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Zoovu:2026年工业电商与数字销售基准报告(英文版)(24页).pdf

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1、1Zoovu 2026 Industrial Ecommerce&Digital Selling Benchmark Report2026 Industrial Ecommerce&Digital Selling Benchmark ReportInsights from 150 B2B buyer journeys across 50 industrial,life sciences and healthcare manufacturers and suppliers digital channels REPORT2Zoovu 2026 Industrial Ecommerce&Digita

2、l Selling Benchmark ReportExplore the report030405071423Executive summarySection 1The buyers journey is overloaded and unsupportedSection 2The B2B discovery journey:What buyers need vs.what they getSection 350 industrial leaders analyzedSection 4Where B2B discovery worksDrger case study3Zoovu 2026 I

3、ndustrial Ecommerce&Digital Selling Benchmark Report3Zoovu 2026 Industrial Ecommerce&Digital Selling Benchmark ReportB2B buyers face digital journeys that dont match the complexity of their needs.Instead of clarity,theyre met with sprawling catalogs,static spec sheets,and fragmented paths that leave

4、 them confused and frustrated.The result is a process that drains buyer confidence and makes sales teams less efficient.Our analysis of 150 product journeys shows just how widespread the problem is.Discovery tools are almost invisible,with only a handful of companies making them easy to find.Product

5、 pages are heavy on specs but light on answers to practical questions.And while CPQ exists,it often sits downstream,hidden behind logins,redirects,or generic forms that decay the process and requires significant time investment from sales.Without modern,guided,and AI-powered discovery,companies risk

6、 longer sales cycles,lower trust,and ultimately,missed revenue.Executive summaryIts no surprise that nearly three in four B2B buyers describe their purchase journey as“very complex”.Gartner,Buyer Enablement GuideThe lesson is clear:fix the“C”in CPQ by making configuration buyer-facing and guided.4Zo

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根据《2026 IndustrialEcommerce & DigitalSelling BenchmarkReport》: 1. B2B买家面临复杂的购买旅程,信息过载且缺乏指导,导致销售周期延长,信任度降低,收入减少。 2. 仅有少数公司提供易于发现的工具,产品页面侧重于规格而非实际问题的解答。 3. 75%的B2B买家偏好无销售代表的购买体验,70%愿意进行超过5万美元的自服务购买。 4. 仅有23%的产品详情页面显示价格,透明度不足。 5. 成功的发现工具包括部分查找器、动态筛选、2D/3D可视化工具、引导式销售助手和配置器。 6. AI在B2B发现中的应用仍处于早期阶段,但已显示出指导买家、推荐产品、减少销售干预的潜力。 7. 数据挑战是现代发现的主要障碍,需要整合和转换数据以提供直观的购买旅程。
"B2B买家如何轻松选品?" "CPQ如何提升销售效率?" "AI助力电商,效果如何?"
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