2024年人工智能在B2B市场营销中的应用研究报告

1.0Executive Summary This Demand Spring study explores the current landscape of Artificial Intelligence(AI) adoption within B2B marketing.We surveyed C-Level Executives, Senior VicePresidents/Vice Presidents, Senior Directors/Directors, and specialists to gaininsights into how various North American B2B industries and organization sizes are 3.0Introduction The rise of Artificial Intelligence (AI) has significantly impacted various industries,including financial services, healthcare, technology, manufacturing, professionalservices, and many more.B2B marketing, in particular, can leverage AI’s capabilitiesto automate tasks, gain deeper customer insights, and personalize marketing Current State ofAI Adoption in B2B4.0 4.1Adoption Rates and Familiarity Our research reveals a significanttrend in B2B organizationsregarding Artificial Intelligence (AI).A commanding majority (87%)of respondents acknowledge the HOW FAMILIAR ARE YOUR MARKETING TEAMSWITH THE POTENTIAL BENEFITS OF AI INMARKETING TODAY? WHAT IS YOUR MARKETINGORGANIZATION CURRENTLY there is a clear race to capitalize on its potentialcompetitive advantages. As AI technologycontinues to mature and user adoption becomesmore widespread, we can expect to see a surgein B2B marketing innovation. Early adopters whoestablish a strong foundation in AI will be best 4.2Key Benefits Sought from AI We asked respondents about the business benefits theirB2B organization is seeking from AI implementation. These findings suggest a strong alignment between B2B marketers’ prioritiesand AI’s capabilities. However, to bridge the gap between awareness andimplementation, we propose the following recommendations: A dominant 76% of respondents identified improved productivity as akey benefit, highlighting AI’s ability to automate repetitive tasks and free uphuman resources for strategic endeavors. Furthermore,a substantial portion(63%) acknowledged AI’s role in enhancing marketing campaigns, while suggestion, headline optimization, and even initial draft generation. This frees up valuable time forhuman marketers to focus on refining the content and ensuring brand consistency. messages and create more targeted campaigns. Examples include tailoring website content basedon user behavior, recommending relevant products to specific customer segments, and optimizingemail campaigns for improved engagement. The technical complexities of AI should not be a barrier to adoption. We recommend B2B marketersseek out AI solutions specifically designed for their needs. These solutions should be user-friendly and accessible, enabling marketers to harness the power of AI without requiring extensive technical expertise. strategies. This could involve piloting AI automation in a specific area, such as email marketing,or personalizing website content for a particular customer segment. By closely monitoring results and iterating based on learnings, B2B marketers can refine their approach and maximize theeffectiveness of AI implementation. 4.3Applications of AI in B2B Marketing THESE AI APPLICATIONS HAVE CONTRIBUTED TO A MODEST IMPROVEMENT (58%) INTHE OVERALL EFFICIENCY AND EFFECTIVENESS OF B2B MARKETING CAMPAIGNS.HOWEVER, IT’S IMPORTANT TO NOTE THAT THIS IS LIKELY THE BEGINNING OF A MUCH TOP 3MARKETING PROCESSES THAT ORGANIZATIONS AREUSING AI APPLICATIONS OR FUNCTIONALITY FOR TODAY. AI-powered tools are streamlining content development workflows. They assist with tasks like topic suggestion,headline optimization, and even initial draft generation.This frees up valuable time for human marketers to focuson refining the content and ensuring brand consistency. Repetitive tasks such as email marketing campaigns, leadscoring, and social media scheduling are being automated by AI. This allows B2B marketers to focus on more strategicinitiatives and improve overall campaign efficiency. deeper customer insights, identify hidden trends, and makedata-driven decisions to optimize marketing campaigns. Challenges and Barriersto AI Implementation5.0 facing several challenges when implementing AI. 5.1Skill Gaps and Internal Expertise There’s been talk around AI replacing marketing roles,but our research paints a different picture. EXPERT INSIGHT “AI has been used in marketing organizations for over a decade, andhas been gradually impacting roles in marketing organizations throughanalytics and process automation, putting a premium on the need to knowhow to understand and use AI effectively. The emergence of GenerativeAI in the last year is likely to turbo charge this trend and significantly While76% of respondents say AI hasn’t significantly replaced marketingjobs,10-25% of roles (primarily content creation and data analysis) haveseen some automation.However, a critical gap emerges:63% of respondentsacknowledge a lack of AI-related skills within their marketing teams, MARKETING TEAMS TO-DATE WITH AI-DRIVEN TECHNOLOGY. Capital Management. Former CEO, Leadspace. Former CMO, Salesforce