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March 13, 2026, 6:13 a.m.
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Bridging the Gap: Using AI for Personalized and Responsive Customer Engagement in Marketing

Brief news summary

In today’s fast-paced digital world, customers expect instant, personalized, and conversational interactions with brands, often enabled by advanced large language models (LLMs). However, many marketers struggle to meet these expectations. Salesforce’s State of Marketing report reveals that 69% of marketers have difficulty responding quickly to customer needs, risking satisfaction and missed opportunities. Furthermore, 84% rely on generic campaigns rather than personalized ones, reducing engagement and ROI. While 75% of marketers use AI for data analysis and automation, most apply it primarily for one-way messaging instead of dynamic, tailored conversations. This underscores the need for marketers to rethink AI integration by investing in tools and talent that support real-time, interactive, personalized engagement. Moving beyond traditional approaches to adopt innovative strategies can significantly improve customer relationships, loyalty, and business outcomes. The report stresses that technology alone is insufficient; AI must facilitate meaningful interactions. Closing this gap is essential for brands to succeed in today’s competitive market.

In today’s rapidly evolving digital environment, customers increasingly expect brand interactions to resemble the experience of engaging with advanced large language models (LLMs). They demand interactions that are immediate, conversational, and highly personalized, marking a significant shift in consumer expectations. Despite these clear preferences, many marketers struggle to meet these demands effectively. Salesforce’s Tenth Edition State of Marketing report, based on a survey of nearly 4, 500 marketing professionals, reveals that 69% of marketers admit to difficulty responding promptly to customers. This lag in response can reduce customer satisfaction and result in lost business opportunities, as consumers now anticipate real-time communication and swift resolutions. Additionally, the report shows that 84% of marketers still run generic campaigns instead of personalized marketing efforts. Such non-personalized campaigns often fail to deeply engage individual consumers, leading to lower interaction rates and diminished return on investment. This highlights a crucial disconnect between customer expectations and marketers' current strategies. The advent of artificial intelligence (AI) and machine learning has reshaped many industries, including marketing. About 75% of marketers have integrated AI into their operations, using it to analyze data, segment audiences, and automate messaging.

However, despite this broad adoption, many use AI mainly to distribute one-way, generic campaigns rather than to craft interactive, personalized experiences that customers now desire. This gap illustrates an urgent need for marketers to reconsider how they integrate AI into customer engagement. AI’s true potential lies not only in automation but in enabling dynamic conversations that adapt in real time to individual customer preferences and behaviors. Reaching this level of sophistication requires investing in advanced AI tools, data infrastructure, and skilled professionals capable of creating and executing conversational marketing strategies. Furthermore, shifting consumer expectations compel marketers to move away from traditional tactics toward innovative approaches that prioritize personalization and responsiveness. Brands that successfully make this transition will build stronger customer relationships, increase loyalty, and ultimately achieve better business results. Salesforce’s State of Marketing report serves as a vital reminder that while technology adoption is increasing, the practical application of these tools must evolve to address the complex demands of modern consumers. Marketers are encouraged to use AI not just as a means for efficiency but as a powerful catalyst for generating engaging, relevant, and meaningful customer interactions. In summary, the future of marketing depends on closing the gap between current generic methods and the interactive, personalized experiences customers expect—akin to conversing with intelligent language models. Embracing this evolution will enable brands to connect more effectively with their audiences and thrive amid growing competition.


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