Conversational AI

Conversational AI

The Future of Conversational AI for Product Marketers

The buzz around OpenAI’s ChatGPT and the surge in experimentation across various generative AI use cases signify the incredible advancements in conversational artificial intelligence (AI).

This innovation is driven by the fusion of foundation models, knowledge graphs, and human-supported reinforcement learning. Over the next three years, these AI techniques will dramatically transform the intelligent capabilities of software and advanced virtual assistants (VA).

As a product marketing professional, it’s important to stay on top of these trends and understand how they can give you a competitive edge. In this blog post, we’ll explore how generative AI and foundation models are shaping the future of conversational AI.

Foundation Models: A Major AI Advancement

Foundation models are one of the most significant advancements in AI technology. These models are created by training a neural network on vast amounts of data, allowing it to learn patterns and make predictions. They represent a major AI advancement and are transforming the intelligent and conversational capabilities of software and advanced virtual assistants (VA).

However, it’s important to note that foundation models should be explored as a potential technology in combination with other AI-developing techniques, such as knowledge graphs and reinforcement learning. As a product marketer, it’s important to explore custom large language models (LLMs) to prepare for organizations’ accelerated acceptance of intelligent software and VA.

Generative AI: Increasing Perception of Intelligence

On the other hand, generative AI is a technique that uses machine learning to generate new data that resembles the training data. It’s a powerful tool that can be used to create content, personalize customer experiences, and even develop AI avatars that can assist with digital and marketing communications.

The use of generative AI will expand in the next two years, and Gartner predicts that generative AI will create more than 30% of marketing content that’s human-augmented by 2025. By incorporating generative AI and foundation models around specific areas and utilizing a Markov decision process-based approach, product leaders can create successful product strategies and gain a competitive edge in the market.

Applications to Multiple Industries and Domains

The use cases for conversational AI are expanding across multiple business domains and industries, from content marketing to new intelligent search options, AI avatars, and decision intelligence. As a product marketing professional, it’s important to examine NLP-related startups to help identify new opportunities for innovation.

It’s predicted that by 2025, more than 50% of advanced virtual assistants (VAs) will be industry-domain-specific, up from less than 25% in 2022. Industry-domain-specific VAs are designed to assist people within a specific domain, such as healthcare, banking, retail, or legal. They can also incorporate fine-tuned, domain-specific language models, prebuilt integration with relevant enterprise applications, and connection with business processes.

The Next Steps for Product Leaders

As a product marketer, it’s essential to understand the challenges and opportunities associated with these emerging technologies.

Accelerating your solutions toward becoming more generative AI-enabled, complementary to existing search solutions, and enabling real-time neural machine translation is crucial. Additionally, humanizing internal and customer communications with AI avatars based on text-to-video generative AI technology is an area of significant opportunity. To elevate the business value of emerging technologies like conversational AI and advanced VAs, technology providers can uncover a promising future.


4 Ways Generative AI Can Help Marketers Make an Impact

Generative AI

AI is coming for creative work—and that’s ok. In 2023, generative AI is at the top of every marketer’s mind as people experiment with tools like ChatGPT. We see them produce increasingly convincing copy with just a prompt and the push of a button, and we wonder how that will scale, what possibilities it brings to the table, and who it might replace.
People are expressing equal parts anxiety and excitement. Both are understandable. We don’t yet know the full implications of this technology, and it will only accelerate from here. According to Grand View Research, the global market for generative AI will expand from $8 billion in 2021 to almost $110 billion in 2030. Gartner predicts that by 2025, 30% of outbound messages from large organizations will be synthetically generated.
Like every technological revolution, generative AI will produce new kinds of work and new ways to win. The challenge is knowing how to adapt.

What is generative AI?

Text-based generative AI tools leverage natural language processing to produce fresh content. They don’t just analyze existing information to build analytical or predictive models like their cousins in big data. Instead, their algorithms assemble text according to the conventions of standard formats: scripts, blog posts, technical reports, essays for higher education, conversations with long-dead historical figures, and the list goes on. Think of them as extremely advanced versions of the predictive text that’s common on mobile devices and word processors.

Generative AI depends on self-supervised learning. The “GPT” in ChatGPT, the most prominent of these tools, stands for “generative pre-trained transformer.” That gives you an idea of how it works. Its underlying model trains on immense swathes of text drawn from web archives until it can generate reliable predictions for conventional language models.

It’s important to remember that ChatGPT doesn’t build responses by searching the internet in real time. Instead, it uses its predictive language model to emulate how humans typically discuss a topic. That’s an important distinction as you consider where it can provide value.

Four ways to apply generative AI in marketing

While the most obvious use case for generative AI tools might be customer-facing copy, there are internal applications as well. Within the marketing discipline, it has potential across content creation, CRM and CS, knowledge management, and strategy.

Your writers have a new co-author

Generative AI holds enormous potential for content marketing when it comes to both volume and adaptability. The first and most obvious application is saving time. While it isn’t up to most agencies’ standards for final, customer-facing copy, it’s certainly useful for providing inspiration or helping with edits and iterations.

Generative AI also sidesteps the tedium of producing high-volume text variations for PPC campaigns, A/B testing, or personalization across segmented audiences. Encourage your writers to start ideating through experimentation, iterating on creative prompts, and automating how they break their copy down into different formats and specifications.


A quantum leap for conversational marketing


Generative AI represents a watershed for conversational marketing and direct customer engagement. As conversational generalists, ChatGPT and other out-of-the-box generative AI tools aren’t typically equipped to go deep on product. But through APIs, dev teams can connect these tools to accurate, relevant company information, then present it in a customer-facing forum.


Companies like Got It AI are adapting existing language models like ChatGPT’s to create experiences tailored for conversational marketing and customer service. They work by connecting to your existing knowledge base to field customer inquiries. They also learn from past conversations to build better and smarter dialogue paths. While many businesses are jumping on the customer service possibilities, we see the potential for more intelligent and compelling first-touch engagement.


Accelerate learning experiences


Internal professional development and upskilling take time, effort, and investment. Generative AI can ease that burden by simplifying and distilling concepts down to a consumable scale. It’s important to remember that ChatGPT doesn’t search for up-to-date information on the real-time internet. It’s explicitly a predictive language tool—no more, no less. Don’t expect it to encapsulate the latest information or discussions on a topic.


Using extensions like Summarize, you can easily pull out the key information from lengthy web pages or articles. The results will need oversight and editing from subject matter experts, but the labour of condensing and summarization is already done. Rinse, repeat, and you have the foundations for a rapid-deployment knowledge base.


Inform strategy through summary


Strategists and thought leaders can also build actionable insights using generative AI tools. As long as your researcher has a strong grasp of reliable sources, they can quickly navigate from McKinsey to Gartner to PWC to any number of research firms and pull out key insights through generative AI summary tools.


To start, experiment with breadth and depth approaches:

  • Input comprehensive trend reports from several different research firms and have the tool summarize each. Aggregate those summaries, then look for common trends that stand out.
  • Find and input research on a single topic across different providers. Conduct a meta-analysis of their summaries to sift the signal from the noise


What does generative AI mean for marketing professionals?


Technological inflection points disrupt industries. Refuse to accept that reality at your peril. But that doesn’t mean we need to be fearful. Even within the generations that make up the current workforce, we’ve seen several new technologies rise to prominence—ubiquitous home computing, the internet, smartphones, big data. Remember that new technologies don’t eliminate jobs. They evolve them.


Keep two things in mind as you plan your next moves. First, these tools work best in close collaboration with humans. Writing for Harvard Business Review, authors and AI experts Thomas Davenport and Nitin Mittal share that using AI effectively requires human attention at both the beginning and the end of the process. You might begin to think of writers and subject matter experts as content coordinators or curators rather than creators. Second, conduct any implementation thoughtfully, strategically, and with a firm understanding of your goals and the technology’s capabilities. Ask yourself some key questions:


What does this technology simply augment? Where is it a true disruptor?


Which use cases will be most helpful for our business and our clients? How do we decide that?


What can we put in place to maintain compliance and trust?


Moving forward with generative AI


As the technology grows and providers react to business needs, use cases will become clearer. Models will improve their output and humanlike qualities. Their polish will elevate from first draft to final. At the same time, API availability and specialized models mean that business-specific iterations of this technology will get more granular. We already see that pattern at work with Jasper, a marketing-oriented generative AI platform.


Finally, after Microsoft acquired ChatGPT’s developer OpenAI, the tech giant recently announced their AI-powered Bing and Edge. Microsoft calls them “your co-pilot for the web,” claiming they will lead to better search, more complete answers from sources across the web, a new chat experience, and more. Not to be outdone, Google revealed Bard—one day before Microsoft’s announcement. In addition to more intelligent searches and fact-finding, Google highlights Bard’s potential for supporting developers by creating tools they can use to design innovative applications with AI.


Moves like these have taken generative AI from a purely predictive language tool into active, AI-driven research, discovery, and development. Results have been mixed, but the technology is well on its way to accurate, active engagement with real-world knowledge. Now is the moment to prepare your business for the generative AI marketing revolution. Start experimenting, get comfortable with the technology, and explore its benefits and vulnerabilities. Encourage your people to do the same. Reward thoughtful exploration and build process around wins. It’s never clear how new technology will evolve your business, but one thing is certain: ignoring it is not an option.

5 Award-Winning B2B Marketing Campaigns from Intercept

With the 2022 CMA awards wrapped up, it’s official – Intercept is the most awarded B2B agency in Canada.

Our team accepted 13 awards, accounting for more than 70% of the overall B2B marketing categories. Congratulations to Intuit, TELUS Business, Kinaxis, and Community Savings Credit Union for also demonstrating best-in-class B2B marketing.

Here are five of our winning campaigns and how we approached the challenges to drive measurable business impact.

Winning Campaign #1

Into the Breach’

Microsoft needed to break through in the market with their state-of-the-art, cybersecurity solutions for businesses. We created an experience for security teams leveraging an “Into the Breach” video game style execution where teams identified attacks and fixed them using Microsoft cybersecurity tools.

Because marketing security solutions are generally whitepapers, industry reports, and eBooks – Into the Breach was in a league of its own. We took a calculated risk to do something breakthrough and succeeded. 

Winning Campaign #2

DevBuilder

Microsoft wanted developers to choose their tools and technology to build new business applications. The challenge was successfully connecting with developers who were experiencing high levels of burnout and low levels of engagement. We launched “DevBuilder” to offer developers personalized support from Microsoft that would build culture, skills, and solutions. This initiative connected developer teams while building their skills, vision, experience, and applications faster. DevBuilder set a new global standard by ranking first in the world within Microsoft, for the most highly engaged developer teams at strategic accounts.

Winning Campaign #3

‘Surface Pitch Perfect’ 

Microsoft had to close the gap on Surface revenue while empowering sales teams to best pitch 10 different Surface devices. While innovation and device breadth are strengths, multiple device options were starting to create confusion among Microsoft’s sales reps. There was hesitation from sales as device value propositions began to blur.

Sales teams needed more than just information to succeed – they needed practical guidance on how to land a pitch to customers. To meet this need, we invited partner sales reps to a 3-minute ($500!) pitch competition selling multiple Surface devices to a panel of Microsoft judges.  We earned the attention of busy sales reps by appealing to their competitive nature and preference for easy-to-understand programs.

Winning Campaign #4

‘Align in the Metaverse’

As pandemic concerns loomed, Microsoft needed to virtually bring together Channel Ambassadors from Canada and the US while combatting serious webinar fatigue. Webinar attendance benchmark rates told us to expect less than 40% – but Microsoft wanted to land 75% live attendance. How did we encourage Channel Ambassadors to attend this important event live? We hosted the event on a private island – in the metaverse! Participants enjoyed live keynotes, personalized breakout paths, team building activities like scavenger hunts, charades, and even boat racing.

The metaverse experience was genuinely unique. We saw overwhelming engagement from the Channel Ambassador community – more questions, more best-practice sharing, and more people having fun.

Winning Campaign #5

Innovation Mavericks’ 

Microsoft is known as the tech company for ‘big businesses’ but they wanted to get small businesses running on their cloud solution, Azure. Microsoft built a 30-person team of field sellers to win SMB customers but needed a smart marketing strategy to generate high-quality leads. To reach this new SMB audience, we launched Innovation Mavericks to provide high-growth companies with funding, tools, experts, and offers to turn their visions into breakthroughs.

In our first year, we helped nearly 100 businesses identify innovation roadblocks, offered strategic business and technology mentoring, and provided access to innovation investments.

Staying ahead of change and creating campaigns that drive results starts with data-driven insights. Our annual study, Nology, keeps us and our clients plugged into the latest B2B marketing trends in the global tech sector.

Want to learn more about B2B marketing best practices? Request a free Nology session with us for practical insights to guide your campaign strategies.

The Importance of Customer Experience in B2B Marketing

The Three Elements of a CX State of Mind 

Marketers know that we are living in the experience economy. It’s a shift that has been happening for more than 20 years – since Starbucks gave us comfy seats in which to drink our coffee and Apple changed the way we think and feel about electronics. Today, customers demand more than simply good value. They want a memorable experience surrounding them before and after they make their purchase. They expect more.     

A report by PwC found that 65% of customers are more influenced by a positive experience with a brand than they are with a slick and savvy marketing campaign. Forty-two percent say they are willing to pay more for a great experience. Certainly, this is true about customer experience in the context of B2C. A great experience builds loyalty, inspires word of mouth, and generates social media buzz. Only lately have companies begun to realize that customer experience (CX) is equally vital to B2B. 

Think of it this way 

If a customer has a negative experience with a consumer brand and ultimately leaves, that company may lose one or a handful of customers. It’s not good for business, but the impact is relatively small. In contrast, losing a B2B customer is a big deal. Acquisition costs are higher, sales cycles are longer, and the lifetime value of each customer is much larger. Losing one B2B customer to a negative experience could have huge consequences across the entire organization.   

What does CX mean for B2B? 

Always ready to jump on a trend, B2B marketers have begun to think more about CX. With the combination of technology and customer data at their fingertips, they can more effectively target prospective customers, providing timely and relevant offers at the right time. But does that qualify as CX? Maybe, but it’s only the beginning.   

According to SAP, 80% of CEOs think their organizations provide excellent CX. Unfortunately, only 8% of customers agree. The disconnect indicates that companies don’t really understand what CX means in a B2B world. Personalized content marketing is just scratching the surface. CX is about solving problems, satisfying a need for information, and ultimately being helpful in every interaction with your company. Within the buyer’s journey, that means building mental availability [LINK to Long Game Demand Gen Blog] at the awareness stage, delivering a steady diet of informative content tailored to every role on the buying committee, and leveraging intent to provide timely outreach.    

Three elements make CX possible 

B2B marketing teams can adopt a CX state of mind and excel at creating CX. Creating the environment to do so requires three elements that you may already have in your organization today – the right marketing technology, team-based processes, and the deep knowledge of your people. 

Martech makes it all work 

According to the now famous Marketing Technology Landscape supergraphic, more than 8,000 marketing technology tools were available in 2020. A new study puts that number at over 9,500 in 2022. Marketers are collecting more data on all aspects of the buyers’ journey than ever before. Yet, most marketers aren’t satisfied with their data, and wonder if they are leveraging it fully. That’s because there are too many questions about data quality and too many sources of data to manage.     

Employing a customer data platform (CDP) ensures that customer data lives in one place and is accessible to other systems. CDPs pull data from other platforms, combining it to create a single customer profile and use predictive technologies to spot buyer intent and anticipate customer needs that mere humans may not detect. As CDPs mature, they are leveraging AI and machine learning to clean data as it is pulled in, addressing that other martech data problem – quality. Without it, making decisions based on CDP insights is a tough sell. However, with unified customer data and a well-designed martech stack, marketing teams can use the insights to design positive customer experiences.   

Processes allow ideas to flow 

Now you have the data and the insights. How do you use them to build a better experience for your prospects and customers? Many companies and marketing teams are still working in siloes and rigid roles (think social media manager, demand gen marketer, customer marketer.) Everyone has their specialty, and everyone has their own objectives. That kind of structure makes it very difficult for marketing teams to keep up with the fast pace and rapid change of modern business.   

The CX state of mind requires rapid innovation and feedback from sources, sometimes beyond the marketing team. Sales, marketing, customer success, and product all need to work together to make CX a reality. Think about it like a basketball team. Each player has individual strengths that you can leverage to beat your opponent. As you play the game, players may be substituted on and off the court as they are needed to lend their particular expertise to the game. The basketball model is much like the non-linear workflow modern companies use to improve their speed and agility. In other words, the siloes need to be removed to allow for more cross-functional collaboration. People across your organization have unique perspectives and ideas about CX. Removing the barriers to working together encourages them to be innovative.  

People make the real difference  

While martech helps identify opportunities for improving CX and the right processes set teams up with the agility and speed they need, one more critical piece is sometimes overlooked. People are the richest source of customer data available to your organization. Therefore, in an organization’s quest to be CX-focused, people need to be encouraged and empowered to think the same way.  

Help them do what they do best by ensuring that marketing teams have the tools and processes they need. Give them the power to be creative and encourage the development of new skills that ultimately evolve into new roles and organizational capabilities. Most importantly, give people a voice in designing the customer experience – because they know your customers best.    

CX drives growth 

Customer experience was once regarded as the territory of consumer products and services. That’s no longer the case, and B2B companies are waking up to the idea that making customers feel special can also extend to B2B relationships. The good news is that the three elements necessary for executing on a CX mindset may already be present in your organization. A well-designed tech stack, a capabilities-based model for structuring teams, and employees empowered to use their knowledge can come together to build something special. The experiences they create will consistently delight your customers at every turn – building loyalty, advocacy, and driving growth.

Playing the Long Game to Win at Demand Gen

As many frustrated marketers already know, demand gen just doesn’t seem to work the way it used to anymore. Fewer prospects are willing to give up their contact information to download a piece of content. The ones willing to fill out your forms aren’t always ready – or aren’t at the right level – to talk to a sales rep. The whole process of qualifying leads is turning on its head, and traditional lead gen campaigns simply aren’t delivering at the pace you need them to. It could be that you need a new approach.  

The game has changed 

According to one survey, 95% of marketers still expect to see positive results from their demand gen campaign within the first two weeks. The vast majority of them will be disappointed to find that effective demand gen takes much longer than that. That’s because while the buyer’s journey itself may not have changed, the people involved and their expectations for navigating the process are very different.  

Prospects expect personalized experiences, and they expect access to as much information as they want, whenever they want it. They want to research anonymously but still have access to interactive experiences like the conversational marketing delivered by platforms such as Drift. As a demand gen marketer, you need to update your strategy to stay in the game.   

Most of your prospects aren’t ready 

There is evidence of this in the 95-5 rule, which says that at any given time, only 5% of the available market is ready to buy at any given time. That means that 95% of your market is still out there, researching and learning, with no intention of purchasing your products or services right now. Someday they may be in the market, but today is not the day. This is where traditional demand gen fails – by assuming that marketers can persuade anyone in the 95% into a buying decision at any time.  

Buyers move themselves 

We can’t talk about the 95-5 rule without discussing the concepts of mental availability and anonymous buyers. Mental availability refers to the amount of space your company takes up in the minds of your potential buyers. It is about being known before and being remembered when they come into the market. Here’s an example from a report published by LinkedIn and Ehrenburg-Bass Institute.  

Buyers in the market for a new financial service only considered on average 1.7 providers. 47% didn’t shop around and went straight to their current provider. Of those who claimed to have shopped around, 75% ended up buying from their existing bank. 

Mental availability, or situational awareness, is what ensures that a buyer thinks of your company first before they consider any others. Developing and supporting mental availability is one of the strategies you can use to improve demand gen. Changing the way you think about who your prospects are is another.   

The value of anonymity 

In every organization, there is a group of buyers that marketers usually leave untouched. They are the ones who want to learn about your products and services and may even have some influence in making the purchasing decisions. However, they will never raise their hands to tell you who they are (unless using a fake email address) and will never be ready to speak to a sales rep. They are the Anonymous Buyers.  

How do you reach people to let them know who you are when they don’t let you know who they are? How do you market to the 95% of people who are not yet ready to buy, alongside the 5% who are? Bringing brand into your demand gen strategy is the best place to start.  

Three keys to being memorable 

Increasing your reach means being visible to everyone who could be a potential buyer within your category. Find all the use cases and buyer personas relevant to your industry. Leverage your sales and customer success teams as resources for this kind of information. Develop messaging to support each use case. Then, create content that reinforces your brand and builds mental availability for later. Tailor your content to the various personas on the buying committee. Even the ones that may not be directly involved in the decision-making.    

The demand generation is no longer the game of quick wins that it used to be. In fact, it hasn’t been for quite some time. Marketers have just assumed that their execution is off. The reality is that your strategy is the problem.  

Shift your thinking from qualifying leads quickly to developing qualified leads over time. Put effort into the long game of strengthening your brand and delivering personalized content experiences to capture the hearts and minds. You’ll see the rewards – using targeted, account-based strategies and intent data – when more prospects who are ready to buy think of your company before your competitors.  

Best Practices for new demand gen campaigns 

  • Aim for category-level visibility to get into the hearts and minds of people before they are ready to buy.  
  • Identify all of the potential use cases relevant to your target industries.
  • Get to know all of the personas on the buying committee and adapt your content for each role.  
  • Deliver a connected, personalized content experience and follow up each piece of content with more content. Conversational marketing is a great way to facilitate this.  
  • Leverage intent data to know when a buying decision is imminent and follow up accordingly.  

We accelerate lead generation using a modern strategy that targets prospects early, making companies memorable when it counts the most. From finding anonymous buyers within organizations to designing prospect nurture journeys and developing engaging content that satisfies their unique needs for knowledge – we can help you win the demand gen game.