European B2B Marketing Has A Data Problem, Not A Vision Problem

2026-06-01 · Source: Featured Blogs - Forrester · Field: Business & Management — Marketing, Branding & Advertising, Corporate Strategy & Leadership · Depth: Intermediate, short

Summary

European B2B marketing leaders face a significant data problem, despite having a clear strategic vision for adapting to buyer behavior, investing in AI, and driving growth. Execution lags because a quarter of these leaders cite poor data quality and accessibility as a major challenge, particularly impactful in a multi-market region. This fragmentation slows decision-making and limits insight reuse. Furthermore, over one in four marketing leaders report that analytics recommendations are not readily accepted due to a lack of confidence in the underlying data. The rapid adoption of generative AI by around 90% of European B2B marketing leaders exacerbates this issue, as AI amplifies problems stemming from inconsistent data foundations. Many organizations are addressing symptoms rather than the root cause, necessitating a shift towards treating data as a shared, foundational asset to enable consistent decision-making and link measurement directly to action.

Key takeaway

For B2B marketing leaders struggling to translate clear strategy into measurable outcomes, your execution challenges likely stem from a fragmented data foundation, not a lack of vision. You must prioritize transforming your data from a local asset into a shared, trusted resource across markets and functions. This shift will enable consistent decision-making and ensure insights from analytics, including those from generative AI, genuinely guide your actions, rather than being debated or ignored.

Key insights

European B2B marketing's execution lag stems from poor data quality and lack of confidence, amplified by generative AI adoption.

Principles

• Weak data foundations multiply operational issues.
• Lack of data confidence delays evidence-based decisions.
• Generative AI amplifies existing data quality problems.

Topics

• B2B Marketing
• Data Quality
• Data Accessibility
• Marketing Analytics
• Generative AI
• Data Strategy

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Consultant, Marketing Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.