AI agents are revolutionizing the Marketing function
AI agents (or ‘agentic AI’) are fundamentally changing how organizations approach predictive customer analytics, challenging the long-standing ‘build versus buy’ dilemma in the MarTech (marketing technology) sector. A report from Dogma Alares in collaboration with NeoHub and Baysal Sezgin shows how this shift can lead to better customer retention.
Regarding adopting AI, organizations have long faced a clear choice: Develop custom predictive models in-house for tailored solutions requiring substantial expertise and resources, or adopt pre-built solutions from MarTech vendors for rapid deployment with less customization. The fast pace of AI innovation has begun to blur this distinction. Custom model development is now more accessible and efficient.
Many significant developments have begun emerging, according to the report. For example, AI agents are dramatically speeding up the creation of predictive models. They can help facilitate faster, more accessible custom solutions that were previously too resource intensive.
Effective AI agents now also allow MarTech platforms to embed sophisticated predictive features and support customer engagement. These combined trends are redefining strategic decision-making in customer retention, creating new opportunities and competitive advantages.
New transformative power of AI agents
In the end, AI agents represent the next evolutionary step in AI. Unlike earlier AI systems that functioned as merely tools, AI agents are autonomous systems capable of executing complex workflows with minimal human intervention. They combine capabilities like language interpretation, reasoning, and decision-making to independently perform tasks that previously demanded significant human expertise.
AI agents can now autonomously collect and preprocess customer data, identify patterns that could indicate churn, design retention models, deploy and refine these models, and execute retention campaigns based on data. Gartner forecasts that by 2028, approximately 33% of enterprise software applications will include agentic AI capabilities, with autonomous decision-making in about 15% of routine decisions.
This rapid shift underscores their growing integration into business workflows.
Predictive AI in marketing
Predictive AI, leveraging advanced statistical algorithms and machine learning, can anticipate trends and behaviors from extensive datasets. Its application in marketing is expanding rapidly, with 63% of marketing leaders already invested in AI or planning to do so within the next two years. AI agents are augmenting numerous marketing practices, like advanced customer segmentation and product recommendations.
One of the most critical applications is churn prediction. By accurately identifying customers that are likely to leave, businesses can proactively intervene, maximizing customer lifetime value and improving satisfaction. AI agents are enabling more sophisticated approaches to defining and identifying churn through dynamic churn definitions, early warning systems, and individual churn trajectory analysis.
Navigating the build versus buy decision
The decision to build a custom churn prediction model or buy a pre-built solution is increasingly influenced by AI agents. While the ‘build’ approach offers tailored solutions, AI agents are reducing the required expertise and development time. Conversely, those that choose to buy get immediate access and quicker implementation.
Organizations must evaluate these options based on their specific business objectives, resource availability, and the potential for sustainable competitive advantage. AI agents are narrowing the gap between these choices, making it easier to build custom models by lowering expertise barriers, while simultaneously enabling third-party vendors to offer more tailored and intelligent solutions.
The future of customer retention
The integration of AI agents into predictive customer intelligence is truly an important moment for MarTech. For data science teams and marketing executives alike, understanding these shifts is crucial for adapting to the rapidly evolving landscape of AI-powered customer retention technologies. By strategically leveraging AI agents, organizations can unlock unprecedented value from their customer relationships and optimize their technology investments.
“Looking ahead, we anticipate continued acceleration in AI agent capabilities that will broaden access to advanced predictive marketing technologies,” reads the report.
“Organizations that position themselves to leverage these capabilities will gain significant advantages in customer retention and lifetime value optimization. The most successful organizations will approach this rapidly evolving area with strategic flexibility and reassess their approach as AI capabilities evolve and new possibilities emerge.”
