AI Personalization

Finding the Right AI Solution Amongst AI Fatigue

Erica Dingman

|

January 24, 2025

By the end of 2024, AI had become a dominant topic in marketing and, some might argue, a little too dominant. This oversaturation gave rise to terms like “AI washing,” signaling how difficult it had become for marketers to separate signal from noise. Conversations often revolved around generative AI tools, and while undeniably valuable, these tools often left marketers questioning how they fit into larger business challenges. The result? Fatigue and disengagement, as discussions focused on new features rather than meaningful, impactful solutions.

As we step into 2025, the conversation must evolve. Marketers still need a way to incorporate AI into their tech stack, but they should prioritize AI solutions designed to address specific business challenges. 

The Challenges of Large-Scale Email Personalization

Consider large-scale email programs, for instance, where performance has steadily declined year over year. Rather than bringing in a solution like generating copy quickly, which may only increase production efficiencies, marketers should consider how they can utilize AI to drive business results. 

One of the most significant challenges for email marketers is a brand’s need to communicate with the ever-changing preferences of its customers. Personalizing content at scale and iterating on messaging are daunting tasks, yet they are critical for maintaining engagement, driving conversions, and fostering loyalty.

Many marketers rely on predictive or propensity models to analyze past behaviors and create audience segments for generalized campaigns. While these approaches provide valuable insights, they often have some limitations in their current application. First, many brands lack sufficient data on a large portion of their email audience, leaving them with minimal visibility into these customers’ preferences. Second, even for segments where data is available, propensity scores offer only a static snapshot of past interests—insights that may not reflect a customer’s current or future needs. Finally, propensity scores have traditionally been used to target audience segments rather than tailoring experiences at the individual level.

Without a way to quickly adapt to evolving customer interests, marketers risk missing opportunities to deliver meaningful, relevant experiences that truly resonate with their audience.

Ready to make Q1 your most successful quarter yet?

Download The Modern Marketer's Guide to Q1 Planning to start your year off on the right track.

Get it here

How Da Vinci Goes Beyond Traditional AI

Unlike many AI solutions introduced in recent years, Da Vinci is purpose-built to comprehensively solve a business problem—personalizing large-scale email programs. This approach leverages an ensemble of advanced AI models that work in unison to continuously adapt to nuanced changes in customer preferences.

Through this integrated approach, Da Vinci not only delivers personalized experiences for every recipient but also empowers marketers to achieve multiple objectives within a single campaign—whether increasing engagement, boosting conversions, or nurturing long-term loyalty.

How Da Vinci Executes Personalization

Delivering campaigns that delight customers, provide actionable insights, and achieve lasting results is no small feat—doing so consistently and at scale is even harder. Da Vinci bridges this gap with its ensemble approach to AI that encompasses:

  • Data-Driven Content Decisioning: Leverages email engagement data, customer profiles, product information, and transaction history to tailor content for individual recipients.
  • Alignment with Brand Objectives: Accommodates both short-term campaign goals and long-term business strategies, ensuring content aligns with overall brand priorities.
  • Continuous Testing and Optimization: Strategically distributes content while continuously testing and learning, enhancing model performance with each campaign.
  • Adaptive Feedback Loops: After every campaign, Da Vinci analyzes recipient behavior—such as which creative assets performed best, optimal engagement times, and preferred communication frequency—to refine future campaigns.

This feedback loop ensures campaigns grow increasingly relevant with every interaction. By learning and adapting continuously, Da Vinci unlocks deeper insights into customer trends and preferences, driving sustained performance improvements. The more it’s used, the more effective it becomes.

Use AI That Solves Your Most Pressing Problems

Understanding your customers is the key to building strong, enduring relationships. With Da Vinci, marketers gain unparalleled insights into how their audience evolves, empowering them to meet customer needs with unmatched speed, relevance, and precision.

Don’t let narrow-scoped AI solutions hold you back. Schedule a call today to discover how Da Vinci can transform your campaigns and deliver the results your audience deserves.