AI is revolutionising the marketing landscape, from customer understanding to content creation and performance measurement.
Snowflake’s third annual “Modern Marketing Data Stack 2025: How Leading Marketers Are Thriving in a World Redefined by AI, Privacy and Data Gravity” report offers an examination of how organisations are adapting to an AI-driven marketing landscape whilst juggling privacy concerns and data management challenges.
Drawing from usage patterns of nearly 9,800 customers as of April 2024, Snowflake’s analysis identified ten crucial technology categories that organisations must consider when building their marketing technology stacks to harness AI effectively.
The report highlights a fascinating paradox in modern marketing: whilst marketers have access to unprecedented volumes of customer data to craft personalised campaigns, they face mounting pressure from privacy-conscious consumers demanding greater transparency and control over their personal information.
“The ‘data gravity’ phenomenon underscores the need to unify and centralise data, breaking down the silos that limit an overview of the customer, and thus make the most of the potential of AI whilst ensuring compliance with privacy regulations,” the report notes.
Five key trends from Snowflake’s research:
- Rise of the data-empowered marketer
Modern marketers are increasingly focusing on managing AI tools rather than grappling with technical complexities. This shift enables data teams to take on more strategic roles earlier in the marketing process.
- Sophisticated data integration
Applications are evolving to centralise data without moving it, integrating directly with brand environments and leveraging AI for enhanced efficiency. This approach emphasises the importance of designing seamless customer experiences.
- Measurement strategy overhaul
Digital marketing measurement is undergoing significant changes due to increased privacy concerns. Two prominent solutions have emerged: data clean rooms for privacy-compliant user behaviour analysis, and a revival of media mix modelling (MMM) for cross-channel performance assessment.
- First-party data primacy
As third-party cookies become obsolete, first-party data has taken centre stage. This shift enables marketers to gather deeper behavioural insights directly from their digital properties, leading to more precise, privacy-conscious marketing strategies.
- Commerce media explosion
The report identifies a significant surge in commerce media, which expands upon retail media by utilising first-party data within closed-loop ecosystems. This approach has gained traction across various industries, offering a privacy-compliant solution for targeted advertising.
Looking ahead, the report suggests that success in marketing will increasingly depend on organisations’ ability to adapt to emerging technologies like AI while maintaining a firm grasp on privacy considerations and data management best practices.
(Photo by Possessed Photography)
See also: Mapp AI Chat tool simplifies data analysis for marketers
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