AI agents (or “agent AI”) are fundamentally changing the way organizations approach predictive customer analytics, challenging the long-standing “build vs. buy” dilemma of the Martech (marketing technology) sector. A report from Dogma Alares in collaboration with Neohub and Baysal Sezgin shows how this change will improve customer retention.
Organizations have long faced clear choices when it comes to AI adoption. Develop custom predictive models in-house for customized solutions that require substantial expertise and resources, or adopt pre-built solutions from Martech vendors for faster deployment with less customization. The fast pace of AI innovation is beginning to blur this distinction. Custom model development is now more accessible and efficient.
According to the report, many important developments are beginning to emerge. For example, AI agents dramatically speed up predictive models creation. They help to promote faster, more accessible custom solutions that were previously more resource-intensive.
Effective AI agents can now embed sophisticated predictive capabilities for the Martech platform to support customer engagement. The combination of these trends redefines strategic decision-making in customer retention, creating new opportunities and competitive advantages.
New conversion power of AI agents
Ultimately, AI agents represent the next evolutionary step of AI. Unlike previous AI systems that acted simply as tools, AI agents are autonomous systems that allow complex workflows to be performed with minimal human intervention. Combining the abilities of language interpretation, reasoning, and decision-making, it independently performs tasks that previously required important human expertise.
AI agents can autonomously collect and preprocess customer data, identify patterns that indicate termination, retention models, deploy and improve these models, and run retention campaigns based on the data. Gartner predicts that by 2028, approximately 33% of enterprise software applications will include agent AI capabilities, and approximately 15% of everyday decisions will include autonomous decisions.
This rapid shift highlights the growing integration into business workflows.
Predictive AI in Marketing
Predictive AI can leverage advanced statistical algorithms and machine learning to predict trends and behaviors from a wide range of datasets. Marketing applications are expanding rapidly, with 63% of marketing leaders already investing in AI or planning to do so within the next two years. AI agents strengthen many marketing practices, including advanced customer segmentation and product recommendations.
One of the most important applications is churn predictions. By accurately identifying customers who may leave, businesses can step forward, maximizing their lifelong value and improving satisfaction. AI agents allow for a more sophisticated approach to defining and identifying terminations via dynamic churn definitions, early warning systems, and individual termination trajectory analysis.
Navigate your build and purchase decisions
The decision to build a custom churn prediction model or buy a pre-built solution is increasingly impacted by AI agents. The “build” approach provides tailored solutions, but AI agents reduce the expertise and development time required. Conversely, those who choose to buy will have immediate access and get a faster implementation.
Organizations should evaluate these options based on their specific business goals, availability of resources, and potential for sustainable competitive advantages. AI agents make it easier to build custom models by narrowing the gap between these choices and lowering barriers to expertise, while also enabling third-party vendors to provide more tailored and intelligent solutions.
The future of customer retention
Integrating AI agents into predictive customer intelligence is a truly important moment for Martech. Understanding these changes is important for data science teams and marketing executives to adapt to the rapidly evolving landscape of AI-powered customer retention technologies. Strategic use of AI agents allows organizations to unlock unprecedented value from customer relationships and optimize technology investments.
“We expect the ongoing acceleration of AI agent capabilities to expand access to advanced predictive marketing technologies,” the report reads.
“Organisations that set themselves up to leverage these capabilities will gain significant benefits in customer retention and lifetime value optimization. The most successful organizations will approach this rapidly evolving domain with strategic flexibility and reassess their approach as AI capabilities evolve and new possibilities arise.”
