Anastasia Braitsik is a powerhouse in the digital marketing landscape, renowned for her ability to decode complex data analytics into actionable, human-centric strategies. In an era where inboxes are more crowded than ever, she has championed the shift from transactional blasts to deeply personal, AI-driven engagement. As we navigate the current marketing climate of 2026, her insights provide a roadmap for brands looking to move beyond the “numbers game” and foster genuine loyalty. Today, she joins us to discuss the evolving role of technology in reclaiming the human side of digital communication and why the most successful campaigns now prioritize context over simple reach.
The conversation explores the dramatic financial returns seen by early AI adopters, the operational shift toward automated quality assurance and segmentation, and the changing landscape of consumer trust. We also dive into how AI acts as an inbox intermediary, necessitating a total overhaul of how marketers measure success through metrics like lifetime value and cross-channel impact.
How has the integration of advanced AI changed the financial reality of email marketing, and why are we seeing such a massive return on investment for those who embrace it?
The financial impact is no longer theoretical; it is a measurable competitive advantage that is widening the gap between brands. According to recent data, advanced AI adopters are now 75% more likely to see their email campaigns produce a return on investment of $45 or more for every $1 spent. This massive return happens because we are moving away from the “one-size-fits-all” approach that used to lead to high unsubscribe rates and wasted spend. When an email feels like it was written specifically for the person reading it—arriving at the exact moment they are most likely to engage—the conversion rates naturally skyrocket. It turns the email from a digital flyer into a valuable service, which is why the ROI is reaching these unprecedented heights.
With nearly eighty percent of marketing teams rushing to produce emails in three days or less, how can AI help creators step away from the assembly line and back into the art of storytelling?
The current pace of production is staggering, with 76% of marketing teams forced to churn out emails in three days or fewer, which often leaves zero room for creativity or testing. AI serves as a critical release valve by handling the routine, repetitive tasks like automating quality assurance and ensuring emails display perfectly across every possible device. This technology allows teams to reclaim their “breathing room,” shifting their focus from the mechanics of assembly to the nuance of brand voice and message. When a machine handles the smarter consumer segments and content variations, the human marketer is finally free to spend time refining the emotional core of a campaign. It’s about using technology to handle the “what” and the “how,” so people can focus on the “why” of every message.
Moving beyond basic list management, how does AI allow brands to transition from knowing a subscriber’s name to truly understanding their real-time behavior?
We are seeing a major shift where 37% of marketers expect AI to handle up to half of their operations by the end of this year, and that percentage is only growing. Traditional personalization was stagnant, often stopping at a first name or a general location, but AI allows us to analyze behavior in real time to trigger automated sequences that adapt as the customer moves. This means we can personalize everything from the tone of the copy to specific product recommendations based on what a person does, rather than just who they are. By optimizing send times around individual subscriber habits, we move from managing a list to nurturing a unique relationship with every person. It’s a level of customer understanding that was simply impossible to achieve at scale before these tools became mainstream.
There is a lot of debate regarding consumer trust and AI-generated content; what does the data tell us about how different generations perceive authorship in their inbox?
The perception of AI is far more nuanced than the “man vs. machine” myth suggests, and it really depends on the demographic you are targeting. For instance, 39% of consumers say AI authorship doesn’t change their level of trust at all, but we see a fascinating surge in confidence among younger audiences. About 38% of millennials and Gen Z respondents actually report that they would trust a brand more if they knew AI was being used to enhance the experience. The key is that these consumers value relevance and respect for their time over who—or what—typed the message. When AI helps a brand send more timely and respectful messages, trust actually grows because the utility of the email outweighs any concerns about its origin.
As AI increasingly acts as an inbox intermediary—summarizing messages and affecting open rates—how should marketers redefine success beyond traditional clicks?
The way we measure success has to evolve because AI is now effectively “opening” and summarizing emails before a human even sees them. Our research shows this phenomenon inflates open rates while simultaneously decreasing click-through rates, as consumers often get the information they need from the AI-generated summary without ever entering the email. This means we have to look deeper at metrics like retention, reengagement, and the overall impact of email on customer lifetime value. We are also tracking how email drives results in other channels, such as social media engagement or direct site visits, even when a link isn’t clicked in the message itself. Success in 2026 is about the total customer experience and how email influences the entire journey, not just a single interaction.
What is your forecast for the future of AI-driven email engagement?
The trajectory is clear: by 2027, 94% of companies expect up to 75% of their email operations to involve AI in some form, marking a near-total integration of the technology. We are moving toward a state of “scalable humanity,” where 57% of companies are already moving past pilot programs into advanced or moderate usage. This evolution will allow even the smallest teams to operate with the agility of a global enterprise, responding faster to audience needs than ever before. Ultimately, we are entering an era where the most successful email programs will be the most thoughtful ones, using AI not just to increase volume, but to ensure that every single message sent is worth the recipient’s time. This focus on relevance will ensure that email remains a primary driver of loyalty and connection for years to come.
