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最新洞察与资源

获取专家分析、基于真实项目的经验洞察，以及精选的客户与行业动态。深入了解营销测量、营销评估相关趋势、行业特定洞察，并访问我们全面的资源库，帮助您解读营销表现并支持战略决策。

Featured by Ekimetrics

新闻
January 26, 2026
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Ekimetrics 再度荣获Forrester Wave™营销测量与优化领导者称号

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成功案例
December 8, 2025
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How Eurostar strengthened its brand awareness and optimized train occupancy thanks to Ekimetrics’ Marketing Mix Modeling

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文章
November 25, 2025
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从“说不清的价值”到“算得清的投资”：长期品牌建设ROI的科学衡量

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热门话题

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营销策略提效与优化

通过先进的营销组合模型（MMM），识别增长驱动因素、测试不同情景，并在渠道与产品之间优化营销组合，实现可持续、数据驱动的业绩提升。

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文章
July 21, 2025
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Marketing Mix Modeling: A holistic method to reveal the actual impact of all your marketing levers

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文章
June 27, 2025
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Short-term results vs. long-term strategy: ​​Avoid trade-offs with Marketing Mix Modeling

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文章
June 12, 2025
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Driving adoption and impact: How Agentic AI is transforming Marketing Mix Modeling

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奢侈品美妆

结合数据分析与行业洞察，我们帮助客户加速零售与奢侈品业务增长，强化品牌资产，并在各市场与客户旅程中推动可持续的全渠道发展。

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February 27, 2026
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Luxury retail: How agentic AI allows “the right person at the right place at the right time”

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文章
November 25, 2025
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从“说不清的价值”到“算得清的投资”：长期品牌建设ROI的科学衡量

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白皮书
November 25, 2025
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白皮书: 长期品牌建设ROI的科学衡量

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筛选与搜索

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白皮书
June 8, 2023
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ChatGPT and generative AI, a turning point in the history of AI ?

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AI与生成式AI
白皮书
June 6, 2023
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Marketing Strategies: Navigating the New Normal. Marketing Benchmark For FMCG Sector in APAC

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消费品
营销策略提效与优化
白皮书
May 4, 2023
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Marketing Strategies: Navigating the New Normal. Marketing Benchmark For Luxury Fashion Sector in APAC

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奢侈品、时尚与美妆
营销策略提效与优化
白皮书
May 2, 2023
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Surviving Inflation: How can data create a competitive edge by steering price and promo?

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营销策略提效与优化
白皮书
September 28, 2022
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Exploring the links between creative execution and marketing effectiveness

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营销策略提效与优化
白皮书
September 26, 2022
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Navigate short term market volatility by building an adaptive marketing measurement capability

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营销策略提效与优化
白皮书
July 13, 2022
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A practical approach to the cookieless future of marketing effectiveness

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营销策略提效与优化
白皮书
March 31, 2022
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Marketing Measurement & Optimization: in-housed, outsourced or hybrid?

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营销策略提效与优化
白皮书
May 10, 2022
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Overcoming the Overwhelm: The Changing Face of Connected-Car Data

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