Uniphore has launched Marketing AI, introducing a new approach to marketing. The platform focuses on customer intelligence. It helps marketers understand customers and predict actions before spending budgets.
Uniphore developed Marketing AI using its customer data platform architecture. Gartner also designated Uniphore as a Leader in the 2026 Magic Quadrant for Customer Data Platforms.
The platform takes this further by implementing it in the intelligence layer. This involves creating an intelligent digital twin for every customer through a small language model (SLM). This is because it learns about behavior and makes predictions on responses. This means that marketers can utilize every single customer’s pattern.
“You will know your customers better than you ever have,” says Umesh Sachdev, CEO and Co-Founder of Uniphore. “That is the power of the Marketing AI flywheel. With an iterative system that builds intelligence and decisioning around the individual customer, not the campaign, accuracy continuously compounds and the forecast becomes the plan.”
Marketing AI Enables Predictive Campaign Planning
The system enables marketers to simulate campaign performance and assess potential success before launching their campaigns. At Uniphore, marketing campaigns are tested against digital replicas in the audience population. Predicted revenue, conversions, and drop-off rates can be given for the journey process. Potential outcomes can be analyzed before any marketing investment.
Each step makes the customer’s digital twin better and retrains the simulation model. Therefore, Marketing AI becomes increasingly accurate every time around. This learning process happens after every marketing campaign. Sovereign AI offers companies more control over their models and data. Its models have open weights and utilize enterprise data. They can be deployed in cloud, on-premises, and hybrid settings.
“The scarce advantage in agentic marketing is not determined by access to a capable AI model, but rather by a model the organization can call its own to drive value while accounting for the cost of AI,” says Tapan Patel, Research Director, IDC. “When that AI model is fine-tuned on the enterprise’s own data and built per customer rather than per segment, it sharpens the decisions that matter most, resulting in fewer wasted marketing dollars.”
Marketing AI, as defined by Uniphore, is an evolution beyond CDPs. The company helps businesses use customer data to gain actionable insights and improve marketing strategies, performance, and overall customer engagement.
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News Source: Businesswire.com
