SVP - Client Technology and Product Development

Content Marketing Specialist

Scaling Content Personalization with AI

AI is transforming industries. Marketing perhaps more than most given AI’s ability to automate tasks, analyze customer behavior, optimize media spend, and generate targeted content. But many marketers are stuck in a cycle of complex, disconnected processes that limit their ability to produce and manage content, let alone effectively analyze the results of that media once it is released. While we remain in the early stages of this transformation, it’s clear the brands that can break out of that cycle will efficiently scale their AI processes and systems to deliver engaging content that converts and stands out in a crowded marketplace. 


The Power and Challenges of Personalization 

Personalization is the holy grail of modern marketing. After all, personalized creative leads to 4x higher conversions, a 15% improvement in retention rates, and has a significant multiplier effect on lifetime customer value. These metrics underscore the importance of tailoring messages to individual preferences, journeys, and needs.


Improved Performance from Personalized Ads

Why is personalization so powerful? Because it taps into customers' unique decision-making processes. When done right, it creates meaningful connections and fosters brand loyalty. 

Yet, the ability to scale personalized content — reaching vast audiences with individualized messaging — can be daunting for even the most advanced marketing teams. For brands managing hundreds of thousands of SKUs or dealing with multiple customer segments, personalization at scale requires a robust technological and data-fueled infrastructure. The myriad of organizational challenges that come with building, deploying, and integrating those systems can cause AI adoption for many enterprise brands to lag behind.


AI’s Role in Scaling Personalization

AI is a big, audacious term that can break down traditional marketing barriers to creating content at scale. It means different things to different industries and is more accessible than ever before, with AI tools available to marketers regardless of company size or vertical. But accessibility alone isn’t enough — differentiation is and will continue to be critical.

Generative AI can produce graphics that echo human creativity, predictive AI can forecast future trends, and conversational AI can have natural sounding chats with real people, to name a few.  Marketers need to approach the use of AI and its personalization potential with a clear strategy. Successfully scaling AI comes down to one thing: what are you trying to achieve? Every AI-driven campaign should have clear, measurable business goals behind it, whether it's increasing customer engagement, driving higher conversions, or improving loyalty. 


Content at Scale for Marketers: Cheat Sheet

Content at scale refers to the ability to consistently produce a large volume of high-quality content, across multiple marketing platforms, in a way that resonates with diverse audiences. 

Whether you’re dealing with millions of SKUs or hundreds of customer profiles, AI can solve the math problem of content personalization — delivering the right message to the right customer, at the right time and in the right place. 


Good Quality Data + Optimized Workflow = Success 

At the heart of AI-driven marketing is the principle of "Garbage In, Garbage Out" (GIGO). Simply put, if the data you feed into your AI systems is missing or flawed, your marketing outputs — whether creative, targeting, or budget allocations — will be equally ineffective.  

Avoiding GIGO is built on the integration of high-quality data and an optimized workflowData is the lifeblood of successful AI marketing, and optimizing your data inputs to scale content creation is the key to unlocking AI’s full potential. Without proactive data hygiene that aligns with compelling audience insights and AI-powered workflows, even the most advanced AI tools will fail to deliver. 


Personalized Content at Scale Is Possible 

Since we know that personalization improves response rates and customer loyalty, the next question is: how do you customize and optimize across millions of products, various demographics, and countless segments? 

The answer lies in AI-driven technology. This is where our proprietary solutions, ContentX and Connex®, change the personalization game, combining the impact of content at scale with the necessity of intelligent media optimization. 

ContentX is an omnichannel content management system that empowers marketers to centrally plan campaigns across multiple channels, from tailored digital ads to offline direct mail, circulars, and more. Leveraging AI, ContentX simplifies content production at scale, enabling marketers to create, manage, and update campaigns across all touchpoints. Acting as a central source of truth for marketing planning and content, ContentX provides the infrastructure to store and manage assets across both online and offline channels — streamlining workflows to achieve more in less time. 



ContentX Interface


Once all of that personalized media is launched, Rise's cross-channel media optimization platform, Connex, rounds out the performance loop. Connex transparently centralizes the analytics process using automation and real-time data for marketers to easily optimize creative, media buys, and audience targeting. Connex further empowers marketers by providing real-time alertvia text, email, or Slack so you never miss a chance to enhance messaging and drive results 


Connex Dashboard


With tools like ContentX and Connex, marketers can easily scale their content while maintaining personalization and enhancing optimizations, ensuring that campaigns remain successfully relevant to each customer segment throughout the funnel.


Embracing AI: The Path Forward 

AI is here to stay. As it continues to evolve, marketers need to get comfortable with the uncomfortable. Keeping an eye on emerging technologies and trends is critical, but it’s also important to stay curious and experiment with new tools. 

For those just beginning their AI journey, start by playing around with AI tools — test, iterate, and refine your approach. Break down the fear of AI by focusing on specific business outcomes, and always involve your compliance and data security teams to ensure you're operating within regulatory guidelines. 

For organizations already familiar with AI, the next step is to build robust workflows and architectures. Successful AI marketing requires seamless integration across multiple teams and departments, allowing for cross-functional collaboration. With the right systems in place, brands can take advantage of AI’s ability to streamline complex processes and personalize content at scale. 




AI will continue to break down traditional marketing barriers to creating meaningful, impactful, and personalized campaigns. ContentX and Connex help marketers utilize a seamless ecosystem that supports personalization and optimization at scale. With these tools, brands can align their content strategies with customer data, deliver customized messaging across all channels, and ensure every interaction contributes to long-term success. 

By adopting these tools and strategies, marketers can position themselves for success in the AI-driven present and future. Contact us today to learn more about how you can get started! 

11/04/2024 at 10:57