IoT is positioned as a key transition from “omni-channel marketing” to “everywhere marketing,” enabling companies to stay connected with consumers beyond screens and across otherwise “analog” moments in the customer journey. The consumer IoT landscape centers on smart devices—watches, home appliances, entertainment systems, health and sports devices, and connected cars—typically justified by added value such as convenience, communication, and utility. In retail, IoT solutions like self-checkouts, interactive shelves, and smart mirrors can simultaneously improve user experience and strengthen consumer tracking, intensifying both opportunity and risk.
The central tension is privacy: IoT devices sit inside daily life, making data use more sensitive than in many other channels. A critical distinction must be maintained between collecting personally identifiable information (PII) to deliver a service and repurposing the same PII for marketing. While GDPR applies, IoT raises heightened complexity around granular consent (especially when devices lack interfaces), profiling constraints and impacts, multi-party data sharing that can trigger joint controllership, and the coupling prohibition that limits tying core service access to non-essential marketing consent.
IoT frequently operates at household level rather than individual level, complicating consent and processing, and future scenarios may involve autonomous device-to-device interactions with third parties. Additional uncertainty comes from the timing and scope of the planned E-Privacy Regulation, including rules affecting machine-to-machine communication and non-PII data. IoT and AI mutually reinforce each other—IoT feeds model training and ML enables device features—blurring the line between core service and marketing. Success ultimately depends on whether perceived user benefit outweighs tracking and targeting, and on earning trust through clear purpose definition and strong governance.
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