Enterprise AI company Uniphore is expanding its Marketing AI offering as it looks to move marketers beyond traditional customer data platforms and towards AI-driven systems that can connect customer intelligence directly with campaign execution.
Uniphore Marketing AI is designed to bring customer data, artificial intelligence and marketing activation into a common framework. Rather than functioning only as a repository for customer information, the platform uses AI agents to help marketers build audiences, activate campaigns, analyse performance and automate parts of marketing workflows.
The offering works with existing marketing technology infrastructure, including customer data platforms, customer relationship management systems, advertising platforms and data environments. Uniphore says its architecture can connect to customer information without requiring businesses to migrate or duplicate all of their underlying data.
At the centre of the offering is CDP Agent, an AI-first composable customer data platform designed to connect fragmented customer information and make it available for marketing activation.
The platform includes identity resolution capabilities intended to connect customer records across different sources. Marketers can then use this information for audience segmentation, personalisation, journey orchestration and campaign measurement.
Uniphore is also bringing agentic AI into audience creation. Its Audience Agent allows marketers to describe the customers they want to reach using natural-language prompts rather than manually constructing complex filters or writing database queries. The system interprets the request and generates an audience definition using relevant customer attributes.
The company's broader Marketing AI strategy extends beyond audience creation. AI agents can be used to analyse customer intent, identify churn risks and high-value segments, coordinate activation across channels and generate attribution and optimisation signals.
Governance is another component of the platform. Uniphore says consent requirements, regulatory controls and brand policies can be incorporated into activation workflows, with the aim of applying these controls while campaigns are being executed rather than only reviewing them afterwards.
The approach reflects a wider shift in marketing technology as AI becomes more closely integrated with customer data infrastructure. Traditional CDPs have largely focused on collecting, organising and activating customer information. Agentic systems are increasingly being positioned to take additional steps, including interpreting data, recommending actions and executing defined marketing workflows.
Uniphore says its CDP Agent can reduce audience creation time by 65%. The company has also published customer outcomes including higher conversion rates, improved acquisition efficiency and stronger campaign performance. These results relate to specific customer implementations and should not be interpreted as guaranteed outcomes for every deployment.
Marketing AI sits within the wider Uniphore Business AI Cloud, which provides data, AI models and agent orchestration capabilities for enterprise applications. The company has previously positioned the platform around moving businesses from isolated AI experiments towards production deployments.
With Marketing AI, Uniphore is positioning the CDP less as a standalone destination for customer data and more as part of an AI-enabled marketing infrastructure where data can feed directly into audience decisions, campaign activation and measurement.
Disclaimer: This article may include information derived from interviews, press releases, public statements, research, company communications and other publicly available or third-party sources. Such material may be summarised, paraphrased or contextualised for journalistic and editorial purposes. All rights in third-party content remain with their respective owners.
Related Articles
