Laura Beussman, CMO and CRO at CallRail – Interview Series

Laura Beussman, Chief Marketing Officer (CMO) and Chief Revenue Officer (CRO) at CallRail, is a seasoned revenue leader who oversees marketing, sales, partnerships and strategic project management at the high-growth PLG company. She leads an expansive go-to-market organisation, having built and managed teams that identify growth opportunities, support new product launches and drive revenue across multiple segments. Her approach centres on developing data-driven leaders and fostering a collaborative, cross-functional culture dedicated to scaling business performance.

CallRail is a call-tracking and lead-conversion platform that helps businesses link marketing campaigns, conversations and customers for better ROI. It allows users to track calls, texts, forms and chats in the same way they track clicks, enabling smarter spend across channels, personalised lead experiences through automation and improved lead-qualification via conversation intelligence. The company integrates with over 700 marketing tools and supports businesses of all sizes in optimising their campaign performance and lead engagement.

You’ve built a remarkable career spanning Dell, Blackbaud, Social Solutions, and now CallRail. How did your journey through these organizations shape your perspective on marketing leadership in the tech sector, and how has your approach evolved over the past 15 years?

Each of the experiences I’ve had throughout my career has helped shape my leadership philosophy in meaningful ways – allowing me to blend the operational rigor with speed and agility.

That journey also shaped my obsession with customer value. Early in my career, I spent time as a vertical marketer in an industry where I had deep expertise with the buyer. As my scope grew, I learned to apply that mentality to more functions and a broader array of industries, focusing on solving real problems for specific customer segments, instead of thinking about marketing as programs and campaigns. The closer a team is to its customers, the more effective and efficient its decision-making becomes.

Another major evolution has been recognizing that leadership impact scales through people, not personal output. As my roles became more senior, I learned to hire for complementary expertise and prioritize people who run into the fire, who figure things out, and who thrive in ambiguity. When you build a reputation as a leader people genuinely want to work for, assembling high-performing teams becomes one of your strongest advantages.

Finally, the rise of AI and automated data analysis has fundamentally reshaped my approach. Today, AI enables us to access real-time, predictive insights that drive far more precise and scalable growth. The teams that outperform are those who embrace these tools early and build processes that can keep pace with the speed of intelligent automation. All of these experiences have contributed to an approach to marketing leadership that is customer-obsessed, people-first, and powered by data and AI.

How is AI transforming marketing operations today, particularly in data-driven decision-making and customer engagement?

AI is transforming marketing operations by delivering insights at a scale and speed that was previously impossible. Marketers have always been data-driven, but AI has unlocked the ability to move beyond simple analysis into instantaneous and predictive intelligence to fuel proactive strategies driven by real time insight.

Today’s marketers have access to an influx of data across customer forms submissions, calls, texts, and more. Previously, synthesizing this data was siloed, requiring marketers to manually analyze insights across every touchpoint. AI has helped bridge this separation, allowing marketers to analyze the entire customer journey in real time, giving a holistic view of which channels, campaigns, and keywords are driving qualified leads.

AI-powered tools like CallRail’s Conversation Intelligence can automatically summarize conversations, accurately tag and qualify leads, and uncover critical insights like caller sentiment and common keywords. These capabilities don’t just save time; they provide instant, actionable intelligence that allow marketers to course-correct campaigns immediately, maximizing ROI in the moment, not weeks later.

AI insights allow marketers to rapidly enhance customer experience through personalization at scale.Following a call, AI solutions, such as the ones provided by CallRail, can pull insights from call transcriptions to automatically recommend personalized follow-ups based on a caller’s interaction, offering timely next steps for each call based on their unique scenario.

Voice AI is also offering marketers new engagement capabilities with assistants like Voice Assist, allowing businesses to interact with customers 24/7 and provide meaningful support like answering questions and scheduling appointments even when offices are closed, eliminating missed calls and maximizing lead capture around the clock.

CallRail is well-known for its voice and conversation intelligence products. How is voice AI changing the customer experience landscape?

Voice AI is changing the customer experience landscape by bridging the gap between customer expectations and a business’s operational capacity.. We live in a world where customer expectations are rising at a rate that businesses are struggling to keep pace with, making initial impressions crucial and missed calls detrimental for businesses. In fact, CallRail research uncovered that 78% of consumers have abandoned a business after an unanswered call.

With demand for immediate and personalized interactions mounting, voice AI allows businesses to offer around-the-clock communication that customers are seeking while also alleviating the financial cost that missed calls have on a business.

AI-powered voice agents, like Voice Assist, allow businesses to move beyond traditional CX capabilities. Voice Assist isn’t just an AI receptionist answering calls; it acts as an extension of a business by pulling from existing content and previous call transcripts to accurately answer questions and provide high-quality service. Intelligent voice AI capabilities enable Voice Assist to understand and adapt to caller tone, allowing it to adjust responses from professional to empathetic and decipher when calls need to be passed to a human agent.

Voice AI’s benefits also extend past the initial call interactions. Automated transcriptions and summaries highlight valuable insights from each call to enable smooth handoffs to human employees and guide automated follow-up messages personalized to each caller.

Voice AI isn’t just changing the CX landscape; it’s helping redefine CX to meet today’s customers where they are.

What are some of the most exciting ways your team is leveraging AI-powered analytics to understand customer intent and behavior?

CallRail’s solution allows our users, including ourselves, to get a deeper view into customer intent and behavior. Our team is leveraging call tracking and conversation intelligence to uncover the sources, keywords, and campaigns driving high-quality leads.

Our AI capabilities allow us to gain intel beyond traditional metrics. Insights from customer conversations were once hidden in unstructured data, like phone calls, but now we’re able to automatically uncover these insights and apply them to our marketing, sales and CX programs.

These insights help  shape how we improve our CX and product offerings on an ongoing basis. With real-time view into the trends our customers care about and any concerns or challenges they’re facing, we’re able to quickly address and adjust to rapidly meet their needs.  This direct feedback loop allows us to prioritize product roadmap changes and resolve CX challenges faster than ever before.

Many marketing teams are experimenting with generative AI for content creation. How do you see AI fitting into content strategy without sacrificing authenticity or brand voice?

Using AI to help inform content strategies is a game-changer, especially for small to medium-sized businesses (SMBs) marketing teams that face budget restraints. We view GenAI not as a replacement, but as a content accelerator. It streamlines the costly, time-consuming parts of the process, allowing businesses to maximize their marketing investment. The key is establishing a clear framework where AI supports the process while humans own the brand.

Before leveraging AI tools, it’s crucial for marketers to establish clear governance and workflow plan.For example, AI tools are great resources to add into the early stages of content development, like assisting with keyword research, generating outlines, and drafting initial versions of content. It’s also incredibly beneficial in the refinement cycle for tasks like tone checks, and identifying grammar or clarity issues.

Marketers using AI tools in their content strategies also need a firm understanding of AI’s limitations. AI’s content output is only as good as the data it’s trained on, meaning data limitations can result in inaccuracies and even opinion biases. Human oversight is a non-negotiable to ensure data is checked, brand guidelines are met, and the final output provides the perspective only a human author can provide.

Marketers who prioritize content strategies that combine the knowledge of AI with their human employees’ marketing expertise and unique ability to create emotional connections with readers will come out on top.

You’ve emphasized team culture and leadership development throughout your career. How do you build a high-performing, AI-literate marketing team that can adapt to rapid technological change?

Building a marketing team that’s AI-fluent starts with the same core principles that help build any high performing team: establishing trust and encouraging a curiosity mindset within your team.

Employees can be skeptical about what the use of AI means for their own roles as well as the learning curve that comes with the technology. We clearly outline where AI automates mundane, repetitive tasks, freeing up employees to focus on more strategic areas. This helps build a foundation of trust. Easing concerns and questions before even introducing AI tools helps employees see them as a resource vs. viewing them as a replacement.

When you have a team that trusts AI, they’re more inclined to want to actually use the technology. This curiosity, paired with frequent AI trainings, helps teams successfully utilize AI tools while also allowing them to keep pace with its rapid advancements.

Alongside training offerings, marketing leaders should encourage their teams to regularly test new AI tools to gain hands-on experience. One way this can be done is through leading by example, with marketing leaders sharing their own wins and learnings with AI deployment.

Establishing an AI-literate team isn’t just about nailing down the technical aspects; it’s also about creating an environment that sparks curiosity and empowers your team to continuously evolve their knowledge and skillsets.

Product-led growth (PLG) has been central to CallRail’s success. How can AI further enhance marketing automation and user acquisition within a PLG model?

AI takes PLG strategies to the next level, making them more intelligent and dynamic. AI can pull critical insights across the user journey – from onboarding to conversion – uncovering valuable patterns on everything from user behavior to pain points.

These insights allow teams to refine their approach. Marketers can uncover the kinds of interactions users are most receptive to, like emails or in-app messages, as well as the type of messaging that will resonate best with them.

Ultimately, integrating AI into PLG ensures marketing resources are deployed with maximum precision. It shifts our focus from broad marketing activities to highly targeted, predictable growth actions that convert users faster and more efficiently.

In your opinion, what’s the biggest misconception about AI in marketing today, and how can CMOs approach it more strategically?

The biggest misconception is the belief that AI is a magic bullet or a ‘set-it-and-forget-it’ system. CMOs often think that investing in a tool instantly solves complex problems, reducing the need for strategic human oversight. In reality, AI requires more governance, not less.

This misconception is immediately apparent in the shift to AI Search. AI-driven searches are replacing traditional keyword-based queries with natural language results and summarized insights. This zero-click environment completely scrambles traditional attribution. If the AI provides an answer without a site visit, how do we prove brand influence and measure ROI? The user journey is condensed, and last-click attribution, which many rely on, becomes obsolete. This isn’t just a new SEO tactic; it’s a fundamental transformation of how customers discover and research brands.

For CMOs, the path forward involves three strategies: First, embrace AI-driven attribution. Move investment away from rigid, click-based models and toward sophisticated, multi-touch algorithmic models that can assign value to non-click interactions. Second, prioritize brand authority. Since AI is trained on high-authority sources, content strategy must focus on expert-led thought leadership that the AI is compelled to reference. Third, institutionalize governance. Implement human oversight and clear workflows to ensure AI output is fact-checked and strategically aligned, recognizing that the human marketer’s role has shifted from execution to governance.

Looking ahead, how do you envision AI reshaping the relationship between brands and customers over the next five years?

AI is already significantly impacting the relationship between brands and customers. The immediate future will be defined by a crucial shift: Personalization at scale will become tablestakes, not the differentiator. As customers’ baseline expectations for immediate, tailored service rise, brands will increasingly turn to AI to meet that demand.

The more automated and personalized service becomes, the more deeply customers will crave authentic, human connection. Person-to-person relationship building will become even more valuable and will be what sets brands apart. Brands won’t move away from using AI in CX, but we’ll instead see their strategies evolve.

Brands will continue to use AI to scale CX processes, but will adopt a hybrid approach. AI will handle the bulk of transaction-focused, routine tasks, and its primary strategic value will be identifying the moments of high-stakes friction or high-value opportunity where human intervention is required. This reclaims human capacity, allowing employees to spend their time creating high-quality, memorable interactions with top leads and prospects.

As someone who has previously participated in Chief, a network for women executives, what advice do you have for women aspiring to leadership roles in AI-driven marketing organizations?

For women aspiring to leadership roles in AI-driven marketing organizations, my first piece of advice is to find an advocate and not just a mentor. Mentors offer guidance, but advocates actively create opportunities, say your name in the rooms you’re not in, and push you toward meaningful growth. That kind of support can be career-defining. Equally important is becoming the leader people want to follow. The best leaders invest deeply in their teams, and when you consistently support, develop, and champion the people around you, you build a positive flywheel: top talent seeks you out, which strengthens your team’s performance and your influence as a leader.

It’s also critical to become an AI architect rather than simply an AI consumer. In an environment where AI is reshaping both marketing strategy and execution, leaders must proactively seek out opportunities to implement AI, deepen their literacy, master prompt design, and take ownership of AI-powered outputs. At the same time, it’s essential to sharpen emotional intelligence. As AI automates more workflows, the uniquely human skills (such as empathy, communication, negotiation, and the ability to build trust) only become more valuable.

Women who combine technical fluency in AI with strong advocacy, people-first leadership, and high emotional intelligence will be exceptionally well positioned to lead the next generation of marketing organizations.

Thank you for the great interview, readers who wish to learn more should visit CallRail.