
Marketing AI agents need live, connected customer data to choose messages, audiences, channels and timings, Brand Equity reports. Yet customer information often sits across five to eight separate systems, including CRM platforms,…
Marketing AI agents need live, connected customer data to choose messages, audiences, channels and timings, Brand Equity reports. Yet customer information often sits across five to eight separate systems, including CRM platforms, data warehouses, mobile and web event streams, and campaign records. These systems may support reporting but struggle with decisions that must be made within seconds.

Companies that buy the agent layer first can then face costly, unplanned data infrastructure work, leaving the technology unused. Brand Equity says marketers should first check whether they have a consistent customer record, updated across touchpoints, that can be trusted and acted on in real time. Otherwise, stale or incomplete data may produce mistimed messages and damage customer trust.
The loudest AI narrative treats buying an agent as the hard part, while the less glamorous data work gets ignored. The opposite exaggeration is to dismiss agents as mere hype. Both miss the practical test: can a system combine a customer’s latest browsing, purchase and complaint signals quickly enough to make one useful decision? A live test across several touchpoints, with error rates and response times published, would settle more than another product demonstration.
Source: brandequity.economictimes.indiatimes.com
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