B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Recent
4x
4x -- ad spend return on ad spend for 零售集团 (2025)
一家与Ekimetrics合作的全球领先零售集团在亚太市场实现了4:1的广告投入回报率（ROAS）。
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
4x
Unit
Ratio
Data Vintage
2025
Entity
Geography
China
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
数据猿
Primary
Tier C
https://www.ekimetrics.com/zh-cn/articles/ekimetrics-china-gm-interview-by-datayuan ↗
Source Article
Ekimetrics中国区总经理专访：数据科学+AI双引擎，在中国咨询圈杀出新路径
Ekimetrics中国区总经理专访：数据科学+AI双引擎，在中国咨询圈杀出新路径
近日，Ekimetrics中国区总经理Christina接受数据猿专访，分享在AI浪潮中的差异化路径及中国市场战略。Ekimetrics凭借“数据科学为骨，AI为翼”的核心方法论，正助力企业实现从经验驱动到数据驱动的转型。
随着大语言模型的竞争格局逐渐明朗，企业对生成式AI的关注，也从实验室的“炫技”转向更务实的商业价值落地。
在咨询行业，变化尤为明显。
麦肯锡推出QuantumBlack，贝恩牵手OpenAI，BCG主推AI@Scale，几大传统咨询巨头几乎在同一时间开始“重做”AI，让这项技术技术能更直接地…
Original Research
数据猿
· Original study ↗
Methodology
广告投入回报率
Methodology documented
Segmentation
IndustryRetail
RegionChina
Channelpaid_ads
Cite this stat
Plain Text
零售集团: 4x ad spend return on ad spend. Source: 数据猿 (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/ekimetrics_china_interview_roas_2025
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<blockquote cite="https://lighthousedata.io/data/ekimetrics_china_interview_roas_2025" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>4x</strong> -- ad spend return on ad spend for 零售集团<br><small>Source: 数据猿 (2025) · <a href="https://lighthousedata.io/data/ekimetrics_china_interview_roas_2025" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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