Artificial intelligence is changing how B2B marketers engage buyers, but many organizations are still struggling to identify which marketing activities actually influence purchasing decisions. A new survey commissioned by Madison Logic and conducted by The Harris Poll suggests that while marketing teams are increasingly prioritizing measurable business outcomes, attribution remains one of the industry’s biggest unresolved challenges.

The rise of generative AI, evolving buyer behavior, and tighter marketing budgets are accelerating a shift toward performance-driven marketing. Yet despite growing investments in analytics, intent data, and AI-powered marketing technologies, many B2B organizations continue to face difficulty connecting campaigns to revenue.

That disconnect is highlighted in a new survey released by Madison Logic, a B2B marketing technology company specializing in intent-driven marketing and account-based engagement. Conducted by The Harris Poll, the study surveyed more than 300 U.S. decision-makers across marketing, advertising, communications, and social media.

Among the most notable findings, 84% of respondents said modern marketing is now centered on proving return on investment (ROI). However, 48% acknowledged they are still “guessing” which marketing activities ultimately influence purchasing decisions, underscoring the ongoing complexity of attribution in increasingly fragmented buying journeys.

The results illustrate a broader industry transition as marketing organizations move beyond AI experimentation toward measurable business execution.

Keith Turco, Chief Executive Officer of Madison Logic, said organizations that successfully connect intent signals, customer data, and pipeline outcomes in real time will be better positioned to compete as marketing becomes increasingly accountable for revenue generation.

Why the Findings Matter for Marketing Leaders

The survey reflects growing pressure on marketing organizations to demonstrate business value rather than simply generate engagement metrics.

As enterprise buying cycles become longer and involve multiple stakeholders across digital and offline channels, accurately measuring campaign influence has become more challenging. AI-generated content has expanded the volume of available marketing assets, but it has also intensified competition for buyer attention and made differentiation more difficult.

For chief marketing officers (CMOs), demand generation leaders, and revenue marketing teams, this means attribution models must evolve beyond traditional last-click measurement to incorporate buying intent, account engagement, pipeline progression, and revenue contribution.

The survey suggests many organizations are still working toward that goal despite significant investments in marketing technology.

AI Is Changing Marketing Measurement

Artificial intelligence is influencing nearly every stage of the marketing lifecycle—from content creation and audience segmentation to campaign optimization and predictive analytics.

However, AI has also increased the need for stronger measurement frameworks.

According to the survey, 79% of respondents believe marketing is becoming more performance focused, while 90% said marketers who cannot clearly demonstrate business impact will face greater difficulty securing future budgets.

At the same time, respondents emphasized that creativity remains essential. More than nine in ten (91%) agreed that successful modern marketing requires balancing data-driven decision-making with human storytelling, suggesting that AI is augmenting rather than replacing creative strategy.

This balance is becoming particularly important as organizations seek to differentiate their brands in increasingly crowded digital environments.

Visibility Across the Buying Journey Remains a Priority

Another significant finding centers on buyer journey visibility.

The survey found that 84% of respondents plan to improve cross-channel visibility over the next year, reflecting ongoing efforts to understand how buyers interact across websites, advertising platforms, social media, email, events, and sales conversations.

Respondents also identified social media, display advertising, and digital audio among the leading channels for future investment, indicating continued interest in measurable, flexible media strategies capable of supporting pipeline generation.

These priorities align with broader industry trends emphasizing first-party data, intent signals, and omnichannel marketing analytics.

Marketing Technology Continues to Evolve

The survey highlights how marketing technology platforms are becoming increasingly integrated with broader enterprise software ecosystems.

Solutions from companies such as Microsoft, Oracle, Salesforce, Adobe, and HubSpot continue expanding AI-powered capabilities for customer engagement, campaign automation, analytics, and revenue attribution.

As these platforms mature, marketers are increasingly combining intent data, customer relationship management (CRM) insights, predictive analytics, and AI-driven recommendations to improve decision-making across the customer lifecycle.

The findings suggest that while technology capabilities continue advancing, many organizations still face organizational and analytical challenges in translating data into measurable business outcomes.

Looking Ahead

The survey reflects a marketing industry moving toward greater accountability, where success is increasingly measured by revenue contribution rather than campaign activity alone.

According to Deloitte, organizations are shifting from AI experimentation to measurable business execution as executives demand clearer operational returns. Similarly, the Interactive Advertising Bureau (IAB) has reported growing advertiser focus on performance measurement, efficiency, and accountability amid ongoing AI-driven transformation.

For marketing leaders, the message is increasingly clear: AI can improve efficiency and decision-making, but competitive advantage will depend on combining technology with reliable data, effective attribution, and strategic storytelling.

As B2B buying journeys become more complex, organizations capable of connecting marketing activity to business outcomes are likely to gain a stronger competitive position.

Market Landscape

The B2B marketing technology market is rapidly evolving as AI, intent data, and revenue analytics reshape campaign planning and measurement. Organizations are investing in account-based marketing, predictive analytics, customer journey intelligence, and omnichannel attribution platforms to improve ROI visibility and optimize marketing performance across increasingly complex buying journeys.

Top Insights

• Madison Logic’s survey found that while 84% of marketers prioritize proving ROI, nearly half still struggle to identify which activities influence purchasing decisions.
• AI is accelerating the shift toward performance marketing, increasing demand for stronger attribution models, intent data, and measurable business outcomes.
• Marketing leaders continue balancing data-driven decision-making with human creativity, with 91% of respondents viewing both as essential for long-term success.
• Cross-channel buyer journey visibility has become a strategic priority as organizations seek to better connect marketing activity with pipeline and revenue.
• Investment continues shifting toward measurable digital channels such as social media, display advertising, and digital audio to improve conversion and marketing accountability.

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