Unlocking your data’s true
 ROI with unified consent and preference management

The following is an excerpt from ‘The new enterprise growth engine: Unlock your data’s true ROI with unified consent and preference management'. Download the full guide here.

Executive summary: The business case for unified consent and preference management

To gain a competitive edge, enterprises are racing to harness hyper-personalization and artificial intelligence (AI). In fact, over 89% of Fortune 1000 companies increased investments in AI in 2024, while 92% of businesses—from small enterprises to tech giants—reported actively using or investing in AI-driven personalization.

These initiatives have a direct impact on revenue—McKinsey notes that companies with faster growth derive 40% more revenue from personalization than their slower growing peers. Despite their critical importance, most of these initiatives never reach full scale, held back by a single barrier: fragmented consent and preference data.

Spread across expansive digital ecosystems, user consent and preference data is unreliable and often incomplete—an unfortunate reality that slows AI adoption, limits personalization, erodes customer trust, and ultimately, blocks new revenue streams.

To drive a competitive advantage for their enterprises, Chief Information Officers (CIO) and Chief Data Officers (CDO) must treat unified consent and preference management, not as a reactive compliance checkbox, but as critical infrastructure that drives significant business outcomes.

Modern privacy platforms that enable real-time data orchestration offer a clear solution: creating a strong data foundation that empowers compliant AI innovation, trusted customer experiences, and long-term growth. According to Cisco, 95% of organizations report strong returns on their privacy investments—with an average ROI of 1.6x.

With end-to-end trust in their data and real-time visibility into consumers’ consent and preference choices, CIOs and CDOs can accelerate AI initiatives, deliver personalization at enterprise scale, and unlock new data-driven revenue channels with confidence.