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About

A leading manufacturer and retailer of beauty & cosmetics products with over $1.15 billion in annual revenue currently operating in over 3,000 stores in 61 countries and sells online in 22 multi-Linguistic countries.

  • Client wanted to measure and manage their online reputation and customer interactions across multiple social media platforms. Also, to measure effectiveness of digital marketing campaigns,
  • Extracted essential textual and statistical data from multiple data sources. Then ingested and merged social, customer and campaign data.
  • Implemented a robust process that standardized and pre-processed the mined textual data. Team then performed core mining techniques.
  • Key topics and associated context further modeled to arrive at various NLP measures such as relevance, influence and sentiment polarization.
  • Team assigned a sentiment in three categories — positive, negative, neutral. Data analysis and validation of the model was performed by verifying various trends and patterns.
  • Visual dashboards of key parameters highlighted the pre & post trends and patterns across different segments.
  • Our solution helped the client first get a sense of how the brand was perceived in the social world.
  • Pre- & Post campaign analytics helped the business stakeholders take informed decisions for future promotions.

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