深度报告-2026-01-01-Funnel.io-2026年营销智能报告_32页_2mb

2026 Marketing Intelligence Report Summary

Core Content

The 2026 Marketing Intelligence Report by Funnel explores the current challenges and opportunities in the marketing industry, particularly in the context of increasing data, tools, and AI adoption. Despite these advancements, marketers are not seeing the expected results, and there is a significant gap between data availability and actionable insights.

Main Points

• The Marketing Data Paradox: Marketers are overwhelmed by data but struggle to convert it into meaningful insights. Only 33% of in-house marketers invest in structured data and metadata, which are essential for AI to function effectively.
• AI's Role: AI is seen as a potential game-changer, but it's not a magic bullet. It requires clean, unified data to deliver accurate and useful insights. Marketers often confuse generative AI (e.g., ChatGPT) with machine learning, which are used at different stages of the marketing process.
• Creativity and AI: There is a tension between AI's potential to enhance creativity and the fear that it might replace it. While 54% of marketers believe AI enhances creativity, 46% admit creative roles are most at risk of decline due to AI.
• Experimentation and Culture: Marketers are not experimenting enough, with only 13% practicing continuous review and refinement. A lack of trust in data, fear of failure, and resistance from leadership hinder bold experimentation.
• Advanced Analytics: Advanced analytics methods like data-driven attribution, marketing mix modeling, and incrementality testing are underutilized. Only 21% of agency marketers and 8% of in-house marketers consistently use these methods.
• Data Skills Gap: There is a significant lack of data skills among marketers, with only 30% using automation for repetitive tasks. Marketers need to develop these skills to better understand and leverage data for strategic decisions.
• The Path Forward: To improve, marketers should:
  • Transition from reporting to discovery.
  • Encourage experimentation and reduce the fear of failure.
  • Build AI-ready infrastructure with clean data.
  • Invest in upskilling and democratizing access to analytics.

Key Information

• Marketers' Self-Evaluation: Marketers rate their performance and agencies as mediocre, with an average of B- and 81% respectively.
• Data Challenges:
  • 72% of in-house and 55% of agency marketers find it hard to turn data into insights.
  • 86% of in-house and 79% of agency marketers lack a clear signal of performance across channels.
• AI Adoption:
  • 93% of marketers believe AI helps generate content faster.
  • AI is not just about speed but also about delivering better, more impactful campaigns.
• Future of Search:
  • 64% of marketers expect traditional search engines to be used less in the next 2-3 years.
  • 43% expect shorter customer journeys due to AI-assisted decision-making.
  • 41% believe customer journeys will be more fragmented and unpredictable.
• Measurement Evolution:
  • The shift from last-click attribution to more advanced methods like marketing mix modeling is necessary.
  • Independent measurement is critical as third-party data becomes less reliable.
• Empowerment and Confidence:
  • 76% of marketers who use advanced analytics feel empowered to experiment.
  • Only 36% of those with limited or no advanced analytics skills feel the same.
  • Marketers need to be more confident in interpreting data and making decisions.

Summary of Findings

Recommendations

• Build a strong data foundation: Ensure data is clean, unified, and accessible to all teams.
• Invest in automation: Free up time for strategic thinking by automating repetitive tasks.
• Upskill and democratize data access: Provide training and tools to all marketing professionals.
• Foster a culture of experimentation: Encourage risk-taking and learning from failure.
• Adopt advanced analytics: Use data-driven attribution, marketing mix modeling, and incrementality testing to make informed decisions.
• Align with business goals: Ensure marketing efforts are clearly tied to business outcomes and financial performance.

Conclusion

The report highlights that while marketers have access to more data and tools than ever before, they are not leveraging them effectively. The key to success lies in transforming data into insight, building trust in data infrastructure, and creating a culture that supports innovation and experimentation. Marketers must evolve their approach to analytics and AI to stay competitive in a rapidly changing landscape.