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成功案例

通过人工智能和 NPS 分析,提升店内体验

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我们的客户是奢侈品行业标志性领导者,希望于评估亚洲精品店客户满意度。Ekimetrics通过分析客户原话评价,提升了客户净推荐值(NPS)和客户旅程体验,助力客户深入洞察并采取行动优化店内体验。

Gaining more insight
into the customer journey and addressing pain points resulted in average 3% increased boutique revenue
Better in-store customer experiences
led to improved NPS by 6 points
Fashion Advisors identified as the key
to unlocking higher customer satisfaction across all segments
项目实践

解决方案

01

客户挑战

· Synthesizing feedback across more than 5,000 customer surveys across 6 different experience-based categories makes it difficult to generalize the insights into a unified, actionable plan tailored to business strategy.

· Extracting consistent insights with verbatims covering 9 different markets in Asia, written in local languages.

02

解决方案

· Conducting both qualitative and quantitative analysis on verbatim responses using Plume, Ekimetrics’ Natural Language Processing solution.

· Focus on sentiment analysis to uncover key drivers of customer satisfaction and dissatisfaction, track their evolution and identify the most mentioned underlying factors (behind the sentiment).

· Breaking down sentiment analysis results by market and key customer segments to gain granular and actionable insights to provide tailored recommendations.

03

项目成果

· AI-powered analysis to capture the key trends and areas of improvement for customer experience

· Actionable insights to shape in-store strategy and define key focus areas in each market

· Additional trainings developed for Fashion Advisors to ensure a luxury experience for all segments to improve the overall shopping experience


    

Challenge

Our approach

Outcome

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