 

Personalized Customer Interactions

Customers want a personalized experience interacting with a company, ranking open, friendly communication as one of the top 5 factors influencing their purchasing decisions and loyalty.

Natural language technology (NLT) combines machine learning and linguistics so automated systems like chatbots and IVR can understand customer language using keywords, responding to specific needs and expanding their understanding capabilities constantly.

Sephora Recommendation

Live chat agents increase personalization further, as agents can respond to spontaneous customer issues with empathy, concern, and commitment.

By allowing the consumer to ask questions, express issues, and receive individualized solutions, conversational marketing bridges the gap between efficiency and personalization.

 

Increased Consumer Spending and Lower Operating Costs

Increased consumer spending with lower operating costs means greater sales revenue.

Chatbots and live chat help companies achieve just this.

Chatbots, capable of dealing with unlimited numbers of customers at once, free agents to work with more qualified leads. AI conversational marketing capabilities like customer subscription signup, automated reminders and updates, and order and purchase processing expedite the sales and order process, generating more sales quickly and with less live-agent involvement.

Most contact center or unified communications providers charge a monthly rate to use chatbot software or conversational marketing platforms, meaning you can serve as many customers as you want–at any time of day–without incurring extra costs.

 

Effective Lead Management and Shorter Sales Cycles

How do high-performing companies convert more than twice as many leads as their competitors?

Lead nurturing: strategically progressing leads through the sales funnel, reinforcing relationships at every stage of the process, ultimately turning them into paying customers.

AI-automated chat technology facilitates the lead-nurturing process by quickening follow-up time and automating many parts of the contact and relationship-building process.

  • Chatbots respond to customer queries in seconds
  • Email marketing campaigns send customers personalized discounts and coupons
  • Automated texts address customers by name, announcing new promotions
  • Live agents use AI-gathered customer info to call customers at the right time and offer the right deal

 

Conversational marketing improves every part of the lead nurturing process.

 

Intuitive Customer Usability

Today’s consumers intuitively engage with automated and live messaging interfaces, because they use these channels all the time socially and because NLU has become lifelike.

Chat systems integrate with social media applications already familiar to customers–Twitter, Facebook, Instagram–as well as SMS.

Automations and live chat feature built-in translation, text-to-voice, and media attachment capabilities, so companies can market to customers around the world without language barriers.

 

How to Create a Conversational Marketing Strategy

Here's how to get your company’s own conversational marketing strategy up and running.

 

Step 1: Determine Communication Channels 

While chatbots and live chat agents are popular and effective conversational marketing channels, multichannel marketing campaigns utilize multiple channels to maximize open rates while providing choice and variety.

Conversational marketing communication channel options:

  • Chatbots
  • Live chat
  • Social media
  • SMS texting
  • Email
  • Video
  • Voice

 

Each of these channels provides options for back-and-forth conversation between company and customer, going beyond traditional marketing toward conversational marketing.

Many contact center inboxes unify multiple channels into an omnichannel interface, so agents can easily interact with customers across channels simultaneously.

 

Step 2: Place and Sequence Channels for Lead Nurturing

Considering audience contact touchpoints on your website and application, outline a general sequence assigning each channel's role and placement within your conversational marketing campaign.

 

Sample Channel Sequence

Channel Lead Nurturing Function
Chatbot
  • Lead magnet
  • Gather information
  • Qualify leads
  • Newsletter signup
  • Demo booking
Email
  • Welcome message
  • Email discount after one week
  • Responding to customer emails
SMS Text
  • Announcement with link to newly stocked products
  • Product ordering
Live agent chat
  • Follow up on all chatbot-forwarded conversations
  • Live sales on website
Voice
  • Qualified lead follow up
  • Demo follow up

 

Many contact center providers, like Zendesk and Intercom, offer outbound marketing campaign flow tools, where you can outline and visualize all possible customer journeys through your lead nurturing sequence.

Multichannel Campaign Flow

 

Step 3: Personalize Your Channels

Personalized means that automated and in-person customer interactions must be individualized and timely.

You can individualize your outbound messages with CRM integrations to utilize customer data and message templates with auto fill-in.

Many contact center providers offer email, chatbot, and text-messaging templates, or you can create your own. When sent automatically or in bulk, these templates auto-populate with customer information:

  • Name
  • Company
  • Most recent contact, activity, or order

Even though these messages are automated, addressing customers directly adds a personal tone.

To achieve timeliness, utilize triggers and automation rules. These IF-THEN sequences, which administrators can customize in your contact center’s Settings menu, set automated action sequences that occur when customer actions meet time- or action-based criteria.

Trigger Rules (Action-Based) Automation Rules (Time-Based)
IF THEN IF THEN
Customer gets tagged as a “qualified lead” Add as a ticket to agent inbox Customer abandons cart for 2 hours Send abandoned cart SMS
Website visitor subscribes to newsletter Send welcome email Customer signed up 3 days ago Send new customer discount email
Customer replies to email Add as a ticket to agent inbox Customer viewed demo 24 hours ago Add as a ticket in agent inbox
Customer makes a product order Send SMS order summary Customer stays on the product page for 5 minutes Chatbob widget pop up prompting for help

 

Conversational Marketing Examples

Here are some of our favorite real-world examples of conversational marketing.

 

Example 1: Automated Chat Order System with Domino’s Pizza

Dom, the Domino’s Pizza bot, does the following:

  • Displays the Domino’s menu
  • Takes your order
  • Lets you customize order options
  • Offers products, coupons, and discounts
  • Provides various payment options
  • Facilitates payment

 

Live Chat Conversation

Customers interact with Dom through prescribed menu-item buttons, rather than an open chat box. This ensures that Dom always understands customer selections.

Dom markets Domino's products in multiple ways–order menu, company promos, coupons, payment–using images, a friendly conversational tone, and interactivity. 

By processing and customizing a customer’s order, Dom achieves all the marketing and transactional items that a live agent would.

 

Example 2: Automated and Live-Agent Product Recommendation with Sephora Beauty Products

Sephora, a personal care and beauty products retailer, offers online chat with beauty advisors 7 days a week, from 3 a.m. to 9 p.m. Pacific time, on the company website.

 

Sephora’s strategy combines chatbots and live agents to:

  • Determine your problem and reason for visiting the website
  • Prompt for elaboration
  • Route you to a suited agent
  • Provide customized product recommendations
  • Promote sales and discounts
  • Administer a survey

 

19 Sephora Chat Sequence

Sephora demonstrates how conversational marketing can sequence automated chatbots and live agents, optimizing the balance between efficiency and personalization.

The chatbot gathers my information, my reason for logging into the website, and routes me to a live agent who provides a customized product recommendation. Ending this interaction triggers an automatic survey, capping a conversational marketing sequence that accomplishes a lot while using agent effort sparingly.

 

Example 3: Automated Gym Service Recommendation with Fiticket Fitness Pass

Fiticket, which provides users a fitness pass to access multiple gyms and classes, offers a thorough chatbot that learns customer preferences to generate informed recommendations.

 

Fiticket’s bot does the following:

  • Gathers interaction history
  • Qualifies you as a lead
  • Learns your favorite activities and daily workout schedule
  • Records your location
  • Gathers contact information
  • Routes you to an agent

Chatbot Conversational Marketing

Without agent involvement, Fiticket’s bot gathers contact information, workout preferences, lead qualification status, and routes you to an agent. 

Agents can use this information to find relevant gyms and programs before calling you, leading to a more personalized, efficient conversation for agents and customers.

 

Conversational Marketing FAQs

Below, we've answered the most commonly asked questions about conversational marketing.