Milena Traikovich is a powerhouse in the demand generation sphere, renowned for her ability to transform complex analytics into high-quality lead engines that fuel sustainable growth. With a career built on the foundations of performance optimization and strategic lead initiatives, she possesses a keen eye for the subtle shifts that define market winners. As artificial intelligence continues to reshape the landscape of B2B engagement, Milena argues that the most sophisticated algorithms are no match for the foundational power of human trust. In this discussion, we explore how businesses can navigate the current technological upheaval by focusing on long-term profitability and the personal bonds that truly drive decision-making.
Our conversation centers on the diverging experiences of large corporations and small-to-midsized businesses as they confront the rapid integration of AI into their workflows. We examine the critical role of Customer Lifetime Value (CLV) as a guiding metric for health, providing a clear mathematical framework for determining when a company is on the right course. Milena highlights the pitfalls of over-relying on automated tools, such as AI notetakers, and emphasizes why physical presence and empathy remain the ultimate differentiators. Finally, we break down the evolving B2B buying process, where the volume of necessary interactions is rising, and explain why the success of smaller firms often hinges on their ability to understand client challenges before ever presenting a solution.
When we look at the current market, large corporations seem to be cruising with AI while smaller firms are struggling to stay afloat. How would you describe the different pressures these organizations are facing as they try to maintain their competitive edge?
If you are operating within a large corporation, AI currently feels like a powerful tailwind and a tide that is moving precisely in your direction. These massive entities already have their positioning, competitive differentiation, and reputations firmly tied down, making the transition look like relatively smooth sailing. However, for the small-to-midsized business or those serving that specific marketplace, AI can feel like a maelstrom of Shakespearean proportions. It has the potential to shiver your established positioning and differentiation right down to the timbers, creating a sense of instability. It is a classic struggle where the flood prevails at one moment and the wind at the next, with both forces tugging to be victors without a clear conqueror in sight.
To find a way through this “maelstrom,” you suggest focusing on long-term profitability. How can a business use specific metrics like Customer Lifetime Value to ensure they are heading toward a safe harbor?
The only true North Star in an AI-driven market is long-term profitability, and the key metric to track that is Customer Lifetime Value, or CLV. To understand if you are on the right course, you first calculate your customer lifetime rate by dividing 1 by your churn rate; for instance, if your churn is 5%, your rate is 20. Next, you determine your average sales per account by dividing total sales by the number of customers—so if you have $1,000,000 in sales across 500 customers, your average revenue per account is $2,000. Finally, you multiply that lifetime rate of 20 by the $2,000 average revenue to find a CLV of $40,000 for that period. A robust CLV like this is a visceral indication that your customers trust you with their future, allowing you to zoom in on your ideal customer profile and move away from low-score accounts that leave early and require high maintenance.
We are seeing more businesses use AI notetakers and automated outreach to save time, but you advocate for a more “human” approach. Why is stepping out from behind the technology so vital for trust right now?
While your company might be amazing and your technology brilliant, the reality is that customers primarily care about how you will help them succeed—they are always asking, “What’s in it for me?” Stepping out from behind the software to demonstrate your commitment in person is how you visibly walk the talk in a world full of digital noise. Sending an AI notetaker to a Zoom meeting that you don’t even bother to attend simply does not cut it; it signals a lack of genuine priority and presence. Empathy and gratitude must be more than just discussed; they must be shown through the act of showing up, which says louder than any marketing copy that the client is your priority. These human-to-human bonds are the stepping stones to earning real trust, especially as AI begins to take on a much larger and more sterile role in general marketing efforts.
As AI accelerates the creative velocity of marketing, we are seeing a shift in how many “touches” it takes to get a response. What are the risks of this increased speed for the average B2B buyer?
Marketing is certainly a logical application for AI, but many current implementations are FOMO-driven and lack a concrete business plan or clear metrics. We are seeing the number of touches required to gain a meaningful response steadily climb, moving from a range of 5 to 10 touches up to 10 to 20 touches in the current climate. The real danger here is that while the speed and cost savings of AI are being touted, this creative velocity often muddies competitive differentiation rather than clarifying it. As AI is poured into the 75% of the buying process that occurs before a prospect ever engages with a person, the quality of communication often suffers. Buyers are looking for value and clarity, and if the increased volume of communication doesn’t provide that, it actually creates more turbulence and makes them less ready to engage.
You’ve mentioned that B2B is, and always has been, personal. Can you share a story where a company’s focus on the human element allowed them to beat out much larger, more established competitors?
There is a fantastic example involving “Company A,” a relatively new player in the supply chain management software space that was going up against five much larger, more established firms with impressive track records. Despite the competition having more history, Company A won the bid after making it to the shortlist and responding to the RFP with a different mindset. When the head of the buying committee was asked why they chose the smaller newcomer, the answer was simple: “They were the only ones who wanted to know more about our challenges before they started the demo.” While the other five companies relied on their status and standard presentations, Company A focused on the human-to-human bond by listening first. Like the famous line in Casablanca, this focus on understanding the client’s specific pain points was the beginning of a beautiful, and profitable, relationship.
What is your forecast for the role of trust in B2B marketing over the next few years?
My forecast is that trust will become the only sustainable competitive differentiator as AI-generated content saturates every possible communication channel. We are entering an era where the ability to deliver a human touch will be worth more than the most optimized algorithm, as buyers crave authenticity in a sea of automated “velocity.” Businesses that obsess over their Customer Lifetime Value and prioritize deep, empathetic engagement will see their loyalty rates climb while others get lost in the noise. Ultimately, the winners will be those who use AI to handle the mundane tasks so they can spend more time having the real, difficult, and valuable conversations that a machine simply cannot replicate. High-quality leads will increasingly come from those who prove they are invested in a client’s success long before a contract is ever signed.
