Observed Signal · Feb 24, 2026 · Industry Report · Source: https://martech.org/feed/ · Impact: 4/5 · Sentiment: Positive
Marketers Struggle to Keep Up with AI-Driven Customer Demands
Salesforce’s State of Marketing report finds a widening gap between customer expectations for two-way, timely conversations and marketers’ ability to deliver them. While roughly three out of four organizations (75%) use some form of AI and 61% are experimenting with or implementing AI agents, many teams lack unified, real-time customer data and struggle with execution: 83% of marketers say customers expect two-way conversations, 69% say they struggle to respond quickly, and 84% say campaigns still feel generic. High-performing teams are more likely to have a unified customer data platform (57%) and clearer revenue-aligned KPIs. The report emphasizes that agentic marketing and generative AI are moving into operational workflows, but meaningful personalization depends on data architecture, governance, and AI fluency.
Salesforce's State of Marketing (a major industry report) documents broad AI adoption and highlights critical needs—real-time data activation and unified customer data—that affect personalization, marketing automation, and MarTech investments across the industry.
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Key Takeaways & Evidence Grounding
- 83% of marketers say customers expect two-way conversations.
- 69% of marketers admit they struggle to respond quickly to inquiries.
- 75% of organizations are already using at least one form of AI.
- 61% of marketers report experimenting with or fully implementing AI agents.
- 57% of high-performing marketing teams report having a unified customer data platform in place.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Marketers Say AI Uses Poor CRM Data
A Validity survey of 500 B2B and B2C marketing professionals (July 2026) finds that marketers increasingly delegate decisions to autonomous AI agents despite poor CRM data readiness. Nearly 91% say data readiness is critical for AI adoption, but only 21% consider their CRM data very well prepared. Forty-five percent already use agentic AI and two-thirds increased delegation to autonomous agents in the past year. Poor CRM data is already hitting revenue (62% said it probably or definitely cost revenue), and many marketers have acted on AI recommendations later suspected to be wrong (19% frequently, 43% occasionally). Organizational gaps — limited data governance, uneven collaboration between marketing and IT/RevOps, and unclear ownership — are cited as barriers. Respondents prioritized continuous automated monitoring, unified platforms, and third-party validation to improve CRM readiness.
Bridging the Trust Gap in AI-Driven Marketing
MarTech summarizes findings from Braze’s "Global Customer Engagement Review 2026," showing a widening gap between near-universal marketer adoption of AI and consumer skepticism about AI-driven interactions. While 93% of marketers say AI helps them better understand customers, only 53% of consumers believe brands accurately predict their wants and needs. Currently 19% of consumers report using AI intermediaries to interact with brands; Braze projects this use will grow (citing 1.4x growth this year) and suggests it could reach 46%. The report outlines four possible futures for AI-powered engagement—ranging from trusted AI agents enabling personalization to broad consumer rejection—and argues that trust, transparency, proof of consumer value, consent, and governance are strategic priorities for marketers to realize AI’s benefits.
Consumers Embrace AI, Many Brands Lag
New research from Invoca (the B2C Buyers Experience Report) finds consumers are increasingly comfortable using generative AI and AI agents across the purchase journey, preferring AI when it provides faster answers and expecting clear disclosure when they interact with it. The report warns many brands are unprepared to meet elevated expectations: slow follow-up, disconnected experiences, and poor automation continue to frustrate buyers. Consumers largely hold companies — not the underlying technology — responsible when AI interactions fail. The study also shows strong preference for hybrid experiences: 77% of consumers are more willing to use AI if they can easily transition to a human. The findings highlight operational needs around data quality, governance, prompt design, testing, and monitoring to protect brand perception.
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